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Sample records for advanced computing scidac

  1. Scientific Discovery through Advanced Computing (SciDAC-3) Partnership

    Office of Scientific and Technical Information (OSTI)

    Project Annual Report (Technical Report) | SciTech Connect Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report Citation Details In-Document Search Title: Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report The Applying Computationally Efficient Schemes for BioGeochemical Cycles ACES4BGC Project is advancing the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of

  2. SciDAC Advances and Applications in Computational Beam Dynamics

    SciTech Connect (OSTI)

    Ryne, R.; Abell, D.; Adelmann, A.; Amundson, J.; Bohn, C.; Cary, J.; Colella, P.; Dechow, D.; Decyk, V.; Dragt, A.; Gerber, R.; Habib, S.; Higdon, D.; Katsouleas, T.; Ma, K.-L.; McCorquodale, P.; Mihalcea, D.; Mitchell, C.; Mori, W.; Mottershead, C.T.; Neri, F.; Pogorelov, I.; Qiang, J.; Samulyak, R.; Serafini, D.; Shalf, J.; Siegerist, C.; Spentzouris, P.; Stoltz, P.; Terzic, B.; Venturini, M.; Walstrom, P.

    2005-06-26

    SciDAC has had a major impact on computational beam dynamics and the design of particle accelerators. Particle accelerators--which account for half of the facilities in the DOE Office of Science Facilities for the Future of Science 20 Year Outlook--are crucial for US scientific, industrial, and economic competitiveness. Thanks to SciDAC, accelerator design calculations that were once thought impossible are now carried routinely, and new challenging and important calculations are within reach. SciDAC accelerator modeling codes are being used to get the most science out of existing facilities, to produce optimal designs for future facilities, and to explore advanced accelerator concepts that may hold the key to qualitatively new ways of accelerating charged particle beams. In this poster we present highlights from the SciDAC Accelerator Science and Technology (AST) project Beam Dynamics focus area in regard to algorithm development, software development, and applications.

  3. Scientific Discovery through Advanced Computing (SciDAC) | U...

    Office of Science (SC) Website

    Historical information on the previous portfolios can be found on the SciDAC web site. ... Email a Friend Email link to: send SciDAC Web Site SciDAC Logo Meetings and Workshops ...

  4. Final Report: SciDAC Computational Astrophysics Consortium (at Princeton

    Office of Scientific and Technical Information (OSTI)

    University) (Technical Report) | SciTech Connect Technical Report: Final Report: SciDAC Computational Astrophysics Consortium (at Princeton University) Citation Details In-Document Search Title: Final Report: SciDAC Computational Astrophysics Consortium (at Princeton University) Supernova explosions are the central events in astrophysics. They are the major agencies of change in the interstellar medium, driving star formation and the evolution of galaxies. Their gas remnants are the

  5. Final Report: SciDAC Computational Astrophysics Consortium (at Princeton

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    University) (Technical Report) | SciTech Connect Final Report: SciDAC Computational Astrophysics Consortium (at Princeton University) Citation Details In-Document Search Title: Final Report: SciDAC Computational Astrophysics Consortium (at Princeton University) Supernova explosions are the central events in astrophysics. They are the major agencies of change in the interstellar medium, driving star formation and the evolution of galaxies. Their gas remnants are the birthplaces of the cosmic

  6. SciDAC Conferences

    Office of Science (SC) Website

    Conferences Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Co-Design SciDAC Institutes ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown

  7. SciDAC Computational Astrophysics Consortium (Technical Report) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Technical Report: SciDAC Computational Astrophysics Consortium Citation Details In-Document Search Title: SciDAC Computational Astrophysics Consortium Supernova explosions are the central events in nuclear astrophysics. The core-collapse variety is a major source for the universe's heavy elements. The neutron stars, pulsars, and stellar-mass black holes of high-energy astrophysics are their products. Given their prodigious explosion energies, they are the major agencies of change in

  8. National Computational Infrastructure for Lattice Gauge Theory SciDAC-2 Closeout Report Indiana University Component

    SciTech Connect (OSTI)

    Gottlieb, Steven Arthur; DeTar, Carleton; Tousaint, Doug

    2014-07-24

    This is the closeout report for the Indiana University portion of the National Computational Infrastructure for Lattice Gauge Theory project supported by the United States Department of Energy under the SciDAC program. It includes information about activities at Indian University, the University of Arizona, and the University of Utah, as those three universities coordinated their activities.

  9. National Computational Infrastructure for Lattice Gauge Theory SciDAC-2 Closeout Report

    SciTech Connect (OSTI)

    Mackenzie, Paul; Brower, Richard; Karsch, Frithjof; Christ, Norman; Gottlieb, Steven; Negele, John; Richards, David; Toussaint, Doug; Sugar, Robert; DeTar, Carleton; Sharpe, Stephen; DiPierro, Massimo; Sun, Xian-He; Fowler, Rob; Dubey, Abhishek

    2013-07-19

    Under its SciDAC-1 and SciDAC-2 grants, the USQCD Collaboration developed software and algorithmic infrastructure for the numerical study of lattice gauge theories.

  10. SciDAC Institutes | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Institutes Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Co-Design SciDAC Institutes ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown

  11. SciDAC Advances in Beam Dynamics Simulation: From Light Sources to Colliders

    SciTech Connect (OSTI)

    Qiang, J.; Borland, M.; Kabel, A.; Li, R.; Ryne, R.; Stern, E.; Wang, Y.; Wasserman, H.; Zhang, Y.; /SLAC

    2011-11-14

    In this paper, we report on progress that has been made in beam dynamics simulation, from light sources to colliders, during the first year of the SciDAC-2 accelerator project 'Community Petascale Project for Accelerator Science and Simulation (ComPASS).' Several parallel computational tools for beam dynamics simulation are described. Also presented are number of applications in current and future accelerator facilities (e.g., LCLS, RHIC, Tevatron, LHC, and ELIC). Particle accelerators are some of most important tools of scientific discovery. They are widely used in high-energy physics, nuclear physics, and other basic and applied sciences to study the interaction of elementary particles, to probe the internal structure of matter, and to generate high-brightness radiation for research in materials science, chemistry, biology, and other fields. Modern accelerators are complex and expensive devices that may be several kilometers long and may consist of thousands of beamline elements. An accelerator may transport trillions of charged particles that interact electromagnetically among themselves, that interact with fields produced by the accelerator components, and that interact with beam-induced fields. Large-scale beam dynamics simulations on massively parallel computers can help provide understanding of these complex physical phenomena, help minimize design cost, and help optimize machine operation. In this paper, we report on beam dynamics simulations in a variety of accelerators ranging from next generation light sources to high-energy ring colliders that have been studied during the first year of the SciDAC-2 accelerator project.

  12. Nucleosynthesis Woosley, Stan 79 ASTRONOMY AND ASTROPHYSICS SciDAC...

    Office of Scientific and Technical Information (OSTI)

    SciDAC 2, Computational Astrophysics Consortium, Supernovae, Computations Final project report for UCSC's participation in the Computational Astrophysics Consortium -...

  13. Stellar Evolution/Supernova Research Data Archives from the SciDAC Computational Astrophysics Consortium

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Woosley, Stan [University of California, Santa Cruz

    Theoretical high-energy astrophysics studies the most violent explosions in the universe - supernovae (the massive explosions of dying stars) and gamma ray bursts (mysterious blasts of intense radiation). The evolution of massive stars and their explosion as supernovae and/or gamma ray bursts describes how the "heavy" elements needed for life, such as oxygen and iron, are forged (nucleosynthesis) and ejected to later form new stars and planets. The Computational Astrophysics Consortium's project includes a Science Application Partnership on Adaptive Algorithms that develops software involved. The principal science topics are - in order of priority - 1) models for Type Ia supernovae, 2) radiation transport, spectrum formation, and nucleosynthesis in model supernovae of all types; 3) the observational implications of these results for experiments in which DOE has an interest, especially the Joint Dark Energy Mission, Supernova/Acceleration Probe (SNAP) satellite observatory, the Large Synoptic Survey Telescope (LSST), and ground based supernova searches; 4) core collapse supernovae; 5) gamma-ray bursts; 6) hypernovae from Population III stars; and 7) x-ray bursts. Models of these phenomena share a common need for nuclear reactions and radiation transport coupled to multi-dimensional fluid flow. The team has developed and used supernovae simulation codes to study Type 1A and core-collapse supernovae. (Taken from http://www.scidac.gov/physics/grb.html) The Stellar Evolution Data Archives contains more than 225 Pre-SN models that can be freely accessed.

  14. Stellar Evolution/Supernova Research Data Archives from the SciDAC...

    Office of Scientific and Technical Information (OSTI)

    Stellar EvolutionSupernova Research Data Archives from the SciDAC Computational Astrophysics Consortium Title: Stellar EvolutionSupernova Research Data Archives from the SciDAC ...

  15. Scientific Discovery through Advanced Computing (SciDAC-3) Partnership...

    Office of Scientific and Technical Information (OSTI)

    Authors: Hoffman, Forest M. 1 ; Bochev, Pavel B. 2 ; Cameron-Smith, Philip J.. 3 ; Easter, Richard C 4 ; Elliott, Scott M. 5 ; Ghan, Steven J. 4 ; Liu, Xiaohong 6 ; ...

  16. Advanced Scientific Computing Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, developing, and deploying computational and networking capabilities to analyze, model,...

  17. SciDAC advances in beam dynamics simulation: from light sources to colliders

    SciTech Connect (OSTI)

    Qiang, Ji; Qiang, J.; Borland, M.; Kabel, A.; Li, R.; Ryne, R.; Stern, E.; Wang, Y.; Wasserman, H.; Zhang, Y.

    2008-06-16

    In this paper, we report on progress that has been made in beam dynamics simulation, from light sources to colliders, during the first year of SciDAC-II accelerator project,"Community Petascale Project for Accelerator Science and Simulation (ComPASS)." Several parallel computational tools for beam dynamics simulation will be described. A number of applications in current and future accelerator facilities, e.g., LCLS, RHIC, Tevatron, LHC, ELIC, are presented.

  18. National Computational Infrastructure for Lattice Gauge Theory SciDAC-2 Closeout Report

    SciTech Connect (OSTI)

    Sun, Xian-He

    2013-08-01

    As part of this project work, researchers from Vanderbilt University, Fermi National Laboratory and Illinois Institute of technology developed a real-time cluster fault-tolerant cluster monitoring framework. This framework is open source and is available for download upon request. This work has also been used at Fermi Laboratory, Vanderbilt University and Mississippi State University across projects other than LQCD. The goal for the scientific workflow project is to investigate and develop domain-specific workflow tools for LQCD to help effectively orchestrate, in parallel, computational campaigns consisting of many loosely-coupled batch processing jobs. Major requirements for an LQCD workflow system include: a system to manage input metadata, e.g. physics parameters such as masses, a system to manage and permit the reuse of templates describing workflows, a system to capture data provenance information, a systems to manage produced data, a means of monitoring workflow progress and status, a means of resuming or extending a stopped workflow, fault tolerance features to enhance the reliability of running workflows. Requirements for an LQCD workflow system are available in documentation.

  19. National Computational Infrastructure for LatticeGauge Theory SciDAC-2 Closeout Report

    SciTech Connect (OSTI)

    Bapty, Theodore; Dubey, Abhishek

    2013-07-18

    As part of the reliability project work, researchers from Vanderbilt University, Fermi National Laboratory and Illinois Institute of technology developed a real-time cluster fault-tolerant cluster monitoring framework. The goal for the scientific workflow project is to investigate and develop domain-specific workflow tools for LQCD to help effectively orchestrate, in parallel, computational campaigns consisting of many loosely-coupled batch processing jobs. Major requirements for an LQCD workflow system include: a system to manage input metadata, e.g. physics parameters such as masses, a system to manage and permit the reuse of templates describing workflows, a system to capture data provenance information, a systems to manage produced data, a means of monitoring workflow progress and status, a means of resuming or extending a stopped workflow, fault tolerance features to enhance the reliability of running workflows. In summary, these achievements are reported: • Implemented a software system to manage parameters. This includes a parameter set language based on a superset of the JSON data-interchange format, parsers in multiple languages (C++, Python, Ruby), and a web-based interface tool. It also includes a templating system that can produce input text for LQCD applications like MILC. • Implemented a monitoring sensor framework in software that is in production on the Fermilab USQCD facility. This includes equipment health, process accounting, MPI/QMP process tracking, and batch system (Torque) job monitoring. All sensor data are available from databases, and various query tools can be used to extract common data patterns and perform ad hoc searches. Common batch system queries such as job status are available in command line tools and are used in actual workflow-based production by a subset of Fermilab users. • Developed a formal state machine model for scientific workflow and reliability systems. This includes the use of Vanderbilt’s Generic Modeling Envirnment (GME) tool for code generation for the production of user APIs, code stubs, testing harnesses, and model correctness verification. It is used for creating wrappers around LQCD applications so that they can be integrated into existing workflow systems such as Kepler. • Implemented a database system for tracking the state of nodes and jobs managed by the Torque batch systems used at Fermilab. This robust system and various canned queuries are used for many tasks, including monitoring the health of the clusters, managing allocated projects, producing accounting reports, and troubleshooting nodes and jobs.

  20. Advanced Scientific Computing Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, developing, and deploying computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the Department of Energy. Get Expertise Pieter Swart (505) 665 9437 Email Pat McCormick (505) 665-0201 Email Dave Higdon (505) 667-2091 Email Fulfilling the potential of emerging computing systems and architectures beyond today's tools and techniques to deliver

  1. Advanced Simulation and Computing

    National Nuclear Security Administration (NNSA)

    NA-ASC-117R-09-Vol.1-Rev.0 Advanced Simulation and Computing PROGRAM PLAN FY09 October 2008 ASC Focal Point Robert Meisner, Director DOE/NNSA NA-121.2 202-586-0908 Program Plan Focal Point for NA-121.2 Njema Frazier DOE/NNSA NA-121.2 202-586-5789 A Publication of the Office of Advanced Simulation & Computing, NNSA Defense Programs i Contents Executive Summary ----------------------------------------------------------------------------------------------- 1 I. Introduction

  2. SciDAC Center for Gyrokinetic Particle Simulation of Turbulent Transport in Burning Plasmas

    SciTech Connect (OSTI)

    Lin, Zhihong

    2013-12-18

    During the first year of the SciDAC gyrokinetic particle simulation (GPS) project, the GPS team (Zhihong Lin, Liu Chen, Yasutaro Nishimura, and Igor Holod) at the University of California, Irvine (UCI) studied the tokamak electron transport driven by electron temperature gradient (ETG) turbulence, and by trapped electron mode (TEM) turbulence and ion temperature gradient (ITG) turbulence with kinetic electron effects, extended our studies of ITG turbulence spreading to core-edge coupling. We have developed and optimized an elliptic solver using finite element method (FEM), which enables the implementation of advanced kinetic electron models (split-weight scheme and hybrid model) in the SciDAC GPS production code GTC. The GTC code has been ported and optimized on both scalar and vector parallel computer architectures, and is being transformed into objected-oriented style to facilitate collaborative code development. During this period, the UCI team members presented 11 invited talks at major national and international conferences, published 22 papers in peer-reviewed journals and 10 papers in conference proceedings. The UCI hosted the annual SciDAC Workshop on Plasma Turbulence sponsored by the GPS Center, 2005-2007. The workshop was attended by about fifties US and foreign researchers and financially sponsored several gradual students from MIT, Princeton University, Germany, Switzerland, and Finland. A new SciDAC postdoc, Igor Holod, has arrived at UCI to initiate global particle simulation of magnetohydrodynamics turbulence driven by energetic particle modes. The PI, Z. Lin, has been promoted to the Associate Professor with tenure at UCI.

  3. Computer Science Program | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Computer Science Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community

  4. Previous Computer Science Award Announcements | U.S. DOE Office of Science

    Office of Science (SC) Website

    (SC) Previous Computer Science Award Announcements Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing

  5. Stellar Evolution/Supernova Research Data Archives from the SciDAC

    Office of Scientific and Technical Information (OSTI)

    Computational Astrophysics Consortium () | Data Explorer Stellar Evolution/Supernova Research Data Archives from the SciDAC Computational Astrophysics Consortium Title: Stellar Evolution/Supernova Research Data Archives from the SciDAC Computational Astrophysics Consortium Theoretical high-energy astrophysics studies the most violent explosions in the universe - supernovae (the massive explosions of dying stars) and gamma ray bursts (mysterious blasts of intense radiation). The evolution of

  6. Stellar Evolution/Supernova Research Data Archives from the SciDAC

    Office of Scientific and Technical Information (OSTI)

    Computational Astrophysics Consortium () | Data Explorer Stellar Evolution/Supernova Research Data Archives from the SciDAC Computational Astrophysics Consortium Title: Stellar Evolution/Supernova Research Data Archives from the SciDAC Computational Astrophysics Consortium Theoretical high-energy astrophysics studies the most violent explosions in the universe - supernovae (the massive explosions of dying stars) and gamma ray bursts (mysterious blasts of intense radiation). The evolution of

  7. advanced simulation and computing

    National Nuclear Security Administration (NNSA)

    Each successive generation of computing system has provided greater computing power and energy efficiency.

    CTS-1 clusters will support NNSA's Life Extension Program and...

  8. Building a Universal Nuclear Energy Density Functional (UNEDF). SciDAC-2 Project

    SciTech Connect (OSTI)

    Vary, James P.; Carlson, Joe; Furnstahl, Dick; Horoi, Mihai; Lusk, Rusty; Nazarewicz, Witek; Ng, Esmond; Thompson, Ian

    2012-09-29

    An understanding of the properties of atomic nuclei is crucial for a complete nuclear theory, for element formation, for properties of stars, and for present and future energy and defense applications. During the period of Dec. 1 2006 – Jun. 30, 2012, the UNEDF collaboration carried out a comprehensive study of all nuclei, based on the most accurate knowledge of the strong nuclear interaction, the most reliable theoretical approaches, the most advanced algorithms, and extensive computational resources, with a view towards scaling to the petaflop platforms and beyond. Until recently such an undertaking was hard to imagine, and even at the present time such an ambitious endeavor would be far beyond what a single researcher or a traditional research group could carry out. The UNEDF SciDAC project has developed several key computational codes and algorithms for reaching the goal of solving the nuclear quantum many-body problem throughout the chart of nuclei. Without such developments, scientific progress would not be possible. In addition the UNEDF SciDAC successfully applied these developments to solve many forefront research problems.

  9. High Performance Computing Modeling Advances Accelerator Science for High-Energy Physics

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-07-28

    The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space, and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing are essential for accurately modeling them. In the past decade, the US Department of Energy's SciDAC program has produced accelerator-modeling tools that have been employed to tackle some of the most difficult accelerator science problems. The authors discuss the Synergia framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation package capable ofmore » handling the entire spectrum of beam dynamics simulations. Our authors present Synergia's design principles and its performance on HPC platforms.« less

  10. High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics

    SciTech Connect (OSTI)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

    The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing (HPC) are essential for accurately modeling them. In the past decade, the DOE SciDAC program has produced such accelerator-modeling tools, which have beem employed to tackle some of the most difficult accelerator science problems. In this article we discuss the Synergia beam-dynamics framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation package capable of handling the entire spectrum of beam dynamics simulations. We present the design principles, key physical and numerical models in Synergia and its performance on HPC platforms. Finally, we present the results of Synergia applications for the Fermilab proton source upgrade, known as the Proton Improvement Plan (PIP).

  11. High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

    The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing (HPC) are essential for accurately modeling them. In the past decade, the DOE SciDAC program has produced such accelerator-modeling tools, which have beem employed to tackle some of the most difficult accelerator science problems. In this article we discuss the Synergia beam-dynamics framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation packagemore »capable of handling the entire spectrum of beam dynamics simulations. We present the design principles, key physical and numerical models in Synergia and its performance on HPC platforms. Finally, we present the results of Synergia applications for the Fermilab proton source upgrade, known as the Proton Improvement Plan (PIP).« less

  12. Sandia National Laboratories: Advanced Simulation and Computing...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ASC Advanced Simulation and Computing Computational Systems & Software Environment Crack Modeling The Computational Systems & Software Environment program builds integrated,...

  13. Advanced Computing Tech Team | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Advanced Computing Tech Team Advanced Computing Tech Team Advanced Computing Tech Team The Advanced Computing Tech Team is working with the DOE Energy Technology Offices, the Office of Science, and the National Nuclear Security Administration to deliver technologies that will be used to create new scientific insights into complex physical systems. Advanced computing technologies have been used for decades to provide better understanding of the performance and reliability of the nuclear stockpile

  14. DOE Announces First Awards in Scientific Discovery through Advanced

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computing Program | Jefferson Lab DOE Announces First Awards in Scientific Discovery through Advanced Computing Program August 14, 2001 WASHINGTON, D.C. - The Department of Energy (DOE) today announced its first awards under the new Scientific Discovery through Advanced Computing (SciDAC) program. Fifty-one projects will receive a total of $57 million this fiscal year to advance fundamental research in several areas related to the department's missions, including: climate modeling, fusion

  15. Advanced Materials Development through Computational Design ...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Development through Computational Design Advanced Materials Development through Computational Design Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research ...

  16. Computational Science Research in Support of Petascale Electromagnetic Modeling

    SciTech Connect (OSTI)

    Lee, L.-Q.; Akcelik, V; Ge, L; Chen, S; Schussman, G; Candel, A; Li, Z; Xiao, L; Kabel, A; Uplenchwar, R; Ng, C; Ko, K; /SLAC

    2008-06-20

    Computational science research components were vital parts of the SciDAC-1 accelerator project and are continuing to play a critical role in newly-funded SciDAC-2 accelerator project, the Community Petascale Project for Accelerator Science and Simulation (ComPASS). Recent advances and achievements in the area of computational science research in support of petascale electromagnetic modeling for accelerator design analysis are presented, which include shape determination of superconducting RF cavities, mesh-based multilevel preconditioner in solving highly-indefinite linear systems, moving window using h- or p- refinement for time-domain short-range wakefield calculations, and improved scalable application I/O.

  17. Unsolicited Projects in 2012: Research in Computer Architecture, Modeling,

    Office of Science (SC) Website

    and Evolving MPI for Exascale | U.S. DOE Office of Science (SC) 2: Research in Computer Architecture, Modeling, and Evolving MPI for Exascale Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities

  18. Community Petascale Project for Accelerator Science and Simulation: Advancing Computational Science for Future Accelerators and Accelerator Technologies

    SciTech Connect (OSTI)

    Spentzouris, P.; /Fermilab; Cary, J.; /Tech-X, Boulder; McInnes, L.C.; /Argonne; Mori, W.; /UCLA; Ng, C.; /SLAC; Ng, E.; Ryne, R.; /LBL, Berkeley

    2011-11-14

    The design and performance optimization of particle accelerators are essential for the success of the DOE scientific program in the next decade. Particle accelerators are very complex systems whose accurate description involves a large number of degrees of freedom and requires the inclusion of many physics processes. Building on the success of the SciDAC-1 Accelerator Science and Technology project, the SciDAC-2 Community Petascale Project for Accelerator Science and Simulation (ComPASS) is developing a comprehensive set of interoperable components for beam dynamics, electromagnetics, electron cooling, and laser/plasma acceleration modelling. ComPASS is providing accelerator scientists the tools required to enable the necessary accelerator simulation paradigm shift from high-fidelity single physics process modeling (covered under SciDAC1) to high-fidelity multiphysics modeling. Our computational frameworks have been used to model the behavior of a large number of accelerators and accelerator R&D experiments, assisting both their design and performance optimization. As parallel computational applications, the ComPASS codes have been shown to make effective use of thousands of processors. ComPASS is in the first year of executing its plan to develop the next-generation HPC accelerator modeling tools. ComPASS aims to develop an integrated simulation environment that will utilize existing and new accelerator physics modules with petascale capabilities, by employing modern computing and solver technologies. The ComPASS vision is to deliver to accelerator scientists a virtual accelerator and virtual prototyping modeling environment, with the necessary multiphysics, multiscale capabilities. The plan for this development includes delivering accelerator modeling applications appropriate for each stage of the ComPASS software evolution. Such applications are already being used to address challenging problems in accelerator design and optimization. The ComPASS organization for software development and applications accounts for the natural domain areas (beam dynamics, electromagnetics, and advanced acceleration), and all areas depend on the enabling technologies activities, such as solvers and component technology, to deliver the desired performance and integrated simulation environment. The ComPASS applications focus on computationally challenging problems important for design or performance optimization to all major HEP, NP, and BES accelerator facilities. With the cost and complexity of particle accelerators rising, the use of computation to optimize their designs and find improved operating regimes becomes essential, potentially leading to significant cost savings with modest investment.

  19. About the Advanced Computing Tech Team | Department of Energy

    Energy Savers [EERE]

    Advanced Computing Tech Team About the Advanced Computing Tech Team The Advanced Computing Tech Team is made up of representatives from DOE and its national laboratories who are involved with developing and using advanced computing tools. The following is a list of some of those programs and what how they are currently using advanced computing in pursuit of their respective missions. Advanced Science Computing Research (ASCR) The mission of the Advanced Scientific Computing Research (ASCR)

  20. Advanced Simulation and Computing Program

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The SSP mission is to analyze and predict the performance, safety, and reliability of nuclear weapons and certify their functionality. ASC works in partnership with computer ...

  1. Bringing Advanced Computational Techniques to Energy Research

    SciTech Connect (OSTI)

    Mitchell, Julie C

    2012-11-17

    Please find attached our final technical report for the BACTER Institute award. BACTER was created as a graduate and postdoctoral training program for the advancement of computational biology applied to questions of relevance to bioenergy research.

  2. Advanced Scientific Computing Research (ASCR)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (ASCR) - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  3. Advances and Challenges in Computational Plasma Science

    SciTech Connect (OSTI)

    W.M. Tang; V.S. Chan

    2005-01-03

    Scientific simulation, which provides a natural bridge between theory and experiment, is an essential tool for understanding complex plasma behavior. Recent advances in simulations of magnetically-confined plasmas are reviewed in this paper with illustrative examples chosen from associated research areas such as microturbulence, magnetohydrodynamics, and other topics. Progress has been stimulated in particular by the exponential growth of computer speed along with significant improvements in computer technology.

  4. Large Scale Computing and Storage Requirements for Advanced Scientific...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research: Target 2014 ASCRFrontcover.png Large Scale Computing and Storage Requirements for ...

  5. Predictive Dynamic Security Assessment through Advanced Computing

    SciTech Connect (OSTI)

    Huang, Zhenyu; Diao, Ruisheng; Jin, Shuangshuang; Chen, Yousu

    2014-11-30

    Abstract— Traditional dynamic security assessment is limited by several factors and thus falls short in providing real-time information to be predictive for power system operation. These factors include the steady-state assumption of current operating points, static transfer limits, and low computational speed. This addresses these factors and frames predictive dynamic security assessment. The primary objective of predictive dynamic security assessment is to enhance the functionality and computational process of dynamic security assessment through the use of high-speed phasor measurements and the application of advanced computing technologies for faster-than-real-time simulation. This paper presents algorithms, computing platforms, and simulation frameworks that constitute the predictive dynamic security assessment capability. Examples of phasor application and fast computation for dynamic security assessment are included to demonstrate the feasibility and speed enhancement for real-time applications.

  6. Large Scale Computing and Storage Requirements for Advanced Scientific

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computing Research: Target 2014 Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research: Target 2014 ASCRFrontcover.png Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research An ASCR / NERSC Review January 5-6, 2011 Final Report Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research, Report of the Joint ASCR / NERSC Workshop conducted January 5-6, 2011 Goals This workshop is being

  7. BUSINESS PLAN ADVANCED SIMULATION AND COMPUTING

    National Nuclear Security Administration (NNSA)

    i BUSINESS PLAN ADVANCED SIMULATION AND COMPUTING 2015 NA-ASC-104R-15-Vol.1-Rev.0 ii Prepared by LLNL under Contract DE-AC52-07NA27344. This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any

  8. Computational Design of Advanced Nuclear Fuels

    SciTech Connect (OSTI)

    Savrasov, Sergey; Kotliar, Gabriel; Haule, Kristjan

    2014-06-03

    The objective of the project was to develop a method for theoretical understanding of nuclear fuel materials whose physical and thermophysical properties can be predicted from first principles using a novel dynamical mean field method for electronic structure calculations. We concentrated our study on uranium, plutonium, their oxides, nitrides, carbides, as well as some rare earth materials whose 4f eletrons provide a simplified framework for understanding complex behavior of the f electrons. We addressed the issues connected to the electronic structure, lattice instabilities, phonon and magnon dynamics as well as thermal conductivity. This allowed us to evaluate characteristics of advanced nuclear fuel systems using computer based simulations and avoid costly experiments.

  9. Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute Final Report

    SciTech Connect (OSTI)

    Hall, Mary

    2014-09-19

    Enhancing the performance of SciDAC applications on petascale systems has high priority within DOE SC. As we look to the future, achieving expected levels of performance on high-end com-puting (HEC) systems is growing ever more challenging due to enormous scale, increasing archi-tectural complexity, and increasing application complexity. To address these challenges, PERI has implemented a unified, tripartite research plan encompassing: (1) performance modeling and prediction; (2) automatic performance tuning; and (3) performance engineering of high profile applications. The PERI performance modeling and prediction activity is developing and refining performance models, significantly reducing the cost of collecting the data upon which the models are based, and increasing model fidelity, speed and generality. Our primary research activity is automatic tuning (autotuning) of scientific software. This activity is spurred by the strong user preference for automatic tools and is based on previous successful activities such as ATLAS, which has automatically tuned components of the LAPACK linear algebra library, and other re-cent work on autotuning domain-specific libraries. Our third major component is application en-gagement, to which we are devoting approximately 30% of our effort to work directly with Sci-DAC-2 applications. This last activity not only helps DOE scientists meet their near-term per-formance goals, but also helps keep PERI research focused on the real challenges facing DOE computational scientists as they enter the Petascale Era.

  10. Large Scale Production Computing and Storage Requirements for Advanced

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scientific Computing Research: Target 2017 Large Scale Production Computing and Storage Requirements for Advanced Scientific Computing Research: Target 2017 ASCRLogo.png This is an invitation-only review organized by the Department of Energy's Office of Advanced Scientific Computing Research (ASCR) and NERSC. The general goal is to determine production high-performance computing, storage, and services that will be needed for ASCR to achieve its science goals through 2017. A specific focus

  11. Energy Department Requests Proposals for Advanced Scientific Computing

    Energy Savers [EERE]

    Research | Department of Energy Requests Proposals for Advanced Scientific Computing Research Energy Department Requests Proposals for Advanced Scientific Computing Research December 27, 2005 - 4:55pm Addthis WASHINGTON, DC - The Department of Energy's Office of Science and the National Nuclear Security Administration (NNSA) have issued a joint Request for Proposals for advanced scientific computing research. DOE expects to fund $67 million annually for three years to five years under its

  12. New partnership uses advanced computer science modeling to address...

    National Nuclear Security Administration (NNSA)

    partnership uses advanced computer science modeling to address climate change | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing...

  13. Ames Lab 101: Improving Materials with Advanced Computing

    ScienceCinema (OSTI)

    Johnson, Duane

    2014-06-04

    Ames Laboratory's Chief Research Officer Duane Johnson talks about using advanced computing to develop new materials and predict what types of properties those materials will have.

  14. Sandia National Laboratories: Advanced Simulation Computing:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    These collaborations help solve the challenges of developing computing platforms and simulation tools across a number of disciplines. Computer Science Research Institute The...

  15. Computational Advances in Applied Energy | Department of Energy

    Office of Environmental Management (EM)

    Computational Advances in Applied Energy Computational Advances in Applied Energy PDF icon Friedmann-LLNL-SEAB.10.11.pdf More Documents & Publications Director's Perspective by George Miller Fact Sheet: Collaboration of Oak Ridge, Argonne, and Livermore (CORAL) QER - Comment of Canadian Hydropower Association

  16. SciDAC's Earth System Grid Center for Enabling Technologies Semiannual Progress Report October 1, 2010 through March 31, 2011

    SciTech Connect (OSTI)

    Williams, Dean N.

    2011-04-02

    This report summarizes work carried out by the Earth System Grid Center for Enabling Technologies (ESG-CET) from October 1, 2010 through March 31, 2011. It discusses ESG-CET highlights for the reporting period, overall progress, period goals, and collaborations, and lists papers and presentations. To learn more about our project and to find previous reports, please visit the ESG-CET Web sites: http://esg-pcmdi.llnl.gov/ and/or https://wiki.ucar.edu/display/esgcet/Home. This report will be forwarded to managers in the Department of Energy (DOE) Scientific Discovery through Advanced Computing (SciDAC) program and the Office of Biological and Environmental Research (OBER), as well as national and international collaborators and stakeholders (e.g., those involved in the Coupled Model Intercomparison Project, phase 5 (CMIP5) for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5); the Community Earth System Model (CESM); the Climate Science Computational End Station (CCES); SciDAC II: A Scalable and Extensible Earth System Model for Climate Change Science; the North American Regional Climate Change Assessment Program (NARCCAP); the Atmospheric Radiation Measurement (ARM) program; the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA)), and also to researchers working on a variety of other climate model and observation evaluation activities. The ESG-CET executive committee consists of Dean N. Williams, Lawrence Livermore National Laboratory (LLNL); Ian Foster, Argonne National Laboratory (ANL); and Don Middleton, National Center for Atmospheric Research (NCAR). The ESG-CET team is a group of researchers and scientists with diverse domain knowledge, whose home institutions include eight laboratories and two universities: ANL, Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), LLNL, NASA/Jet Propulsion Laboratory (JPL), NCAR, Oak Ridge National Laboratory (ORNL), Pacific Marine Environmental Laboratory (PMEL)/NOAA, Rensselaer Polytechnic Institute (RPI), and University of Southern California, Information Sciences Institute (USC/ISI). All ESG-CET work is accomplished under DOE open-source guidelines and in close collaboration with the project's stakeholders, domain researchers, and scientists. Through the ESG project, the ESG-CET team has developed and delivered a production environment for climate data from multiple climate model sources (e.g., CMIP (IPCC), CESM, ocean model data (e.g., Parallel Ocean Program), observation data (e.g., Atmospheric Infrared Sounder, Microwave Limb Sounder), and analysis and visualization tools) that serves a worldwide climate research community. Data holdings are distributed across multiple sites including LANL, LBNL, LLNL, NCAR, and ORNL as well as unfunded partners sites such as the Australian National University (ANU) National Computational Infrastructure (NCI), the British Atmospheric Data Center (BADC), the Geophysical Fluid Dynamics Laboratory/NOAA, the Max Planck Institute for Meteorology (MPI-M), the German Climate Computing Centre (DKRZ), and NASA/JPL. As we transition from development activities to production and operations, the ESG-CET team is tasked with making data available to all users who want to understand it, process it, extract value from it, visualize it, and/or communicate it to others. This ongoing effort is extremely large and complex, but it will be incredibly valuable for building 'science gateways' to critical climate resources (such as CESM, CMIP5, ARM, NARCCAP, Atmospheric Infrared Sounder (AIRS), etc.) for processing the next IPCC assessment report. Continued ESG progress will result in a production-scale system that will empower scientists to attempt new and exciting data exchanges, which could ultimately lead to breakthrough climate science discoveries.

  17. DOE Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee

    Office of Scientific and Technical Information (OSTI)

    Report on Scientific and Technical Information (Program Document) | SciTech Connect Computing Advisory Committee (ASCAC) Subcommittee Report on Scientific and Technical Information Citation Details In-Document Search Title: DOE Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee Report on Scientific and Technical Information The Advanced Scientific Computing Advisory Committee (ASCAC) was charged to form a standing subcommittee to review the Department of Energy's Office of

  18. DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC...

    Office of Scientific and Technical Information (OSTI)

    existing computer designs to reach exascale. The technical challenges revolve around energy consumption, memory performance, resilience, extreme concurrency, and big data....

  19. Collaboration to advance high-performance computing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    cyber security, data sharing and mobility, cloud computing, large-scale analytics, and materials science. This first Project Task Statement (PTS) under the Umbrella CRADA is...

  20. Present and Future Computing Requirements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cosmology SciDAC-3 Project Ann Almgren (LBNL) Nick Gnedin (FNAL) Dave Higdon (LANL) Rob Ross (ANL) Martin White (UC Berkeley LBNL) Large Scale Production Computing and Storage...

  1. Sandia National Laboratories: Advances toward quantum computing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    By Neal Singer Photography By Randy Montoya Thursday, March 03, 2016 Precise atom implants in silicon provide first step toward quantum computers Precise atom implants in silicon provide first step toward quantum computers Post-doc fellows Meenakshi Singh and Jose Pacheco stand in front of Sandia's ion beam generator. Project PI Meenakshi holds a sample qubit structure embedded in silicon. (Photo by Randy Montoya) Sandia researchers have supported post-doctoral fellow Meenakshi Singh (1132) in

  2. Final Report: SciDAC Computational Astrophysics Consortium (at...

    Office of Scientific and Technical Information (OSTI)

    supernovae are unrivaled astrophysical laboratories. We will develop new state-of-the-art multi-dimensional radiation hydrodynamic codes to address this and other related...

  3. Final Report: SciDAC Computational Astrophysics Consortium (at...

    Office of Scientific and Technical Information (OSTI)

    Hence, supernovae are unrivaled astrophysical laboratories. We will develop new state-of-the-art multi-dimensional radiation hydrodynamic codes to address this and other related ...

  4. Supercomputing and Advanced Computing at the National Labs | Department of

    Energy Savers [EERE]

    Energy Supercomputing and Advanced Computing at the National Labs Supercomputing and Advanced Computing at the National Labs RSS September 30, 2013 Lab Breakthrough: Supercomputing Power to Accelerate Fossil Energy Research Learn how a new supercomputer at the National Energy Technology Laboratory will accelerate research into the next generation of fossil fuel systems. September 26, 2013 Infographic by <a href="/node/379579">Sarah Gerrity</a>, Energy Department.

  5. SciDAC's Earth System Grid Center for Enabling Technologies Semi-Annual Progress Report for the Period October 1, 2009 through March 31, 2010

    SciTech Connect (OSTI)

    Williams, Dean N.; Foster, I. T.; Middleton, D. E.; Ananthakrishnan, R.; Siebenlist, F.; Shoshani, A.; Sim, A.; Bell, G.; Drach, R.; Ahrens, J.; Jones, P.; Brown, D.; Chastang, J.; Cinquini, L.; Fox, P.; Harper, D.; Hook, N.; Nienhouse, E.; Strand, G.; West, P.; Wilcox, H.; Wilhelmi, N.; Zednik, S.; Hankin, S.; Schweitzer, R.; Bernholdt, D.; Chen, M.; Miller, R.; Shipman, G.; Wang, F.; Bharathi, S.; Chervenak, A.; Schuler, R.; Su, M.

    2010-04-21

    This report summarizes work carried out by the ESG-CET during the period October 1, 2009 through March 31, 2009. It includes discussion of highlights, overall progress, period goals, collaborations, papers, and presentations. To learn more about our project, and to find previous reports, please visit the Earth System Grid Center for Enabling Technologies (ESG-CET) website. This report will be forwarded to the DOE SciDAC program management, the Office of Biological and Environmental Research (OBER) program management, national and international collaborators and stakeholders (e.g., the Community Climate System Model (CCSM), the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5), the Climate Science Computational End Station (CCES), the SciDAC II: A Scalable and Extensible Earth System Model for Climate Change Science, the North American Regional Climate Change Assessment Program (NARCCAP), and other wide-ranging climate model evaluation activities).

  6. advanced simulation and computing | National Nuclear Security

    National Nuclear Security Administration (NNSA)

    Administration simulation and computing | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs

  7. DOE SciDAC's Earth System Grid Center for Enabling Technologies Final

    Office of Scientific and Technical Information (OSTI)

    Report for University of Southern California Information Sciences Institute (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report for University of Southern California Information Sciences Institute Citation Details In-Document Search Title: DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report for University of Southern California Information Sciences Institute

  8. DOE SciDAC's Earth System Grid Center for Enabling Technologies Final

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Report (Technical Report) | SciTech Connect DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report Citation Details In-Document Search Title: DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report The mission of the Earth System Grid Federation (ESGF) is to provide the worldwide climate-research community with access to the data, information, model codes, analysis tools, and intercomparison capabilities required to make sense of enormous climate

  9. DOE SciDAC's Earth System Grid Center for Enabling Technologies Final

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Report for University of Southern California Information Sciences Institute (Technical Report) | SciTech Connect DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report for University of Southern California Information Sciences Institute Citation Details In-Document Search Title: DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report for University of Southern California Information Sciences Institute The mission of the Earth System Grid Federation

  10. Venkatram Vishwanath | Argonne Leadership Computing Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    leadership-class computers, including IO forwarding and power consumption on the Blue GenP and Blue GeneQ systems. Vishwanath won a Department of Energy SciDAC Scientific...

  11. Advanced Materials Development through Computational Design | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Development through Computational Design Advanced Materials Development through Computational Design Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT). PDF icon deer07_muralidharan.pdf More Documents & Publications Materials for HCCI Engines Vehicle Technologies Office Merit Review

  12. Advanced Scientific Computing Advisory Committee (ASCAC) Homepage | U.S.

    Office of Science (SC) Website

    DOE Office of Science (SC) ASCAC Home Advanced Scientific Computing Advisory Committee (ASCAC) ASCAC Home Meetings Members Charges/Reports ASCAC Charter 2015 - signed .pdf file (134KB) ASCR Committees of Visitors Federal Advisory Committees ASCR Home Exascale Advisory Committee Report .pdf file (2.1MB) The Opportunities and Challenges of Exascale Computing The Exascale initiative will be significant and transformative for Department of Energy missions. The ASCAC Subcommitte report is

  13. Performance Engineering Research Institute SciDAC-2 Enabling Technologies Institute: Final Report for the University of North Carolina

    SciTech Connect (OSTI)

    Fowler, Robert J

    2014-06-30

    This is the final technical report for the University of North Carolina activities under SciDAC-2 Performance Engineering Research Institute.

  14. New partnership uses advanced computer science modeling to address climate

    National Nuclear Security Administration (NNSA)

    change | National Nuclear Security Administration partnership uses advanced computer science modeling to address climate change | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios

  15. Final Technical Report - SciDAC Cooperative Agreement: Center for Wave Interactions with Magnetohydrodynamics

    SciTech Connect (OSTI)

    Schnack, Dalton D.

    2012-07-01

    Final technical report for research performed by Dr. Thomas G. Jenkins in collaboration with Professor Dalton D. Schnack on SciDAC Cooperative Agreement: Center for Wave Interactions with Magnetohydrodyanics, DE-FC02-06ER54899, for the period of 8/15/06 - 8/14/11. This report centers on the Slow MHD physics campaign work performed by Dr. Jenkins while at UW-Madison and then at Tech-X Corporation. To make progress on the problem of RF induced currents affect magnetic island evolution in toroidal plasmas, a set of research approaches are outlined. Three approaches can be addressed in parallel. These are: (1) Analytically prescribed additional term in Ohm's law to model the effect of localized ECCD current drive; (2) Introduce an additional evolution equation for the Ohm's law source term. Establish a RF source 'box' where information from the RF code couples to the fluid evolution; and (3) Carry out a more rigorous analytic calculation treating the additional RF terms in a closure problem. These approaches rely on the necessity of reinvigorating the computation modeling efforts of resistive and neoclassical tearing modes with present day versions of the numerical tools. For the RF community, the relevant action item is - RF ray tracing codes need to be modified so that general three-dimensional spatial information can be obtained. Further, interface efforts between the two codes require work as well as an assessment as to the numerical stability properties of the procedures to be used.

  16. SciDAC Visualization and Analytics Center for Enabling Technologies

    SciTech Connect (OSTI)

    Joy, Kenneth I.

    2014-09-14

    This project focuses on leveraging scientific visualization and analytics software technology as an enabling technology for increasing scientific productivity and insight. Advances in computational technology have resulted in an "information big bang," which in turn has created a significant data understanding challenge. This challenge is widely acknowledged to be one of the primary bottlenecks in contemporary science. The vision for our Center is to respond directly to that challenge by adapting, extending, creating when necessary and deploying visualization and data understanding technologies for our science stakeholders. Using an organizational model as a Visualization and Analytics Center for Enabling Technologies (VACET), we are well positioned to be responsive to the needs of a diverse set of scientific stakeholders in a coordinated fashion using a range of visualization, mathematics, statistics, computer and computational science and data management technologies.

  17. New classes of magnetoelectric materials promise advances in computing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    technology | Argonne National Laboratory classes of magnetoelectric materials promise advances in computing technology By Jared Sagoff * February 7, 2013 Tweet EmailPrint ARGONNE, Ill. - Although scientists have been aware that magnetism and electricity are two sides of the same proverbial coin for almost 150 years, researchers are still trying to find new ways to use a material's electric behavior to influence its magnetic behavior, or vice versa. Thanks to new research by an international

  18. 'Slow light' advance could speed optical computing, telecommunications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    "Slow light" and specialized metamaterials 'Slow light' advance could speed optical computing, telecommunications Researchers have made the first demonstration of rapidly switching on and off "slow light" in specially designed materials at room temperature. February 12, 2013 Schematic of active optical control of terahertz waves in electromagnetically induced transparency metamaterials. Schematic of active optical control of terahertz waves in electromagnetically induced

  19. High-Performance Computing for Advanced Smart Grid Applications

    SciTech Connect (OSTI)

    Huang, Zhenyu; Chen, Yousu

    2012-07-06

    The power grid is becoming far more complex as a result of the grid evolution meeting an information revolution. Due to the penetration of smart grid technologies, the grid is evolving as an unprecedented speed and the information infrastructure is fundamentally improved with a large number of smart meters and sensors that produce several orders of magnitude larger amounts of data. How to pull data in, perform analysis, and put information out in a real-time manner is a fundamental challenge in smart grid operation and planning. The future power grid requires high performance computing to be one of the foundational technologies in developing the algorithms and tools for the significantly increased complexity. New techniques and computational capabilities are required to meet the demands for higher reliability and better asset utilization, including advanced algorithms and computing hardware for large-scale modeling, simulation, and analysis. This chapter summarizes the computational challenges in smart grid and the need for high performance computing, and present examples of how high performance computing might be used for future smart grid operation and planning.

  20. Final Report for DOE Project: Portal Web Services: Support of DOE SciDAC Collaboratories

    SciTech Connect (OSTI)

    Mary Thomas, PI; Geoffrey Fox, Co-PI; D. Gannon; M. Pierce; R. Moore; D Schissel; J. Boisseau

    2007-10-01

    Grid portals provide the scientific community with familiar and simplified interfaces to the Grid and Grid services, and it is important to deploy grid portals onto the SciDAC grids and collaboratories. The goal of this project is the research, development and deployment of interoperable portal and web services that can be used on SciDAC National Collaboratory grids. This project has four primary task areas: development of portal systems; management of data collections; DOE science application integration; and development of web and grid services in support of the above activities.

  1. SciDAC Outreach Center Participates in "Materials for Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Applications" Workshop SciDAC Outreach Center Participates in "Materials for Energy Applications" Workshop SciDAC Outreach Center Participates in "Materials for Energy Applications" Workshop February 1, 2012 David Skinner From Jan. 30 to Feb. 1 Berkeley Lab hosted an invitation-only workshop on Materials for Energy Applications, which was jointly sponsored by all 17 DOE national laboratories. This three-day conference-the first of a planned series-was held to

  2. DOE Advanced Scientific Computing Advisory Committee (ASCAC) Report: Exascale Computing Initiative Review

    SciTech Connect (OSTI)

    Reed, Daniel; Berzins, Martin; Pennington, Robert; Sarkar, Vivek; Taylor, Valerie

    2015-08-01

    On November 19, 2014, the Advanced Scientific Computing Advisory Committee (ASCAC) was charged with reviewing the Department of Energy’s conceptual design for the Exascale Computing Initiative (ECI). In particular, this included assessing whether there are significant gaps in the ECI plan or areas that need to be given priority or extra management attention. Given the breadth and depth of previous reviews of the technical challenges inherent in exascale system design and deployment, the subcommittee focused its assessment on organizational and management issues, considering technical issues only as they informed organizational or management priorities and structures. This report presents the observations and recommendations of the subcommittee.

  3. Barbara Helland, Facilities Division Director Advanced Scientific Computing Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Barbara Helland, Facilities Division Director Advanced Scientific Computing Research June 10-12, 2015 HEP Requirements Review ASCR F acili+es D ivision * Providing t he F acility - H igh---End a nd L eadership C ompu5ng - Na5onal E nergy R esearch S cien5fic C ompu5ng C enter ( NERSC) at L awrence B erkeley Na+onal L aboratory * Delivers h igh---end c apacity c ompu+ng t o e n+re D OE S C r esearch c ommunity * Over 5 000 u sers a nd 4 00 p rojects - Leadership C ompu5ng C enters a t A rgonne N

  4. Final Report for "Tech-X Corporation work for the SciDAC Center for Simulation of RF Wave Interactions with Magnetohydrodynamics (SWIM)"

    SciTech Connect (OSTI)

    Jenkins, Thomas G.; Kruger, Scott E.

    2013-03-25

    Work carried out by Tech-X Corporation for the DoE SciDAC Center for Simulation of RF Wave Interactions with Magnetohydrodynamics (SWIM; U.S. DoE Office of Science Award Number DE-FC02-06ER54899) is summarized and is shown to fulfil the project objectives. The Tech-X portion of the SWIM work focused on the development of analytic and computational approaches to study neoclassical tearing modes and their interaction with injected electron cyclotron current drive. Using formalism developed by Hegna, Callen, and Ramos [Phys. Plasmas 16, 112501 (2009); Phys. Plasmas 17, 082502 (2010); Phys. Plasmas 18, 102506 (2011)], analytic approximations for the RF interaction were derived and the numerical methods needed to implement these interactions in the NIMROD extended MHD code were developed. Using the SWIM IPS framework, NIMROD has successfully coupled to GENRAY, an RF ray tracing code; additionally, a numerical control system to trigger the RF injection, adjustment, and shutdown in response to tearing mode activity has been developed. We discuss these accomplishments, as well as prospects for ongoing future research that this work has enabled (which continue in a limited fashion under the SciDAC Center for Extended Magnetohydrodynamic Modeling (CEMM) project and under a baseline theory grant). Associated conference presentations, published articles, and publications in progress are also listed.

  5. Advanced Scientific Computing Research (ASCR) Homepage | U.S. DOE Office of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science (SC) ASCR Home Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: Email Us More Information » Panel lays out top 10 list of

  6. Recovery Act: Advanced Direct Methanol Fuel Cell for Mobile Computing

    SciTech Connect (OSTI)

    Fletcher, James H.; Cox, Philip; Harrington, William J; Campbell, Joseph L

    2013-09-03

    ABSTRACT Project Title: Recovery Act: Advanced Direct Methanol Fuel Cell for Mobile Computing PROJECT OBJECTIVE The objective of the project was to advance portable fuel cell system technology towards the commercial targets of power density, energy density and lifetime. These targets were laid out in the DOE’s R&D roadmap to develop an advanced direct methanol fuel cell power supply that meets commercial entry requirements. Such a power supply will enable mobile computers to operate non-stop, unplugged from the wall power outlet, by using the high energy density of methanol fuel contained in a replaceable fuel cartridge. Specifically this project focused on balance-of-plant component integration and miniaturization, as well as extensive component, subassembly and integrated system durability and validation testing. This design has resulted in a pre-production power supply design and a prototype that meet the rigorous demands of consumer electronic applications. PROJECT TASKS The proposed work plan was designed to meet the project objectives, which corresponded directly with the objectives outlined in the Funding Opportunity Announcement: To engineer the fuel cell balance-of-plant and packaging to meet the needs of consumer electronic systems, specifically at power levels required for mobile computing. UNF used existing balance-of-plant component technologies developed under its current US Army CERDEC project, as well as a previous DOE project completed by PolyFuel, to further refine them to both miniaturize and integrate their functionality to increase the system power density and energy density. Benefits of UNF’s novel passive water recycling MEA (membrane electrode assembly) and the simplified system architecture it enabled formed the foundation of the design approach. The package design was hardened to address orientation independence, shock, vibration, and environmental requirements. Fuel cartridge and fuel subsystems were improved to ensure effective fuel containment. PROJECT OVERVIEW The University of North Florida (UNF), with project partner the University of Florida, recently completed the Department of Energy (DOE) project entitled “Advanced Direct Methanol Fuel Cell for Mobile Computing”. The primary objective of the project was to advance portable fuel cell system technology towards the commercial targets as laid out in the DOE R&D roadmap by developing a 20-watt, direct methanol fuel cell (DMFC), portable power supply based on the UNF innovative “passive water recovery” MEA. Extensive component, sub-system, and system development and testing was undertaken to meet the rigorous demands of the consumer electronic application. Numerous brassboard (nonpackaged) systems were developed to optimize the integration process and facilitating control algorithm development. The culmination of the development effort was a fully-integrated, DMFC, power supply (referred to as DP4). The project goals were 40 W/kg for specific power, 55 W/l for power density, and 575 Whr/l for energy density. It should be noted that the specific power and power density were for the power section only, and did not include the hybrid battery. The energy density is based on three, 200 ml, fuel cartridges, and also did not include the hybrid battery. The results show that the DP4 system configured without the methanol concentration sensor exceeded all performance goals, achieving 41.5 W/kg for specific power, 55.3 W/l for power density, and 623 Whr/l for energy density. During the project, the DOE revised its technical targets, and the definition of many of these targets, for the portable power application. With this revision, specific power, power density, specific energy (Whr/kg), and energy density are based on the total system, including fuel tank, fuel, and hybridization battery. Fuel capacity is not defined, but the same value is required for all calculations. Test data showed that the DP4 exceeded all 2011 Technical Status values; for example, the DP4 energy density was 373 Whr/l versus the DOE 2011 status of 200 Whr/l. For the DOE 2013 Technical Goals, the operation time was increased from 10 hours to 14.3 hours. Under these conditions, the DP4 closely approached or surpassed the technical targets; for example, the DP4 achieved 468 Whr/l versus the goal of 500 Whr/l. Thus, UNF has successfully met the project goals. A fully-operational, 20-watt DMFC power supply was developed based on the UNF passive water recovery MEA. The power supply meets the project performance goals and advances portable power technology towards the commercialization targets set by the DOE.

  7. SciDAC Partnerships FOA | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    SciDAC Partnerships FOA Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Closed Funding Opportunity Announcements (FOAs) Closed Lab Announcements Award Search / Public Abstracts Additional Requirements and Guidance for Digital Data Management Peer Review Policies EFRCs FOA Applications from Universities and Other Research Institutions Construction Review EPSCoR DOE Office of Science Graduate Fellowship (DOE SCGF) External

  8. From detonation to diapers: Los Alamos computer codes at core of advanced

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    manufacturing tools From detonation to diapers Los Alamos computer codes at core of advanced manufacturing tools The computer codes used for predictive fluid modeling are part of the Los Alamos Computational Fluid Dynamics Library. July 27, 2011 This simulation of a droplet of liquid falling into a pool of liquid was modeled using Los Alamos National Laboratory's Computational Fluid Dynamics Library This simulation of a droplet of liquid falling into a pool of liquid was modeled using Los

  9. SciDAC Center for Plasma Edge Simulation

    SciTech Connect (OSTI)

    Lin, Zhihong

    2013-12-17

    This project with a total funding of $592,998 for six years has partially supported four postdoctoral researchers at the University of California, Irvine (UCI). The UCI team has formulated electrostatic and electromagnetic global gyrokinetic particle simulation models with kinetic electrons, implemented these models in the edge code XGC1, performed benchmark between GTC and XGC1, developed computational tools for gyrokinetic particle simulation in tokamak edge geometry, and initiated preparatory study of edge turbulence using GTC code. The research results has been published in 12 papers and presented at many international and national conferences.

  10. A Computationally Based Approach to Homogenizing Advanced Alloys

    SciTech Connect (OSTI)

    Jablonski, P D; Cowen, C J

    2011-02-27

    We have developed a computationally based approach to optimizing the homogenization heat treatment of complex alloys. The Scheil module within the Thermo-Calc software is used to predict the as-cast segregation present within alloys, and DICTRA (Diffusion Controlled TRAnsformations) is used to model the homogenization kinetics as a function of time, temperature and microstructural scale. We will discuss this approach as it is applied to both Ni based superalloys as well as the more complex (computationally) case of alloys that solidify with more than one matrix phase as a result of segregation. Such is the case typically observed in martensitic steels. With these alloys it is doubly important to homogenize them correctly, especially at the laboratory scale, since they are austenitic at high temperature and thus constituent elements will diffuse slowly. The computationally designed heat treatment and the subsequent verification real castings are presented.

  11. Advanced Simulation and Computing Co-Design Strategy

    SciTech Connect (OSTI)

    Ang, James A.; Hoang, Thuc T.; Kelly, Suzanne M.; McPherson, Allen; Neely, Rob

    2015-11-01

    This ASC Co-design Strategy lays out the full continuum and components of the co-design process, based on what we have experienced thus far and what we wish to do more in the future to meet the program’s mission of providing high performance computing (HPC) and simulation capabilities for NNSA to carry out its stockpile stewardship responsibility.

  12. Exascale Challenges | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Scientific Discovery through Advanced Computing (SciDAC) » Exascale Challenges Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Co-Design SciDAC Institutes ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific

  13. ComPASS! SciDAC-3! Scalable'Arbitrary-Order'Pseudo-Spectral'Electromagne9c'Solver''

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ComPASS! SciDAC-3! Scalable'Arbitrary-Order'Pseudo-Spectral'Electromagne9c'Solver'' J.-L.'Vay 1 ,'T.'Drummond 1 ,'A.'Koniges 1 ,'B.'B.'Godfrey 1,2 ,'I.'Haber 2 ' 1 Lawrence'Berkeley'Na9onal'Laboratory,' 2 University'of'Maryland'' fds

  14. Advanced Computational Methods for Security Constrained Financial Transmission Rights

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Elbert, Stephen T.; Vlachopoulou, Maria; Zhou, Ning; Huang, Zhenyu

    2012-07-26

    Financial Transmission Rights (FTRs) are financial insurance tools to help power market participants reduce price risks associated with transmission congestion. FTRs are issued based on a process of solving a constrained optimization problem with the objective to maximize the FTR social welfare under power flow security constraints. Security constraints for different FTR categories (monthly, seasonal or annual) are usually coupled and the number of constraints increases exponentially with the number of categories. Commercial software for FTR calculation can only provide limited categories of FTRs due to the inherent computational challenges mentioned above. In this paper, first an innovative mathematical reformulation of the FTR problem is presented which dramatically improves the computational efficiency of optimization problem. After having re-formulated the problem, a novel non-linear dynamic system (NDS) approach is proposed to solve the optimization problem. The new formulation and performance of the NDS solver is benchmarked against widely used linear programming (LP) solvers like CPLEXℱ and tested on both standard IEEE test systems and large-scale systems using data from the Western Electricity Coordinating Council (WECC). The performance of the NDS is demonstrated to be comparable and in some cases is shown to outperform the widely used CPLEX algorithms. The proposed formulation and NDS based solver is also easily parallelizable enabling further computational improvement.

  15. National facility for advanced computational science: A sustainable path to scientific discovery

    SciTech Connect (OSTI)

    Simon, Horst; Kramer, William; Saphir, William; Shalf, John; Bailey, David; Oliker, Leonid; Banda, Michael; McCurdy, C. William; Hules, John; Canning, Andrew; Day, Marc; Colella, Philip; Serafini, David; Wehner, Michael; Nugent, Peter

    2004-04-02

    Lawrence Berkeley National Laboratory (Berkeley Lab) proposes to create a National Facility for Advanced Computational Science (NFACS) and to establish a new partnership between the American computer industry and a national consortium of laboratories, universities, and computing facilities. NFACS will provide leadership-class scientific computing capability to scientists and engineers nationwide, independent of their institutional affiliation or source of funding. This partnership will bring into existence a new class of computational capability in the United States that is optimal for science and will create a sustainable path towards petaflops performance.

  16. Vision 20/20: Automation and advanced computing in clinical radiation oncology

    SciTech Connect (OSTI)

    Moore, Kevin L. Moiseenko, Vitali; Kagadis, George C.; McNutt, Todd R.; Mutic, Sasa

    2014-01-15

    This Vision 20/20 paper considers what computational advances are likely to be implemented in clinical radiation oncology in the coming years and how the adoption of these changes might alter the practice of radiotherapy. Four main areas of likely advancement are explored: cloud computing, aggregate data analyses, parallel computation, and automation. As these developments promise both new opportunities and new risks to clinicians and patients alike, the potential benefits are weighed against the hazards associated with each advance, with special considerations regarding patient safety under new computational platforms and methodologies. While the concerns of patient safety are legitimate, the authors contend that progress toward next-generation clinical informatics systems will bring about extremely valuable developments in quality improvement initiatives, clinical efficiency, outcomes analyses, data sharing, and adaptive radiotherapy.

  17. Advances in x-ray computed microtomography at the NSLS

    SciTech Connect (OSTI)

    Dowd, B.A.; Andrews, A.B.; Marr, R.B.; Siddons, D.P.; Jones, K.W.; Peskin, A.M.

    1998-08-01

    The X-Ray Computed Microtomography workstation at beamline X27A at the NSLS has been utilized by scientists from a broad range of disciplines from industrial materials processing to environmental science. The most recent applications are presented here as well as a description of the facility that has evolved to accommodate a wide variety of materials and sample sizes. One of the most exciting new developments reported here resulted from a pursuit of faster reconstruction techniques. A Fast Filtered Back Transform (FFBT) reconstruction program has been developed and implemented, that is based on a refinement of the gridding algorithm first developed for use with radio astronomical data. This program has reduced the reconstruction time to 8.5 sec for a 929 x 929 pixel{sup 2} slice on an R10,000 CPU, more than 8x reduction compared with the Filtered Back-Projection method.

  18. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT, J.

    2006-11-01

    Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to bring together researchers in these areas and to provide a focal point for the development of computational expertise at the Laboratory. These efforts will connect to and support the Department of Energy's long range plans to provide Leadership class computing to researchers throughout the Nation. Recruitment for six new positions at Stony Brook to strengthen its computational science programs is underway. We expect some of these to be held jointly with BNL.

  19. ADVANCED METHODS FOR THE COMPUTATION OF PARTICLE BEAM TRANSPORT AND THE COMPUTATION OF ELECTROMAGNETIC FIELDS AND MULTIPARTICLE PHENOMENA

    SciTech Connect (OSTI)

    Alex J. Dragt

    2012-08-31

    Since 1980, under the grant DEFG02-96ER40949, the Department of Energy has supported the educational and research work of the University of Maryland Dynamical Systems and Accelerator Theory (DSAT) Group. The primary focus of this educational/research group has been on the computation and analysis of charged-particle beam transport using Lie algebraic methods, and on advanced methods for the computation of electromagnetic fields and multiparticle phenomena. This Final Report summarizes the accomplishments of the DSAT Group from its inception in 1980 through its end in 2011.

  20. Advances in Computational Methods for X-Ray Optics III (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Advances in Computational Methods for X-Ray Optics III Citation Details In-Document Search Title: Advances in Computational Methods for X-Ray Optics III Authors: Sanchez del Rio M. ; Chubar O. Publication Date: 2014-08-24 OSTI Identifier: 1165955 Report Number(s): BNL--107140-2014-CP R&D Project: LS001 DOE Contract Number: DE-AC02-98CH10886 Resource Type: Conference Resource Relation: Conference: SPIE; San Diego, CA; 20140824 through 20140829 Research Org:

  1. The Nuclear Energy Advanced Modeling and Simulation Enabling Computational Technologies FY09 Report

    SciTech Connect (OSTI)

    Diachin, L F; Garaizar, F X; Henson, V E; Pope, G

    2009-10-12

    In this document we report on the status of the Nuclear Energy Advanced Modeling and Simulation (NEAMS) Enabling Computational Technologies (ECT) effort. In particular, we provide the context for ECT In the broader NEAMS program and describe the three pillars of the ECT effort, namely, (1) tools and libraries, (2) software quality assurance, and (3) computational facility (computers, storage, etc) needs. We report on our FY09 deliverables to determine the needs of the integrated performance and safety codes (IPSCs) in these three areas and lay out the general plan for software quality assurance to meet the requirements of DOE and the DOE Advanced Fuel Cycle Initiative (AFCI). We conclude with a brief description of our interactions with the Idaho National Laboratory computer center to determine what is needed to expand their role as a NEAMS user facility.

  2. Barbara Helland Advanced Scientific Computing Research NERSC-HEP Requirements Review

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7-28, 2012 Barbara Helland Advanced Scientific Computing Research NERSC-HEP Requirements Review 1 Science C ase S tudies d rive d iscussions Program R equirements R eviews  Program offices evaluated every two-three years  Participants include program managers, PI/ Scientists, ESnet/NERSC staff and management  User-driven discussion of science opportunities and needs  What: Instruments and facilities, data scale, computational requirements  How: science process, data analysis,

  3. Final Technical Report - Center for Technology for Advanced Scientific

    Office of Scientific and Technical Information (OSTI)

    Component Software (TASCS) (Technical Report) | SciTech Connect Technical Report: Final Technical Report - Center for Technology for Advanced Scientific Component Software (TASCS) Citation Details In-Document Search Title: Final Technical Report - Center for Technology for Advanced Scientific Component Software (TASCS) This is a final technical report for the University of Maryland work in the SciDAC Center for Technology for Advanced Scientific Component Software (TASCS). The Maryland work

  4. DOE Issues Funding Opportunity for Advanced Computational and Modeling Research for the Electric Power System

    Broader source: Energy.gov [DOE]

    The objective of this Funding Opportunity Announcement (FOA) is to leverage scientific advancements in mathematics and computation for application to power system models and software tools, with the long-term goal of enabling real-time protection and control based on wide-area sensor measurements.

  5. SciDAC's Earth System Grid Center for Enabling Technologies Semi-Annual Progress Report for the Period April 1, 2009 through September 30, 2009

    SciTech Connect (OSTI)

    Williams, Dean N.; Foster, I. T.; Middleton, D. E.

    2009-10-15

    This report summarizes work carried out by the ESG-CET during the period April 1, 2009 through September 30, 2009. It includes discussion of highlights, overall progress, period goals, collaborations, papers, and presentations. To learn more about our project, and to find previous reports, please visit the Earth System Grid Center for Enabling Technologies (ESG-CET) website. This report will be forwarded to the DOE SciDAC program management, the Office of Biological and Environmental Research (OBER) program management, national and international collaborators and stakeholders (e.g., the Community Climate System Model (CCSM), the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5), the Climate Science Computational End Station (CCES), the SciDAC II: A Scalable and Extensible Earth System Model for Climate Change Science, the North American Regional Climate Change Assessment Program (NARCCAP), and other wide-ranging climate model evaluation activities). During this semi-annual reporting period, the ESG-CET team continued its efforts to complete software components needed for the ESG Gateway and Data Node. These components include: Data Versioning, Data Replication, DataMover-Lite (DML) and Bulk Data Mover (BDM), Metrics, Product Services, and Security, all joining together to form ESG-CET's first beta release. The launch of the beta release is scheduled for late October with the installation of ESG Gateways at NCAR and LLNL/PCMDI. Using the developed ESG Data Publisher, the ESG II CMIP3 (IPCC AR4) data holdings - approximately 35 TB - will be among the first datasets to be published into the new ESG enterprise system. In addition, the NCAR's ESG II data holdings will also be published into the new system - approximately 200 TB. This period also saw the testing of the ESG Data Node at various collaboration sites, including: the British Atmospheric Data Center (BADC), the Max-Planck-Institute for Meteorology, the University of Tokyo Center for Climate System Research, and the Australian National University. This period, a total of 14 national and international sites installed an ESG Data Node for testing. During this period, we also continued to provide production-level services to the community, providing researchers worldwide with access to CMIP3 (IPCC AR4), CCES, and CCSM, Parallel Climate Model (PCM), Parallel Ocean Program (POP), and Cloud Feedback Model Intercomparison Project (CFMIP), and NARCCAP data.

  6. PMEL contributions to the collaboration: SCALING THE EARTH SYSTEM GRID TO PETASCALE DATA for the DOE SciDACs Earth System Grid Center for Enabling Technologies

    SciTech Connect (OSTI)

    Hankin, Steve

    2012-06-01

    Drawing to a close after five years of funding from DOE's ASCR and BER program offices, the SciDAC-2 project called the Earth System Grid (ESG) Center for Enabling Technologies has successfully established a new capability for serving data from distributed centers. The system enables users to access, analyze, and visualize data using a globally federated collection of networks, computers and software. The ESG softwareâ??now known as the Earth System Grid Federation (ESGF)â??has attracted a broad developer base and has been widely adopted so that it is now being utilized in serving the most comprehensive multi-model climate data sets in the world. The system is used to support international climate model intercomparison activities as well as high profile U.S. DOE, NOAA, NASA, and NSF projects. It currently provides more than 25,000 users access to more than half a petabyte of climate data (from models and from observations) and has enabled over a 1,000 scientific publications.

  7. Condition monitoring through advanced sensor and computational technology : final report (January 2002 to May 2005).

    SciTech Connect (OSTI)

    Kim, Jung-Taek; Luk, Vincent K.

    2005-05-01

    The overall goal of this joint research project was to develop and demonstrate advanced sensors and computational technology for continuous monitoring of the condition of components, structures, and systems in advanced and next-generation nuclear power plants (NPPs). This project included investigating and adapting several advanced sensor technologies from Korean and US national laboratory research communities, some of which were developed and applied in non-nuclear industries. The project team investigated and developed sophisticated signal processing, noise reduction, and pattern recognition techniques and algorithms. The researchers installed sensors and conducted condition monitoring tests on two test loops, a check valve (an active component) and a piping elbow (a passive component), to demonstrate the feasibility of using advanced sensors and computational technology to achieve the project goal. Acoustic emission (AE) devices, optical fiber sensors, accelerometers, and ultrasonic transducers (UTs) were used to detect mechanical vibratory response of check valve and piping elbow in normal and degraded configurations. Chemical sensors were also installed to monitor the water chemistry in the piping elbow test loop. Analysis results of processed sensor data indicate that it is feasible to differentiate between the normal and degraded (with selected degradation mechanisms) configurations of these two components from the acquired sensor signals, but it is questionable that these methods can reliably identify the level and type of degradation. Additional research and development efforts are needed to refine the differentiation techniques and to reduce the level of uncertainties.

  8. ADVANCING THE FUNDAMENTAL UNDERSTANDING AND SCALE-UP OF TRISO FUEL COATERS VIA ADVANCED MEASUREMENT AND COMPUTATIONAL TECHNIQUES

    SciTech Connect (OSTI)

    Biswas, Pratim; Al-Dahhan, Muthanna

    2012-11-01

    Tri-isotropic (TRISO) fuel particle coating is critical for the future use of nuclear energy produced byadvanced gas reactors (AGRs). The fuel kernels are coated using chemical vapor deposition in a spouted fluidized bed. The challenges encountered in operating TRISO fuel coaters are due to the fact that in modern AGRs, such as High Temperature Gas Reactors (HTGRs), the acceptable level of defective/failed coated particles is essentially zero. This specification requires processes that produce coated spherical particles with even coatings having extremely low defect fractions. Unfortunately, the scale-up and design of the current processes and coaters have been based on empirical approaches and are operated as?black boxes. Hence, a voluminous amount of experimental development and trial and error work has been conducted. It has been clearly demonstrated that the quality of the coating applied to the fuel kernels is impacted by the hydrodynamics, solids flow field, and flow regime characteristics of the spouted bed coaters, which themselves are influenced by design parameters and operating variables. Further complicating the outlook for future fuel-coating technology and nuclear energy production is the fact that a variety of new concepts will involve fuel kernels of different sizes and with compositions of different densities. Therefore, without a fundamental understanding the underlying phenomena of the spouted bed TRISO coater, a significant amount of effort is required for production of each type of particle with a significant risk of not meeting the specifications. This difficulty will significantly and negatively impact the applications of AGRs for power generation and cause further challenges to them as an alternative source of commercial energy production. Accordingly, the proposed work seeks to overcome such hurdles and advance the scale-up, design, and performance of TRISO fuel particle spouted bed coaters. The overall objectives of the proposed work are to advance the fundamental understanding of the hydrodynamics by systematically investigating the effect of design and operating variables, to evaluate the reported dimensionless groups as scaling factors, and to establish a reliable scale-up methodology for the TRISO fuel particle spouted bed coaters based on hydrodynamic similarity via advanced measurement and computational techniques. An additional objective is to develop an on-line non-invasive measurement technique based on gamma ray densitometry (i.e. Nuclear Gauge Densitometry) that can be installed and used for coater process monitoring to ensure proper performance and operation and to facilitate the developed scale-up methodology. To achieve the objectives set for the project, the work will use optical probes and gamma ray computed tomography (CT) (for the measurements of solids/voidage holdup cross-sectional distribution and radial profiles along the bed height, spouted diameter, and fountain height) and radioactive particle tracking (RPT) (for the measurements of the 3D solids flow field, velocity, turbulent parameters, circulation time, solids lagrangian trajectories, and many other of spouted bed related hydrodynamic parameters). In addition, gas dynamic measurement techniques and pressure transducers will be utilized to complement the obtained information. The measurements obtained by these techniques will be used as benchmark data to evaluate and validate the computational fluid dynamic (CFD) models (two fluid model or discrete particle model) and their closures. The validated CFD models and closures will be used to facilitate the developed methodology for scale-up, design and hydrodynamic similarity. Successful execution of this work and the proposed tasks will advance the fundamental understanding of the coater flow field and quantify it for proper and safe design, scale-up, and performance. Such achievements will overcome the barriers to AGR applications and will help assure that the US maintains nuclear energy as a feasible option to meet the nationĂ?Â?Ă?Â?Ă

  9. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report Hoffman, Forest M. ; Bochev, Pavel B. ; Cameron-Smith, Philip J.. ; Easter, Richard C ; ...

  10. Advanced Simulation and Computing FY09-FY10 Implementation Plan Volume 2, Rev. 1

    SciTech Connect (OSTI)

    Kissel, L

    2009-04-01

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: (1) Robust Tools - Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements; (2) Prediction through Simulation - Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile; and (3) Balanced Operational Infrastructure - Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  11. Advanced Simulation and Computing FY09-FY10 Implementation Plan, Volume 2, Revision 0.5

    SciTech Connect (OSTI)

    Meisner, R; Hopson, J; Peery, J; McCoy, M

    2008-10-07

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC)1 is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1. Robust Tools--Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2. Prediction through Simulation--Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3. Balanced Operational Infrastructure--Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  12. Advanced Simulation and Computing FY10-FY11 Implementation Plan Volume 2, Rev. 0.5

    SciTech Connect (OSTI)

    Meisner, R; Peery, J; McCoy, M; Hopson, J

    2009-09-08

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering (D&E) programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional (3D) simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: (1) Robust Tools - Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements; (2) Prediction through Simulation - Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile; and (3) Balanced Operational Infrastructure - Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  13. Advanced Simulation and Computing Fiscal Year 2011-2012 Implementation Plan, Revision 0

    SciTech Connect (OSTI)

    McCoy, M; Phillips, J; Hpson, J; Meisner, R

    2010-04-22

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering (D&E) programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional (3D) simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1 - Robust Tools. Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2 - Prediction through Simulation. Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3 - Balanced Operational Infrastructure. Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  14. Advanced Simulation and Computing FY08-09 Implementation Plan, Volume 2, Revision 0.5

    SciTech Connect (OSTI)

    Kusnezov, D; Bickel, T; McCoy, M; Hopson, J

    2007-09-13

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC)1 is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear-weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable Stockpile Life Extension Programs (SLEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining the support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1. Robust Tools--Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2--Prediction through Simulation. Deliver validated physics and engineering tools to enable simulations of nuclear-weapons performances in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3. Balanced Operational Infrastructure--Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  15. Advanced Simulation & Computing FY09-FY10 Implementation Plan Volume 2, Rev. 0

    SciTech Connect (OSTI)

    Meisner, R; Perry, J; McCoy, M; Hopson, J

    2008-04-30

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the safety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future nonnuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC)1 is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear-weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable Stockpile Life Extension Programs (SLEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining the support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1. Robust Tools--Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2--Prediction through Simulation. Deliver validated physics and engineering tools to enable simulations of nuclear-weapons performances in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3--Balanced Operational Infrastructure. Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  16. Advanced Simulation and Computing FY10-11 Implementation Plan Volume 2, Rev. 0

    SciTech Connect (OSTI)

    Carnes, B

    2009-06-08

    The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1 Robust Tools--Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2 Prediction through Simulation--Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3 Balanced Operational Infrastructure--Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

  17. Advanced Simulation and Computing Fiscal Year 2016 Implementation Plan, Version 0

    SciTech Connect (OSTI)

    McCoy, M.; Archer, B.; Hendrickson, B.

    2015-08-27

    The Stockpile Stewardship Program (SSP) is an integrated technical program for maintaining the safety, surety, and reliability of the U.S. nuclear stockpile. The SSP uses nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of experimental facilities and programs, and the computational capabilities to support these programs. The purpose of this IP is to outline key work requirements to be performed and to control individual work activities within the scope of work. Contractors may not deviate from this plan without a revised WA or subsequent IP.

  18. Sustaining and Extending the Open Science Grid: Science Innovation on a PetaScale Nationwide Facility (DE-FC02-06ER41436) SciDAC-2 Closeout Report

    SciTech Connect (OSTI)

    Livny, Miron

    2015-02-11

    Under this SciDAC-2 grant the project’s goal w a s t o stimulate new discoveries by providing scientists with effective and dependable access to an unprecedented national distributed computational facility: the Open Science Grid (OSG). We proposed to achieve this through the work of the Open Science Grid Consortium: a unique hands-on multi-disciplinary collaboration of scientists, software developers and providers of computing resources. Together the stakeholders in this consortium sustain and use a shared distributed computing environment that transforms simulation and experimental science in the US. The OSG consortium is an open collaboration that actively engages new research communities. We operate an open facility that brings together a broad spectrum of compute, storage, and networking resources and interfaces to other cyberinfrastructures, including the US XSEDE (previously TeraGrid), the European Grids for ESciencE (EGEE), as well as campus and regional grids. We leverage middleware provided by computer science groups, facility IT support organizations, and computing programs of application communities for the benefit of consortium members and the US national CI.

  19. Computing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Office of Advanced Scientific Computing Research in the Department of Energy Office of Science under contract number DE-AC02-05CH11231. ! Application and System Memory Use, Configuration, and Problems on Bassi Richard Gerber Lawrence Berkeley National Laboratory NERSC User Services ScicomP 13 Garching bei MĂŒnchen, Germany, July 17, 2007 ScicomP 13, July 17, 2007, Garching Overview * About Bassi * Memory on Bassi * Large Page Memory (It's Great!) * System Configuration * Large Page

  20. Computations

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computations - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  1. Advanced computational tools for optimization and uncertainty quantification of carbon capture processes

    SciTech Connect (OSTI)

    Miller, David C.; Ng, Brenda; Eslick, John

    2014-01-01

    Advanced multi-scale modeling and simulation has the potential to dramatically reduce development time, resulting in considerable cost savings. The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and universities that is developing, demonstrating, and deploying a suite of multi-scale modeling and simulation tools. One significant computational tool is FOQUS, a Framework for Optimization and Quantification of Uncertainty and Sensitivity, which enables basic data submodels, including thermodynamics and kinetics, to be used within detailed process models to rapidly synthesize and optimize a process and determine the level of uncertainty associated with the resulting process. The overall approach of CCSI is described with a more detailed discussion of FOQUS and its application to carbon capture systems.

  2. Building a Universal Nuclear Energy Density Functional (UNEDF): SciDAC-2 Project

    SciTech Connect (OSTI)

    Carlson, Joe; Furnstahl, Dick; Lusk, Rusty; Nazarewicz, Witek; Ng, Esmond; Thompson, Ian; Vary, James

    2012-06-30

    An understanding of the properties of atomic nuclei is crucial for a complete nuclear theory, for element formation, for properties of stars, and for present and future energy and defense applications. During the period of Dec. 1, 2006 - Jun. 30, 2012, the UNEDF collaboration carried out a comprehensive study of all nuclei based on the most accurate knowledge of the strong nuclear interaction, the most reliable theoretical approaches, the most advanced algorithms, and extensive computational resources, with a view towards scaling to the petaflop platforms and beyond. The long-term vision initiated with UNEDF is to arrive at a comprehensive, quantitative, and unified description of nuclei and their reactions, grounded in the fundamental interactions between the constituent nucleons. We seek to replace current phenomenological models of nuclear structure and reactions with a well-founded microscopic theory that delivers maximum predictive power with well-quantified uncertainties. Specifically, the mission of this project has been three-fold: first, to find an optimal energy density functional (EDF) using all our knowledge of the nucleonic Hamiltonian and basic nuclear properties; second, to apply the EDF theory and its extensions to validate the functional using all the available relevant nuclear structure and reaction data; and third, to apply the validated theory to properties of interest that cannot be measured, in particular the properties needed for reaction theory.

  3. Final report for SciDAC grant “Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution.”

    SciTech Connect (OSTI)

    Larson, Vincent

    2015-02-21

    This is a final report for a SciDAC grant supported by BER, "Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution." The project implemented a novel technique for coupling small-scale dynamics and microphysics into a community climate model. The technique uses subcolumns that are sampled in Monte Carlo fashion from a distribution of subgrid variability. The resulting global simulations show several improvements over the status quo.

  4. DOE SciDAC's Earth System Grid Center for Enabling Technologies Final Report

    SciTech Connect (OSTI)

    Williams, Dean N.

    2011-09-27

    The mission of the Earth System Grid Federation (ESGF) is to provide the worldwide climate-research community with access to the data, information, model codes, analysis tools, and intercomparison capabilities required to make sense of enormous climate data sets. Its specific goals are to (1) provide an easy-to-use and secure web-based data access environment for data sets; (2) add value to individual data sets by presenting them in the context of other data sets and tools for comparative analysis; (3) address the specific requirements of participating organizations with respect to bandwidth, access restrictions, and replication; (4) ensure that the data are readily accessible through the analysis and visualization tools used by the climate research community; and (5) transfer infrastructure advances to other domain areas. For the ESGF, the U.S. Department of Energy's (DOE's) Earth System Grid Center for Enabling Technologies (ESG-CET) team has led international development and delivered a production environment for managing and accessing ultra-scale climate data. This production environment includes multiple national and international climate projects (such as the Community Earth System Model and the Coupled Model Intercomparison Project), ocean model data (such as the Parallel Ocean Program), observation data (Atmospheric Radiation Measurement Best Estimate, Carbon Dioxide Information and Analysis Center, Atmospheric Infrared Sounder, etc.), and analysis and visualization tools, all serving a diverse user community. These data holdings and services are distributed across multiple ESG-CET sites (such as ANL, LANL, LBNL/NERSC, LLNL/PCMDI, NCAR, and ORNL) and at unfunded partner sites, such as the Australian National University National Computational Infrastructure, the British Atmospheric Data Centre, the National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory, the Max Planck Institute for Meteorology, the German Climate Computing Centre, the National Aeronautics and Space Administration Jet Propulsion Laboratory, and the National Oceanic and Atmospheric Administration. The ESGF software is distinguished from other collaborative knowledge systems in the climate community by its widespread adoption, federation capabilities, and broad developer base. It is the leading source for present climate data holdings, including the most important and largest data sets in the global-climate community, and - assuming its development continues - we expect it to be the leading source for future climate data holdings as well. Recently, ESG-CET extended its services beyond data-file access and delivery to include more detailed information products (scientific graphics, animations, etc.), secure binary data-access services (based upon the OPeNDAP protocol), and server-side analysis. The latter capabilities allow users to request data subsets transformed through commonly used analysis and intercomparison procedures. As we transition from development activities to production and operations, the ESG-CET team is tasked with making data available to all users seeking to understand, process, extract value from, visualize, and/or communicate it to others. This ongoing effort, though daunting in scope and complexity, will greatly magnify the value of numerical climate model outputs and climate observations for future national and international climate-assessment reports. The ESG-CET team also faces substantial technical challenges due to the rapidly increasing scale of climate simulation and observational data, which will grow, for example, from less than 50 terabytes for the last Intergovernmental Panel on Climate Change (IPCC) assessment to multiple Petabytes for the next IPCC assessment. In a world of exponential technological change and rapidly growing sophistication in climate data analysis, an infrastructure such as ESGF must constantly evolve if it is to remain relevant and useful. Regretfully, we submit our final report at the end of project funding. To continue to serve the climate-science community, we are

  5. Co-Design | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Co-Design Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Co-Design SciDAC Institutes ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown

  6. In-Service Design & Performance Prediction of Advanced Fusion Material Systems by Computational Modeling and Simulation

    SciTech Connect (OSTI)

    G. R. Odette; G. E. Lucas

    2005-11-15

    This final report on "In-Service Design & Performance Prediction of Advanced Fusion Material Systems by Computational Modeling and Simulation" (DE-FG03-01ER54632) consists of a series of summaries of work that has been published, or presented at meetings, or both. It briefly describes results on the following topics: 1) A Transport and Fate Model for Helium and Helium Management; 2) Atomistic Studies of Point Defect Energetics, Dynamics and Interactions; 3) Multiscale Modeling of Fracture consisting of: 3a) A Micromechanical Model of the Master Curve (MC) Universal Fracture Toughness-Temperature Curve Relation, KJc(T - To), 3b) An Embrittlement DTo Prediction Model for the Irradiation Hardening Dominated Regime, 3c) Non-hardening Irradiation Assisted Thermal and Helium Embrittlement of 8Cr Tempered Martensitic Steels: Compilation and Analysis of Existing Data, 3d) A Model for the KJc(T) of a High Strength NFA MA957, 3e) Cracked Body Size and Geometry Effects of Measured and Effective Fracture Toughness-Model Based MC and To Evaluations of F82H and Eurofer 97, 3-f) Size and Geometry Effects on the Effective Toughness of Cracked Fusion Structures; 4) Modeling the Multiscale Mechanics of Flow Localization-Ductility Loss in Irradiation Damaged BCC Alloys; and 5) A Universal Relation Between Indentation Hardness and True Stress-Strain Constitutive Behavior. Further details can be found in the cited references or presentations that generally can be accessed on the internet, or provided upon request to the authors. Finally, it is noted that this effort was integrated with our base program in fusion materials, also funded by the DOE OFES.

  7. Grand Challenges of Advanced Computing for Energy Innovation Report from the Workshop Held July 31-August 2, 2012

    SciTech Connect (OSTI)

    Larzelere, Alex R.; Ashby, Steven F.; Christensen, Dana C.; Crawford, Dona L.; Khaleel, Mohammad A.; John, Grosh; Stults, B. Ray; Lee, Steven L.; Hammond, Steven W.; Grover, Benjamin T.; Neely, Rob; Dudney, Lee Ann; Goldstein, Noah C.; Wells, Jack; Peltz, Jim

    2013-03-06

    On July 31-August 2 of 2012, the U.S. Department of Energy (DOE) held a workshop entitled Grand Challenges of Advanced Computing for Energy Innovation. This workshop built on three earlier workshops that clearly identified the potential for the Department and its national laboratories to enable energy innovation. The specific goal of the workshop was to identify the key challenges that the nation must overcome to apply the full benefit of taxpayer-funded advanced computing technologies to U.S. energy innovation in the ways that the country produces, moves, stores, and uses energy. Perhaps more importantly, the workshop also developed a set of recommendations to help the Department overcome those challenges. These recommendations provide an action plan for what the Department can do in the coming years to improve the nation’s energy future.

  8. Final Report- "An Algorithmic and Software Framework for Applied Partial Differential Equations (APDEC): A DOE SciDAC Integrated Software Infrastructure Center (ISIC)

    SciTech Connect (OSTI)

    Elbridge Gerry Puckett

    2008-05-13

    All of the work conducted under the auspices of DE-FC02-01ER25473 was characterized by exceptionally close collaboration with researchers at the Lawrence Berkeley National Laboratory (LBNL). This included having one of my graduate students - Sarah Williams - spend the summer working with Dr. Ann Almgren a staff scientist in the Center for Computational Sciences and Engineering (CCSE) which is a part of the National Energy Research Supercomputer Center (NERSC) at LBNL. As a result of this visit Sarah decided to work on a problem suggested by Dr. John Bell the head of CCSE for her PhD thesis, which she finished in June 2007. Writing a PhD thesis while working at one of the University of California (UC) managed DOE laboratories is a long established tradition at the University of California and I have always encouraged my students to consider doing this. For example, in 2000 one of my graduate students - Matthew Williams - finished his PhD thesis while working with Dr. Douglas Kothe at the Los Alamos National Laboratory (LANL). Matt is now a staff scientist in the Diagnostic Applications Group in the Applied Physics Division at LANL. Another one of my graduate students - Christopher Algieri - who was partially supported with funds from DE-FC02-01ER25473 wrote am MS Thesis that analyzed and extended work published by Dr. Phil Colella and his colleagues in 1998. Dr. Colella is the head of the Applied Numerical Algorithms Group (ANAG) in the National Energy Research Supercomputer Center at LBNL and is the lead PI for the APDEC ISIC which was comprised of several National Laboratory research groups and at least five University PI's at five different universities. Chris Algieri is now employed as a staff member in Dr. Bill Collins' research group at LBNL developing computational models for climate change research. Bill Collins was recently hired at LBNL to start and be the Head of the Climate Science Department in the Earth Sciences Division at LBNL. Prior to this he had been a Deputy Section Head at the National Center for Atmospheric Research in Colorado. My understanding is that Chris Algieri is the first person that Bill hired after coming to LBNL. The plan is that Chris Algieri will finish his PhD thesis while employed as a staff scientist in Bill's group. Both Sarah and Chris were supported in part with funds from DE-FC02-01ER25473. In Sarah's case she received support both while at U.C. Davis (UCD) taking classes and writing an MS thesis and during some of the time she was living in Berkeley, working at LBNL and finishing her PhD thesis. In Chris' case he was at U.C. Davis during the entire time he received support from DE-FC02-01ER25473. More specific details of their work are included in the report below. Finally my own research conducted under the auspices of DE-FC02-01ER25473 either involved direct collaboration with researchers at LBNL - Phil Colella and Peter Schwartz who is a member of Phil's Applied Numerical Algorithms Group - or was on problems that are closely related to research that has been and continues to be conducted by researchers at LBNL. Specific details of this work can be found below. Finally, I would like to note that the work conducted by my students and me under the auspices of this contract is closely related to work that I have performed with funding from my DOE MICS contract DE-FC02-03ER25579 'Development of High-Order Accurate Interface Tracking Algorithms and Improved Constitutive Models for Problems in Continuum Mechanics with Applications to Jetting' and with my CoPI on that grant Professor Greg Miller of the Department of Applied Science at UCD. In theory I tried to use funds from the SciDAC grant DE-FC02-01ER25473 to support work that directly involved implementing algorithms developed by my research group at U.C. Davis in software that was developed and is maintained by my SciDAC CoPI's at LBNL.

  9. Parallel Higher-order Finite Element Method for Accurate Field Computations in Wakefield and PIC Simulations

    SciTech Connect (OSTI)

    Candel, A.; Kabel, A.; Lee, L.; Li, Z.; Limborg, C.; Ng, C.; Prudencio, E.; Schussman, G.; Uplenchwar, R.; Ko, K.; /SLAC

    2009-06-19

    Over the past years, SLAC's Advanced Computations Department (ACD), under SciDAC sponsorship, has developed a suite of 3D (2D) parallel higher-order finite element (FE) codes, T3P (T2P) and Pic3P (Pic2P), aimed at accurate, large-scale simulation of wakefields and particle-field interactions in radio-frequency (RF) cavities of complex shape. The codes are built on the FE infrastructure that supports SLAC's frequency domain codes, Omega3P and S3P, to utilize conformal tetrahedral (triangular)meshes, higher-order basis functions and quadratic geometry approximation. For time integration, they adopt an unconditionally stable implicit scheme. Pic3P (Pic2P) extends T3P (T2P) to treat charged-particle dynamics self-consistently using the PIC (particle-in-cell) approach, the first such implementation on a conformal, unstructured grid using Whitney basis functions. Examples from applications to the International Linear Collider (ILC), Positron Electron Project-II (PEP-II), Linac Coherent Light Source (LCLS) and other accelerators will be presented to compare the accuracy and computational efficiency of these codes versus their counterparts using structured grids.

  10. computers

    National Nuclear Security Administration (NNSA)

    Each successive generation of computing system has provided greater computing power and energy efficiency.

    CTS-1 clusters will support NNSA's Life Extension Program and...

  11. Development of Computational Approaches for Simulation and Advanced Controls for Hybrid Combustion-Gasification Chemical Looping

    SciTech Connect (OSTI)

    Joshi, Abhinaya; Lou, Xinsheng; Neuschaefer, Carl; Chaudry, Majid; Quinn, Joseph

    2012-07-31

    This document provides the results of the project through September 2009. The Phase I project has recently been extended from September 2009 to March 2011. The project extension will begin work on Chemical Looping (CL) Prototype modeling and advanced control design exploration in preparation for a scale-up phase. The results to date include: successful development of dual loop chemical looping process models and dynamic simulation software tools, development and test of several advanced control concepts and applications for Chemical Looping transport control and investigation of several sensor concepts and establishment of two feasible sensor candidates recommended for further prototype development and controls integration. There are three sections in this summary and conclusions. Section 1 presents the project scope and objectives. Section 2 highlights the detailed accomplishments by project task area. Section 3 provides conclusions to date and recommendations for future work.

  12. High performance computing and communications: Advancing the frontiers of information technology

    SciTech Connect (OSTI)

    1997-12-31

    This report, which supplements the President`s Fiscal Year 1997 Budget, describes the interagency High Performance Computing and Communications (HPCC) Program. The HPCC Program will celebrate its fifth anniversary in October 1996 with an impressive array of accomplishments to its credit. Over its five-year history, the HPCC Program has focused on developing high performance computing and communications technologies that can be applied to computation-intensive applications. Major highlights for FY 1996: (1) High performance computing systems enable practical solutions to complex problems with accuracies not possible five years ago; (2) HPCC-funded research in very large scale networking techniques has been instrumental in the evolution of the Internet, which continues exponential growth in size, speed, and availability of information; (3) The combination of hardware capability measured in gigaflop/s, networking technology measured in gigabit/s, and new computational science techniques for modeling phenomena has demonstrated that very large scale accurate scientific calculations can be executed across heterogeneous parallel processing systems located thousands of miles apart; (4) Federal investments in HPCC software R and D support researchers who pioneered the development of parallel languages and compilers, high performance mathematical, engineering, and scientific libraries, and software tools--technologies that allow scientists to use powerful parallel systems to focus on Federal agency mission applications; and (5) HPCC support for virtual environments has enabled the development of immersive technologies, where researchers can explore and manipulate multi-dimensional scientific and engineering problems. Educational programs fostered by the HPCC Program have brought into classrooms new science and engineering curricula designed to teach computational science. This document contains a small sample of the significant HPCC Program accomplishments in FY 1996.

  13. Ultrascale visualization capabilities for the ParaView/VTK framework

    Energy Science and Technology Software Center (OSTI)

    2009-06-09

    The software is a set of technologies developed by the SciDAC Institute for Ultrascale Visualization in order to address the visualization needs for petascale computing and beyond. These technologies include improved I/O performance, simulation co-processing, advanced rendering capabilities, and specialized visualization techniques developed for SciDAC applications.

  14. Advanced Simulation and Computing and Institutional R&D Programs | National

    National Nuclear Security Administration (NNSA)

    Nuclear Security Administration Simulation and Computing and Institutional R&D Programs | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters

  15. Development of Computational Capabilities to Predict the Corrosion Wastage of Boiler Tubes in Advanced Combustion Systems

    SciTech Connect (OSTI)

    Kung, Steven; Rapp, Robert

    2014-08-31

    A comprehensive corrosion research project consisting of pilot-scale combustion testing and long-term laboratory corrosion study has been successfully performed. A pilot-scale combustion facility available at Brigham Young University was selected and modified to enable burning of pulverized coals under the operating conditions typical for advanced coal-fired utility boilers. Eight United States (U.S.) coals were selected for this investigation, with the test conditions for all coals set to have the same heat input to the combustor. In addition, the air/fuel stoichiometric ratio was controlled so that staged combustion was established, with the stoichiometric ratio maintained at 0.85 in the burner zone and 1.15 in the burnout zone. The burner zone represented the lower furnace of utility boilers, while the burnout zone mimicked the upper furnace areas adjacent to the superheaters and reheaters. From this staged combustion, approximately 3% excess oxygen was attained in the combustion gas at the furnace outlet. During each of the pilot-scale combustion tests, extensive online measurements of the flue gas compositions were performed. In addition, deposit samples were collected at the same location for chemical analyses. Such extensive gas and deposit analyses enabled detailed characterization of the actual combustion environments existing at the lower furnace walls under reducing conditions and those adjacent to the superheaters and reheaters under oxidizing conditions in advanced U.S. coal-fired utility boilers. The gas and deposit compositions were then carefully simulated in a series of 1000-hour laboratory corrosion tests, in which the corrosion performances of different commercial candidate alloys and weld overlays were evaluated at various temperatures for advanced boiler systems. Results of this laboratory study led to significant improvement in understanding of the corrosion mechanisms operating on the furnace walls as well as superheaters and reheaters in coal-fired boilers resulting from the coexistence of sulfur and chlorine in the fuel. A new corrosion mechanism, i.e., “Active Sulfidation Corrosion Mechanism,” has been proposed to account for the accelerated corrosion wastage observed on the furnace walls of utility boilers burning coals containing sulfur and chlorine. In addition, a second corrosion mechanism, i.e., “Active Sulfide-to-Oxide Corrosion Mechanism,” has been identified to account for the rapid corrosion attack on superheaters and reheaters. Both of the newly discovered corrosion mechanisms involve the formation of iron chloride (FeCl2) vapor from iron sulfide (FeS) and HCl, followed by the decomposition of FeCl2 via self-sustaining cycling reactions. For higher alloys containing sufficient chromium, the attack on superheaters and reheaters is dominated by Hot Corrosion in the presence of a fused salt. Furthermore, two stages of the hot corrosion mechanism have been identified and characterized in detail. The initiation of hot corrosion attack induced by molten sulfate leads to Stage 1 “acidic” fluxing and re-precipitation of the protective scale formed initially on the deposit-covered alloy surfaces. Once the protective scale is penetrated, Stage 2 Hot Corrosion is initiated, which is dominated by “basic” fluxing and re-precipitation of the scale in the fused salt. Based on the extensive corrosion information generated from this project, corrosion modeling was performed using non-linear regression analysis. As a result of the modeling efforts, two predictive equations have been formulated, one for furnace walls and the other for superheaters and reheaters. These first-of-the-kind equations can be used to estimate the corrosion rates of boiler tubes based on coal chemistry, alloy compositions, and boiler operating conditions for advanced boiler systems.

  16. National Computational Infrastructure for Lattice Gauge Theory

    SciTech Connect (OSTI)

    Brower, Richard C.

    2014-04-15

    SciDAC-2 Project The Secret Life of Quarks: National Computational Infrastructure for Lattice Gauge Theory, from March 15, 2011 through March 14, 2012. The objective of this project is to construct the software needed to study quantum chromodynamics (QCD), the theory of the strong interactions of sub-atomic physics, and other strongly coupled gauge field theories anticipated to be of importance in the energy regime made accessible by the Large Hadron Collider (LHC). It builds upon the successful efforts of the SciDAC-1 project National Computational Infrastructure for Lattice Gauge Theory, in which a QCD Applications Programming Interface (QCD API) was developed that enables lattice gauge theorists to make effective use of a wide variety of massively parallel computers. This project serves the entire USQCD Collaboration, which consists of nearly all the high energy and nuclear physicists in the United States engaged in the numerical study of QCD and related strongly interacting quantum field theories. All software developed in it is publicly available, and can be downloaded from a link on the USQCD Collaboration web site, or directly from the github repositories with entrance linke http://usqcd-software.github.io

  17. computers

    National Nuclear Security Administration (NNSA)

    California.

     

    Retired computers used for cybersecurity research at Sandia National...

  18. Computer

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    I. INTRODUCTION This paper presents several computational tools required for processing images of a heavy ion beam and estimating the magnetic field within a plasma. The...

  19. Sandia Energy - Computational Science

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computational Science Home Energy Research Advanced Scientific Computing Research (ASCR) Computational Science Computational Sciencecwdd2015-03-26T13:35:2...

  20. Applied Mathematics | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Applied Mathematics Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of

    1. Next Generation Networking | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Next Generation Networking Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking 2012 Scientific Collaborations at Extreme-Scale Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S.

    2. Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation.

      SciTech Connect (OSTI)

      Saffer, Shelley I.

      2014-12-01

      This is a final report of the DOE award DE-SC0001132, Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation. This document describes the achievements of the goals, and resulting research made possible by this award.

    3. Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan : ASC software quality engineering practices Version 3.0.

      SciTech Connect (OSTI)

      Turgeon, Jennifer L.; Minana, Molly A.; Hackney, Patricia; Pilch, Martin M.

      2009-01-01

      The purpose of the Sandia National Laboratories (SNL) Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. Quality is defined in the US Department of Energy/National Nuclear Security Agency (DOE/NNSA) Quality Criteria, Revision 10 (QC-1) as 'conformance to customer requirements and expectations'. This quality plan defines the SNL ASC Program software quality engineering (SQE) practices and provides a mapping of these practices to the SNL Corporate Process Requirement (CPR) 001.3.6; 'Corporate Software Engineering Excellence'. This plan also identifies ASC management's and the software project teams responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals. This SNL ASC Software Quality Plan establishes the signatories commitments to improving software products by applying cost-effective SQE practices. This plan enumerates the SQE practices that comprise the development of SNL ASC's software products and explains the project teams opportunities for tailoring and implementing the practices.

    4. advanced simulation and computing

      National Nuclear Security Administration (NNSA)

      NIF, in particular the first Pu experiment on NIF, the return to operations of the TA-55 gas gun, a successful series of plutonium experiments on Joint Actinide Shock Physics...

    5. Choong-Seock Chang | Princeton Plasma Physics Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Choong-Seock Chang Dr. Choong-Seock Chang is the head of the multi-institutional multi-disciplinary US SciDAC Center for Edge Physics Simulation (EPSI), headquartered at Princeton Plasma Physics Laboratory, Princeton University, awarded by US Department of Energy, Office of Fusion Energy Science and Office of Advanced Scientific Computing Research, jointly. SciDAC is an acronym for Scientific Discovery through Advanced Computing. The center activities include fusion physics, applied mathematics

    6. Vehicle Technologies Office Merit Review 2015: Advancements in Fuel Spray and Combustion Modeling with High Performance Computing Resources

      Broader source: Energy.gov [DOE]

      Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about advancements in...

    7. High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      HPC INL Logo Home High-Performance Computing INL's high-performance computing center provides general use scientific computing capabilities to support the lab's efforts in advanced...

    8. Programming Challenges Abstracts | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Programming Challenges Abstracts and Biographies Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory

    9. Programming Challenges Presentations | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Programming Challenges Presentations Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee

    10. SDM | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      SDM Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact

    11. X-Stack Software Research | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      X-Stack Software Research Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC)

    12. Applied Mathematics Conferences and Workshops | U.S. DOE Office of Science

      Office of Science (SC) Website

      (SC) Applied Mathematics » Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information

    13. Programming Challenges Workshop | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Programming Challenges Workshop Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC)

    14. ASCR X-Stack Portfolio | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      ASCR X-Stack Portfolio Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community

    15. Challenges to be Addressed | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Challenges to be Addressed Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC)

    16. Optimization of Advanced Diesel Engine Combustion Strategies...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      More Documents & Publications Optimization of Advanced Diesel Engine Combustion Strategies Optimization of Advanced Diesel Engine Combustion Strategies Computational Fluid Dynamics ...

    17. Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan. Part 1: ASC software quality engineering practices, Version 2.0.

      SciTech Connect (OSTI)

      Sturtevant, Judith E.; Heaphy, Robert; Hodges, Ann Louise; Boucheron, Edward A.; Drake, Richard Roy; Minana, Molly A.; Hackney, Patricia; Forsythe, Christi A.; Schofield, Joseph Richard, Jr.; Pavlakos, Constantine James; Williamson, Charles Michael; Edwards, Harold Carter

      2006-09-01

      The purpose of the Sandia National Laboratories Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. The plan defines the ASC program software quality practices and provides mappings of these practices to Sandia Corporate Requirements CPR 1.3.2 and 1.3.6 and to a Department of Energy document, ASCI Software Quality Engineering: Goals, Principles, and Guidelines. This document also identifies ASC management and software project teams responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals.

    18. FINAL REPORT DE-FG02-04ER41317 Advanced Computation and Chaotic Dynamics for Beams and Accelerators

      SciTech Connect (OSTI)

      Cary, John R

      2014-09-08

      During the year ending in August 2013, we continued to investigate the potential of photonic crystal (PhC) materials for acceleration purposes. We worked to characterize acceleration ability of simple PhC accelerator structures, as well as to characterize PhC materials to determine whether current fabrication techniques can meet the needs of future accelerating structures. We have also continued to design and optimize PhC accelerator structures, with the ultimate goal of finding a new kind of accelerator structure that could offer significant advantages over current RF acceleration technology. This design and optimization of these requires high performance computation, and we continue to work on methods to make such computation faster and more efficient.

    19. Sandia Energy - High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      High Performance Computing Home Energy Research Advanced Scientific Computing Research (ASCR) High Performance Computing High Performance Computingcwdd2015-03-18T21:41:24+00:00...

    20. Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.

      SciTech Connect (OSTI)

      Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

      2011-02-01

      Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

    1. Computing Videos

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Videos Computing

    2. Advanced Simulation Capability for

      Office of Environmental Management (EM)

      Advanced Simulation & Computing pro- grams as well as collaborating with the Offices of Science, Fossil Energy, and Nuclear Energy. Challenge Current groundwater and soil...

    3. Wanapum Dam Advanced Hydro Turbine Upgrade Project: Part 2 - Evaluation of Fish Passage Test Results Using Computational Fluid Dynamics

      SciTech Connect (OSTI)

      Dresser, Thomas J.; Dotson, Curtis L.; Fisher, Richard K.; Graf, Michael J.; Richmond, Marshall C.; Rakowski, Cynthia L.; Carlson, Thomas J.; Mathur, Dilip; Heisey, Paul G.

      2007-10-10

      This paper, the second part of a 2 part paper, discusses the use of Computational Fluid Dynamics (CFD) to gain further insight into the results of fish release testing conducted to evaluate the modifications made to upgrade Unit 8 at Wanapum Dam. Part 1 discusses the testing procedures and fish passage survival. Grant PUD is working with Voith Siemens Hydro (VSH) and the Pacific Northwest National Laboratory (PNNL) of DOE and Normandeau Associates in this evaluation. VSH has prepared the geometry for the CFD analysis corresponding to the four operating conditions tested with Unit 9, and the 5 operating conditions tested with Unit 8. Both VSH and PNNL have conducting CFD simulations of the turbine intakes, stay vanes, wicket gates, turbine blades and draft tube of the units. Primary objectives of the analyses were: • determine estimates of where the inserted fish passed the turbine components • determine the characteristics of the flow field along the paths calculated for pressure, velocity gradients and acceleration associated with fish sized bodies • determine the velocity gradients at the structures where fish to structure interaction is predicted. • correlate the estimated fish location of passage with observed injuries • correlate the calculated pressure and acceleration with the information recorded with the sensor fish • utilize the results of the analysis to further interpret the results of the testing. This paper discusses the results of the CFD analyses made to assist the interpretation of the fish test results.

    4. Computational physics and applied mathematics capability review June 8-10, 2010 (Advance materials to committee members)

      SciTech Connect (OSTI)

      Lee, Stephen R

      2010-01-01

      Los Alamos National Laboratory will review its Computational Physics and Applied Mathematics (CPAM) capabilities in 2010. The goals of capability reviews are to assess the quality of science, technology, and engineering (STE) performed by the capability, evaluate the integration of this capability across the Laboratory and within the scientific community, examine the relevance of this capability to the Laboratory's programs, and provide advice on the current and future directions of this capability. This is the first such review for CPAM, which has a long and unique history at the laboratory, starting from the inception of the Laboratory in 1943. The CPAM capability covers an extremely broad technical area at Los Alamos, encompassing a wide array of disciplines, research topics, and organizations. A vast array of technical disciplines and activities are included in this capability, from general numerical modeling, to coupled mUlti-physics simulations, to detailed domain science activities in mathematics, methods, and algorithms. The CPAM capability involves over 12 different technical divisions and a majority of our programmatic and scientific activities. To make this large scope tractable, the CPAM capability is broken into the following six technical 'themes.' These themes represent technical slices through the CP AM capability and collect critical core competencies of the Laboratory, each of which contributes to the capability (and each of which is divided into multiple additional elements in the detailed descriptions of the themes in subsequent sections): (1) Computational Fluid Dynamics - This theme speaks to the vast array of scientific capabilities for the simulation of fluids under shocks, low-speed flow, and turbulent conditions - which are key, historical, and fundamental strengths of the laboratory; (2) Partial Differential Equations - The technical scope of this theme is the applied mathematics and numerical solution of partial differential equations (broadly defined) in a variety of settings, including particle transport, solvers, and plasma physics; (3) Monte Carlo - Monte Carlo was invented at Los Alamos, and this theme discusses these vitally important methods and their application in everything from particle transport, to condensed matter theory, to biology; (4) Molecular Dynamics - This theme describes the widespread use of molecular dynamics for a variety of important applications, including nuclear energy, materials science, and biological modeling; (5) Discrete Event Simulation - The technical scope of this theme represents a class of complex system evolutions governed by the action of discrete events. Examples include network, communication, vehicle traffic, and epidemiology modeling; and (6) Integrated Codes - This theme discusses integrated applications (comprised of all of the supporting science represented in Themes 1-5) that are of strategic importance to the Laboratory and the nation. The laboratory has in approximately 10 million source lines of code in over 100 different such strategically important applications. Of these themes, four of them will be reviewed during the 2010 review cycle: Themes 1, 2, 3, and 6. Because these capability reviews occur every three years, Themes 4 and 5 will be reviewed in 2013, along with Theme 6 (which will be reviewed during each review, owing to this theme's role as an integrator of the supporting science represented by the other 5 themes). Yearly written status reports will be provided to the Capability Review Committee Chair during off-cycle years.

    5. Scientific Grand Challenges Workshop Series | U.S. DOE Office of Science

      Office of Science (SC) Website

      (SC) Scientific Grand Challenges Workshop Series Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC

    6. Workshops & Conferences Archive | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Workshops & Conferences Archive Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review

    7. Applied Math PI Meet | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Applied Math PI Meet Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review and Best

    8. Crnare | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Crnare Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review and Best Practices Workshops

    9. DOE Applied Math Summit | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      DOE Applied Math Summit Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review and Best

    10. Modeling of Exascale Applications Summit | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Modeling of Exascale Applications Summit Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations

    11. Applied Math PI Meet Talks | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      ASCR Workshops and Conferences » Applied Math PI Meet Talks Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources ASCR Discovery Monthly News Roundup News Archives ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC

    12. Computing and Computational Sciences Directorate - Computer Science and

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Mathematics Division Computer Science and Mathematics Division The Computer Science and Mathematics Division (CSMD) is ORNL's premier source of basic and applied research in high-performance computing, applied mathematics, and intelligent systems. Our mission includes basic research in computational sciences and application of advanced computing systems, computational, mathematical and analysis techniques to the solution of scientific problems of national importance. We seek to work

    13. Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan. Part 1 : ASC software quality engineering practices version 1.0.

      SciTech Connect (OSTI)

      Minana, Molly A.; Sturtevant, Judith E.; Heaphy, Robert; Hodges, Ann Louise; Boucheron, Edward A.; Drake, Richard Roy; Forsythe, Christi A.; Schofield, Joseph Richard, Jr.; Pavlakos, Constantine James; Williamson, Charles Michael; Edwards, Harold Carter

      2005-01-01

      The purpose of the Sandia National Laboratories (SNL) Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. Quality is defined in DOE/AL Quality Criteria (QC-1) as conformance to customer requirements and expectations. This quality plan defines the ASC program software quality practices and provides mappings of these practices to the SNL Corporate Process Requirements (CPR 1.3.2 and CPR 1.3.6) and the Department of Energy (DOE) document, ASCI Software Quality Engineering: Goals, Principles, and Guidelines (GP&G). This quality plan identifies ASC management and software project teams' responsibilities for cost-effective software engineering quality practices. The SNL ASC Software Quality Plan establishes the signatories commitment to improving software products by applying cost-effective software engineering quality practices. This document explains the project teams opportunities for tailoring and implementing the practices; enumerates the practices that compose the development of SNL ASC's software products; and includes a sample assessment checklist that was developed based upon the practices in this document.

    14. Advanced Scientific Computing Research Jobs

      Office of Science (SC) Website

    15. 2012 Scientific Collaborations at Extreme-Scale | U.S. DOE Office of

      Office of Science (SC) Website

      Science (SC) 2 Scientific Collaborations at Extreme-Scale Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking 2012 Scientific Collaborations at Extreme-Scale Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced

    16. Computing Events

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Events Computing Events Spotlighting the most advanced scientific and technical applications in the world! Featuring exhibits of the latest and greatest technologies from industry, academia and government research organizations; many of these technologies will be seen for the first time in Denver. Supercomputing Conference 13 Denver, Colorado November 17-22, 2013 Spotlighting the most advanced scientific and technical applications in the world, SC13 will bring together the international

    17. Final Report: Performance Engineering Research Institute

      SciTech Connect (OSTI)

      Mellor-Crummey, John

      2014-10-27

      This document is a final report about the work performed for cooperative agreement DE-FC02-06ER25764, the Rice University effort of Performance Engineering Research Institute (PERI). PERI was an Enabling Technologies Institute of the Scientific Discovery through Advanced Computing (SciDAC-2) program supported by the Department of Energy's Office of Science Advanced Scientific Computing Research (ASCR) program. The PERI effort at Rice University focused on (1) research and development of tools for measurement and analysis of application program performance, and (2) engagement with SciDAC-2 application teams.

    18. Advanced Modeling & Simulation | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation ADVANCING THE STATE OF THE ART Innovation advances science. Historically, innovation resulted almost exclusively from fundamental theories combined with observation and experimentation over time. With advancements in engineering, computing power and visualization tools, scientists from all disciplines are gaining insights into physical systems in ways not possible with traditional approaches

    19. Unsolicited Projects in 2011: Research in Execution Models | U.S. DOE

      Office of Science (SC) Website

      Office of Science (SC) 1: Research in Execution Models Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing

    20. University Program in Advanced Technology | National Nuclear...

      National Nuclear Security Administration (NNSA)

      Facility Operations and User Support Computational Systems & Software Environment Verification & Validation Physics and Engineering Models Integrated Codes Advanced Technology ...

    1. Four projects funded under the 2014 DE-FOA-0001088 and LAB 14-1088

      Office of Science (SC) Website

      "Analytical Modeling for Extreme-Scale Computing Environments" solicitation. | U.S. DOE Office of Science (SC) 4 DE-FOA-0001088 and LAB 14-1088 "Analytical Modeling for Extreme-Scale Computing Environments" Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking 2012 Scientific Collaborations at Extreme-Scale Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities

    2. Vehicle Technologies Office Merit Review 2015: Computational Design and Development of a New, Lightweight Cast Alloy for Advanced Cylinder Heads in High-Efficiency, Light-Duty Engines

      Broader source: Energy.gov [DOE]

      Presentation given by General Motors at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about computational design and...

    3. SciTech Connect: "high performance computing"

      Office of Scientific and Technical Information (OSTI)

      Advanced Search Term Search Semantic Search Advanced Search All Fields: "high performance computing" Semantic Semantic Term Title: Full Text: Bibliographic Data: Creator ...

    4. Application of Robust Design and Advanced Computer Aided Engineering Technologies: Cooperative Research and Development Final Report, CRADA Number CRD-04-143

      SciTech Connect (OSTI)

      Thornton, M.

      2013-06-01

      Oshkosh Corporation (OSK) is taking an aggressive approach to implementing advanced technologies, including hybrid electric vehicle (HEV) technology, throughout their commercial and military product lines. These technologies have important implications for OSK's commercial and military customers, including fleet fuel efficiency, quiet operational modes, additional on-board electric capabilities, and lower thermal signature operation. However, technical challenges exist with selecting the optimal HEV components and design to work within the performance and packaging constraints of specific vehicle applications. SK desires to use unique expertise developed at the Department of Energy?s (DOE) National Renewable Energy Laboratory (NREL), including HEV modeling and simulation. These tools will be used to overcome technical hurdles to implementing advanced heavy vehicle technology that meet performance requirements while improving fuel efficiency.

    5. Advances in Performance Assessment

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Researchers at Sandia National Laboratories originated an innovative approach to determining the safety of geologic repositories for radioactive waste disposal called "performance assessment", PA. The discipline of PA continues to advance within the Defense Waste Management Programs as computing capabilities advance and as the discipline is used in an expanding portfolio of applications both nationally and internationally. Do Radioactive Waste Disposal Options Assure Safety for

    6. Previous Computer Science Award Announcements | U.S. DOE Office...

      Office of Science (SC) Website

      Previous Computer Science Award Announcements Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop...

    7. History | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Leadership Computing The Argonne Leadership Computing Facility (ALCF) was established at Argonne National Laboratory in 2004 as part of a U.S. Department of Energy (DOE) initiative dedicated to enabling leading-edge computational capabilities to advance fundamental discovery and understanding in a broad range of scientific and engineering disciplines. Supported by the Advanced Scientific Computing Research (ASCR) program within DOE's Office of Science, the ALCF is one half of the DOE Leadership

    8. TRAC-PF1/MOD1: an advanced best-estimate computer program for pressurized water reactor thermal-hydraulic analysis

      SciTech Connect (OSTI)

      Liles, D.R.; Mahaffy, J.H.

      1986-07-01

      The Los Alamos National Laboratory is developing the Transient Reactor Analysis Code (TRAC) to provide advanced best-estimate predictions of postulated accidents in light-water reactors. The TRAC-PF1/MOD1 program provides this capability for pressurized water reactors and for many thermal-hydraulic test facilities. The code features either a one- or a three-dimensional treatment of the pressure vessel and its associated internals, a two-fluid nonequilibrium hydrodynamics model with a noncondensable gas field and solute tracking, flow-regime-dependent constitutive equation treatment, optional reflood tracking capability for bottom-flood and falling-film quench fronts, and consistent treatment of entire accident sequences including the generation of consistent initial conditions. The stability-enhancing two-step (SETS) numerical algorithm is used in the one-dimensional hydrodynamics and permits this portion of the fluid dynamics to violate the material Courant condition. This technique permits large time steps and, hence, reduced running time for slow transients.

    9. Computing and Computational Sciences Directorate - Joint Institute for

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Sciences Joint Institute for Computational Sciences To help realize the full potential of new-generation computers for advancing scientific discovery, the University of Tennessee (UT) and Oak Ridge National Laboratory (ORNL) have created the Joint Institute for Computational Sciences (JICS). JICS combines the experience and expertise in theoretical and computational science and engineering, computer science, and mathematics in these two institutions and focuses these skills on

    10. Advanced Technology Development and Mitigation | National Nuclear...

      National Nuclear Security Administration (NNSA)

      Our Jobs Working at NNSA Blog Home About Us Our Programs Defense Programs Future Science & Technology Programs Advanced Simulation and Computing and Institutional R&D...

    11. Chapter 4: Advancing Clean Electric Power Technologies

      Broader source: Energy.gov (indexed) [DOE]

      dioxide power cycles, hybrid systems matching renewables with nuclear or fossil, and energy storage. Advanced capabilities in materials, computing, and manufacturing can...

    12. Energy Department Requests Proposals for Advanced Scientific...

      Office of Science (SC) Website

      Energy Department Requests Proposals for Advanced Scientific Computing Research News News ... Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW ...

    13. Advanced Gasificatioin

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Gasification Research Team Members Key Contacts Advanced Gasification Carbon feedstock gasification is a promising pathway for high-efficiency, low-pollutant power generation and chemical production. The inability, however, to meet a number of operational goals could create roadblocks to widespread acceptance and commercialization of advanced gasification technologies. We must, for example, achieve gasifier online availability of 85-95 percent in utility applications, and 95 percent for

    14. SCIDAC-PSI.WIRTH.130319.ppt

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      under combined thermalparticle fluxes * Wirth, Nordlund, Whyte, and Xu, Materials Research Society Bulletin 36 (2011) 216-222 Complex, interlinked PSI phenomena* Figure of...

    15. Computing and Computational Sciences Directorate - Information Technology

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Sciences and Engineering The Computational Sciences and Engineering Division (CSED) is ORNL's premier source of basic and applied research in the field of data sciences and knowledge discovery. CSED's science agenda is focused on research and development related to knowledge discovery enabled by the explosive growth in the availability, size, and variability of dynamic and disparate data sources. This science agenda encompasses data sciences as well as advanced modeling and

    16. "Title","Creator/Author","Publication Date","OSTI Identifier...

      Office of Scientific and Technical Information (OSTI)

      SciDAC 2, Computational Astrophysics Consortium, Supernovae, Computations",,"Final project report for UCSC's participation in the Computational Astrophysics Consortium -...

    17. TITLE AUTHORS SUBJECT SUBJECT RELATED DESCRIPTION PUBLISHER AVAILABILI...

      Office of Scientific and Technical Information (OSTI)

      SciDAC Computational Astrophysics Consortium Supernovae Computations Final project report for UCSC s participation in the Computational Astrophysics Consortium Supernovae...

    18. Computation & Simulation > Theory & Computation > Research >...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      it. Click above to view. computational2 computational3 In This Section Computation & Simulation Computation & Simulation Extensive combinatorial results and ongoing basic...

    19. Accelerating Advanced Material Development

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Materials Research in the Information Age Accelerating Advanced Material Development NERSC Science Gateway a 'Google of Material Properties' October 31, 2011 Linda Vu, lvu@lbl.gov, +1 510 495 2402 Kristin Persson is one of the founding scientists behind the Materials Project, a computational tool aimed at taking the guesswork out of new materials discoveries, especially those aimed at energy applications like batteries. (Roy Kaltschmidt, LBNL) New materials are crucial to building a clean energy

    20. NERSC seeks Computational Systems Group Lead

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      seeks Computational Systems Group Lead NERSC seeks Computational Systems Group Lead January 6, 2011 by Katie Antypas Note: This position is now closed. The Computational Systems Group provides production support and advanced development for the supercomputer systems at NERSC. Manage the Computational Systems Group (CSG) which provides production support and advanced development for the supercomputer systems at NERSC (National Energy Research Scientific Computing Center). These systems, which

    1. Supporting Advanced Scientific Computing Research * Basic Energy...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      effort * Everything is a struggle * Programmers are optimists (sort of) * Simple, language neutral APIs easily accommodate unexpected use cases Links and whatnot * Services...

    2. DOE Advanced Scientific Computing Advisory Committee (ASCAC)...

      Office of Scientific and Technical Information (OSTI)

      5 ; Luce, Richard 6 ; Arjun, Shankar 7 ; Trefethen, Anne 8 ; Wade, Alex 9 ; Williams, Dean 10 + Show Author Affiliations eScience Institute, University of Washington ...

    3. Supporting Advanced Scientific Computing Research * Basic Energy...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Peeringupgrades: * EQX-SJ:installedMX480onOct15 th * EQX-ASH:installedMX480onNov30 th * EQX-CHI:PendingMX480ins...

    4. DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC...

      Office of Scientific and Technical Information (OSTI)

      Paul 7 ; Debenedictus, Erik 2 ; Hiller, Jon 21 ; Kim, K. H. 7 ; Langston, Harper 15 ; Murphy, Richard Micron ; Webster, Clayton 11 ; Wild, Stefan 20 ; Grider,...

    5. Sandia National Laboratories: Advanced Simulation and Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      these models are then incorporated into integrated design codes. Verification and Validation develops and improves methods, metrics, and standards to assess code and model...

    6. Sandia National Laboratories: Advanced Simulation and Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      bahendr@sandia.gov Program Manager David Womble dewombl@sandia.gov Integrated Codes Lead Scott Hutchinson sahutch@sandia.gov Physics & Engineering Modeling Lead Jim Redmond...

    7. Supporting Advanced Scientific Computing Research * Basic Energy...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      in January Status today * Will start publishing SEPs in the DLV in next week * Holding KSK roll until April * Temporarily signing for one site * Will install backup signer box in...

    8. Advanced Computational Methods for Turbulence and Combustion

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      flow, local burning, and emissions across a range of flow and fueling scenarios at a spectacular level of detail (see image). The simulated chemical details are experimentally...

    9. Sandia National Laboratories: Advanced Simulation Computing:...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      System response prediction capability includes mechanical (large deformation, contact, fracture), thermal (conduction, surface radiation), and lightning (arc). Radiation...

    10. Sandia National Laboratories: Advanced Simulation and Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Crack Modeling The Physics & Engineering Models program provides the models and databases used in simulations supporting the U.S. stockpile. These models and databases...

    11. ADVANCED SCIENTIFIC COMPUTING ADVISORY COMMITTEEMonday, July...

      Office of Science (SC) Website

      The meeting is open to the public. To access the call: Dial Toll-Free Number: 866-740-1260 ... Break 3:30 PM-4:00 PM Center for Applied Mathematics for Energy Research ApplicationS ...

    12. Sandia National Laboratories: Advanced Simulation and Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      located at other laboratories. These interconnects require constant observation and analysis as minor changes or error conditions can drastically alter the performance of...

    13. Advanced Health Monitoring of Computer Cluster

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Sherry Salas Mentors: Susan Coulter, Andree Jacobson, Kevin Tegtmeier LANL ISTIIAS ClusterNetwork Management Summer Institute August 2, 2007 Problem As a cluster grows in...

    14. Sandia National Laboratories: Advanced Simulation and Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and surfaces for finite element analysis. Trilinos Trilinos is an extensive open source software library that provides users with a variety of solvers for use on parallel...

    15. Advanced Simulation and Computing Business Plan

      SciTech Connect (OSTI)

      Rummel, E.

      2015-07-09

      To maintain a credible nuclear weapons program, the National Nuclear Security Administration’s (NNSA’s) Office of Defense Programs (DP) needs to make certain that the capabilities, tools, and expert staff are in place and are able to deliver validated assessments. This requires a complete and robust simulation environment backed by an experimental program to test ASC Program models. This ASC Business Plan document encapsulates a complex set of elements, each of which is essential to the success of the simulation component of the Nuclear Security Enterprise. The ASC Business Plan addresses the hiring, mentoring, and retaining of programmatic technical staff responsible for building the simulation tools of the nuclear security complex. The ASC Business Plan describes how the ASC Program engages with industry partners—partners upon whom the ASC Program relies on for today’s and tomorrow’s high performance architectures. Each piece in this chain is essential to assure policymakers, who must make decisions based on the results of simulations, that they are receiving all the actionable information they need.

    16. Advanced Combustion

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Combustion Fact Sheet Key Contacts Advanced Combustion Background Conventional coal-fired power plants utilize steam turbines to generate electricity, which operate at efficiencies of 35-37 percent. Operation at higher temperatures and pressures can lead to higher efficiencies. Oxy-combustion comes with an efficiency loss, so it will actually increase the amount of CO2 to be captured. But without so much N2 in the flue gas, it will be easier and perhaps more efficient to capture,

    17. Cielo Computational Environment Usage Model With Mappings to...

      Office of Scientific and Technical Information (OSTI)

      Cielo is a massively parallel supercomputer funded by the DOENNSA Advanced Simulation and Computing (ASC) program, and operated by the Alliance for Computing at Extreme Scale ...

    18. hybridTalk1.ppt

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Hybrid Programming Alice Koniges, Berkeley Lab/NERSC Rusty Lusk, Argonne National Laboratory (ANL) Rolf Rabenseifner, HLRS, University of Stuttgart, Germany Gabriele Jost, Texas Advanced Computing Center This short talk is a conglomeration of larger presentations given by the above authors at a variety of tutorials including SC08, SC09 (upcoming) ParCFD 2009, SciDAC 2009 We are grateful for the use of these slides at the NUG User Group Meeting NERSC Users Group Meeting 2009 2 Computer Centers

    19. Computational Physics and Methods

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      2 Computational Physics and Methods Performing innovative simulations of physics phenomena on tomorrow's scientific computing platforms Growth and emissivity of young galaxy hosting a supermassive black hole as calculated in cosmological code ENZO and post-processed with radiative transfer code AURORA. image showing detailed turbulence simulation, Rayleigh-Taylor Turbulence imaging: the largest turbulence simulations to date Advanced multi-scale modeling Turbulence datasets Density iso-surfaces

    20. High Performance Computing Facility Operational Assessment, CY...

      Office of Scientific and Technical Information (OSTI)

      around the world for computational simulations relevant to national and energy security; advancing the frontiers of knowledge in physical sciences and areas of ...

    1. Fermilab | Science at Fermilab | Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Computing is indispensable to science at Fermilab. High-energy physics experiments generate an astounding amount of data that physicists need to store, analyze and communicate with others. Cutting-edge technology allows scientists to work quickly and efficiently to advance our understanding of the world . Fermilab's Computing Division is recognized for its expertise in handling huge amounts of data, its success in high-speed parallel computing and its willingness to take its craft in

    2. Advanced Combustion

      SciTech Connect (OSTI)

      Holcomb, Gordon R.

      2013-03-11

      The activity reported in this presentation is to provide the mechanical and physical property information needed to allow rational design, development and/or choice of alloys, manufacturing approaches, and environmental exposure and component life models to enable oxy-fuel combustion boilers to operate at Ultra-Supercritical (up to 650{degrees}C & between 22-30 MPa) and/or Advanced Ultra-Supercritical conditions (760{degrees}C & 35 MPa).

    3. Advanced Biofuels

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

    4. Advanced Imaging

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Imaging - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

    5. Advanced Materials

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

    6. Advanced fuel chemistry for advanced engines.

      SciTech Connect (OSTI)

      Taatjes, Craig A.; Jusinski, Leonard E.; Zador, Judit; Fernandes, Ravi X.; Miller, James A.

      2009-09-01

      Autoignition chemistry is central to predictive modeling of many advanced engine designs that combine high efficiency and low inherent pollutant emissions. This chemistry, and especially its pressure dependence, is poorly known for fuels derived from heavy petroleum and for biofuels, both of which are becoming increasingly prominent in the nation's fuel stream. We have investigated the pressure dependence of key ignition reactions for a series of molecules representative of non-traditional and alternative fuels. These investigations combined experimental characterization of hydroxyl radical production in well-controlled photolytically initiated oxidation and a hybrid modeling strategy that linked detailed quantum chemistry and computational kinetics of critical reactions with rate-equation models of the global chemical system. Comprehensive mechanisms for autoignition generally ignore the pressure dependence of branching fractions in the important alkyl + O{sub 2} reaction systems; however we have demonstrated that pressure-dependent 'formally direct' pathways persist at in-cylinder pressures.

    7. Compute nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute nodes Compute nodes Click here to see more detailed hierachical map of the topology of a compute node. Last edited: 2016-02-01 08:07:08

    8. Sandia Energy - Advanced Controls of Wave Energy Converters May...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Controls of Wave Energy Converters May Increase Power Capture Up to 330% Home Renewable Energy Energy Water Power Partnership News News & Events Computational Modeling &...

    9. Consortium for Advanced Simulation of Light Water Reactors (CASL...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      J.C., CASL: Consortium for the Advanced Simulation of Light Water Reactors - A DOE Energy Innovation Hub, ANS MC2015 Joint Internation Conference on Mathematics and Computation...

    10. Advances In Geothermal Resource Exploration Circa 2007 | Open...

      Open Energy Info (EERE)

      that will indicate the presence of geothermal resources before drilling. Advances in computer technology have propelled geothermal exploration forward, but can only go so far. New...

    11. Vehicle Technologies Office Merit Review 2014: Computational design and development of a new, lightweight cast alloy for advanced cylinder heads in high-efficiency, light-duty engines FOA 648-3a

      Broader source: Energy.gov [DOE]

      Presentation given by General Motors at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about computational design and...

    12. Computing Information

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      here you can find information relating to: Obtaining the right computer accounts. Using NIC terminals. Using BooNE's Computing Resources, including: Choosing your desktop....

    13. Computer System,

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      undergraduate summer institute http:isti.lanl.gov (Educational Prog) 2016 Computer System, Cluster, and Networking Summer Institute Purpose The Computer System,...

    14. Design and Optimization of Large Accelerator Systems through High-Fidelity Electromagnetic Simulations

      SciTech Connect (OSTI)

      Ng, Cho; Akcelik, Volkan; Candel, Arno; Chen, Sheng; Ge, Lixin; Kabel, Andreas; Lee, Lie-Quan; Li, Zenghai; Prudencio, Ernesto; Schussman, Greg; Uplenchwar1, Ravi; Xiao1, Liling; Ko1, Kwok; Austin, T.; Cary, J.R.; Ovtchinnikov, S.; Smith, D.N.; Werner, G.R.; Bellantoni, L.; /SLAC /TechX Corp. /Fermilab

      2008-08-01

      SciDAC1, with its support for the 'Advanced Computing for 21st Century Accelerator Science and Technology' (AST) project, witnessed dramatic advances in electromagnetic (EM) simulations for the design and optimization of important accelerators across the Office of Science. In SciDAC2, EM simulations continue to play an important role in the 'Community Petascale Project for Accelerator Science and Simulation' (ComPASS), through close collaborations with SciDAC CETs/Institutes in computational science. Existing codes will be improved and new multi-physics tools will be developed to model large accelerator systems with unprecedented realism and high accuracy using computing resources at petascale. These tools aim at targeting the most challenging problems facing the ComPASS project. Supported by advances in computational science research, they have been successfully applied to the International Linear Collider (ILC) and the Large Hadron Collider (LHC) in High Energy Physics (HEP), the JLab 12-GeV Upgrade in Nuclear Physics (NP), as well as the Spallation Neutron Source (SNS) and the Linac Coherent Light Source (LCLS) in Basic Energy Sciences (BES).

    15. Nick Wright Named Advanced Technologies Group Lead

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nick Wright Named Advanced Technologies Group Lead Nick Wright Named Advanced Technologies Group Lead February 4, 2013 Nick Nick Wright has been named head of the National Energy Research Scientific Computing Center's (NERSC) Advanced Technologies Group (ATG), which focuses on understanding the requirements of current and emerging applications to make choices in hardware design and programming models that best serve the science needs of NERSC users. ATG specializes in benchmarking, system

    16. Bioinformatics Computing Consultant Position Available

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Bioinformatics Computing Consultant Position Available Bioinformatics Computing Consultant Position Available October 31, 2011 by Katie Antypas NERSC and the Joint Genome Institute (JGI) are searching for two individuals who can help biologists exploit advanced computing platforms. JGI provides production sequencing and genomics for the Department of Energy. These activities are critical to the DOE missions in areas related to clean energy generation and environmental characterization and

    17. computational-fluid-dynamics-training

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Table of Contents Date Location Advanced Hydraulic and Aerodynamic Analysis Using CFD March 27-28, 2013 Argonne TRACC Argonne, IL Computational Hydraulics and Aerodynamics using STAR-CCM+ for CFD Analysis March 21-22, 2012 Argonne TRACC Argonne, IL Computational Hydraulics and Aerodynamics using STAR-CCM+ for CFD Analysis March 30-31, 2011 Argonne TRACC Argonne, IL Computational Hydraulics for Transportation Workshop September 23-24, 2009 Argonne TRACC West Chicago, IL

    18. Computing and Computational Sciences Directorate - Computer Science...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      AWARD Winners: Jess Gehin; Jackie Isaacs; Douglas Kothe; Debbie McCoy; Bonnie Nestor; John Turner; Gilbert Weigand Organization(s): Nuclear Technology Program; Computing and...

    19. Cloud Computing Services

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Services - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

    20. High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Performance Computing - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

    1. Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Anti-HIV antibody Software optimized on Mira advances design of mini-proteins for medicines, materials Scientists at the University of Washington are using Mira to virtually design unique, artificial peptides, or short proteins. Read More Celebrating 10 years 10 science highlights celebrating 10 years of Argonne Leadership Computing Facility To celebrate our 10th anniversary, we're highlighting 10 science accomplishments since we opened our doors. Read More Bill Gropp works with students during

    2. Applied & Computational Math

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      & Computational Math - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

    3. Study of Plasma Liner Driven Magnetized Target Fusion Via Advanced Simulations

      SciTech Connect (OSTI)

      Samulyak, Roman V.; Parks, Paul

      2013-08-31

      The feasibility of the plasma liner driven Magnetized Target Fusion (MTF) via terascale numerical simulations will be assessed. In the MTF concept, a plasma liner, formed by merging of a number (60 or more) of radial, highly supersonic plasma jets, implodes on the target in the form of two compact plasma toroids, and compresses it to conditions of the fusion ignition. By avoiding major difficulties associated with both the traditional laser driven inertial confinement fusion and solid liner driven MTF, the plasma liner driven MTF potentially provides a low-cost and fast R&D path towards the demonstration of practical fusion energy. High fidelity numerical simulations of full nonlinear models associated with the plasma liner MTF using state-of-art numerical algorithms and terascale computing are necessary in order to resolve uncertainties and provide guidance for future experiments. At Stony Brook University, we have developed unique computational capabilities that ideally suite the MTF problem. The FronTier code, developed in collaboration with BNL and LANL under DOE funding including SciDAC for the simulation of 3D multi-material hydro and MHD flows, has beenbenchmarked and used for fundamental and engineering problems in energy science applications. We have performed 3D simulations of converging supersonic plasma jets, their merger and the formation of the plasma liner, and a study of the corresponding oblique shock problem. We have studied the implosion of the plasma liner on the magnetized plasma target by resolving Rayleigh-Taylor instabilities in 2D and 3D and other relevant physics and estimate thermodynamic conditions of the target at the moment of maximum compression and the hydrodynamic efficiency of the method.

    4. Computationally Optimized Homogenization Heat Treatment of Metal Alloys -

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Energy Innovation Portal Advanced Materials Advanced Materials Find More Like This Return to Search Computationally Optimized Homogenization Heat Treatment of Metal Alloys National Energy Technology Laboratory Contact NETL About This Technology Publications: PDF Document Publication Computationally Optimized Homogenization Heat Treatment of Metal Alloys (291 KB) Technology Marketing Summary ? A computational approach has been developed to improve the homogenization heat treatment of solid

    5. Computing Sciences

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Division The Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and...

    6. Computing Resources

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Cluster-Image TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computing Resources The TRACC Computational Clusters With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD

    7. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Nodes Compute Nodes Quad CoreAMDOpteronprocessor Compute Node Configuration 9,572 nodes 1 quad-core AMD 'Budapest' 2.3 GHz processor per node 4 cores per node (38,288 total cores) 8 GB DDR3 800 MHz memory per node Peak Gflop rate 9.2 Gflops/core 36.8 Gflops/node 352 Tflops for the entire machine Each core has their own L1 and L2 caches, with 64 KB and 512KB respectively 2 MB L3 cache shared among the 4 cores Compute Node Software By default the compute nodes run a restricted low-overhead

    8. Oak Ridge National Laboratory - Computing and Computational Sciences

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Directorate Oak Ridge to acquire next generation supercomputer Oak Ridge to acquire next generation supercomputer The U.S. Department of Energy's (DOE) Oak Ridge Leadership Computing Facility (OLCF) has signed a contract with IBM to bring a next-generation supercomputer to Oak Ridge National Laboratory (ORNL). The OLCF's new hybrid CPU/GPU computing system, Summit, will be delivered in 2017. (more) Links Department of Energy Consortium for Advanced Simulation of Light Water Reactors Extreme

    9. Sandia Energy - Advanced Imaging

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Imaging Home Transportation Energy Predictive Simulation of Engines Reacting Flow Experiments Advanced Imaging Advanced ImagingAshley Otero2015-10-30T01:47:37+00:00...

    10. Computer Assisted Virtual Environment - CAVE

      ScienceCinema (OSTI)

      Erickson, Phillip; Podgorney, Robert; Weingartner, Shawn; Whiting, Eric

      2014-06-09

      Research at the Center for Advanced Energy Studies is taking on another dimension with a 3-D device known as a Computer Assisted Virtual Environment. The CAVE uses projection to display high-end computer graphics on three walls and the floor. By wearing 3-D glasses to create depth perception and holding a wand to move and rotate images, users can delve into data.

    11. ASCR Leadership Computing Challenge Requests for Time Due February...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      laboratories, academia and industry. This program allocates time at NERSC and the Leadership Computing Facilities at Argonne and Oak Ridge. Areas of interest are: Advancing...

    12. National Energ y Research Scientific Computing Center

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Annual Report This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC 03-76SF00098. LBNL-49186, December 2001 National Energ y Research Scientific Computing Center 2001 Annual Report NERSC aspires to be a world leader in accelerating scientific discovery through computation. Our vision is to provide high- performance computing tools to tackle science's biggest and most challenging

    13. Computer Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Cite Seer Department of Energy provided open access science research citations in chemistry, physics, materials, engineering, and computer science IEEE Xplore Full text...

    14. Computer Security

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Security All JLF participants must fully comply with all LLNL computer security regulations and procedures. A laptop entering or leaving B-174 for the sole use by a US citizen and so configured, and requiring no IP address, need not be registered for use in the JLF. By September 2009, it is expected that computers for use by Foreign National Investigators will have no special provisions. Notify maricle1@llnl.gov of all other computers entering, leaving, or being moved within B 174. Use

    15. Sandia Energy - Advanced Research & Development

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Research & Development Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Advanced Research & Development Advanced Research & DevelopmentCoryne...

    16. Computation Directorate 2008 Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2009-03-25

      Whether a computer is simulating the aging and performance of a nuclear weapon, the folding of a protein, or the probability of rainfall over a particular mountain range, the necessary calculations can be enormous. Our computers help researchers answer these and other complex problems, and each new generation of system hardware and software widens the realm of possibilities. Building on Livermore's historical excellence and leadership in high-performance computing, Computation added more than 331 trillion floating-point operations per second (teraFLOPS) of power to LLNL's computer room floors in 2008. In addition, Livermore's next big supercomputer, Sequoia, advanced ever closer to its 2011-2012 delivery date, as architecture plans and the procurement contract were finalized. Hyperion, an advanced technology cluster test bed that teams Livermore with 10 industry leaders, made a big splash when it was announced during Michael Dell's keynote speech at the 2008 Supercomputing Conference. The Wall Street Journal touted Hyperion as a 'bright spot amid turmoil' in the computer industry. Computation continues to measure and improve the costs of operating LLNL's high-performance computing systems by moving hardware support in-house, by measuring causes of outages to apply resources asymmetrically, and by automating most of the account and access authorization and management processes. These improvements enable more dollars to go toward fielding the best supercomputers for science, while operating them at less cost and greater responsiveness to the customers.

    17. Bridging the Gap to 64-bit Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Opteron and AMD64 A Commodity 64 bit x86 SOC Fred Weber Vice President and CTO Computation Products Group Advanced Micro Devices 22 April 2003 AMD - Salishan HPC 2003 2 Opteron...

    18. Computing and Computational Sciences Directorate - Divisions

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      CCSD Divisions Computational Sciences and Engineering Computer Sciences and Mathematics Information Technolgoy Services Joint Institute for Computational Sciences National Center for Computational Sciences

    19. Electrochromic Windows - Advanced Processing Technology | Department of

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Energy Electrochromic Windows - Advanced Processing Technology Electrochromic Windows - Advanced Processing Technology 'Smart Glass' Technology Reduces Solar Heat Gain in Buildings Windows are often the most inefficient part of a building envelope and are responsible for heat loss in cold months and solar heat gain in warm months. Sunlight entering a home can increase cooling loads by up to 20%. In some instances, glare from the sun can make it difficult to see a computer or other LCD

    20. Advanced Manufacturing Office News

      SciTech Connect (OSTI)

      2013-08-08

      News stories about advanced manufacturing, events, and office accomplishments. Subscribe to receive updates.

    1. Advanced Manufacturing Office Overview

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      DOE Workshop: Microwave (MW) and Radio Frequency (RF) as Enabling Technologies for Advanced Manufacturing Venue: The 2nd Global Congress on Microwave Energy Applications (2GCMEA) July 25, 2012 Long Beach Hilton Long Beach, CA Advanced Manufacturing Office U.S. Department of Energy Rob Ivester Acting Deputy Program Manager, Advanced Manufacturing Office Advanced Manufacturing Office Advanced Manufacturing Office Agenda Time Activity 2:00-2:30 PM Opening Session - AMO o Presentation of Industry

    2. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Nodes Compute Nodes There are currently 2632 nodes available on PDSF. The compute (batch) nodes at PDSF are heterogenous, reflecting the periodic procurement of new nodes (and the eventual retirement of old nodes). From the user's perspective they are essentially all equivalent except that some have more memory per job slot. If your jobs have memory requirements beyond the default maximum of 1.1GB you should specify that in your job submission and the batch system will run your job on an

    3. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nodes Quad CoreAMDOpteronprocessor Compute Node Configuration 9,572 nodes 1 quad-core AMD 'Budapest' 2.3 GHz processor per node 4 cores per node (38,288 total cores) 8 GB...

    4. Exascale Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Exascale Computing CoDEx Project: A Hardware/Software Codesign Environment for the Exascale Era The next decade will see a rapid evolution of HPC node architectures as power and cooling constraints are limiting increases in microprocessor clock speeds and constraining data movement. Applications and algorithms will need to change and adapt as node architectures evolve. A key element of the strategy as we move forward is the co-design of applications, architectures and programming

    5. LHC Computing

      SciTech Connect (OSTI)

      Lincoln, Don

      2015-07-28

      The LHC is the world’s highest energy particle accelerator and scientists use it to record an unprecedented amount of data. This data is recorded in electronic format and it requires an enormous computational infrastructure to convert the raw data into conclusions about the fundamental rules that govern matter. In this video, Fermilab’s Dr. Don Lincoln gives us a sense of just how much data is involved and the incredible computer resources that makes it all possible.

    6. Argonne Leadership Computing Facility (ALCF) | U.S. DOE Office of Science

      Office of Science (SC) Website

      (SC) Argonne Leadership Computing Facility (ALCF) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Argonne Leadership Computing Facility (ALCF) Energy Sciences Network (ESnet) National Energy Research Scientific Computing Center (NERSC) Oak Ridge Leadership Computing Facility (OLCF) Accessing ASCR Facilities Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science Highlights Benefits of ASCR Funding

    7. Oak Ridge Leadership Computing Facility (OLCF) | U.S. DOE Office of Science

      Office of Science (SC) Website

      (SC) Oak Ridge Leadership Computing Facility (OLCF) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Argonne Leadership Computing Facility (ALCF) Energy Sciences Network (ESnet) National Energy Research Scientific Computing Center (NERSC) Oak Ridge Leadership Computing Facility (OLCF) Accessing ASCR Facilities Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science Highlights Benefits of ASCR Funding

    8. Advanced fossil fuel combustor

      SciTech Connect (OSTI)

      Rogers, B.

      1995-05-01

      Charged with enhancing the use of US fossil energy resources, the Morgantown Energy Technology Center (METC) is a federal Department of Energy research center that performs its own research and also manages the work of contractors. One interesting recent METC project is the effort to develop a ``multiannular swirl burner`` (MSB) for use in an advanced fossil fuel combustion system. The design is being developed by an outside contractor with funding and technical assistance from METC. Recently, EG and G Technical Services of West Virginia was asked to provide analytical support to the contractor developing the MSB. Design projects like this usually require building and testing a series of very expensive prototypes. Recent success with computational fluid dynamic (CFD) design techniques, however, have generated a great deal of excitement because of its ability to reduce research and development costs. Using FLUENT, a CFD package from Fluent Inc., EG and G was able to predict, with a high degree of accuracy, the performance of one of the MSB combustor prototypes. Furthermore, the model provided researchers with a more detailed understanding of the proposed design`s performance characteristics.

    9. UTILITY OF MECHANISTIC MODELS FOR DIRECTING ADVANCED SEPARATIONS RESEARCH & DEVELOPMENT ACTIVITIES: Electrochemically Modulated Separation Example

      SciTech Connect (OSTI)

      Schwantes, Jon M.

      2009-06-01

      The objective for this work was to demonstrate the utility of mechanistic computer models designed to simulate actinide behavior for use in efficiently and effectively directing advanced laboratory R&D activities associated with developing advanced separations methods.

    10. Computational mechanics

      SciTech Connect (OSTI)

      Goudreau, G.L.

      1993-03-01

      The Computational Mechanics thrust area sponsors research into the underlying solid, structural and fluid mechanics and heat transfer necessary for the development of state-of-the-art general purpose computational software. The scale of computational capability spans office workstations, departmental computer servers, and Cray-class supercomputers. The DYNA, NIKE, and TOPAZ codes have achieved world fame through our broad collaborators program, in addition to their strong support of on-going Lawrence Livermore National Laboratory (LLNL) programs. Several technology transfer initiatives have been based on these established codes, teaming LLNL analysts and researchers with counterparts in industry, extending code capability to specific industrial interests of casting, metalforming, and automobile crash dynamics. The next-generation solid/structural mechanics code, ParaDyn, is targeted toward massively parallel computers, which will extend performance from gigaflop to teraflop power. Our work for FY-92 is described in the following eight articles: (1) Solution Strategies: New Approaches for Strongly Nonlinear Quasistatic Problems Using DYNA3D; (2) Enhanced Enforcement of Mechanical Contact: The Method of Augmented Lagrangians; (3) ParaDyn: New Generation Solid/Structural Mechanics Codes for Massively Parallel Processors; (4) Composite Damage Modeling; (5) HYDRA: A Parallel/Vector Flow Solver for Three-Dimensional, Transient, Incompressible Viscous How; (6) Development and Testing of the TRIM3D Radiation Heat Transfer Code; (7) A Methodology for Calculating the Seismic Response of Critical Structures; and (8) Reinforced Concrete Damage Modeling.

    11. Computing and Computational Sciences Directorate - Contacts

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Home â€ș About Us Contacts Jeff Nichols Associate Laboratory Director Computing and Computational Sciences Becky Verastegui Directorate Operations Manager Computing and Computational Sciences Directorate Michael Bartell Chief Information Officer Information Technologies Services Division Jim Hack Director, Climate Science Institute National Center for Computational Sciences Shaun Gleason Division Director Computational Sciences and Engineering Barney Maccabe Division Director Computer Science

    12. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Nodes Compute Nodes MC-proc.png Compute Node Configuration 6,384 nodes 2 twelve-core AMD 'MagnyCours' 2.1-GHz processors per node (see die image to the right and schematic below) 24 cores per node (153,216 total cores) 32 GB DDR3 1333-MHz memory per node (6,000 nodes) 64 GB DDR3 1333-MHz memory per node (384 nodes) Peak Gflop/s rate: 8.4 Gflops/core 201.6 Gflops/node 1.28 Peta-flops for the entire machine Each core has its own L1 and L2 caches, with 64 KB and 512KB respectively One 6-MB

    13. Computational Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Science - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

    14. Computational mechanics

      SciTech Connect (OSTI)

      Raboin, P J

      1998-01-01

      The Computational Mechanics thrust area is a vital and growing facet of the Mechanical Engineering Department at Lawrence Livermore National Laboratory (LLNL). This work supports the development of computational analysis tools in the areas of structural mechanics and heat transfer. Over 75 analysts depend on thrust area-supported software running on a variety of computing platforms to meet the demands of LLNL programs. Interactions with the Department of Defense (DOD) High Performance Computing and Modernization Program and the Defense Special Weapons Agency are of special importance as they support our ParaDyn project in its development of new parallel capabilities for DYNA3D. Working with DOD customers has been invaluable to driving this technology in directions mutually beneficial to the Department of Energy. Other projects associated with the Computational Mechanics thrust area include work with the Partnership for a New Generation Vehicle (PNGV) for ''Springback Predictability'' and with the Federal Aviation Administration (FAA) for the ''Development of Methodologies for Evaluating Containment and Mitigation of Uncontained Engine Debris.'' In this report for FY-97, there are five articles detailing three code development activities and two projects that synthesized new code capabilities with new analytic research in damage/failure and biomechanics. The article this year are: (1) Energy- and Momentum-Conserving Rigid-Body Contact for NIKE3D and DYNA3D; (2) Computational Modeling of Prosthetics: A New Approach to Implant Design; (3) Characterization of Laser-Induced Mechanical Failure Damage of Optical Components; (4) Parallel Algorithm Research for Solid Mechanics Applications Using Finite Element Analysis; and (5) An Accurate One-Step Elasto-Plasticity Algorithm for Shell Elements in DYNA3D.

    15. Computing Resources

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Resources This page is the repository for sundry items of information relevant to general computing on BooNE. If you have a question or problem that isn't answered here, or a suggestion for improving this page or the information on it, please mail boone-computing@fnal.gov and we'll do our best to address any issues. Note about this page Some links on this page point to www.everything2.com, and are meant to give an idea about a concept or thing without necessarily wading through a whole website

    16. Advanced Critical Advanced Energy Retrofit Education and Training...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Critical Advanced Energy Retrofit Education and Training and Credentialing - 2014 BTO Peer Review Advanced Critical Advanced Energy Retrofit Education and Training and...

    17. Advanced Nuclear Technology: Advanced Light Water Reactors Utility...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Nuclear Technology: Advanced Light Water Reactors Utility Requirements Document Small Modular Reactors Inclusion Summary Advanced Nuclear Technology: Advanced Light Water Reactors ...

    18. Berkeley Lab Highlights HPC at Advanced Manufacturing Event

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Highlights HPC at Advanced Manufacturing Event Berkeley Lab Highlights HPC at Advanced Manufacturing Event September 14, 2015 Peter Nugent, Division Deputy for Scientific Engagement in Berkeley Lab's Computational Research Division, and David Skinner, who leads NERSC's Strategic Partnerships effort, are participating this week in the third annual 2015 American Energy & Manufacturing Competitiveness Summit, where they will be discussing the increasing role of high performance computing in

    19. Recovery Act. Development and Validation of an Advanced Stimulation

      Office of Scientific and Technical Information (OSTI)

      Prediction Model for Enhanced Geothermal Systems (Technical Report) | SciTech Connect Recovery Act. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems Citation Details In-Document Search Title: Recovery Act. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems This research project aims to develop and validate an advanced computer model that can be used in the planning and design of

    20. Computer System,

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      System, Cluster, and Networking Summer Institute New Mexico Consortium and Los Alamos National Laboratory HOW TO APPLY Applications will be accepted JANUARY 5 - FEBRUARY 13, 2016 Computing and Information Technology undegraduate students are encouraged to apply. Must be a U.S. citizen. * Submit a current resume; * Offcial University Transcript (with spring courses posted and/or a copy of spring 2016 schedule) 3.0 GPA minimum; * One Letter of Recommendation from a Faculty Member; and * Letter of

    1. SciDAC Outreach Center Participates in "Materials for Energy...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Center Participates in "Materials for Energy Applications" Workshop February 1, 2012 David Skinner From Jan. 30 to Feb. 1 Berkeley Lab hosted an invitation-only workshop on...

    2. SciDAC - Center for Plasma Edge Simulation - Project Summary

      SciTech Connect (OSTI)

      Parker, Scott

      2014-11-03

      Final Technical Report: Center for Plasma Edge Simulation (CPES) Principal Investigator: Scott Parker, University of Colorado, Boulder Description/Abstract First-principle simulations of edge pedestal micro-turbulence are performed with the global gyrokinetic turbulence code GEM for both low and high confinement tokamak plasmas. The high confinement plasmas show a larger growth rate, but nonlinearly a lower particle and heat flux. Numerical profiles are obtained from the XGC0 neoclassical code. XGC0/GEM code coupling is implemented under the EFFIS (“End-to-end Framework for Fusion Integrated Simulation”) framework. Investigations are underway to clearly identify the micro-instabilities in the edge pedestal using global and flux-tube gyrokinetic simulation with realistic experimental high confinement profiles. We use both experimental profiles and those obtained using the EFFIS XGC0/GEM coupled code framework. We find there are three types of instabilities at the edge: a low-n, high frequency electron mode, a high-n, low frequency ion mode, and possibly an ion mode like kinetic ballooning mode (KBM). Investigations are under way for the effects of the radial electric field. Finally, we have been investigating how plasmas dominated by ion-temperature gradient (ITG) driven turbulence, how cold Deuterium and Tritium ions near the edge will naturally pinch radially inward towards the core. We call this mechanism “natural fueling.” It is due to the quasi-neutral heat flux dominated nature of the turbulence and still applies when trapped and passing kinetic electron effects are included. To understand this mechanism, examine the situation where the electrons are adiabatic, and there is an ion heat flux. In such a case, lower energy particles move inward and higher energy particles move outward. If a trace amount of cold particles are added, they will move inward.

    3. AdvAnced

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      AdvAnced test reActor At the InL advanced Unlike large, commercial power reactors, ATR is a low- temperature, low-pressure reactor. A nuclear reactor is basically an elaborate tool to produce power. reactors work by splitting atoms, the basic building blocks of matter, to release large amounts of energy. In commercial power reactors, that energy heats water, which creates steam. the steam turns turbines, generating electricity. What makes the Advanced test reactor, located at the Idaho national

    4. Institute for Advanced Studies

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Video Collaboration » Education Opportunities » Institute for Advanced Studies Institute for Advanced Studies NMC leverages the strengths of three research universities to build joint programs, develop strategic partnerships, provide common organization and facilities. Contact Leader TBD LANL Program Administrator Pam Hundley (505) 663-5453 Email Building regional partnerships in education, leveraging strengths of three research universities The Institute for Advanced Studies (IAS) works with

    5. Advanced Combustion FAQs

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      oxygen production technology, an air separation unit operating a cryogenic distillation process. For further information, see: - Oxy-Combustion - Advanced Combustion...

    6. Advanced Reciprocating Engine Systems

      Broader source: Energy.gov [DOE]

      The Advanced Reciprocating Engine Systems (ARES) program is designed to promote separate but parallel engine development between the major stationary, gaseous fueled engine manufacturers in the...

    7. Advanced Conversion Roadmap Workshop

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      ... Deliverable: Roadmap for public dissemination which will guide Biomass program out-year R&D directions Workshop Objective Advanced Conversion Technology Roadmap Energy ...

    8. Overview | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      APS Overview: Introduction APS Systems Map LINAC Booster Synchrotron Storage Ring Insertion Devices Experiment Hall LOMs & Beamlines Overview of the APS The Advanced Photon Source...

    9. Advanced Studies Institute

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      this professional development experience to help aspiring young researchers advance and excel in the next stage of their careers in academia or at a national laboratory. For...

    10. Beamlines | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Beamlines Beamlines Home Beamlines Directory Research Techniques Sectors Directory Status and Schedule Safety and Training Beamlines The Advanced Photon Source consists of 34...

    11. Advanced Rooftop Unit Control

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced-Rooftop-Unit-Control Sign In About | Careers | Contact | Investors | bpa.gov Search Policy & Reporting Expand Policy & Reporting EE Sectors Expand EE Sectors...

    12. Computing at JLab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Jefferson Lab Jefferson Lab Home Search Contact JLab Computing at JLab ---------------------- Accelerator Controls CAD CDEV CODA Computer Center High Performance Computing Scientific Computing JLab Computer Silo maintained by webmaster@jlab.org

    13. Advanced Methods for Manufacturing

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Scientists Computational Resources and Multi- Physics Modeling & Simulation Knowledge & ... Manufacturing Methods R&D Test Bed ... loops, process development...

    14. Advanced uranium enrichment technologies

      SciTech Connect (OSTI)

      Merriman, R.

      1983-03-10

      The Advanced Gas Centrifuge and Atomic Vapor Laser Isotope Separation methods are described. The status and potential of the technologies are summarized, the programs outlined, and the economic incentives are noted. How the advanced technologies, once demonstrated, might be deployed so that SWV costs in the 1990s can be significantly reduced is described.

    15. DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee

      Office of Scientific and Technical Information (OSTI)

      Letter (Program Document) | SciTech Connect Advisory Committee (ASCAC): Workforce Subcommittee Letter Citation Details In-Document Search Title: DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter Simulation and computing are essential to much of the research conducted at the DOE national laboratories. Experts in the ASCR ÂŹrelevant Computing Sciences, which encompass a range of disciplines including Computer Science, Applied Mathematics, Statistics and domain

    16. New partnership uses advanced computer science modeling to address...

      National Nuclear Security Administration (NNSA)

      This Site Budget IG Web Policy Privacy No Fear Act Accessibility FOIA Sitemap Federal Government The White House DOE.gov USA.gov Jobs Apply for Our Jobs Our Jobs Working at NNSA...

    17. Supporting Advanced Scientific Computing Research * Basic Energy Sciences * Biological

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Energy S ciences N etwork Enabling Virtual Science June 9, 2009 Steve C o/er steve@es.net Dept. H ead, E nergy S ciences N etwork Lawrence B erkeley N aDonal L ab The E nergy S ciences N etwork The D epartment o f E nergy's O ffice o f S cience i s o ne o f t he l argest s upporters o f basic r esearch i n t he p hysical s ciences i n t he U .S. * Directly s upports t he r esearch o f s ome 1 5,000 s cienDsts, p ostdocs a nd g raduate s tudents at D OE l aboratories, u niversiDes, o ther F

    18. Supporting Advanced Scientific Computing Research * Basic Energy Sciences * Biological

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ESCC,
Salt
Lake
City
 Steve
Co6er,
Dept
Head

 steve@es.net

 Lawrence
Berkeley
NaDonal
Lab
 Outline
 * Staff
Updates
 * Network
Update
 * Advanced
Networking
IniDaDve
 * ESnet
Projects
 * Infrastructure
Projects
 * Staff
Projects
 Staff
Update
 New
hires:
 * Hing
Chow:

Project
Manager
(ANI)
 * Chris
Tracy:

Network
/
SoVware
Engineer
(ANI)
 * Andy
Lake:

SoVware
Engineer
(ANI)
 *

    19. NERSC Role in Advanced Scientific Computing Research Katherine...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      using CHIMERA. NISE: NERSC Initiative for Scientific Exploration * NERSC Users: Open process for 10% NERSC time * Modeled after original INCITE program from NERSC: -...

    20. Supercomputing and Advanced Computing at the National Labs

      Broader source: Energy.gov (indexed) [DOE]

      Supercomputing Power to Accelerate Fossil Energy Research http:energy.govarticleslab-breakthrough-supercomputing-power-accelerate-fossil-energy-research

    1. Computing Resources | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Resources Mira Cetus and Vesta Visualization Cluster Data and Networking Software JLSE Computing Resources Theory and Computing Sciences Building Argonne's Theory and Computing Sciences (TCS) building houses a wide variety of computing systems including some of the most powerful supercomputers in the world. The facility has 25,000 square feet of raised computer floor space and a pair of redundant 20 megavolt amperes electrical feeds from a 90 megawatt substation. The building also

    2. Advanced System for Process Engineering

      Energy Science and Technology Software Center (OSTI)

      1992-02-01

      ASPEN (Advanced System for Process Engineering) is a state of the art process simulator and economic evaluation package which was designed for use in engineering fossil energy conversion processes. ASPEN can represent multiphase streams including solids, and handle complex substances such as coal. The system can perform steady state material and energy balances, determine equipment size and cost, and carry out preliminary economic evaluations. It is supported by a comprehensive physical property system for computationmore » of major properties such as enthalpy, entropy, free energy, molar volume, equilibrium ratio, fugacity coefficient, viscosity, thermal conductivity, and diffusion coefficient for specified phase conditions; vapor, liquid, or solid. The properties may be computed for pure components, mixtures, or components in a mixture, as appropriate. The ASPEN Input Language is oriented towards process engineers.« less

    3. Advanced Technology System Scheduling Governance Model

      SciTech Connect (OSTI)

      Ang, Jim; Carnes, Brian; Hoang, Thuc; Vigil, Manuel

      2015-06-11

      In the fall of 2005, the Advanced Simulation and Computing (ASC) Program appointed a team to formulate a governance model for allocating resources and scheduling the stockpile stewardship workload on ASC capability systems. This update to the original document takes into account the new technical challenges and roles for advanced technology (AT) systems and the new ASC Program workload categories that must be supported. The goal of this updated model is to effectively allocate and schedule AT computing resources among all three National Nuclear Security Administration (NNSA) laboratories for weapons deliverables that merit priority on this class of resource. The process outlined below describes how proposed work can be evaluated and approved for resource allocations while preserving high effective utilization of the systems. This approach will provide the broadest possible benefit to the Stockpile Stewardship Program (SSP).

    4. Applications in Data-Intensive Computing

      SciTech Connect (OSTI)

      Shah, Anuj R.; Adkins, Joshua N.; Baxter, Douglas J.; Cannon, William R.; Chavarría-Miranda, Daniel; Choudhury, Sutanay; Gorton, Ian; Gracio, Deborah K.; Halter, Todd D.; Jaitly, Navdeep; Johnson, John R.; Kouzes, Richard T.; Macduff, Matt C.; Marquez, Andres; Monroe, Matthew E.; Oehmen, Christopher S.; Pike, William A.; Scherrer, Chad; Villa, Oreste; Webb-Robertson, Bobbie-Jo M.; Whitney, Paul D.; Zuljevic, Nino

      2010-04-01

      This book chapter, to be published in Advances in Computers, Volume 78, in 2010 describes applications of data intensive computing (DIC). This is an invited chapter resulting from a previous publication on DIC. This work summarizes efforts coming out of the PNNL's Data Intensive Computing Initiative. Advances in technology have empowered individuals with the ability to generate digital content with mouse clicks and voice commands. Digital pictures, emails, text messages, home videos, audio, and webpages are common examples of digital content that are generated on a regular basis. Data intensive computing facilitates human understanding of complex problems. Data-intensive applications provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements through the development of new classes of software, algorithms, and hardware.

    5. Computer Architecture Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      User Defined Images Archive APEX Home R & D Exascale Computing CAL Computer Architecture Lab The goal of the Computer Architecture Laboratory (CAL) is engage in...

    6. Advanced Vehicles Manufacturing Projects | Department of Energy

      Energy Savers [EERE]

      Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects Advanced Vehicles Manufacturing Projects DOE-LPO_ATVM-Economic-Growth_Thumbnail.png DRIVING ECONOMIC GROWTH: ADVANCED TECHNOLOGY VEHICLES

    7. Introducing Aurora | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Aurora Announcement Press Conference: DOE announces next-gen supercomputer Aurora to be built at Argonne Introducing Aurora Author: ALCF staff April 9, 2015 Facebook Twitter LinkedIn Google E-mail Printer-friendly version Today, U.S. Department of Energy Under Secretary for Science and Energy Lynn Orr announced two new High Performance Computing (HPC) awards that continue to advance U.S. leadership in developing exascale computing. The announcement was made alongside leaders from Argonne

    8. ALCF Acknowledgment Policy | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ALCF Acknowledgment Policy As a U.S. Department of Energy user facility dedicated to the advancement of scientific discoveries, the Argonne Leadership Computing Facility (ALCF) provides unique computing resources and expertise to a user community that is bound by certain policies designed to acknowledge and promote the work of others as well as the resources used to accomplish this work. The ALCF requests your continued compliance with the terms of your program or discretionary award,

    9. Staff Directory | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      About Overview History Staff Directory Our Teams User Advisory Council Careers Margaret Butler Fellowship Visiting Us Contact Us Staff Directory Yury Alekseev Yuri Alexeev Assistant Computational Scientist Catalyst 630-252-0157 yuri@alcf.anl.gov Bill Allcock Bill Allcock Manager, Advanced Integration Group Leadership, AIG 630-252-7573 allcock@anl.gov Ben Allen HPC Systems Administration Specialist Systems 630-252-0554 allen@alcf.anl.gov Ramesh Balakrishnan Computational Scientist Catalyst

    10. COMPUTER SCIENCE RESEARCH MELISSES: Liquid Services for Scalable Multithreaded and Multicore Execution on Emerging Supercomputers

      SciTech Connect (OSTI)

      Dimitrios S. Nikolopoulos

      2008-08-10

      In this final report, we summarize the contributions made through support from the DOE ECPI award to research and training in advanced computing systems.

    11. Large Scale Production Computing and Storage Requirements for Basic Energy

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Sciences: Target 2017 Large Scale Production Computing and Storage Requirements for Basic Energy Sciences: Target 2017 BES-Montage.png This is an invitation-only review organized by the Department of Energy's Office of Basic Energy Sciences (BES), Office of Advanced Scientific Computing Research (ASCR), and the National Energy Research Scientific Computing Center (NERSC). The goal is to determine production high-performance computing, storage, and services that will be needed for BES to

    12. Large Scale Production Computing and Storage Requirements for Fusion Energy

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Sciences: Target 2017 Large Scale Production Computing and Storage Requirements for Fusion Energy Sciences: Target 2017 The NERSC Program Requirements Review "Large Scale Production Computing and Storage Requirements for Fusion Energy Sciences" is organized by the Department of Energy's Office of Fusion Energy Sciences (FES), Office of Advanced Scientific Computing Research (ASCR), and the National Energy Research Scientific Computing Center (NERSC). The review's goal is to

    13. Large Scale Production Computing and Storage Requirements for High Energy

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Physics: Target 2017 Large Scale Production Computing and Storage Requirements for High Energy Physics: Target 2017 HEPlogo.jpg The NERSC Program Requirements Review "Large Scale Computing and Storage Requirements for High Energy Physics" is organized by the Department of Energy's Office of High Energy Physics (HEP), Office of Advanced Scientific Computing Research (ASCR), and the National Energy Research Scientific Computing Center (NERSC). The review's goal is to characterize

    14. Impact analysis on a massively parallel computer

      SciTech Connect (OSTI)

      Zacharia, T.; Aramayo, G.A.

      1994-06-01

      Advanced mathematical techniques and computer simulation play a major role in evaluating and enhancing the design of beverage cans, industrial, and transportation containers for improved performance. Numerical models are used to evaluate the impact requirements of containers used by the Department of Energy (DOE) for transporting radioactive materials. Many of these models are highly compute-intensive. An analysis may require several hours of computational time on current supercomputers despite the simplicity of the models being studied. As computer simulations and materials databases grow in complexity, massively parallel computers have become important tools. Massively parallel computational research at the Oak Ridge National Laboratory (ORNL) and its application to the impact analysis of shipping containers is briefly described in this paper.

    15. Advanced Target Effects Modeling

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Target Effects Modeling for Ion Accelerators and other High-Energy-Density Experiments Alice Koniges 1,a , Wangyi Liu 1 , Steven Lidia 1 , Thomas Schenkel 1 , John Barnard...

    16. Advanced Combustion Turbines

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      that will accelerate turbine performance and efficiency beyond current state-of-the-art and reduce the risk to market for novel and advanced turbine-based power cycles....

    17. Advanced Materials Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      SunShot Grand Challenge: Regional Test Centers Advanced Materials Laboratory Home/Tag:Advanced Materials Laboratory - Structures of the zwitterionic coatings synthesized for this study. Permalink Gallery Investigations on Anti-biofouling Zwitterionic Coatings for MHK Is Now in Press Analysis, Capabilities, Energy, News, News & Events, Renewable Energy, Research & Capabilities, Water Power Investigations on Anti-biofouling Zwitterionic Coatings for MHK Is Now in Press Sandia's Marine

    18. Advanced Ultraviolet Spectroradiometer

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Ultraviolet Spectroradiometer A specialized instrument used to measure a portion of the ultraviolet (UV) spectrum was recently installed at the SGP central facility. The instrument, called an advanced UV spectroradiometer, was developed by Dr. Lee Harrison of the State University of New York at Albany and is funded by the United States Department of Agriculture (USDA). The sun emits a vast amount of energy in the form of electro- magnetic radiation. We see some of this energy as visible

    19. Advanced Studies Institute

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Institute » Advanced Studies Institute Science of Signatures Advanced Studies Institute Developing innovative solution strategies for problems that support the forward deployment theme of the Science of Signatures Pillar, and building skills needed for succesful research program development. Contact Institute Director Charles Farrar (505) 665-0860 Email UCSD EI Director Michael Todd (858) 534-5951 Executive Administrator Ellie Vigil (505) 667-2818 Email Administrative Assistant Rebecca Duran

    20. Advanced Optical Technologies

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Optical Technologies The Advanced Optical Components and Technologies program develops, creates and provides critical optical components for laser-based missions at LLNL. Past projects focused on kinoform phase plates for LLNL's Nova laser and on large-area, submicron-pitch holographic diffraction gratings for LLNL's Petawatt (1015 watt) ultrashort-pulse laser. Today, the optical team designs and fabricates a variety of custom diffractive optics for researchers worldwide. Included are

    1. Advanced engineering environment collaboration project.

      SciTech Connect (OSTI)

      Lamph, Jane Ann; Pomplun, Alan R.; Kiba, Grant W.; Dutra, Edward G.; Dankiewicz, Robert J.; Marburger, Scot J.

      2008-12-01

      The Advanced Engineering Environment (AEE) is a model for an engineering design and communications system that will enhance project collaboration throughout the nuclear weapons complex (NWC). Sandia National Laboratories and Parametric Technology Corporation (PTC) worked together on a prototype project to evaluate the suitability of a portion of PTC's Windchill 9.0 suite of data management, design and collaboration tools as the basis for an AEE. The AEE project team implemented Windchill 9.0 development servers in both classified and unclassified domains and used them to test and evaluate the Windchill tool suite relative to the needs of the NWC using weapons project use cases. A primary deliverable was the development of a new real time collaborative desktop design and engineering process using PDMLink (data management tool), Pro/Engineer (mechanical computer aided design tool) and ProductView Lite (visualization tool). Additional project activities included evaluations of PTC's electrical computer aided design, visualization, and engineering calculations applications. This report documents the AEE project work to share information and lessons learned with other NWC sites. It also provides PTC with recommendations for improving their products for NWC applications.

    2. Advanced System for Process Engineering

      Energy Science and Technology Software Center (OSTI)

      1998-09-14

      PRO ASPEN/PC1.0 (Advanced System for Process Engineering) is a state of the art process simulator and economic evaluation package which was designed for use in engineering fossil energy conversion processes and has been ported to run on a PC. PRO ASPEN/PC1.0 can represent multiphase streams including solids, and handle complex substances such as coal. The system can perform steady state material and energy balances, determine equipment size and cost, and carry out preliminary economic evaluations.more » It is supported by a comprehensive physical property system for computation of major properties such as enthalpy, entropy, free energy, molar volume, equilibrium ratio, fugacity coefficient, viscosity, thermal conductivity, and diffusion coefficient for specified phase conditions; vapor, liquid, or solid. The properties may be computed for pure components, mixtures, or components in a mixture, as appropriate. The PRO ASPEN/PC1.0 Input Language is oriented towards process engineers.« less

    3. What Are the Computational Keys to Future Scientific Discoveries?

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      What are the Computational Keys to Future Scientific Discoveries? What Are the Computational Keys to Future Scientific Discoveries? NERSC Develops a Data Intensive Pilot Program to Help Scientists Find Out August 23, 2012 Linda Vu,lvu@lbl.gov, +1 510 495 2402 ALS.jpg Advanced Light Source at the Lawrence Berkeley National Laboratory. (Photo by: Roy Kaltschmidt, Berkeley Lab) A new camera at the hard x-ray tomography beamline of Lawrence Berkeley National Laboratory's (Berkeley Lab's) Advanced

    4. ASCR Leadership Computing Challenge (ALCC) proposals due February 1, 2013

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      (ALCC) proposals due February 1, 2013 ASCR Leadership Computing Challenge (ALCC) proposals due February 1, 2013 January 2, 2013 by Francesca Verdier DOE's ASCR Leadership Computing Challenge (ALCC) program is intended for special situations of interest to the Department's energy mission, with an emphasis on high-risk, high-payoff simulations: Advancing the clean energy agenda. Advancing a robust predictive understanding of the Earth's climate and environmental systems. Responding to natural and

    5. ORISE: Helping to Provide Rare Access to World-Class Computing Resources

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Supercomputing ORISE peer review services helping to advance, provide rare access to world-class computing resources The Oak Ridge Institute for Science Education (ORISE) recognizes that computational capabilities play an integral role in everything from stockpile stewardship and defense intelligence, to climate prediction and manufacturing. It is important to continue to advance high-performance computing, so that scientists can continue to perform mass computing activities at especially high

    6. Conversion Technologies for Advanced Biofuels - Carbohydrates...

      Broader source: Energy.gov (indexed) [DOE]

      Advanced Conversion Roadmap Workshop Workshop on Conversion Technologies for Advanced Biofuels - Carbohydrates Conversion Technologies for Advanced Biofuels - Carbohydrates...

    7. Advanced Vehicle Electrification and Transportation Sector Electrifica...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Vehicle Electrification and Transportation Sector Electrification Plug-in Hybrid (PHEV) Vehicle Technology Advancement and Demonstration Activity Advanced Vehicle...

    8. Fact Sheet: Energy Storage Technology Advancement Partnership...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Technology Advancement Partnership (October 2012) Fact Sheet: Energy Storage Technology Advancement Partnership (October 2012) The Energy Storage Technology Advancement Partnership ...

    9. Advanced Microturbine Systems

      SciTech Connect (OSTI)

      Rosfjord, T; Tredway, W; Chen, A; Mulugeta, J; Bhatia, T

      2008-12-31

      In July 2000, the United Technologies Research Center (UTRC) was one of five recipients of a US Department of Energy contract under the Advanced Microturbine System (AMS) program managed by the Office of Distributed Energy (DE). The AMS program resulted from several government-industry workshops that recognized that microturbine systems could play an important role in improving customer choice and value for electrical power. That is, the group believed that electrical power could be delivered to customers more efficiently and reliably than the grid if an effective distributed energy strategy was followed. Further, the production of this distributed power would be accomplished with less undesirable pollutants of nitric oxides (NOx) unburned hydrocarbons (UHC), and carbon monoxide (CO). In 2000, the electrical grid delivered energy to US customers at a national average of approximately 32% efficiency. This value reflects a wide range of powerplants, but is dominated by older, coal burning stations that provide approximately 50% of US electrical power. The grid efficiency is also affected by transmission and distribution (T&D) line losses that can be significant during peak power usage. In some locations this loss is estimated to be 15%. Load pockets can also be so constrained that sufficient power cannot be transmitted without requiring the installation of new wires. New T&D can be very expensive and challenging as it is often required in populated regions that do not want above ground wires. While historically grid reliability has satisfied most customers, increasing electronic transactions and the computer-controlled processes of the 'digital economy' demand higher reliability. For them, power outages can be very costly because of transaction, work-in-progress, or perishable commodity losses. Powerplants that produce the grid electrical power emit significant levels of undesirable NOx, UHC, and CO pollutants. The level of emission is quoted as either a technology metric or a system-output metric. A common form for the technology metric is in the units of PPM {at} 15% O2. In this case the metric reflects the molar fraction of the pollutant in the powerplant exhaust when corrected to a standard exhaust condition as containing 15% (molar) oxygen, assuring that the PPM concentrations are not altered by subsequent air addition or dilution. Since fuel combustion consumes oxygen, the output oxygen reference is equivalent to a fuel input reference. Hence, this technology metric reflects the moles of pollutant per mole of fuel input, but not the useful output of the powerplant-i.e. the power. The system-output metric does embrace the useful output and is often termed an output-based metric. A common form for the output-based metric is in the units of lb/MWh. This is a system metric relating the pounds of pollutant to output energy (e.g., MWh) of the powerplant.

    10. Advanced Distillation Final Report

      SciTech Connect (OSTI)

      Maddalena Fanelli; Ravi Arora; Annalee Tonkovich; Jennifer Marco; Ed Rode

      2010-03-24

      The Advanced Distillation project was concluded on December 31, 2009. This U.S. Department of Energy (DOE) funded project was completed successfully and within budget during a timeline approved by DOE project managers, which included a one year extension to the initial ending date. The subject technology, Microchannel Process Technology (MPT) distillation, was expected to provide both capital and operating cost savings compared to conventional distillation technology. With efforts from Velocys and its project partners, MPT distillation was successfully demonstrated at a laboratory scale and its energy savings potential was calculated. While many objectives established at the beginning of the project were met, the project was only partially successful. At the conclusion, it appears that MPT distillation is not a good fit for the targeted separation of ethane and ethylene in large-scale ethylene production facilities, as greater advantages were seen for smaller scale distillations. Early in the project, work involved flowsheet analyses to discern the economic viability of ethane-ethylene MPT distillation and develop strategies for maximizing its impact on the economics of the process. This study confirmed that through modification to standard operating processes, MPT can enable net energy savings in excess of 20%. This advantage was used by ABB Lumus to determine the potential impact of MPT distillation on the ethane-ethylene market. The study indicated that a substantial market exists if the energy saving could be realized and if installed capital cost of MPT distillation was on par or less than conventional technology. Unfortunately, it was determined that the large number of MPT distillation units needed to perform ethane-ethylene separation for world-scale ethylene facilities, makes the targeted separation a poor fit for the technology in this application at the current state of manufacturing costs. Over the course of the project, distillation experiments were performed with the targeted mixture, ethane-ethylene, as well as with analogous low relative volatility systems: cyclohexane-hexane and cyclopentane-pentane. Devices and test stands were specifically designed for these efforts. Development progressed from experiments and models considering sections of a full scale device to the design, fabrication, and operation of a single-channel distillation unit with integrated heat transfer. Throughout the project, analytical and numerical models and Computational Fluid Dynamics (CFD) simulations were validated with experiments in the process of developing this platform technology. Experimental trials demonstrated steady and controllable distillation for a variety of process conditions. Values of Height-to-an-Equivalent Theoretical Plate (HETP) ranging from less than 0.5 inch to a few inches were experimentally proven, demonstrating a ten-fold performance enhancement relative to conventional distillation. This improvement, while substantial, is not sufficient for MPT distillation to displace very large scale distillation trains. Fortunately, parallel efforts in the area of business development have yielded other applications for MPT distillation, including smaller scale separations that benefit from the flowsheet flexibility offered by the technology. Talks with multiple potential partners are underway. Their outcome will also help determine the path ahead for MPT distillation.

    11. Terascale Simulation Tolls and Technologies

      Energy Science and Technology Software Center (OSTI)

      2006-11-01

      The Terascale Simulation Tools and Technologies (TSTT) center is a collaboration between several universities and DOE laboratories, and is funded by the DOE Scientific Discovery for Advanced Computing (SciDAC) program. The primary objective of the (TSTT) center is to develop technologies taht enable application scientists to easily use multiple mesh and discretization strageties within a single simulation on terascale computeres. This is accomplished through the development of common functional interfaces to geometry, mesh, and othermore » simulation data. This package is Sandia's implementation of these interfaces.« less

    12. Quantum Simulations of Materials and Nanostructures (Q-SIMAN). Final Report

      SciTech Connect (OSTI)

      Galli, Giulia; Bai, Zhaojun; Ceperley, David; Cai, Wei; Gygi, Francois; Marzari, Nicola; Pickett, Warren; Spaldin, Nicola; Fattebert, Jean-Luc; Schwegler, Eric

      2015-09-16

      The focus of this SciDAC SAP (Scientific Application) is the development and use of quantum simulations techniques to understand materials and nanostructures at the microscopic level, predict their physical and chemical properties, and eventually design integrated materials with targeted properties. (Here the word ‘materials’ is used in a broad sense and it encompasses different thermodynamic states of matter, including solid, liquids and nanostructures.) Therefore our overarching goal is to enable scientific discoveries in the field of condensed matter and advanced materials through high performance computing.

    13. Advanced servomanipulator development

      SciTech Connect (OSTI)

      Kuban, D.P.

      1985-01-01

      The Advanced Servomanipulator (ASM) System consists of three major components: the ASM slave, the dual arm master controller (DAMC) or master, and the control system. The ASM is remotely maintainable force-reflecting servomanipulator developed at the Oak Ridge National Laboratory (ORNL) as part of the Consolidated Fuel Reprocessing Program. This new manipulator addresses requirements of advanced nuclear fuel reprocessing with emphasis on force reflection, remote maintainability, reliability, radiation tolerance, and corrosion resistance. The advanced servomanipulator is uniquely subdivided into remotely replaceable modules which will permit in situ manipulator repair by spare module replacement. Manipulator modularization and increased reliability are accomplished through a force transmission system that uses gears and torque tubes. Digital control algorithms and mechanical precision are used to offset the increased backlash, friction, and inertia resulting from the gear drives. This results in the first remotely maintainable force-reflecting servomanipulator in the world.

    14. Measurement and modeling of advanced coal conversion processes

      SciTech Connect (OSTI)

      Solomon, P.R.; Serio, M.A.; Hamblen, D.G.; Smoot, L.D.; Brewster, B.S. Brigham Young Univ., Provo, UT )

      1991-01-01

      The overall objective of this program is the development of predictive capability for the design, scale up, simulation, control and feedstock evaluation in advanced coal conversion devices. This program will merge significant advances made in measuring and quantitatively describing the mechanisms in coal conversion behavior. Comprehensive computer codes for mechanistic modeling of entrained-bed gasification. Additional capabilities in predicting pollutant formation will be implemented and the technology will be expanded to fixed-bed reactors.

    15. Advanced Simulation Capability of Environmental Management | Department of

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Energy Advanced Simulation Capability of Environmental Management Advanced Simulation Capability of Environmental Management The mission of ASCEM is to develop a modular and extensible open-source, high performance computing (HPC) modeling system for multiphase, multicomponent, multiscale subsurface flow and contaminant transport, and source-term degradation, enabling robust and standardized future performance and risk assessments for EM cleanup and closure activities. For more

    16. Preface: Special Topic on Advances in Density Functional Theory

      SciTech Connect (OSTI)

      Yang, Weitao

      2014-05-14

      This Special Topic Issue on the Advances in Density Functional Theory, published as a celebration of the fifty years of density functional theory, contains a retrospective article, a perspective article, and a collection of original research articles that showcase recent theoretical advances in the field. It provides a timely discussion reflecting a cross section of our understanding, and the theoretical and computational developments, which have significant implications in broad areas of sciences and engineering.

    17. An Arbitrary Precision Computation Package

      Energy Science and Technology Software Center (OSTI)

      2003-06-14

      This package permits a scientist to perform computations using an arbitrarily high level of numeric precision (the equivalent of hundreds or even thousands of digits), by making only minor changes to conventional C++ or Fortran-90 soruce code. This software takes advantage of certain properties of IEEE floating-point arithmetic, together with advanced numeric algorithms, custom data types and operator overloading. Also included in this package is the "Experimental Mathematician's Toolkit", which incorporates many of these facilitiesmore » into an easy-to-use interactive program.« less

    18. Advanced Containment System

      DOE Patents [OSTI]

      Kostelnik, Kevin M. (Idaho Falls, ID); Kawamura, Hideki (Tokyo, JP); Richardson, John G. (Idaho Falls, ID); Noda, Masaru (Tokyo, JP)

      2005-02-08

      An advanced containment system for containing buried waste and associated leachate. The advanced containment system comprises a plurality of casing sections with each casing section interlocked to an adjacent casing section. Each casing section includes a complementary interlocking structure that interlocks with the complementary interlocking structure on an adjacent casing section. A barrier filler substantially fills the casing sections and may substantially fill the spaces of the complementary interlocking structure to form a substantially impermeable barrier. Some of the casing sections may include sensors so that the casing sections and the zone of interest may be remotely monitored after the casing sections are emplaced in the ground.

    19. Fermilab | Science at Fermilab | Computing | Grid Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      In the early 2000s, members of Fermilab's Computing Division looked ahead to experiments like those at the Large Hadron Collider, which would collect more data than any computing ...

    20. Mira Computational Readiness Assessment | Argonne Leadership Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Facility INCITE Program 5 Checks & 5 Tips for INCITE Mira Computational Readiness Assessment ALCC Program Director's Discretionary (DD) Program Early Science Program INCITE 2016 Projects ALCC 2015 Projects ESP Projects View All Projects Publications ALCF Tech Reports Industry Collaborations Mira Computational Readiness Assessment Assess your project's computational readiness for Mira A review of the following computational readiness points in relation to scaling, porting, I/O, memory

    1. Advanced CSP Systems Analysis

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and tested a prototype solid particle receiver. Tests were performed with concentrated solar power ranging from approximately 1.5 -2.6 MW. Computational fluid dynamics models were...

    2. Advanced Test Reactor Tour

      ScienceCinema (OSTI)

      Miley, Don

      2013-05-28

      The Advanced Test Reactor at Idaho National Laboratory is the foremost nuclear materials test reactor in the world. This virtual tour describes the reactor, how experiments are conducted, and how spent nuclear fuel is handled and stored. For more information about INL research, visit http://www.facebook.com/idahonationallaboratory.

    3. Advanced Bioeconomy Feedstocks Conference

      Broader source: Energy.gov [DOE]

      This year’s Advanced Bioeconomy Feedstocks Conference will be held from June 9–10, 2015 in New Orleans, Louisiana. The conference will gather supply chain leaders of the bioeconomy to examine supply chain technologies, business models, and partnerships. BETO Director Jonathan Male and Technology Manager Steve Thomas will be speaking at the conference.

    4. Metallic fuels: The EBR-II legacy and recent advances

      SciTech Connect (OSTI)

      Douglas L. Porter; Steven L. Hayes; J. Rory Kennedy

      2012-09-01

      Experimental Breeder Reactor – II (EBR-II) metallic fuel was qualified for high burnup to approximately 10 atomic per cent. Subsequently, the electrometallurgical treatment of this fuel was demonstrated. Advanced metallic fuels are now investigated for increased performance, including ultra-high burnup and actinide burning. Advances include additives to mitigate the fuel/cladding chemical interaction and uranium alloys that combine Mo, Ti and Zr to improve alloy performance. The impacts of the advances—on fabrication, waste streams, electrorefining, etc.—are found to be minimal and beneficial. Owing to extensive research literature and computational methods, only a modest effort is required to complete their development.

    5. Advanced reactor safety program. Stakeholder interaction and feedback

      SciTech Connect (OSTI)

      Szilard, Ronaldo H.; Smith, Curtis L.

      2014-08-01

      In the Spring of 2013, we began discussions with our industry stakeholders on how to upgrade our safety analysis capabilities. The focus of these improvements would primarily be on advanced safety analysis capabilities that could help the nuclear industry analyze, understand, and better predict complex safety problems. The current environment in the DOE complex is such that recent successes in high performance computer modeling could lead the nuclear industry to benefit from these advances, as long as an effort to translate these advances into realistic applications is made. Upgrading the nuclear industry modeling analysis capabilities is a significant effort that would require substantial participation and coordination from all industry segments: research, engineering, vendors, and operations. We focus here on interactions with industry stakeholders to develop sound advanced safety analysis applications propositions that could have a positive impact on industry long term operation, hence advancing the state of nuclear safety.

    6. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege of being a summer student at CERN.3. Opportunities for gLite in finance and related industriesAdam Vile, Head of Grid, HPC and Technical Computing, Excelian Ltd.gLite, the Grid software developed by the EGEE project, has been exceedingly successful as an enabling infrastructure, and has been a massive success in bringing together scientific and technical communities to provide the compute power to address previously incomputable problems. Not so in the finance industry. In its current form gLite would be a business disabler. There are other middleware tools that solve the finance communities compute problems much better. Things are moving on, however. There are moves afoot in the open source community to evolve the technology to address other, more sophisticated needs such as utility and interactive computing. In this talk, I will describe how Excelian is providing Grid consultancy services for the finance community and how, through its relationship to the EGEE project, Excelian is helping to identify and exploit opportunities as the research and business worlds converge. Because of the strong third party presence in the finance industry, such opportunities are few and far between, but they are there, especially as we expand sideways into related verticals such as the smaller hedge funds and energy companies. This talk will give an overview of the barriers to adoption of gLite in the finance industry and highlight some of the opportunities offered in this and related industries as the ideas around Grid mature. Speaker Bio: Dr Adam Vile is a senior consultant and head of the Grid and HPC practice at Excelian, a consultancy that focuses on financial markets professional services. He has spent many years in investment banking, as a developer, project manager and architect in both front and back office. Before joining Excelian he was senior Grid and HPC architect at Barclays Capital. Prior to joining investment banking, Adam spent a number of years lecturing in IT and mathematics at a UK University and maintains links with academia through lectures, research and through validation and steering of postgraduate courses. He is a chartered mathematician and was the conference chair of the Institute of Mathematics and its Applications first conference in computational Finance.4. From Monte Carlo to Wall Street Daniel Egloff, Head of Financial Engineering Computing Unit, Zürich Cantonal Bank High performance computing techniques provide new means to solve computationally hard problems in the financial service industry. First I consider Monte Carlo simulation and illustrate how it can be used to implement a sophisticated credit risk management and economic capital framework. From a HPC perspective, basic Monte Carlo simulation is embarrassingly parallel and can be implemented efficiently on distributed memory clusters. Additional difficulties arise for adaptive variance reduction schemes, if the information content in a sample is very small, and if the amount of simulated date becomes huge such that incremental processing algorithms are indispensable. We discuss the business value of an advanced credit risk quantification which is particularly compelling in these days. While Monte Carlo simulation is a very versatile tool it is not always the preferred solution for the pricing of complex products like multi asset options, structured products, or credit derivatives. As a second application I show how operator methods can be used to develop a pricing framework. The scalability of operator methods relies heavily on optimized dense matrix-matrix multiplications and requires specialized BLAS level-3 implementations provided by specialized FPGA or GPU boards. Speaker Bio: Daniel Egloff studied mathematics, theoretical physics, and computer science at the University of Zurich and the ETH Zurich. He holds a PhD in Mathematics from University of Fribourg, Switzerland. After his PhD he started to work for a large Swiss insurance company in the area of asset and liability management. He continued his professional career in the consulting industry. At KPMG and Arthur Andersen he consulted international clients and implemented quantitative risk management solutions for financial institutions and insurance companies. In 2002 he joined Zurich Cantonal Bank. He was assigned to develop and implement credit portfolio risk and economic capital methodologies. He built up a competence center for high performance and cluster computing. Currently, Daniel Egloff is heading the Financial Computing unit in the ZKB Financial Engineering division. He and his team is engineering and operating high performance cluster applications for computationally intensive problems in financial risk management.

    7. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege of being a summer student at CERN.3. Opportunities for gLite in finance and related industriesAdam Vile, Head of Grid, HPC and Technical Computing, Excelian Ltd.gLite, the Grid software developed by the EGEE project, has been exceedingly successful as an enabling infrastructure, and has been a massive success in bringing together scientific and technical communities to provide the compute power to address previously incomputable problems. Not so in the finance industry. In its current form gLite would be a business disabler. There are other middleware tools that solve the finance communities compute problems much better. Things are moving on, however. There are moves afoot in the open source community to evolve the technology to address other, more sophisticated needs such as utility and interactive computing. In this talk, I will describe how Excelian is providing Grid consultancy services for the finance community and how, through its relationship to the EGEE project, Excelian is helping to identify and exploit opportunities as the research and business worlds converge. Because of the strong third party presence in the finance industry, such opportunities are few and far between, but they are there, especially as we expand sideways into related verticals such as the smaller hedge funds and energy companies. This talk will give an overview of the barriers to adoption of gLite in the finance industry and highlight some of the opportunities offered in this and related industries as the ideas around Grid mature. Speaker Bio: Dr Adam Vile is a senior consultant and head of the Grid and HPC practice at Excelian, a consultancy that focuses on financial markets professional services. He has spent many years in investment banking, as a developer, project manager and architect in both front and back office. Before joining Excelian he was senior Grid and HPC architect at Barclays Capital. Prior to joining investment banking, Adam spent a number of years lecturing in IT and mathematics at a UK University and maintains links with academia through lectures, research and through validation and steering of postgraduate courses. He is a chartered mathematician and was the conference chair of the Institute of Mathematics and its Applications first conference in computational Finance.4. From Monte Carlo to Wall Street Daniel Egloff, Head of Financial Engineering Computing Unit, ZĂŒrich Cantonal Bank High performance computing techniques provide new means to solve computationally hard problems in the financial service industry. First I consider Monte Carlo simulation and illustrate how it can be used to implement a sophisticated credit risk management and economic capital framework. From a HPC perspective, basic Monte Carlo simulation is embarrassingly parallel and can be implemented efficiently on distributed memory clusters. Additional difficulties arise for adaptive variance reduction schemes, if the information content in a sample is very small, and if the amount of simulated date becomes huge such that incremental processing algorithms are indispensable. We discuss the business value of an advanced credit risk quantification which is particularly compelling in these days. While Monte Carlo simulation is a very versatile tool it is not always the preferred solution for the pricing of complex products like multi asset options, structured products, or credit derivatives. As a second application I show how operator methods can be used to develop a pricing framework. The scalability of operator methods relies heavily on optimized dense matrix-matrix multiplications and requires specialized BLAS level-3 implementations provided by specialized FPGA or GPU boards. Speaker Bio: Daniel Egloff studied mathematics, theoretical physics, and computer science at the University of Zurich and the ETH Zurich. He holds a PhD in Mathematics from University of Fribourg, Switzerland. After his PhD he started to work for a large Swiss insurance company in the area of asset and liability management. He continued his professional career in the consulting industry. At KPMG and Arthur Andersen he consulted international clients and implemented quantitative risk management solutions for financial institutions and insurance companies. In 2002 he joined Zurich Cantonal Bank. He was assigned to develop and implement credit portfolio risk and economic capital methodologies. He built up a competence center for high performance and cluster computing. Currently, Daniel Egloff is heading the Financial Computing unit in the ZKB Financial Engineering division. He and his team is engineering and operating high performance cluster applications for computationally intensive problems in financial risk management.

    8. Computing for Finance

      SciTech Connect (OSTI)

      2010-03-24

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing – from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege of being a summer student at CERN.3. Opportunities for gLite in finance and related industriesAdam Vile, Head of Grid, HPC and Technical Computing, Excelian Ltd.gLite, the Grid software developed by the EGEE project, has been exceedingly successful as an enabling infrastructure, and has been a massive success in bringing together scientific and technical communities to provide the compute power to address previously incomputable problems. Not so in the finance industry. In its current form gLite would be a business disabler. There are other middleware tools that solve the finance communities compute problems much better. Things are moving on, however. There are moves afoot in the open source community to evolve the technology to address other, more sophisticated needs such as utility and interactive computing. In this talk, I will describe how Excelian is providing Grid consultancy services for the finance community and how, through its relationship to the EGEE project, Excelian is helping to identify and exploit opportunities as the research and business worlds converge. Because of the strong third party presence in the finance industry, such opportunities are few and far between, but they are there, especially as we expand sideways into related verticals such as the smaller hedge funds and energy companies. This talk will give an overview of the barriers to adoption of gLite in the finance industry and highlight some of the opportunities offered in this and related industries as the ideas around Grid mature. Speaker Bio: Dr Adam Vile is a senior consultant and head of the Grid and HPC practice at Excelian, a consultancy that focuses on financial markets professional services. He has spent many years in investment banking, as a developer, project manager and architect in both front and back office. Before joining Excelian he was senior Grid and HPC architect at Barclays Capital. Prior to joining investment banking, Adam spent a number of years lecturing in IT and mathematics at a UK University and maintains links with academia through lectures, research and through validation and steering of postgraduate courses. He is a chartered mathematician and was the conference chair of the Institute of Mathematics and its Applications first conference in computational Finance.4. From Monte Carlo to Wall Street Daniel Egloff, Head of Financial Engineering Computing Unit, ZĂŒrich Cantonal Bank High performance computing techniques provide new means to solve computationally hard problems in the financial service industry. First I consider Monte Carlo simulation and illustrate how it can be used to implement a sophisticated credit risk management and economic capital framework. From a HPC perspective, basic Monte Carlo simulation is embarrassingly parallel and can be implemented efficiently on distributed memory clusters. Additional difficulties arise for adaptive variance reduction schemes, if the information content in a sample is very small, and if the amount of simulated date becomes huge such that incremental processing algorithms are indispensable. We discuss the business value of an advanced credit risk quantification which is particularly compelling in these days. While Monte Carlo simulation is a very versatile tool it is not always the preferred solution for the pricing of complex products like multi asset options, structured products, or credit derivatives. As a second application I show how operator methods can be used to develop a pricing framework. The scalability of operator methods relies heavily on optimized dense matrix-matrix multiplications and requires specialized BLAS level-3 implementations provided by specialized FPGA or GPU boards. Speaker Bio: Daniel Egloff studied mathematics, theoretical physics, and computer science at the University of Zurich and the ETH Zurich. He holds a PhD in Mathematics from University of Fribourg, Switzerland. After his PhD he started to work for a large Swiss insurance company in the area of asset and liability management. He continued his professional career in the consulting industry. At KPMG and Arthur Andersen he consulted international clients and implemented quantitative risk management solutions for financial institutions and insurance companies. In 2002 he joined Zurich Cantonal Bank. He was assigned to develop and implement credit portfolio risk and economic capital methodologies. He built up a competence center for high performance and cluster computing. Currently, Daniel Egloff is heading the Financial Computing unit in the ZKB Financial Engineering division. He and his team is engineering and operating high performance cluster applications for computationally intensive problems in financial risk management.

    9. Sandia Energy - Computations

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computations Home Transportation Energy Predictive Simulation of Engines Reacting Flow Applied Math & Software Computations ComputationsAshley Otero2015-10-30T02:18:51+00:00...

    10. The Magellan Final Report on Cloud Computing

      SciTech Connect (OSTI)

      ,; Coghlan, Susan; Yelick, Katherine

      2011-12-21

      The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.

    11. Advanced Reactor Technologies | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Nuclear Reactor Technologies » Advanced Reactor Technologies Advanced Reactor Technologies Advanced Reactor Technologies Advanced Reactor Technologies The Office of Advanced Reactor Technologies (ART) sponsors research, development and deployment (RD&D) activities through its Next Generation Nuclear Plant (NGNP), Advanced Reactor Concepts (ARC), and Advanced Small Modular Reactor (aSMR) programs to promote safety, technical, economical, and environmental advancements of innovative

    12. Nicholas J. Wright! Advanced Technologies Group Lead NERSC Initiative:

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nicholas J. Wright! Advanced Technologies Group Lead NERSC Initiative: Preparing Applications for Exascale --- 1 --- NERSC U ser G roup M ee0ng February 1 2. 2 013 * Technology disruption is underway at the processor and memory level. Computing challenges include: - Energy efficiency - Concurrency - Data movement - Programmability - Resilience * We can only meet these challenges through both hardware and software innovation - Rewrite application codes - Try to influence computer industry 2

    13. COLLOQUIUM: Advanced Simulation for Technology Innovation and Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Discovery | Princeton Plasma Physics Lab 27, 2015, 2:00pm to 3:30pm Colloquia MBG Auditorium COLLOQUIUM: Advanced Simulation for Technology Innovation and Science Discovery Mr. Scott Stanton ANSYS, Inc. I will give an overview of the simulation technologies being developed by ANSYS, the largest provider of simulation software. This overview will include computational fluid dynamics, structural mechanics and computational electromagnetic field analysis. I will then discuss how these solvers

    14. Computer hardware fault administration

      DOE Patents [OSTI]

      Archer, Charles J. (Rochester, MN); Megerian, Mark G. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

      2010-09-14

      Computer hardware fault administration carried out in a parallel computer, where the parallel computer includes a plurality of compute nodes. The compute nodes are coupled for data communications by at least two independent data communications networks, where each data communications network includes data communications links connected to the compute nodes. Typical embodiments carry out hardware fault administration by identifying a location of a defective link in the first data communications network of the parallel computer and routing communications data around the defective link through the second data communications network of the parallel computer.

    15. Molecular Science Computing | EMSL

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      computational and state-of-the-art experimental tools, providing a cross-disciplinary environment to further research. Additional Information Computing user policies Partners...

    16. Applied & Computational Math

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      & Computational Math - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us ... Twitter Google + Vimeo GovDelivery SlideShare Applied & Computational Math HomeEnergy ...

    17. NERSC Computer Security

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Security NERSC Computer Security NERSC computer security efforts are aimed at protecting NERSC systems and its users' intellectual property from unauthorized access or...

    18. ASCR Leadership Computing Challenge Requests for Time Due February 14

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Requests for Time Due February 14 ASCR Leadership Computing Challenge Requests for Time Due February 14 November 17, 2011 by Francesca Verdier The ASCR Leadership Computing Challenge (ALCC) program is open to scientists from the research community in national laboratories, academia and industry. This program allocates time at NERSC and the Leadership Computing Facilities at Argonne and Oak Ridge. Areas of interest are: Advancing the clean energy agenda. Understanding the environmental impacts of

    19. Large Scale Production Computing and Storage Requirements for Nuclear

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Physics: Target 2017 Large Scale Production Computing and Storage Requirements for Nuclear Physics: Target 2017 NPicon.png This invitation-only review is organized by the Department of Energy's Offices of Nuclear Physics (NP) and Advanced Scientific Computing Research (ASCR) and by NERSC. The goal is to determine production high-performance computing, storage, and services that will be needed for NP to achieve its science goals through 2017. The review brings together DOE Program Managers,

    20. A New Computational Paradigm in Multiscale Simulations: Application to

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Brain Blood Flow | Argonne Leadership Computing Facility A New Computational Paradigm in Multiscale Simulations: Application to Brain Blood Flow Authors: Grinberg, L., Insley, J.A., Morozov, V., Papka, M.E., Karniadakis, G.E., Fedosov, D., Kumaran, K. Interfacing atomistic-based with continuum-based simulation codes is now required in many multiscale physical and biological systems. We present the computational advances that have enabled the first multiscale simulation on 190,740 processors

    1. Advanced Technology Vehicle Testing

      SciTech Connect (OSTI)

      James Francfort

      2004-06-01

      The goal of the U.S. Department of Energy's Advanced Vehicle Testing Activity (AVTA) is to increase the body of knowledge as well as the awareness and acceptance of electric drive and other advanced technology vehicles (ATV). The AVTA accomplishes this goal by testing ATVs on test tracks and dynamometers (Baseline Performance testing), as well as in real-world applications (Fleet and Accelerated Reliability testing and public demonstrations). This enables the AVTA to provide Federal and private fleet managers, as well as other potential ATV users, with accurate and unbiased information on vehicle performance and infrastructure needs so they can make informed decisions about acquiring and operating ATVs. The ATVs currently in testing include vehicles that burn gaseous hydrogen (H2) fuel and hydrogen/CNG (H/CNG) blended fuels in internal combustion engines (ICE), and hybrid electric (HEV), urban electric, and neighborhood electric vehicles. The AVTA is part of DOE's FreedomCAR and Vehicle Technologies Program.

    2. Advanced steel reheat furnace

      SciTech Connect (OSTI)

      Moyeda, D.; Sheldon, M.; Koppang, R.; Lanyi, M.; Li, X.; Eleazer, B.

      1997-10-01

      Energy and Environmental Research Corp. (EER) under a contract from the Department of Energy is pursuing the development and demonstration of an Advanced Steel Reheating Furnace. This paper reports the results of Phase 1, Research, which has evaluated an advanced furnace concept incorporating two proven and commercialized technologies previously applied to other high temperature combustion applications: EER`s gas reburn technology (GR) for post combustion NOx control; and Air Product`s oxy-fuel enrichment air (OEA) for improved flame heat transfer in the heating zones of the furnace. The combined technologies feature greater production throughput with associated furnace efficiency improvements; lowered NOx emissions; and better control over the furnace atmosphere, whether oxidizing or reducing, leading to better control over surface finish.

    3. Advanced Separation Consortium

      SciTech Connect (OSTI)

      2006-01-01

      The Center for Advanced Separation Technologies (CAST) was formed in 2001 under the sponsorship of the US Department of Energy to conduct fundamental research in advanced separation and to develop technologies that can be used to produce coal and minerals in an efficient and environmentally acceptable manner. The CAST consortium consists of seven universities - Virginia Tech, West Virginia University, University of Kentucky, Montana Tech, University of Utah, University of Nevada-Reno, and New Mexico Tech. The consortium brings together a broad range of expertise to solve problems facing the US coal industry and the mining sector in general. At present, a total of 60 research projects are under way. The article outlines some of these, on topics including innovative dewatering technologies, removal of mercury and other impurities, and modelling of the flotation process. 1 photo.

    4. TTU Advanced Doppler Radar

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      TTU Advanced Doppler Radar - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs

    5. Advanced Light Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Light Source - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

    6. Advanced Biofuels Workshop

      Gasoline and Diesel Fuel Update (EIA)

      August 1, 2012 In Attendance U.S. Energy Information Administration 1000 Independence Ave. SW, Room 2E-069 Washington, DC 20585 Adam Sieminski EIA Terry Higgins Hart Downstream Energy Services Peter Ryus RSB Services Foundation Zia Haq DOE Robert Kozak Atlantic Biomass Conversion Leticia Phillips UNICA/Brazillian Sugarecane Industry Assoc. Paul Kamp Leifmark, LLC/Inbicon Biomass Steve Gerber Fiberight Joanne Ivancic Advanced Biofuels USA John G. Cowie Agenda 2020 Technology Alliance Jeff Hazle

    7. Joining of Advanced Thermoplastics

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      3, 2012 Joining of Advanced Thermoplastics Ed Herderick, PhD George Ritter, PhD Applications Engineer Principal Engineer Materials Group EWI 614.688.5111 Sean Flowers eherderick@ewi.org Ultrasonics Group Thermoplastic Composites: Outline * Lighter than metals, tougher than thermosets, can be welded and recycled * Examples of joining approaches * Bio-based composites * Nano-reinforced composites * High temperature thermoplastics Joining of Engineering Thermoplastics MATERIAL * Polyether-ether

    8. Advanced Energy Guides

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Energy Guides Shanti Pless National Renewable Energy Laboratory shanti.pless@nrel.gov 303-384-6365 April 4 2013 2 | Building Technologies Office eere.energy.gov Advanced Energy Design Guides Provide prescriptive energy savings guidance and recommendations by building type and geographic location: * Design packages and strategies to help owners and designers achieve 50% site energy savings over Standard 90.1 * Two series: - 30% savings over 90.1-1999 - 50% savings over 90.1-2004 * Educational

    9. Advanced Feedstock Preprocessing

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      1 | Bioenergy Technologies Office eere.energy.gov 1.2.2.1 Advanced Feedstock Preprocessing March 25, 2015 David N. Thompson Idaho National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Feedstock Interface 2 | Bioenergy Technologies Office Goal Statement * Problem: - Feedstock properties are managed because they have conversion cost impacts - The meaning of "quality" varies with conversion pathway - The process impact of

    10. Advanced Feedstock Supply System

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Feedstock Supply System Erin M Searcy, PhD November 27, 2012 Biomass Feedstock Logistics Energy Efficiency & Renewable Energy eere.energy.gov 2 * Technologies exist to supply biomass for energy production, but they have limits * Cost, quantity, quality * I'll present a potential solution: biomass commoditization Key Point Energy Efficiency & Renewable Energy eere.energy.gov 3 * There are a variety of lignocellulosic biomass sources that could be used for energy production -

    11. Advanced Polymer Processing Facility

      SciTech Connect (OSTI)

      Muenchausen, Ross E.

      2012-07-25

      Some conclusions of this presentation are: (1) Radiation-assisted nanotechnology applications will continue to grow; (2) The APPF will provide a unique focus for radiolytic processing of nanomaterials in support of DOE-DP, other DOE and advanced manufacturing initiatives; (3) {gamma}, X-ray, e-beam and ion beam processing will increasingly be applied for 'green' manufacturing of nanomaterials and nanocomposites; and (4) Biomedical science and engineering may ultimately be the biggest application area for radiation-assisted nanotechnology development.

    12. Advanced Bit Development

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Bit Development - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

    13. Advanced Materials Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Page 2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

    14. Advanced Usage Examples

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Examples Advanced Usage Examples Transferring Data from Batch Jobs Once you have set up your automatic HPSS authentication you can access HPSS within batch scripts. Read More » HSI Shell Script This example shows a batch script containing HSI actions. Read More » PFTP Shell Script This example shows a batch script containing PFTP actions. Read More » HSI Tape Ordering A procedure for generating an ordered list of files to store on HPSS. This allows efficient retrieval of large numbers of

    15. Advanced Light Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Next >> Visitors Access to the ALS Gate Access guest-house Guest House lab-shuttles Lab Shuttles maps-and-directions Maps and Directions Parking Safety Experiment Safety safety-for-staff Safety for Staff In Case of Emergency Resources Acronyms Multimedia Employment staff-intranet Staff Intranet Site Map Contact Digg: ALSBerkeleyLab Facebook Page: 208064938929 Flickr: advancedlightsource Twitter: AdvLightSource YouTube: AdvancedLightSource Recent Science Highlights Manganese

    16. Advanced Nuclear Energy

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nuclear Energy - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

    17. Advanced Critical Advanced Energy Retrofit Education and Training and

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Credentialing - 2014 BTO Peer Review | Department of Energy Critical Advanced Energy Retrofit Education and Training and Credentialing - 2014 BTO Peer Review Advanced Critical Advanced Energy Retrofit Education and Training and Credentialing - 2014 BTO Peer Review Presenter: David Riley, Penn State Targeting professionals, employers, and education program leaders in selected advanced energy retrofit (AER) project fields (including energy auditors, building operators, energy managers, and

    18. Advanced Fuel Cycle Cost Basis

      SciTech Connect (OSTI)

      D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert; E. Schneider

      2008-03-01

      This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 25 cost modules—23 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, transuranic, and high-level waste.

    19. Advanced Fuel Cycle Cost Basis

      SciTech Connect (OSTI)

      D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert

      2007-04-01

      This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 26 cost modules—24 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, and high-level waste.

    20. Advanced Fuel Cycle Cost Basis

      SciTech Connect (OSTI)

      D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert; E. Schneider

      2009-12-01

      This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 25 cost modules—23 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, transuranic, and high-level waste.

    1. Advances in compressible turbulent mixing

      SciTech Connect (OSTI)

      Dannevik, W.P.; Buckingham, A.C.; Leith, C.E.

      1992-01-01

      This volume includes some recent additions to original material prepared for the Princeton International Workshop on the Physics of Compressible Turbulent Mixing, held in 1988. Workshop participants were asked to emphasize the physics of the compressible mixing process rather than measurement techniques or computational methods. Actual experimental results and their meaning were given precedence over discussions of new diagnostic developments. Theoretical interpretations and understanding were stressed rather than the exposition of new analytical model developments or advances in numerical procedures. By design, compressibility influences on turbulent mixing were discussed--almost exclusively--from the perspective of supersonic flow field studies. The papers are arranged in three topical categories: Foundations, Vortical Domination, and Strongly Coupled Compressibility. The Foundations category is a collection of seminal studies that connect current study in compressible turbulent mixing with compressible, high-speed turbulent flow research that almost vanished about two decades ago. A number of contributions are included on flow instability initiation, evolution, and transition between the states of unstable flow onset through those descriptive of fully developed turbulence. The Vortical Domination category includes theoretical and experimental studies of coherent structures, vortex pairing, vortex-dynamics-influenced pressure focusing. In the Strongly Coupled Compressibility category the organizers included the high-speed turbulent flow investigations in which the interaction of shock waves could be considered an important source for production of new turbulence or for the enhancement of pre-existing turbulence. Individual papers are processed separately.

    2. Report on Advanced Detector Development

      SciTech Connect (OSTI)

      James K. Jewell

      2012-09-01

      Neutron, gamma and charged particle detection improvements are key to supporting many of the foreseen measurements and systems envisioned in the R&D programs and the future fuel cycle requirements, such as basic nuclear physics and data, modeling and simulation, reactor instrumentation, criticality safety, materials management and safeguards. This task will focus on the developmental needs of the FCR&D experimental programs, such as elastic/inelastic scattering, total cross sections and fission neutron spectra measurements, and will leverage a number of existing neutron detector development efforts and programs, such as those at LANL, PNNL, INL, and IAC as well as those at many universities, some of whom are funded under NE grants and contracts. Novel materials and fabrication processes combined with state-of-the-art electronics and computing provide new opportunities for revolutionary detector systems that will be able to meet the high precision needs of the program. This work will be closely coordinated with the Nuclear Data Crosscut. The Advanced Detector Development effort is a broadly-focused activity that supports the development of improved nuclear data measurements and improved detection of nuclear reactions and reactor conditions. This work supports the design and construction of large-scale, multiple component detectors to provide nuclear reaction data of unprecedented quality and precision. Examples include the Time Projection Chamber (TPC) and the DANCE detector at LANL. This work also supports the fabrication and end-user application of novel scintillator materials detection and monitoring.

    3. CRITICAL ISSUES IN HIGH END COMPUTING - FINAL REPORT

      SciTech Connect (OSTI)

      Corones, James

      2013-09-23

      High-End computing (HEC) has been a driver for advances in science and engineering for the past four decades. Increasingly HEC has become a significant element in the national security, economic vitality, and competitiveness of the United States. Advances in HEC provide results that cut across traditional disciplinary and organizational boundaries. This program provides opportunities to share information about HEC systems and computational techniques across multiple disciplines and organizations through conferences and exhibitions of HEC advances held in Washington DC so that mission agency staff, scientists, and industry can come together with White House, Congressional and Legislative staff in an environment conducive to the sharing of technical information, accomplishments, goals, and plans. A common thread across this series of conferences is the understanding of computational science and applied mathematics techniques across a diverse set of application areas of interest to the Nation. The specific objectives of this program are: Program Objective 1. To provide opportunities to share information about advances in high-end computing systems and computational techniques between mission critical agencies, agency laboratories, academics, and industry. Program Objective 2. To gather pertinent data, address specific topics of wide interest to mission critical agencies. Program Objective 3. To promote a continuing discussion of critical issues in high-end computing. Program Objective 4.To provide a venue where a multidisciplinary scientific audience can discuss the difficulties applying computational science techniques to specific problems and can specify future research that, if successful, will eliminate these problems.

    4. Cosmic Reionization On Computers | Argonne Leadership Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      its Cosmic Reionization On Computers (CROC) project, using the Adaptive Refinement Tree (ART) code as its main simulation tool. An important objective of this research is to make...

    5. Computing and Computational Sciences Directorate - Information...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      cost-effective, state-of-the-art computing capabilities for research and development. ... communicates and manages strategy, policy and finance across the portfolio of IT assets. ...

    6. Hydrogen Materials Advanced Research Consortium

      Broader source: Energy.gov [DOE]

      An overview of the organization and scientific activities of the Hydrogen Materials—Advanced Research Consortium (HyMARC).

    7. Advanced Photon Source Upgrade Project

      ScienceCinema (OSTI)

      Mitchell, John; Gibson, Murray; Young, Linda; Joachimiak, Andrzej

      2013-04-19

      Upgrade to Advanced Photon Source announced by Department Of Energy. Read more: http://go.usa.gov/ivZ

    8. Quant-CT: Segmenting and Quantifying Computed Tomography

      Energy Science and Technology Software Center (OSTI)

      2011-10-01

      Quant-CT is currently a plugin to ImageJ, designed as a Java-class that provides control mechanism for the user to choose volumes of interest within porous material, followed by the selection of image subsamples for automated tuning of parameters for filters and classifiers, and finally measurement of material geometry, porosity, and visualization. Denoising is mandatory before any image interpretation, and we implemented a new 3D java code that performs bilateral filtering of data. Segmentation of themore » dense material is essential before any quantifications about geological sample structure, and we invented new schemes to deal with over segmentation when using statistical region merging algorithm to pull out grains that compose imaged material. It make uses of ImageJ API and other standard and thirty-party APIs. Quant-CT conception started in 2011 under Scidac-e sponsor, and details of the first prototype were documented in publications below. While it is used right now for microtomography images, it can potentially be used by anybody with 3D image data obtained by experiment or produced by simulation.« less

    9. INEEL Advanced Radiotherapy Research Program Annual Report for 2002

      SciTech Connect (OSTI)

      J. R. Venhuizen

      2003-05-01

      This report summarizes the activities and major accomplishments for the Idaho National Engineering and Environmental Laboratory (INEEL) Advanced Radiotherapy Research Program for calendar year 2002. Topics covered include computational dosimetry and treatment planning software development, medical neutron source development and characterization, and boron analytical chemistry.

    10. INEEL Advanced Radiotherapy Research Program Annual Report 2002

      SciTech Connect (OSTI)

      Venhuizen, J.R.

      2003-05-23

      This report summarizes the activities and major accomplishments for the Idaho National Engineering and Environmental Laboratory (INEEL) Advanced Radiotherapy Research Program for calendar year 2002. Topics covered include computational dosimetry and treatment planning software development, medical neutron source development and characterization, and boron analytical chemistry.

    11. BASELINE DESIGN/ECONOMICS FOR ADVANCED FISCHER-TROPSCH TECHNOLOGY

      SciTech Connect (OSTI)

      1998-04-01

      Bechtel, along with Amoco as the main subcontractor, developed a Baseline design, two alternative designs, and computer process simulation models for indirect coal liquefaction based on advanced Fischer-Tropsch (F-T) technology for the U. S. Department of Energy's (DOE's) Federal Energy Technology Center (FETC).

    12. INL Advanced Radiotherapy Research Program Annual Report 2004

      SciTech Connect (OSTI)

      James Venhuizen

      2005-06-01

      This report summarizes the activities and major accomplishments for the Idaho National Laboratory Advanced Radiotherapy Research Program for calendar year 2004. Topics covered include boron analysis in biological samples, computational dosimetry and treatment planning software development, medical neutron source development and characterization, and collaborative dosimetry studies at the RA-1 facility in Buenos Aires, Argentina.

    13. Parallel computing works

      SciTech Connect (OSTI)

      Not Available

      1991-10-23

      An account of the Caltech Concurrent Computation Program (C{sup 3}P), a five year project that focused on answering the question: Can parallel computers be used to do large-scale scientific computations '' As the title indicates, the question is answered in the affirmative, by implementing numerous scientific applications on real parallel computers and doing computations that produced new scientific results. In the process of doing so, C{sup 3}P helped design and build several new computers, designed and implemented basic system software, developed algorithms for frequently used mathematical computations on massively parallel machines, devised performance models and measured the performance of many computers, and created a high performance computing facility based exclusively on parallel computers. While the initial focus of C{sup 3}P was the hypercube architecture developed by C. Seitz, many of the methods developed and lessons learned have been applied successfully on other massively parallel architectures.

    14. Microsoft Word - 1056311word

      Office of Scientific and Technical Information (OSTI)

      allied with us in the overall project and access to generous super- computer resources at ... Top Research Achievements At Princeton in 2010-2012 under SciDAC2 1) Zhang et al. (2011) ...

    15. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2002-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    16. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2001-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    17. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2003-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    18. Computers-BSA.ppt

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computers! Boy Scout Troop 405! What is a computer?! Is this a computer?! Charles Babbage: Father of the Computer! 1830s Designed mechanical calculators to reduce human error. *Input device *Memory to store instructions and results *A processors *Output device! Vacuum Tube! Edison 1883 & Lee de Forest 1906 discovered that "vacuum tubes" could serve as electrical switches and amplifiers A switch can be ON (1)" or OFF (0) Electronic computers use Boolean (George Bool 1850) logic

    19. Computational Fluid Dynamics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      scour-tracc-cfd TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Fluid Dynamics Overview of CFD: Video Clip with Audio Computational fluid dynamics (CFD) research uses mathematical and computational models of flowing fluids to describe and predict fluid response in problems of interest, such as the flow of air around a moving vehicle or the flow of water and sediment in a river. Coupled with appropriate and prototypical

    20. Berkeley Lab Opens State-of-the-Art Facility for Computational Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Berkeley Lab Opens State-of-the-Art Facility for Computational Science Berkeley Lab Opens State-of-the-Art Facility for Computational Science Wang Hall takes advantage of Lab's hillside location for advanced energy efficiency November 12, 2015 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 CRTpretty A new center for advancing computational science and networking at research institutions and universities across the country opened today at the Department of Energy's (DOE) Lawrence Berkeley

    1. Theory & Computation > Research > The Energy Materials Center...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Theory & Computation In This Section Computation & Simulation Theory & Computation Computation & Simulation...

    2. ADVANCED SULFUR CONTROL CONCEPTS

      SciTech Connect (OSTI)

      Apostolos A. Nikolopoulos; Santosh K. Gangwal; William J. McMichael; Jeffrey W. Portzer

      2003-01-01

      Conventional sulfur removal in integrated gasification combined cycle (IGCC) power plants involves numerous steps: COS (carbonyl sulfide) hydrolysis, amine scrubbing/regeneration, Claus process, and tail-gas treatment. Advanced sulfur removal in IGCC systems involves typically the use of zinc oxide-based sorbents. The sulfides sorbent is regenerated using dilute air to produce a dilute SO{sub 2} (sulfur dioxide) tail gas. Under previous contracts the highly effective first generation Direct Sulfur Recovery Process (DSRP) for catalytic reduction of this SO{sub 2} tail gas to elemental sulfur was developed. This process is currently undergoing field-testing. In this project, advanced concepts were evaluated to reduce the number of unit operations in sulfur removal and recovery. Substantial effort was directed towards developing sorbents that could be directly regenerated to elemental sulfur in an Advanced Hot Gas Process (AHGP). Development of this process has been described in detail in Appendices A-F. RTI began the development of the Single-step Sulfur Recovery Process (SSRP) to eliminate the use of sorbents and multiple reactors in sulfur removal and recovery. This process showed promising preliminary results and thus further process development of AHGP was abandoned in favor of SSRP. The SSRP is a direct Claus process that consists of injecting SO{sub 2} directly into the quenched coal gas from a coal gasifier, and reacting the H{sub 2}S-SO{sub 2} mixture over a selective catalyst to both remove and recover sulfur in a single step. The process is conducted at gasifier pressure and 125 to 160 C. The proposed commercial embodiment of the SSRP involves a liquid phase of molten sulfur with dispersed catalyst in a slurry bubble-column reactor (SBCR).

    3. Advanced Manufacture of Reflectors

      Office of Energy Efficiency and Renewable Energy (EERE)

      The Advance Manufacture of Reflectors fact sheet describes a SunShot Initiative project being conducted research team led by the University of Arizona, which is working to develop a novel method for shaping float glass. The technique developed by this research team can drastically reduce the time required for the shaping step. By enabling mass production of solar concentrating mirrors at high speed, this project should lead to improved performance and as much as a 40% reduction in manufacturing costs for reflectors made in very high volume.

    4. Horizontal Advanced Tensiometer

      DOE Patents [OSTI]

      Hubbell, Joel M.; Sisson, James B.

      2004-06-22

      An horizontal advanced tensiometer is described that allows the monitoring of the water pressure of soil positions, particularly beneath objects or materials that inhibit the use of previous monitoring wells. The tensiometer includes a porous cup, a pressure transducer (with an attached gasket device), an adaptive chamber, at least one outer guide tube which allows access to the desired horizontal position, a transducer wire, a data logger and preferably an inner guide tube and a specialized joint which provides pressure on the inner guide tube to maintain the seal between the gasket of the transducer and the adaptive chamber.

    5. Advanced Bioeconomy Leadership Conference

      Broader source: Energy.gov [DOE]

      This year’s Advanced Bioeconomy Leadership Conference will be held from Feb. 17–19, 2016, in Washington, D.C. The conference will gather leaders of the bioeconomy to examine supply chain technologies, business models, and partnerships. Bioenergy Technologies Office (BETO) Director Jonathan Male and Senior Executive Advisor Harry Baumes will be speaking on a panel titled “Federal Activities in the Bioeconomy I,” and Program Manager Alison Goss Eng will be moderating. The Biomass Research and Development Board Operations Committee will also be hosting alistening session on the federal bioeconomy.

    6. Extreme Scale Computing to Secure the Nation

      SciTech Connect (OSTI)

      Brown, D L; McGraw, J R; Johnson, J R; Frincke, D

      2009-11-10

      Since the dawn of modern electronic computing in the mid 1940's, U.S. national security programs have been dominant users of every new generation of high-performance computer. Indeed, the first general-purpose electronic computer, ENIAC (the Electronic Numerical Integrator and Computer), was used to calculate the expected explosive yield of early thermonuclear weapons designs. Even the U. S. numerical weather prediction program, another early application for high-performance computing, was initially funded jointly by sponsors that included the U.S. Air Force and Navy, agencies interested in accurate weather predictions to support U.S. military operations. For the decades of the cold war, national security requirements continued to drive the development of high performance computing (HPC), including advancement of the computing hardware and development of sophisticated simulation codes to support weapons and military aircraft design, numerical weather prediction as well as data-intensive applications such as cryptography and cybersecurity U.S. national security concerns continue to drive the development of high-performance computers and software in the U.S. and in fact, events following the end of the cold war have driven an increase in the growth rate of computer performance at the high-end of the market. This mainly derives from our nation's observance of a moratorium on underground nuclear testing beginning in 1992, followed by our voluntary adherence to the Comprehensive Test Ban Treaty (CTBT) beginning in 1995. The CTBT prohibits further underground nuclear tests, which in the past had been a key component of the nation's science-based program for assuring the reliability, performance and safety of U.S. nuclear weapons. In response to this change, the U.S. Department of Energy (DOE) initiated the Science-Based Stockpile Stewardship (SBSS) program in response to the Fiscal Year 1994 National Defense Authorization Act, which requires, 'in the absence of nuclear testing, a progam to: (1) Support a focused, multifaceted program to increase the understanding of the enduring stockpile; (2) Predict, detect, and evaluate potential problems of the aging of the stockpile; (3) Refurbish and re-manufacture weapons and components, as required; and (4) Maintain the science and engineering institutions needed to support the nation's nuclear deterrent, now and in the future'. This program continues to fulfill its national security mission by adding significant new capabilities for producing scientific results through large-scale computational simulation coupled with careful experimentation, including sub-critical nuclear experiments permitted under the CTBT. To develop the computational science and the computational horsepower needed to support its mission, SBSS initiated the Accelerated Strategic Computing Initiative, later renamed the Advanced Simulation & Computing (ASC) program (sidebar: 'History of ASC Computing Program Computing Capability'). The modern 3D computational simulation capability of the ASC program supports the assessment and certification of the current nuclear stockpile through calibration with past underground test (UGT) data. While an impressive accomplishment, continued evolution of national security mission requirements will demand computing resources at a significantly greater scale than we have today. In particular, continued observance and potential Senate confirmation of the Comprehensive Test Ban Treaty (CTBT) together with the U.S administration's promise for a significant reduction in the size of the stockpile and the inexorable aging and consequent refurbishment of the stockpile all demand increasing refinement of our computational simulation capabilities. Assessment of the present and future stockpile with increased confidence of the safety and reliability without reliance upon calibration with past or future test data is a long-term goal of the ASC program. This will be accomplished through significant increases in the scientific bases that underlie the computational tools. Computer codes must be de

    7. Vehicle Technologies Office: 2014 Advanced Combustion Engine...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Combustion Engine Annual Progress Report Vehicle Technologies Office: 2014 Advanced Combustion Engine Annual Progress Report The Advanced Combustion Engine research and...

    8. 2011 Grants for Advanced Hydropower Technologies | Department...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Grants for Advanced Hydropower Technologies 2011 Grants for Advanced Hydropower Technologies 2011 Grants for Advanced Hydropower Technologies Click on an Awardee or Project Site...

    9. Vehicle Technologies Office: 2014 Advanced Combustion Engine...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      2014 Advanced Combustion Engine Annual Progress Report Vehicle Technologies Office: 2014 Advanced Combustion Engine Annual Progress Report The Advanced Combustion Engine research...

    10. Polymorphous computing fabric

      DOE Patents [OSTI]

      Wolinski, Christophe Czeslaw (Los Alamos, NM); Gokhale, Maya B. (Los Alamos, NM); McCabe, Kevin Peter (Los Alamos, NM)

      2011-01-18

      Fabric-based computing systems and methods are disclosed. A fabric-based computing system can include a polymorphous computing fabric that can be customized on a per application basis and a host processor in communication with said polymorphous computing fabric. The polymorphous computing fabric includes a cellular architecture that can be highly parameterized to enable a customized synthesis of fabric instances for a variety of enhanced application performances thereof. A global memory concept can also be included that provides the host processor random access to all variables and instructions associated with the polymorphous computing fabric.

    11. National Energy Research Scientific Computing Center

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      4 Annual Report Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720-8148 This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Cover Image Credits: front cover, main image: Ken Chen, University of California, Santa Cruz (story, p. 34) front cover, left to right: Burlen Loring, Lawrence Berkeley National Laboratory (story, p. 42);

    12. Annihilating nanoscale defects | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Annihilating nanoscale defects Author: Justin H.S. Breaux January 13, 2016 Facebook Twitter LinkedIn Google E-mail Printer-friendly version Target dates are critical when the semiconductor industry adds small, enhanced features to our favorite devices by integrating advanced materials onto the surfaces of computer chips. Missing a target means postponing a device's release, which could cost a company millions of dollars or, worse, the loss of competitiveness and an entire industry. But meeting

    13. Virtual Advanced Power Training Environments | The Ames Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Virtual Advanced Power Training Environments

    14. Fermilab | Science at Fermilab | Computing | High-performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Lattice QCD Farm at the Grid Computing Center at Fermilab. Lattice QCD Farm at the Grid Computing Center at Fermilab. Computing High-performance Computing A workstation computer can perform billions of multiplication and addition operations each second. High-performance parallel computing becomes necessary when computations become too large or too long to complete on a single such machine. In parallel computing, computations are divided up so that many computers can work on the same problem at

    15. ADVANCED TURBINE SYSTEMS PROGRAM

      SciTech Connect (OSTI)

      Gregory Gaul

      2004-04-21

      Natural gas combustion turbines are rapidly becoming the primary technology of choice for generating electricity. At least half of the new generating capacity added in the US over the next twenty years will be combustion turbine systems. The Department of Energy has cosponsored with Siemens Westinghouse, a program to maintain the technology lead in gas turbine systems. The very ambitious eight year program was designed to demonstrate a highly efficient and commercially acceptable power plant, with the ability to fire a wide range of fuels. The main goal of the Advanced Turbine Systems (ATS) Program was to develop ultra-high efficiency, environmentally superior and cost effective competitive gas turbine systems for base load application in utility, independent power producer and industrial markets. Performance targets were focused on natural gas as a fuel and included: System efficiency that exceeds 60% (lower heating value basis); Less than 10 ppmv NO{sub x} emissions without the use of post combustion controls; Busbar electricity that are less than 10% of state of the art systems; Reliability-Availability-Maintainability (RAM) equivalent to current systems; Water consumption minimized to levels consistent with cost and efficiency goals; and Commercial systems by the year 2000. In a parallel effort, the program was to focus on adapting the ATS engine to coal-derived or biomass fuels. In Phase 1 of the ATS Program, preliminary investigators on different gas turbine cycles demonstrated that net plant LHV based efficiency greater than 60% was achievable. In Phase 2 the more promising cycles were evaluated in greater detail and the closed-loop steam-cooled combined cycle was selected for development because it offered the best solution with least risk for achieving the ATS Program goals for plant efficiency, emissions, cost of electricity and RAM. Phase 2 also involved conceptual ATS engine and plant design and technology developments in aerodynamics, sealing, combustion, cooling, materials, coatings and casting development. The market potential for the ATS gas turbine in the 2000-2014 timeframe was assessed for combined cycle, simple cycle and integrated gasification combined cycle, for three engine sizes. The total ATS market potential was forecasted to exceed 93 GW. Phase 3 and Phase 3 Extension involved further technology development, component testing and W501ATS engine detail design. The technology development efforts consisted of ultra low NO{sub x} combustion, catalytic combustion, sealing, heat transfer, advanced coating systems, advanced alloys, single crystal casting development and determining the effect of steam on turbine alloys. Included in this phase was full-load testing of the W501G engine at the McIntosh No. 5 site in Lakeland, Florida.

    16. Computers in Commercial Buildings

      U.S. Energy Information Administration (EIA) Indexed Site

      Government-owned buildings of all types, had, on average, more than one computer per person (1,104 computers per thousand employees). They also had a fairly high ratio of...

    17. Computers for Learning

      Broader source: Energy.gov [DOE]

      Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...

    18. Cognitive Computing for Security.

      SciTech Connect (OSTI)

      Debenedictis, Erik; Rothganger, Fredrick; Aimone, James Bradley; Marinella, Matthew; Evans, Brian Robert; Warrender, Christina E.; Mickel, Patrick

      2015-12-01

      Final report for Cognitive Computing for Security LDRD 165613. It reports on the development of hybrid of general purpose/ne uromorphic computer architecture, with an emphasis on potential implementation with memristors.

    19. Getting Computer Accounts

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Accounts When you first arrive at the lab, you will be presented with lots of forms that must be read and signed in order to get an ID and computer access. You must ensure...

    20. Advanced servo manipulator

      DOE Patents [OSTI]

      Holt, W.E.; Kuban, D.P.; Martin, H.L.

      1988-10-25

      An advanced servo manipulator has modular parts. Modular motor members drive individual input gears to control shoulder roll, shoulder pitch, elbow pitch, wrist yaw, wrist pitch, wrist roll, and tong spacing. The modules include a support member, a shoulder module for controlling shoulder roll, and a sleeve module attached to the shoulder module in fixed relation thereto. The shoulder roll sleeve module has an inner cylindrical member rotatable relative to the outer cylindrical member, and upon which a gear pod assembly is mounted. A plurality of shafts are driven by the gears, which are in turn driven by individual motor modules to transmit rotary power to control elbow pitch as well as to provide four different rotary shafts across the bendable elbow joint to supply rotary motive power to a wrist member and tong member. 41 figs.

    1. Advanced servo manipulator

      DOE Patents [OSTI]

      Holt, William E. (Knoxville, TN); Kuban, Daniel P. (Oak Ridge, TN); Martin, H. Lee (Knoxville, TN)

      1988-01-01

      An advanced servo manipulator has modular parts. Modular motor members drive individual input gears to control shoulder roll, shoulder pitch, elbow pitch, wrist yaw, wrist pitch, wrist roll, and tong spacing. The modules include a support member, a shoulder module for controlling shoulder roll, and a sleeve module attached to the shoulder module in fixed relation thereto. The shoulder roll sleeve module has an inner cylindrical member rotatable relative to the outer cylindrical member, and upon which a gear pod assembly is mounted. A plurality of shafts are driven by the gears, which are in turn driven by individual motor modules to transmit rotary power to control elbow pitch as well as to provide four different rotary shafts across the bendable elbow joint to supply rotary motive power to a wrist member and tong member.

    2. Advanced Containment System

      DOE Patents [OSTI]

      Kostelnik, Kevin M. (Idaho Falls, ID); Kawamura, Hideki (Tokyo, JP); Richardson, John G. (Idaho Falls, ID); Noda, Masaru (Tokyo, JP)

      2004-10-12

      An advanced containment system for containing buried waste and associated leachate. A trench is dug on either side of the zone of interest containing the buried waste so as to accommodate a micro tunnel boring machine. A series of small diameter tunnels are serially excavated underneath the buried waste. The tunnels are excavated by the micro tunnel boring machine at a consistent depth and are substantially parallel to each other. As tunneling progresses, steel casing sections are connected end to end in the excavated portion of the tunnel so that a steel tube is formed. Each casing section has complementary interlocking structure running its length that interlocks with complementary interlocking structure on the adjacent casing section. Thus, once the first tube is emplaced, placement of subsequent tubes is facilitated by the complementary interlocking structure on the adjacent, previously placed, casing sections.

    3. Advanced Containment System

      DOE Patents [OSTI]

      Kostelnik, Kevin M. (Idaho Falls, ID); Kawamura, Hideki (Tokyo, JP); Richardson, John G. (Idaho Falls, ID); Noda, Masaru (Tokyo, JP)

      2005-05-24

      An advanced containment system for containing buried waste and associated leachate. A trench is dug on either side of the zone of interest containing the buried waste so as to accommodate a micro tunnel boring machine. A series of small diameter tunnels are serially excavated underneath the buried waste. The tunnels are excavated by the micro tunnel boring machine at a consistent depth and are substantially parallel to each other. As tunneling progresses, steel casing sections are connected end to end in the excavated portion of the tunnel so that a steel tube is formed. Each casing section has complementary interlocking structure running its length that interlocks with complementary interlocking structure on the adjacent casing section. Thus, once the first tube is emplaced, placement of subsequent tubes is facilitated by the complementary interlocking structure on the adjacent, previously placed, casing sections.

    4. Advanced engineering analysis

      SciTech Connect (OSTI)

      Freeman, W.R.

      1992-11-01

      The Advanced Engineering Analysis project is being used to improve the breadth of engineering analysis types, the particular phenomena which may be simulated, and also increase the accuracy and usability of the results of both new and current types of simulations and analyses. This is an interim report covering several topics under this project. Information on two new implementations of failure criteria for metal forming, the implementation of coupled fluid flow/heat transfer analysis capabilities, the integration of experimental shock and vibration test data with analyses, a correction to a contact solution problem with a 3-D parabolic brick finite element, and the development and implementation of a file translator to link IDEAS to DYNA3D is provided in this report.

    5. TOOLKIT FOR ADVANCED OPTIMIZATION

      Energy Science and Technology Software Center (OSTI)

      2000-10-13

      The TAO project focuses on the development of software for large scale optimization problems. TAO uses an object-oriented design to create a flexible toolkit with strong emphasis on the reuse of external tools where appropriate. Our design enables bi-directional connection to lower level linear algebra support (for example, parallel sparse matrix data structures) as well as higher level application frameworks. The Toolkist for Advanced Optimization (TAO) is aimed at teh solution of large-scale optimization problemsmore » on high-performance architectures. Our main goals are portability, performance, scalable parallelism, and an interface independent of the architecture. TAO is suitable for both single-processor and massively-parallel architectures. The current version of TAO has algorithms for unconstrained and bound-constrained optimization.« less

    6. Advanced drilling systems study.

      SciTech Connect (OSTI)

      Pierce, Kenneth G.; Livesay, Billy Joe; Finger, John Travis

      1996-05-01

      This report documents the results of a study of advanced drilling concepts conducted jointly for the Natural Gas Technology Branch and the Geothermal Division of the U.S. Department of Energy. A number of alternative rock cutting concepts and drilling systems are examined. The systems cover the range from current technology, through ongoing efforts in drilling research, to highly speculative concepts. Cutting mechanisms that induce stress mechanically, hydraulically, and thermally are included. All functions necessary to drill and case a well are considered. Capital and operating costs are estimated and performance requirements, based on comparisons of the costs for alternative systems to conventional drilling technology, are developed. A number of problems common to several alternatives and to current technology are identified and discussed.

    7. The Advanced Manufacturing Partnership and the Advanced Manufacturing...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Facility Workshop Manufacturing Demonstration Facilities Workshop, March 12, 2012 Report to the President on Capturing Domestic Competitive Advantage in Advanced Manufacturing...

    8. Chapter 4: Advancing Clean Electric Power Technologies | Advanced...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      The advanced plant technologies are combined with carbon capture and storage (CCS) ... the cost of capturing carbon with CCS technologies compared to conventional systems. ...

    9. Advanced isotope separation

      SciTech Connect (OSTI)

      Not Available

      1982-05-04

      The Study Group briefly reviewed the technical status of the three Advanced Isotope Separation (AIS) processes. It also reviewed the evaluation work that has been carried out by DOE's Process Evaluation Board (PEB) and the Union Carbide Corporation-Nuclear Division (UCCND). The Study Group briefly reviewed a recent draft assessment made for DOE staff of the nonproliferation implications of the AIS technologies. The staff also very briefly summarized the status of GCEP and Advanced Centrifuge development. The Study Group concluded that: (1) there has not been sufficient progress to provide a firm scientific, technical or economic basis on which to select one of the three competing AIS processes for full-scale engineering development at this time; and (2) however, should budgetary restraints or other factors force such a selection, we believe that the evaluation process that is being carried out by the PEB provides the best basis available for making a decision. The Study Group recommended that: (1) any decisions on AIS processes should include a comparison with gas centrifuge processes, and should not be made independently from the plutonium isotope program; (2) in evaluating the various enrichment processes, all applicable costs (including R and D and sales overhead) and an appropriate discounting approach should be included in order to make comparisons on a private industry basis; (3) if the three AIS programs continue with limited resources, the work should be reoriented to focus only on the most pressing technical problems; and (4) if a decision is made to develop the Atomic Vapor Laser Isotope Separation process, the solid collector option should be pursued in parallel to alleviate the potential program impact of liquid collector thermal control problems.

    10. Foundational Tools for Petascale Computing

      SciTech Connect (OSTI)

      Miller, Barton

      2014-05-19

      The Paradyn project has a history of developing algorithms, techniques, and software that push the cutting edge of tool technology for high-end computing systems. Under this funding, we are working on a three-year agenda to make substantial new advances in support of new and emerging Petascale systems. The overall goal for this work is to address the steady increase in complexity of these petascale systems. Our work covers two key areas: (1) The analysis, instrumentation and control of binary programs. Work in this area falls under the general framework of the Dyninst API tool kits. (2) Infrastructure for building tools and applications at extreme scale. Work in this area falls under the general framework of the MRNet scalability framework. Note that work done under this funding is closely related to work done under a contemporaneous grant, “High-Performance Energy Applications and Systems”, SC0004061/FG02-10ER25972, UW PRJ36WV.

    11. Computational Structural Mechanics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      load-2 TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Structural Mechanics Overview of CSM Computational structural mechanics is a well-established methodology for the design and analysis of many components and structures found in the transportation field. Modern finite-element models (FEMs) play a major role in these evaluations, and sophisticated software, such as the commercially available LS-DYNAÂź code, is

    12. BNL ATLAS Grid Computing

      ScienceCinema (OSTI)

      Michael Ernst

      2010-01-08

      As the sole Tier-1 computing facility for ATLAS in the United States and the largest ATLAS computing center worldwide Brookhaven provides a large portion of the overall computing resources for U.S. collaborators and serves as the central hub for storing,

    13. Computing environment logbook

      DOE Patents [OSTI]

      Osbourn, Gordon C; Bouchard, Ann M

      2012-09-18

      A computing environment logbook logs events occurring within a computing environment. The events are displayed as a history of past events within the logbook of the computing environment. The logbook provides search functionality to search through the history of past events to find one or more selected past events, and further, enables an undo of the one or more selected past events.

    14. Mathematical and Computational Epidemiology

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Mathematical and Computational Epidemiology Search Site submit Contacts | Sponsors Mathematical and Computational Epidemiology Los Alamos National Laboratory change this image and alt text Menu About Contact Sponsors Research Agent-based Modeling Mixing Patterns, Social Networks Mathematical Epidemiology Social Internet Research Uncertainty Quantification Publications People Mathematical and Computational Epidemiology (MCEpi) Quantifying model uncertainty in agent-based simulations for

    15. LOUISIANA IMMERSIVE TECHNOLOGIES ENTERPRISE (LITE): ENABLING COASTAL STEWARDSHIP AND RELIABLE ENERGY

      SciTech Connect (OSTI)

      Cruz-Neira, Carolina

      2009-01-24

      This project will focus on research and application development in the area of large scale data computing and visualization that are critical to the DoE BER program areas of climate change research, environmental sciences, life sciences, and medical sciences. Most commercial applications available today are unable to handle the sizes of data in these domains, usually in the order of terabytes and petabytes. This project will address this problem, by taking advantage of the advanced scientific computing infrastructure of the LITE and LONI to conduct research and develop software applications that run natively on these 64-bit supercomputing platforms. The project is consistent with the goals of Scientific Discovery through Advanced Computing (SciDAC), a DoE initiative.

    16. Cupola Furnace Computer Process Model

      SciTech Connect (OSTI)

      Seymour Katz

      2004-12-31

      The cupola furnace generates more than 50% of the liquid iron used to produce the 9+ million tons of castings annually. The cupola converts iron and steel into cast iron. The main advantages of the cupola furnace are lower energy costs than those of competing furnaces (electric) and the ability to melt less expensive metallic scrap than the competing furnaces. However the chemical and physical processes that take place in the cupola furnace are highly complex making it difficult to operate the furnace in optimal fashion. The results are low energy efficiency and poor recovery of important and expensive alloy elements due to oxidation. Between 1990 and 2004 under the auspices of the Department of Energy, the American Foundry Society and General Motors Corp. a computer simulation of the cupola furnace was developed that accurately describes the complex behavior of the furnace. When provided with the furnace input conditions the model provides accurate values of the output conditions in a matter of seconds. It also provides key diagnostics. Using clues from the diagnostics a trained specialist can infer changes in the operation that will move the system toward higher efficiency. Repeating the process in an iterative fashion leads to near optimum operating conditions with just a few iterations. More advanced uses of the program have been examined. The program is currently being combined with an ''Expert System'' to permit optimization in real time. The program has been combined with ''neural network'' programs to affect very easy scanning of a wide range of furnace operation. Rudimentary efforts were successfully made to operate the furnace using a computer. References to these more advanced systems will be found in the ''Cupola Handbook''. Chapter 27, American Foundry Society, Des Plaines, IL (1999).

    17. Recent Theoretical Results for Advanced Thermoelectric Materials...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Theoretical Results for Advanced Thermoelectric Materials Recent Theoretical Results for Advanced Thermoelectric Materials Transport theory and first principles calculations ...

    18. Electrolytes - Advanced Electrolyte and Electrolyte Additives...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      More Documents & Publications Development of Advanced Electrolytes and Electrolyte Additives Electrolytes - Advanced Electrolyte and Electrolyte Additives Develop & evaluate ...

    19. Electrolytes - Advanced Electrolyte and Electrolyte Additives...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      More Documents & Publications Electrolytes - Advanced Electrolyte and Electrolyte Additives Electrolytes - Advanced Electrolyte and Electrolyte Additives Develop & Evaluate ...

    20. Northeast Energy Efficiency Partnerships: Advanced Lighting Controls...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Northeast Energy Efficiency Partnerships: Advanced Lighting Controls Northeast Energy Efficiency Partnerships: Advanced Lighting Controls Credit: Northeast Energy Efficiency ...

    1. Northeast Energy Efficiency Partnerships: Advanced Lighting Controls...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Northeast Energy Efficiency Partnerships: Advanced Lighting Controls Northeast Energy Efficiency Partnerships: Advanced Lighting Controls Credit: Northeast Energy Efficiency...

    2. Conversion Technologies for Advanced Biofuels - Carbohydrates...

      Broader source: Energy.gov (indexed) [DOE]

      More Documents & Publications Conversion Technologies for Advanced Biofuels - Carbohydrates Production Advanced Conversion Roadmap Workshop Innovative Topics for...

    3. Advanced Gasoline Turbocharged Direct Injection (GTDI) Engine...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Vehicle Technologies Office Merit Review 2014: Advanced Gasoline Turbocharged Direct Injection (GTDI) Engine Development Advanced Gasoline Turbocharged Direct Injection (GTDI) ...

    4. Advancing Transportation Through Vehicle Electrification - PHEV...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      More Documents & Publications Advancing Transportation Through Vehicle Electrification - ... Office Merit Review 2014: Advancing Transportation through Vehicle Electrification - Ram ...

    5. SCR Performance Optimization Through Advancements in Aftertreatment...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Performance Optimization Through Advancements in Aftertreatment Packaging SCR Performance Optimization Through Advancements in Aftertreatment Packaging The impact of improved urea...

    6. Enhancing Transportation Energy Security through Advanced Combustion...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Transportation Energy Security through Advanced Combustion and Fuels Technologies Enhancing Transportation Energy Security through Advanced Combustion and Fuels Technologies 2005 ...

    7. Revolutionizing Clean Energy Technology with Advanced Composites |

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Department of Energy Revolutionizing Clean Energy Technology with Advanced Composites Revolutionizing Clean Energy Technology with Advanced Composites Addthis

    8. 2011 Computation Directorate Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2012-04-11

      From its founding in 1952 until today, Lawrence Livermore National Laboratory (LLNL) has made significant strategic investments to develop high performance computing (HPC) and its application to national security and basic science. Now, 60 years later, the Computation Directorate and its myriad resources and capabilities have become a key enabler for LLNL programs and an integral part of the effort to support our nation's nuclear deterrent and, more broadly, national security. In addition, the technological innovation HPC makes possible is seen as vital to the nation's economic vitality. LLNL, along with other national laboratories, is working to make supercomputing capabilities and expertise available to industry to boost the nation's global competitiveness. LLNL is on the brink of an exciting milestone with the 2012 deployment of Sequoia, the National Nuclear Security Administration's (NNSA's) 20-petaFLOP/s resource that will apply uncertainty quantification to weapons science. Sequoia will bring LLNL's total computing power to more than 23 petaFLOP/s-all brought to bear on basic science and national security needs. The computing systems at LLNL provide game-changing capabilities. Sequoia and other next-generation platforms will enable predictive simulation in the coming decade and leverage industry trends, such as massively parallel and multicore processors, to run petascale applications. Efficient petascale computing necessitates refining accuracy in materials property data, improving models for known physical processes, identifying and then modeling for missing physics, quantifying uncertainty, and enhancing the performance of complex models and algorithms in macroscale simulation codes. Nearly 15 years ago, NNSA's Accelerated Strategic Computing Initiative (ASCI), now called the Advanced Simulation and Computing (ASC) Program, was the critical element needed to shift from test-based confidence to science-based confidence. Specifically, ASCI/ASC accelerated the development of simulation capabilities necessary to ensure confidence in the nuclear stockpile-far exceeding what might have been achieved in the absence of a focused initiative. While stockpile stewardship research pushed LLNL scientists to develop new computer codes, better simulation methods, and improved visualization technologies, this work also stimulated the exploration of HPC applications beyond the standard sponsor base. As LLNL advances to a petascale platform and pursues exascale computing (1,000 times faster than Sequoia), ASC will be paramount to achieving predictive simulation and uncertainty quantification. Predictive simulation and quantifying the uncertainty of numerical predictions where little-to-no data exists demands exascale computing and represents an expanding area of scientific research important not only to nuclear weapons, but to nuclear attribution, nuclear reactor design, and understanding global climate issues, among other fields. Aside from these lofty goals and challenges, computing at LLNL is anything but 'business as usual.' International competition in supercomputing is nothing new, but the HPC community is now operating in an expanded, more aggressive climate of global competitiveness. More countries understand how science and technology research and development are inextricably linked to economic prosperity, and they are aggressively pursuing ways to integrate HPC technologies into their native industrial and consumer products. In the interest of the nation's economic security and the science and technology that underpins it, LLNL is expanding its portfolio and forging new collaborations. We must ensure that HPC remains an asymmetric engine of innovation for the Laboratory and for the U.S. and, in doing so, protect our research and development dynamism and the prosperity it makes possible. One untapped area of opportunity LLNL is pursuing is to help U.S. industry understand how supercomputing can benefit their business. Industrial investment in HPC applications has historically been limited by the prohibitive cost of entry, the inaccessibility of software to run the powerful systems, and the years it takes to grow the expertise to develop codes and run them in an optimal way. LLNL is helping industry better compete in the global market place by providing access to some of the world's most powerful computing systems, the tools to run them, and the experts who are adept at using them. Our scientists are collaborating side by side with industrial partners to develop solutions to some of industry's toughest problems. The goal of the Livermore Valley Open Campus High Performance Computing Innovation Center is to allow American industry the opportunity to harness the power of supercomputing by leveraging the scientific and computational expertise at LLNL in order to gain a competitive advantage in the global economy.

    9. Advanced Materials Manufacturing (AMM) Session

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Eric Miller Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Fuel Cells Technology Office (FTCO) DOE and DoD Multi-topic Workshop Advanced Materials Manufacturing (AMM) Session Fort Worth, TX October 9, 2014 Advanced Materials Manufacturing (AMM) Institute Stakeholders Workshop Advanced Manufacturing Office (AMO) manufacturing.energy.gov 2 WELCOME & THANK YOU! from your friendly support staff: Eric Miller, David Forrest, Fred Crowson, Jessica Savell...

    10. Advanced Bioeconomy Leadership Conference 2015

      Broader source: Energy.gov [DOE]

      The Advanced Bioeconomy Leadership Conference was held on March 11–13, at the Capital Hilton in Washington, D.C.

    11. Video Library | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Archives APS Brochure Annual Reports Posters Podcasts Image Gallery external site Video Library Syndicated Feeds (RSS) Featured Videos: Introduction to the Advanced Photon...

    12. Video Library | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Archives APS Brochure Annual Reports Posters Podcasts Image Gallery external site Video Library Syndicated Feeds (RSS) Now Playing: The Advanced Photon Source More videos:...

    13. Advance Electronics | Open Energy Information

      Open Energy Info (EERE)

      transient suppressors, automatic voltage stablisers, voltmeters oscilloscopes, and signal generators. References: Advance Electronics1 This article is a stub. You can help...

    14. Advanced Leds | Open Energy Information

      Open Energy Info (EERE)

      Place: Coventry, England, United Kingdom Zip: CV5 6SP Product: Advanced Leds develops LED technology for outdoor lighting, including street lighting applications. Coordinates:...

    15. Media Center | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      distributed to all APS users and others interested in the APS. Research Highlights Books Articles on Advanced Photon Source research and engineering highlights that are written...

    16. APS Science | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Science APS Science features articles on Advanced Photon Source research and engineering highlights that are written for the interested public as well as the synchrotron x-ray,...

    17. 2012 Advanced Accelerator Concepts Workshop

      SciTech Connect (OSTI)

      Downer, Michael C.

      2015-03-23

      We report on the organization and outcome of the 2012 Advanced Accelerator Concepts Workshop, held in Austin, Texas in June 2012.

    18. Advanced Neutron Source (ANS) Project

      SciTech Connect (OSTI)

      Campbell, J.H.; Selby, D.L.; Harrington, R.M.; Peretz, F.J.

      1991-02-01

      This report discusses the research and development, design and safety of the Advanced Neutron Source at Oak Ridge National Laboratory. (LSP)

    19. Advanced Telemetry | Open Energy Information

      Open Energy Info (EERE)

      search Name: Advanced Telemetry Place: San Diego, California Zip: 92131-2435 Sector: Buildings Product: San Diego-based provider of energy management software, communication and...

    20. Video Library | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Video Library Related Links: APS Colloquium APS Podcasts APS Today More videos: Introduction to the APS Physics of the Blues Now Playing: Building the Advanced Photon Source This...

    1. Scalable optical quantum computer

      SciTech Connect (OSTI)

      Manykin, E A; Mel'nichenko, E V [Institute for Superconductivity and Solid-State Physics, Russian Research Centre 'Kurchatov Institute', Moscow (Russian Federation)

      2014-12-31

      A way of designing a scalable optical quantum computer based on the photon echo effect is proposed. Individual rare earth ions Pr{sup 3+}, regularly located in the lattice of the orthosilicate (Y{sub 2}SiO{sub 5}) crystal, are suggested to be used as optical qubits. Operations with qubits are performed using coherent and incoherent laser pulses. The operation protocol includes both the method of measurement-based quantum computations and the technique of optical computations. Modern hybrid photon echo protocols, which provide a sufficient quantum efficiency when reading recorded states, are considered as most promising for quantum computations and communications. (quantum computer)

    2. COMPUTATIONAL SCIENCE CENTER

      SciTech Connect (OSTI)

      DAVENPORT, J.

      2005-11-01

      The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include, for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security. To achieve our goals we have established a close alliance with applied mathematicians and computer scientists at Stony Brook and Columbia Universities.

    3. Advanced Hydrogen Turbine Development

      SciTech Connect (OSTI)

      Joesph Fadok

      2008-01-01

      Siemens has developed a roadmap to achieve the DOE goals for efficiency, cost reduction, and emissions through innovative approaches and novel technologies which build upon worldwide IGCC operational experience, platform technology, and extensive experience in G-class operating conditions. In Phase 1, the technologies and concepts necessary to achieve the program goals were identified for the gas turbine components and supporting technology areas and testing plans were developed to mitigate identified risks. Multiple studies were conducted to evaluate the impact in plant performance of different gas turbine and plant technologies. 2015 gas turbine technologies showed a significant improvement in IGCC plant efficiency, however, a severe performance penalty was calculated for high carbon capture cases. Thermodynamic calculations showed that the DOE 2010 and 2015 efficiency targets can be met with a two step approach. A risk management process was instituted in Phase 1 to identify risk and develop mitigation plans. For the risks identified, testing and development programs are in place and the risks will be revisited periodically to determine if changes to the plan are necessary. A compressor performance prediction has shown that the design of the compressor for the engine can be achieved with additional stages added to the rear of the compressor. Tip clearance effects were studied as well as a range of flow and pressure ratios to evaluate the impacts to both performance and stability. Considerable data was obtained on the four candidate combustion systems: diffusion, catalytic, premix, and distributed combustion. Based on the results of Phase 1, the premixed combustion system and the distributed combustion system were chosen as having the most potential and will be the focus of Phase 2 of the program. Significant progress was also made in obtaining combustion kinetics data for high hydrogen fuels. The Phase 1 turbine studies indicate initial feasibility of the advanced hydrogen turbine that meets the aggressive targets set forth for the advanced hydrogen turbine, including increased rotor inlet temperature (RIT), lower total cooling and leakage air (TCLA) flow, higher pressure ratio, and higher mass flow through the turbine compared to the baseline. Maintaining efficiency with high mass flow Syngas combustion is achieved using a large high AN2 blade 4, which has been identified as a significant advancement beyond the current state-of-the-art. Preliminary results showed feasibility of a rotor system capable of increased power output and operating conditions above the baseline. In addition, several concepts were developed for casing components to address higher operating conditions. Rare earth modified bond coat for the purpose of reducing oxidation and TBC spallation demonstrated an increase in TBC spallation life of almost 40%. The results from Phase 1 identified two TBC compositions which satisfy the thermal conductivity requirements and have demonstrated phase stability up to temperatures of 1850 C. The potential to join alloys using a bonding process has been demonstrated and initial HVOF spray deposition trials were promising. The qualitative ranking of alloys and coatings in environmental conditions was also performed using isothermal tests where significant variations in alloy degradation were observed as a function of gas composition. Initial basic system configuration schematics and working system descriptions have been produced to define key boundary data and support estimation of costs. Review of existing materials in use for hydrogen transportation show benefits or tradeoffs for materials that could be used in this type of applications. Hydrogen safety will become a larger risk than when using natural gas fuel as the work done to date in other areas has shown direct implications for this type of use. Studies were conducted which showed reduced CO{sub 2} and NOx emissions with increased plant efficiency. An approach to maximize plant output is needed in order to address the DOE turbine goal for 20-30% reduction o

    4. Materials Frontiers to Empower Quantum Computing

      SciTech Connect (OSTI)

      Taylor, Antoinette Jane; Sarrao, John Louis; Richardson, Christopher

      2015-06-11

      This is an exciting time at the nexus of quantum computing and materials research. The materials frontiers described in this report represent a significant advance in electronic materials and our understanding of the interactions between the local material and a manufactured quantum state. Simultaneously, directed efforts to solve materials issues related to quantum computing provide an opportunity to control and probe the fundamental arrangement of matter that will impact all electronic materials. An opportunity exists to extend our understanding of materials functionality from electronic-grade to quantum-grade by achieving a predictive understanding of noise and decoherence in qubits and their origins in materials defects and environmental coupling. Realizing this vision systematically and predictively will be transformative for quantum computing and will represent a qualitative step forward in materials prediction and control.

    5. Advanced robot locomotion.

      SciTech Connect (OSTI)

      Neely, Jason C.; Sturgis, Beverly Rainwater; Byrne, Raymond Harry; Feddema, John Todd; Spletzer, Barry Louis; Rose, Scott E.; Novick, David Keith; Wilson, David Gerald; Buerger, Stephen P.

      2007-01-01

      This report contains the results of a research effort on advanced robot locomotion. The majority of this work focuses on walking robots. Walking robot applications include delivery of special payloads to unique locations that require human locomotion to exo-skeleton human assistance applications. A walking robot could step over obstacles and move through narrow openings that a wheeled or tracked vehicle could not overcome. It could pick up and manipulate objects in ways that a standard robot gripper could not. Most importantly, a walking robot would be able to rapidly perform these tasks through an intuitive user interface that mimics natural human motion. The largest obstacle arises in emulating stability and balance control naturally present in humans but needed for bipedal locomotion in a robot. A tracked robot is bulky and limited, but a wide wheel base assures passive stability. Human bipedal motion is so common that it is taken for granted, but bipedal motion requires active balance and stability control for which the analysis is non-trivial. This report contains an extensive literature study on the state-of-the-art of legged robotics, and it additionally provides the analysis, simulation, and hardware verification of two variants of a proto-type leg design.

    6. Advanced Pressure Boundary Materials

      SciTech Connect (OSTI)

      Santella, Michael L; Shingledecker, John P

      2007-01-01

      Increasing the operating temperatures of fossil power plants is fundamental to improving thermal efficiencies and reducing undesirable emissions such as CO{sub 2}. One group of alloys with the potential to satisfy the conditions required of higher operating temperatures is the advanced ferritic steels such as ASTM Grade 91, 9Cr-2W, and 12Cr-2W. These are Cr-Mo steels containing 9-12 wt% Cr that have martensitic microstructures. Research aimed at increasing the operating temperature limits of the 9-12 wt% Cr steels and optimizing them for specific power plant applications has been actively pursued since the 1970's. As with all of the high strength martensitic steels, specifying upper temperature limits for tempering the alloys and heat treating weldments is a critical issue. To support this aspect of development, thermodynamic analysis was used to estimate how this critical temperature, the A{sub 1} in steel terminology, varies with alloy composition. The results from the thermodynamic analysis were presented to the Strength of Weldments subgroup of the ASME Boiler & Pressure Vessel Code and are being considered in establishing maximum postweld heat treatment temperatures. Experiments are also being planned to verify predictions. This is part of a CRADA project being done with Alstom Power, Inc.

    7. Advanced solar panel designs

      SciTech Connect (OSTI)

      Ralph, E.L.; Linder, E.

      1995-10-01

      This paper describes solar cell panel designs that utilize new high efficiency solar cells along with lightweight rigid panel technology. The resulting designs push the W/kg and W/sq m parameters to new high levels. These new designs are well suited to meet the demand for higher performance small satellites. This paper reports on progress made on two SBIR Phase 1 contracts. One panel design involved the use of large area (5.5 cm x 6.5 cm) GaAs/Ge solar cells of 19% efficiency combined with a lightweight rigid graphite fiber epoxy isogrid substrate configuration. A coupon (38 cm x 38 cm) was fabricated and tested which demonstrated an array specific power level of 60 W/kg with a potential of reaching 80 W/kg. The second panel design involved the use of newly developed high efficiency (22%) dual junction GaInP2/GaAs/Ge solar cells combined with an advanced lightweight rigid substrate using aluminum honeycomb core with high strength graphite fiber mesh facesheets. A coupon (38 cm x 38 cm) was fabricated and tested which demonstrated an array specific power of 105 W/kg and 230 W/sq m. This paper will address the construction details of the panels and an analysis of the component weights. A strawman array design suitable for a typical small-sat mission is described for each of the two panel design technologies being studied. Benefits in respect to weight reduction, area reduction, and system cost reduction are analyzed and compared to conventional arrays.

    8. State Technologies Advancement Collaborative

      SciTech Connect (OSTI)

      David S. Terry

      2012-01-30

      The U. S. Department of Energy (DOE), National Association of State Energy Officials (NASEO), and Association of State Energy Research and Technology Transfer Institutions (ASERTTI) signed an intergovernmental agreement on November 14, 2002, that allowed states and territories and the Federal Government to better collaborate on energy research, development, demonstration and deployment (RDD&D) projects. The agreement established the State Technologies Advancement Collaborative (STAC) which allowed the states and DOE to move RDD&D forward using an innovative competitive project selection and funding process. A cooperative agreement between DOE and NASEO served as the contracting instrument for this innovative federal-state partnership obligating funds from DOE's Office of Energy Efficiency and Renewable Energy and Office of Fossil Energy to plan, fund, and implement RDD&D projects that were consistent with the common priorities of the states and DOE. DOE's Golden Field Office provided Federal oversight and guidance for the STAC cooperative agreement. The STAC program was built on the foundation of prior Federal-State efforts to collaborate on and engage in joint planning for RDD&D. Although STAC builds on existing, successful programs, it is important to note that it was not intended to replace other successful joint DOE/State initiatives such as the State Energy Program or EERE Special Projects. Overall the STAC process was used to fund, through three competitive solicitations, 35 successful multi-state research, development, deployment, and demonstration projects with an overall average non-federal cost share of 43%. Twenty-two states were awarded at least one prime contract, and organizations in all 50 states and some territories were involved as subcontractors in at least one STAC project. Projects were funded in seven program areas: (1) Building Technologies, (2) Industrial Technologies, (3) Transportation Technologies, (4) Distributed Energy Resources, (5) Hydrogen Technology Learning Centers, (6) Fossil Energy, and (7) Rebuild America.

    9. ADVANCED TURBINE SYSTEMS PROGRAM

      SciTech Connect (OSTI)

      Sy Ali

      2002-03-01

      The market for power generation equipment is undergoing a tremendous transformation. The traditional electric utility industry is restructuring, promising new opportunities and challenges for all facilities to meet their demands for electric and thermal energy. Now more than ever, facilities have a host of options to choose from, including new distributed generation (DG) technologies that are entering the market as well as existing DG options that are improving in cost and performance. The market is beginning to recognize that some of these users have needs beyond traditional grid-based power. Together, these changes are motivating commercial and industrial facilities to re-evaluate their current mix of energy services. One of the emerging generating options is a new breed of advanced fuel cells. While there are a variety of fuel cell technologies being developed, the solid oxide fuel cells (SOFC) and molten carbonate fuel cells (MCFC) are especially promising, with their electric efficiency expected around 50-60 percent and their ability to generate either hot water or high quality steam. In addition, they both have the attractive characteristics of all fuel cells--relatively small siting footprint, rapid response to changing loads, very low emissions, quiet operation, and an inherently modular design lending itself to capacity expansion at predictable unit cost with reasonably short lead times. The objectives of this project are to:(1) Estimate the market potential for high efficiency fuel cell hybrids in the U.S.;(2) Segment market size by commercial, industrial, and other key markets;(3) Identify and evaluate potential early adopters; and(4) Develop results that will help prioritize and target future R&D investments. The study focuses on high efficiency MCFC- and SOFC-based hybrids and competing systems such as gas turbines, reciprocating engines, fuel cells and traditional grid service. Specific regions in the country have been identified where these technologies and the corresponding early adopters are likely to be located.

    10. Utilizing object-oriented design to build advanced optimization strategies with generic implementation

      SciTech Connect (OSTI)

      Eldred, M.S.; Hart, W.E.; Bohnhoff, W.J.; Romero, V.J.; Hutchinson, S.A.; Salinger, A.G.

      1996-08-01

      the benefits of applying optimization to computational models are well known, but their range of widespread application to date has been limited. This effort attempts to extend the disciplinary areas to which optimization algorithms may be readily applied through the development and application of advanced optimization strategies capable of handling the computational difficulties associated with complex simulation codes. Towards this goal, a flexible software framework is under continued development for the application of optimization techniques to broad classes of engineering applications, including those with high computational expense and nonsmooth, nonconvex design space features. Object-oriented software design with C++ has been employed as a tool in providing a flexible, extensible, and robust multidisciplinary toolkit with computationally intensive simulations. In this paper, demonstrations of advanced optimization strategies using the software are presented in the hybridization and parallel processing research areas. Performance of the advanced strategies is compared with a benchmark nonlinear programming optimization.

    11. Introduction to computed microtomography and applications in Earth science

      Office of Scientific and Technical Information (OSTI)

      (Book) | SciTech Connect Introduction to computed microtomography and applications in Earth science Citation Details In-Document Search Title: Introduction to computed microtomography and applications in Earth science Authors: Rivers, M. [1] + Show Author Affiliations (UC) Publication Date: 2014-12-22 OSTI Identifier: 1168409 Resource Type: Book Resource Relation: Related Information: CMS Workshop Lectures, Advanced Applications of Synchrotron Radiation in Clay Science Publisher: 2014; Tha

    12. Large Scale Production Computing and Storage Requirements for Biological

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and Environmental Research: Target 2017 Large Scale Production Computing and Storage Requirements for Biological and Environmental Research: Target 2017 BERmontage.gif September 11-12, 2012 Hilton Rockville Hotel and Executive Meeting Center 1750 Rockville Pike Rockville, MD, 20852-1699 TEL: 1-301-468-1100 Sponsored by: U.S. Department of Energy Office of Science Office of Advanced Scientific Computing Research (ASCR) Office of Biological and Environmental Research (BER) National Energy

    13. 15.01.21 RH Computational and Experimental ID - JCAP

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational and Experimental Identification of an Earth-Abundant Light Absorber for Solar Water Splitting Yan, Q. et al. Mn2V2O7: An Earth Abundant Light Absorber for Solar Water Splitting. Advanced Energy Materials, DOI: 10.1002/aenm.201401840 (2015). Scientific Achievement Computation, synthesis, and spectroscopy are used to first identify and then study the earth-abundant Mn2V2O7 as a highly promising light absorber for photocatalytic water splitting. Significance & impact The detailed

    14. Computing, Environment and Life Sciences | Argonne National Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Intranet About Us Intranet Argonne National Laboratory Computing, Environment and Life Sciences Organizations Facilities and Institutes News Events Advancing the Frontiers of Knowledge More The mission of Argonne's Computing, Environment, and Life Sciences (CELS) directorate is to enable groundbreaking scientific and technical accomplishments in areas of critical importance to the 21st century. The CELS directorate integrates Argonne's research in the life sciences with the environmental

    15. NREL: Energy Systems Integration - Computational Science and Visualization

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Science and Visualization Computational science and visualization capabilities at NREL propel technology innovation as a research tool by which scientists and engineers find new ways to tackle our nation's energy challenges-challenges that cannot be addressed through traditional experimentation alone. These efforts will save time and money, significantly improve the likelihood of breakthroughs and useful advances, and reduce risks and uncertainties that are often barriers to

    16. Edison Electrifies Scientific Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Edison Electrifies Scientific Computing Edison Electrifies Scientific Computing NERSC Flips Switch on New Flagship Supercomputer January 31, 2014 Contact: Margie Wylie, mwylie@lbl.gov, +1 510 486 7421 The National Energy Research Scientific Computing (NERSC) Center recently accepted "Edison," a new flagship supercomputer designed for scientific productivity. Named in honor of American inventor Thomas Alva Edison, the Cray XC30 will be dedicated in a ceremony held at the Department of

    17. Energy Aware Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Energy Aware Computing Energy Aware Computing Dynamic Frequency Scaling One means to lower the energy required to compute is to reduce the power usage on a node. One way to accomplish this is by lowering the frequency at which the CPU operates. However, reducing the clock speed increases the time to solution, creating a potential tradeoff. NERSC continues to examine how such methods impact its operations and its

    18. Zhihong Lin

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Zhihong Lin Zhihong Lin FES Requirements Worksheet 1.1. Project Information - SciDAC GSEP Center and GPS-TTBP Center Document Prepared By Zhihong Lin Project Title SciDAC GSEP Center and GPS-TTBP Center Principal Investigator Zhihong Lin Participating Organizations University of California, Irvine Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary & Scientific Objectives for the Next 5 Years Please give a brief description of your project - highlighting its computational

    19. KwanliuMa_NERSC2011.ppt

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Analysis and Visualization Computing Requirements A Case Study Kwan-Liu Ma University of California, Davis SciDAC Institute for Ultrascale Visualization Outline * SciDAC Institute for Ultrascale Visualization * Visualization Solutions for Turbulent Combustion Simulations * A Case Study on Particle Trajectories Data Visualization Turbulent Combustion Simulations ïŹ Jackie Chen, Sandia National Laboratory ïŹ Direct numerical simulation tools are being developed Turbulent Combustion Simulations *

    20. Terascale Simulation Tools and Technologies (Technical Report) | SciTech

      Office of Scientific and Technical Information (OSTI)

      Connect Technical Report: Terascale Simulation Tools and Technologies Citation Details In-Document Search Title: Terascale Simulation Tools and Technologies We report the development of front tracking method as a simulation tool and technology for the computation on several important SciDAC and SciDAC associated applications. The progress includes the extraction of an independent software library from the front tracking code, conservative front tracking, applications of front tracking to the

    1. Personal Computer Inventory System

      Energy Science and Technology Software Center (OSTI)

      1993-10-04

      PCIS is a database software system that is used to maintain a personal computer hardware and software inventory, track transfers of hardware and software, and provide reports.

    2. Applied Computer Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and ...

    3. Announcement of Computer Software

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      All Other Editions Are Obsolete UNITED STATES DEPARTMENT OF ENERGY ANNOUNCEMENT OF COMPUTER SOFTWARE OMB Control Number 1910-1400 (OMB Burden Disclosure Statement is on last...

    4. 60 Years of Computing | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      60 Years of Computing 60 Years of Computing

    5. Information Science, Computing, Applied Math

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Capabilities Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security ...

    6. ADVANCED MIXING MODELS

      SciTech Connect (OSTI)

      Lee, S.; Dimenna, R.; Tamburello, D.

      2011-02-14

      The process of recovering and processing High Level Waste (HLW) the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four mixers (pumps) located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are typically set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The focus of the present work is to establish mixing criteria applicable to miscible fluids, with an ultimate goal of addressing waste processing in HLW tanks at SRS and quantifying the mixing time required to suspend sludge particles with the submersible jet pump. A single-phase computational fluid dynamics (CFD) approach was taken for the analysis of jet flow patterns with an emphasis on the velocity decay and the turbulent flow evolution for the farfield region from the pump. Literature results for a turbulent jet flow are reviewed, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. The work described in this report suggests a basis for further development of the theory leading to the identified mixing indicators, with benchmark analyses demonstrating their consistency with widely accepted correlations. Although the indicators are somewhat generic in nature, they are applied to Savannah River Site (SRS) waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. One of the main objectives in the waste processing is to provide feed of a uniform slurry composition at a certain weight percentage (e.g. typically {approx}13 wt% at SRS) over an extended period of time. In preparation of the sludge for slurrying, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination?

    7. Energy Department Seeks Proposals to Use Scientific Computing Resources at Lawrence Berkeley, Oak Ridge National Laboratories

      Broader source: Energy.gov [DOE]

      WASHINGTON, DC -- Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science is seeking proposals to support computational science projects to enable high-impact advances...

    8. FINITE ELEMENT MODELS FOR COMPUTING SEISMIC INDUCED SOIL PRESSURES ON DEEPLY EMBEDDED NUCLEAR POWER PLANT STRUCTURES.

      SciTech Connect (OSTI)

      XU, J.; COSTANTINO, C.; HOFMAYER, C.

      2006-06-26

      PAPER DISCUSSES COMPUTATIONS OF SEISMIC INDUCED SOIL PRESSURES USING FINITE ELEMENT MODELS FOR DEEPLY EMBEDDED AND OR BURIED STIFF STRUCTURES SUCH AS THOSE APPEARING IN THE CONCEPTUAL DESIGNS OF STRUCTURES FOR ADVANCED REACTORS.

    9. Advanced Conversion Roadmap Workshop | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Conversion Roadmap Workshop Advanced Conversion Roadmap Workshop DOE introduction slides to the Advanced Conversion Roadmap Workshop webinar. PDF icon ctab_webinar_doe.pdf More Documents & Publications Conversion Technologies for Advanced Biofuels - Bio-Oil Production Conversion Technologies for Advanced Biofuels - Bio-Oil Upgrading Technology Pathway Selection Effort

    10. Draft Advanced Fossil Solicitation | Department of Energy

      Office of Environmental Management (EM)

      Draft Advanced Fossil Solicitation Draft Advanced Fossil Solicitation Federal loan guarantee solicitation announcement -- Advanced Fossil Energy Projects. PDF icon Microsoft Word - Draft Advanced Fossil Solicitation Final Draft.1 More Documents & Publications Federal Loan Guarantees for Projects that Manufacture Commercial Technology Renewable Energy Systems and Components: August 10, 2010 Advanced-Fossil-Energy-Projects-Loan-Guarantee-Solicitation_COMPLETE_22-Apr-2015 Nuclear Power

    11. NNSA?s Computing Strategy, Acquisition Plan, and Basis for Computing Time Allocation

      SciTech Connect (OSTI)

      Nikkel, D J

      2009-07-21

      This report is in response to the Omnibus Appropriations Act, 2009 (H.R. 1105; Public Law 111-8) in its funding of the National Nuclear Security Administration's (NNSA) Advanced Simulation and Computing (ASC) Program. This bill called for a report on ASC's plans for computing and platform acquisition strategy in support of stockpile stewardship. Computer simulation is essential to the stewardship of the nation's nuclear stockpile. Annual certification of the country's stockpile systems, Significant Finding Investigations (SFIs), and execution of Life Extension Programs (LEPs) are dependent on simulations employing the advanced ASC tools developed over the past decade plus; indeed, without these tools, certification would not be possible without a return to nuclear testing. ASC is an integrated program involving investments in computer hardware (platforms and computing centers), software environments, integrated design codes and physical models for these codes, and validation methodologies. The significant progress ASC has made in the past derives from its focus on mission and from its strategy of balancing support across the key investment areas necessary for success. All these investment areas must be sustained for ASC to adequately support current stockpile stewardship mission needs and to meet ever more difficult challenges as the weapons continue to age or undergo refurbishment. The appropriations bill called for this report to address three specific issues, which are responded to briefly here but are expanded upon in the subsequent document: (1) Identify how computing capability at each of the labs will specifically contribute to stockpile stewardship goals, and on what basis computing time will be allocated to achieve the goal of a balanced program among the labs. (2) Explain the NNSA's acquisition strategy for capacity and capability of machines at each of the labs and how it will fit within the existing budget constraints. (3) Identify the technical challenges facing the program and a strategy to resolve them.

    12. Computer Processor Allocator

      Energy Science and Technology Software Center (OSTI)

      2004-03-01

      The Compute Processor Allocator (CPA) provides an efficient and reliable mechanism for managing and allotting processors in a massively parallel (MP) computer. It maintains information in a database on the health. configuration and allocation of each processor. This persistent information is factored in to each allocation decision. The CPA runs in a distributed fashion to avoid a single point of failure.

    13. SC e-journals, Computer Science

      Office of Scientific and Technical Information (OSTI)

      & Mathematical Organization Theory Computational Complexity Computational Economics Computational Management ... Technology EURASIP Journal on Information Security ...

    14. Ultra-Scale Computing for Emergency Evacuation

      SciTech Connect (OSTI)

      Bhaduri, Budhendra L; Nutaro, James J; Liu, Cheng; Zacharia, Thomas

      2010-01-01

      Emergency evacuations are carried out in anticipation of a disaster such as hurricane landfall or flooding, and in response to a disaster that strikes without a warning. Existing emergency evacuation modeling and simulation tools are primarily designed for evacuation planning and are of limited value in operational support for real time evacuation management. In order to align with desktop computing, these models reduce the data and computational complexities through simple approximations and representations of real network conditions and traffic behaviors, which rarely represent real-world scenarios. With the emergence of high resolution physiographic, demographic, and socioeconomic data and supercomputing platforms, it is possible to develop micro-simulation based emergency evacuation models that can foster development of novel algorithms for human behavior and traffic assignments, and can simulate evacuation of millions of people over a large geographic area. However, such advances in evacuation modeling and simulations demand computational capacity beyond the desktop scales and can be supported by high performance computing platforms. This paper explores the motivation and feasibility of ultra-scale computing for increasing the speed of high resolution emergency evacuation simulations.

    15. FY13 Computer Science FAQ | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      2013 Exascale Operating and Runtime Systems Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Closed Funding Opportunity Announcements (FOAs) Closed Lab Announcements Award Search / Public Abstracts Additional Requirements and Guidance for Digital Data Management 2013 Exascale Operating and Runtime Systems RX-Solvers FAQ 2015 EXPRESS FAQ .pdf file (90KB) Advanced Scientific Computing Advisory Committee

    16. ADVANCED CUTTINGS TRANSPORT STUDY

      SciTech Connect (OSTI)

      Stefan Miska; Troy Reed; Ergun Kuru

      2004-09-30

      The Advanced Cuttings Transport Study (ACTS) was a 5-year JIP project undertaken at the University of Tulsa (TU). The project was sponsored by the U.S. Department of Energy (DOE) and JIP member companies. The objectives of the project were: (1) to develop and construct a new research facility that would allow three-phase (gas, liquid and cuttings) flow experiments under ambient and EPET (elevated pressure and temperature) conditions, and at different angle of inclinations and drill pipe rotation speeds; (2) to conduct experiments and develop a data base for the industry and academia; and (3) to develop mechanistic models for optimization of drilling hydraulics and cuttings transport. This project consisted of research studies, flow loop construction and instrumentation development. Following a one-year period for basic flow loop construction, a proposal was submitted by TU to the DOE for a five-year project that was organized in such a manner as to provide a logical progression of research experiments as well as additions to the basic flow loop. The flow loop additions and improvements included: (1) elevated temperature capability; (2) two-phase (gas and liquid, foam etc.) capability; (3) cuttings injection and removal system; (4) drill pipe rotation system; and (5) drilling section elevation system. In parallel with the flow loop construction, hydraulics and cuttings transport studies were preformed using drilling foams and aerated muds. In addition, hydraulics and rheology of synthetic drilling fluids were investigated. The studies were performed under ambient and EPET conditions. The effects of temperature and pressure on the hydraulics and cuttings transport were investigated. Mechanistic models were developed to predict frictional pressure loss and cuttings transport in horizontal and near-horizontal configurations. Model predictions were compared with the measured data. Predominantly, model predictions show satisfactory agreements with the measured data. As a part of this project, instrumentation was developed to monitor cuttings beds and characterize foams in the flow loop. An ultrasonic-based monitoring system was developed to measure cuttings bed thickness in the flow loop. Data acquisition software controls the system and processes the data. Two foam generating devices were designed and developed to produce foams with specified quality and texture. The devices are equipped with a bubble recognition system and an in-line viscometer to measure bubble size distribution and foam rheology, respectively. The 5-year project is completed. Future research activities will be under the umbrella of Tulsa University Drilling Research Projects. Currently the flow loop is being used for testing cuttings transport capacity of aqueous and polymer-based foams under elevated pressure and temperature conditions. Subsequently, the effect of viscous sweeps on cuttings transport under elevated pressure and temperature conditions will be investigated using the flow loop. Other projects will follow now that the ''steady state'' phase of the project has been achieved.

    17. ADVANCED HYBRID PARTICULATE COLLECTOR

      SciTech Connect (OSTI)

      Ye Zhuang; Stanley J. Miller; Michelle R. Olderbak; Rich Gebert

      2001-12-01

      A new concept in particulate control, called an advanced hybrid particulate collector (AHPC), is being developed under funding from the U.S. Department of Energy. The AHPC combines the best features of electrostatic precipitators (ESPs) and baghouses in an entirely novel manner. The AHPC concept combines fabric filtration and electrostatic precipitation in the same housing, providing major synergism between the two methods, both in the particulate collection step and in transfer of dust to the hopper. The AHPC provides ultrahigh collection efficiency, overcoming the problem of excessive fine-particle emissions with conventional ESPs, and solves the problem of reentrainment and re-collection of dust in conventional baghouses. Phase I of the development effort consisted of design, construction, and testing of a 5.7-m{sup 3}/min (200-acfm) working AHPC model. Results from both 8-hr parametric tests and 100-hr proof-of-concept tests with two different coals demonstrated excellent operability and greater than 99.99% fine-particle collection efficiency. Since all of the developmental goals of Phase I were met, the approach was scaled up in Phase II to a size of 255 m{sup 3}/min (9000 acfm) (equivalent in size to 2.5 MW) and was installed on a slipstream at the Big Stone Power Plant. For Phase II, the AHPC at Big Stone Power Plant was operated continuously from late July 1999 until mid-December 1999. The Phase II results were highly successful in that ultrahigh particle collection efficiency was achieved, pressure drop was well controlled, and system operability was excellent. For Phase III, the AHPC was modified into a more compact configuration, and components were installed that were closer to what would be used in a full-scale commercial design. The modified AHPC was operated from April to July 2000. While operational results were acceptable during this time, inspection of bags in the summer of 2000 revealed some membrane damage to the fabric that appeared to be caused by electrical effects. Subsequently, extensive theoretical, bench-scale, and pilot-scale investigations were completed to find an approach to prevent bag damage without compromising AHPC performance. Results showed that the best bag protection and AHPC performance were achieved by using a perforated plate installed between the discharge electrodes and bags. This perforated-plate design was then installed in the 2.5-MW AHPC at Big Stone Power Plant in Big Stone City, South Dakota, and the AHPC was operated from March to June 2001. Results showed that the perforated-plate design solved the bag damage problem and offered even better AHPC performance than the previous design. All of the AHPC performance goals were met, including ultrahigh collection efficiency, high air-to-cloth ratio, reasonable pressure drop, and long bag-cleaning interval.

    18. Advanced Integrated Traction System

      SciTech Connect (OSTI)

      Greg Smith; Charles Gough

      2011-08-31

      The United States Department of Energy elaborates the compelling need for a commercialized competitively priced electric traction drive system to proliferate the acceptance of HEVs, PHEVs, and FCVs in the market. The desired end result is a technically and commercially verified integrated ETS (Electric Traction System) product design that can be manufactured and distributed through a broad network of competitive suppliers to all auto manufacturers. The objectives of this FCVT program are to develop advanced technologies for an integrated ETS capable of 55kW peak power for 18 seconds and 30kW of continuous power. Additionally, to accommodate a variety of automotive platforms the ETS design should be scalable to 120kW peak power for 18 seconds and 65kW of continuous power. The ETS (exclusive of the DC/DC Converter) is to cost no more than $660 (55kW at $12/kW) to produce in quantities of 100,000 units per year, should have a total weight less than 46kg, and have a volume less than 16 liters. The cost target for the optional Bi-Directional DC/DC Converter is $375. The goal is to achieve these targets with the use of engine coolant at a nominal temperature of 105C. The system efficiency should exceed 90% at 20% of rated torque over 10% to 100% of maximum speed. The nominal operating system voltage is to be 325V, with consideration for higher voltages. This project investigated a wide range of technologies, including ETS topologies, components, and interconnects. Each technology and its validity for automotive use were verified and then these technologies were integrated into a high temperature ETS design that would support a wide variety of applications (fuel cell, hybrids, electrics, and plug-ins). This ETS met all the DOE 2010 objectives of cost, weight, volume and efficiency, and the specific power and power density 2015 objectives. Additionally a bi-directional converter was developed that provides charging and electric power take-off which is the first step towards enabling a smart-grid application. GM under this work assessed 29 technologies; investigated 36 configurations/types power electronics and electric machines, filed 41 invention disclosures; and ensured technology compatibility with vehicle production. Besides the development of a high temperature ETS the development of industrial suppliers took place because of this project. Suppliers of industrial power electronic components are numerous, but there are few that have traction drive knowledge. This makes it difficult to achieve component reliability, durability, and cost requirements necessary of high volume automotive production. The commercialization of electric traction systems for automotive industry requires a strong diverse supplier base. Developing this supplier base is dependent on a close working relationship between the OEM and supplier so that appropriate component requirements can be developed. GM has worked closely with suppliers to develop components for electric traction systems. Components that have been the focus of this project are power modules, capacitors, heavy copper boards, current sensors, and gate drive and controller chip sets. Working with suppliers, detailed component specifications have been developed. Current, voltage, and operation environment during the vehicle drive cycle were evaluated to develop higher resolution/accurate component specifications.

    19. APS Podcasts | Advanced Photon Source

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      of Art Preservation and Connoisseurship August 14, 2007; mp3 - 1.88MB Franceska Casadio, Art Institute of Chicago: November 3, 2004 The Advanced Photon Source (videomp4) August...

    20. ADVANCED RESEARCH PROJECTS AGENCY - ENERGY ...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      5 - 2013 2014 2015 2016 ADVANCED RESEARCH PROJECTS AGENCY - ENERGY Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr...