National Library of Energy BETA

Sample records for advanced scientific computing

  1. 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, ... The DOE Office of Science's Advanced Scientific Computing Research (ASCR) program ...

  2. 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

  3. Advanced Scientific Computing Research (ASCR)

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

    ... ASCR's programs have helped establish computation as a third pillar of science along with theory and physical experiments. Sandia has extensive ASCR programs in Computer Science ...

  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. 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

  6. Advanced Scientific Computing Research Network Requirements

    SciTech Connect (OSTI)

    Bacon, Charles; Bell, Greg; Canon, Shane; Dart, Eli; Dattoria, Vince; Goodwin, Dave; Lee, Jason; Hicks, Susan; Holohan, Ed; Klasky, Scott; Lauzon, Carolyn; Rogers, Jim; Shipman, Galen; Skinner, David; Tierney, Brian

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  7. Energy Department Requests Proposals for Advanced Scientific Computing

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

    Research | Department of Energy 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 Scientific Discovery

  8. NERSC Role in Advanced Scientific Computing Research Katherine Yelick

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

    Advanced Scientific Computing Research Katherine Yelick NERSC Director Requirements Workshop NERSC Mission The mission of the National Energy Research Scientific Computing Center (NERSC) is to accelerate the pace of scientific discovery by providing high performance computing, information, data, and communications services for all DOE Office of Science (SC) research. Sample Scientific Accomplishments at NERSC 3 Award-winning software uses massively-parallel supercomputing to map hydrocarbon

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

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

    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

  10. DOE Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee Report on Scientific and Technical Information

    SciTech Connect (OSTI)

    Hey, Tony; Agarwal, Deborah; Borgman, Christine; Cartaro, Concetta; Crivelli, Silvia; Van Dam, Kerstin Kleese; Luce, Richard; Arjun, Shankar; Trefethen, Anne; Wade, Alex; Williams, Dean

    2015-09-04

    The Advanced Scientific Computing Advisory Committee (ASCAC) was charged to form a standing subcommittee to review the Department of Energy’s Office of Scientific and Technical Information (OSTI) and to begin by assessing the quality and effectiveness of OSTI’s recent and current products and services and to comment on its mission and future directions in the rapidly changing environment for scientific publication and data. The Committee met with OSTI staff and reviewed available products, services and other materials. This report summaries their initial findings and recommendations.

  11. Advanced Scientific Computing Research (ASCR) Homepage | U.S...

    Office of Science (SC) Website

    Edison Dedication External link Users are invited to make heavy use of new computer as ... computing, including the need for a new scientific workflow.Read More .pdf file ...

  12. 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.

  13. 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.

  14. ADVANCED SCIENTIFIC COMPUTING ADVISORY COMMITTEE April 4, 2016 | U.S. DOE

    Office of Science (SC) Website

    Office of Science (SC) 16 Advanced Scientific Computing Advisory Committee (ASCAC) ASCAC Home Meetings September 2016 April 2016 December 2015 July 2015 March 2015 November 2014 March 2014 November 2013 March 2013 October 2012 August 2012 March 2012 November 2011 August 2011 March 2011 November 2010 August 2010 March 2010 November 2009 August 2009 March 2009 October 2008 August 2008 February 2008 November 2007 August 2007 February 2007 November 2006 August 2006 March 2006 April 2004 March

  15. DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges

    SciTech Connect (OSTI)

    Lucas, Robert; Ang, James; Bergman, Keren; Borkar, Shekhar; Carlson, William; Carrington, Laura; Chiu, George; Colwell, Robert; Dally, William; Dongarra, Jack; Geist, Al; Haring, Rud; Hittinger, Jeffrey; Hoisie, Adolfy; Klein, Dean Micron; Kogge, Peter; Lethin, Richard; Sarkar, Vivek; Schreiber, Robert; Shalf, John; Sterling, Thomas; Stevens, Rick; Bashor, Jon; Brightwell, Ron; Coteus, Paul; Debenedictus, Erik; Hiller, Jon; Kim, K. H.; Langston, Harper; Murphy, Richard Micron; Webster, Clayton; Wild, Stefan; Grider, Gary; Ross, Rob; Leyffer, Sven; Laros III, James

    2014-02-10

    Exascale computing systems are essential for the scientific fields that will transform the 21st century global economy, including energy, biotechnology, nanotechnology, and materials science. Progress in these fields is predicated on the ability to perform advanced scientific and engineering simulations, and analyze the deluge of data. On July 29, 2013, ASCAC was charged by Patricia Dehmer, the Acting Director of the Office of Science, to assemble a subcommittee to provide advice on exascale computing. This subcommittee was directed to return a list of no more than ten technical approaches (hardware and software) that will enable the development of a system that achieves the Department's goals for exascale computing. Numerous reports over the past few years have documented the technical challenges and the non¬-viability of simply scaling existing computer designs to reach exascale. The technical challenges revolve around energy consumption, memory performance, resilience, extreme concurrency, and big data. Drawing from these reports and more recent experience, this ASCAC subcommittee has identified the top ten computing technology advancements that are critical to making a capable, economically viable, exascale system.

  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. Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report

    SciTech Connect (OSTI)

    Hoffman, Forest M.; Bochev, Pavel B.; Cameron-Smith, Philip J..; Easter, Richard C; Elliott, Scott M.; Ghan, Steven J.; Liu, Xiaohong; Lowrie, Robert B.; Lucas, Donald D.; Ma, Po-lun; Sacks, William J.; Shrivastava, Manish; Singh, Balwinder; Tautges, Timothy J.; Taylor, Mark A.; Vertenstein, Mariana; Worley, Patrick H.

    2014-01-15

    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 uncertainty, aerosols and biospheric feedbacks, with a highly efficient computational approach. In particular, this project is implementing and optimizing new computationally efficient tracer advection algorithms for large numbers of tracer species; adding important biogeochemical interactions between the atmosphere, land, and ocean models; and applying uncertainty quanti cation (UQ) techniques to constrain process parameters and evaluate uncertainties in feedbacks between biogeochemical cycles and the climate system.

  18. Scientific Cloud Computing Misconceptions

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

    Scientific Cloud Computing Misconceptions Scientific Cloud Computing Misconceptions July 1, 2011 Part of the Magellan project was to understand both the possibilities and the limitations of cloud computing in the pursuit of science. At a recent conference, Magellan investigator Shane Canon outlined some persistent misconceptions about doing science in the cloud - and what Magellan has taught us about them. » Read the ISGTW story. » Download the slides (PDF, 4.1MB

  19. Helping Advance the Scientific Foundation that Enables Major...

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

    ... Quantum Optics Polariton Lasing Unconventional Lasing Enabling Energy Efficiency ... Fusion Energy Sciences Advanced Scientific Computing Research (ASCR) Biological and ...

  20. National Energy Research Scientific Computing Center

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

    Scientific Computing Center 2004 annual report Cover image: Visualization based on a simulation of the density of a fuel pellet after it is injected into a tokamak fusion reactor. See page 40 for more information. National Energy Research Scientific Computing Center 2004 annual report Ernest Orlando Lawrence Berkeley National Laboratory * University of California * Berkeley, California 94720 This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing

  1. 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.

  2. 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

  3. Edison Electrifies Scientific Computing

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

    ... Deployment of Edison was made possible in part by funding from DOE's Office of Science and the DARPA High Productivity Computing Systems program. DOE's Office of Science is the ...

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

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

    integrates applied mathematics, computer science and computational science in the physical, biological and environmental sciences for scientific discovery on petascale computers. ...

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

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

    About the 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

  6. Center for Technology for Advanced Scientific Component Software (TASCS)

    SciTech Connect (OSTI)

    Damevski, Kostadin

    2009-03-30

    A resounding success of the Scientific Discover through Advanced Computing (SciDAC) program is that high-performance computational science is now universally recognized as a critical aspect of scientific discovery [71], complementing both theoretical and experimental research. As scientific communities prepare to exploit unprecedened computing capabilities of emerging leadership-class machines for multi-model simulations at the extreme scale [72], it is more important than ever to address the technical and social challenges of geographically distributed teams that combine expertise in domain science, applied mathematics, and computer science to build robust and flexible codes that can incorporate changes over time. The Center for Technology for Advanced Scientific Component Software (TASCS) tackles these issues by exploiting component-based software development to facilitate collaborative hig-performance scientific computing.

  7. DOE Supercomputing Resources Available for Advancing Scientific

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

    Breakthroughs | Department of Energy Supercomputing Resources Available for Advancing Scientific Breakthroughs DOE Supercomputing Resources Available for Advancing Scientific Breakthroughs April 15, 2009 - 12:00am Addthis Washington, DC - The U.S. Department of Energy (DOE) announced today it is accepting proposals for a program to support high-impact scientific advances through the use of some of the world's most powerful supercomputers located at DOE national laboratories. Approximately

  8. 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

  9. NERSC National Energy Research Scientific Computing Center

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

    National Energy Research Scientific Computing Center 2007 Annual Report National Energy Research Scientific Computing Center 2007 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 Ad- vanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. LBNL-1143E, October 2008 iii National Energy Research Scientific Computing

  10. 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

  11. Sandia National Laboratories: Advanced Simulation and Computing

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

    Facebook Twitter YouTube Flickr RSS Advanced Simulation and Computing Advanced Simulation and Computing Taking on the World's Complex Challenges Advancing Science Frontiers Our research is producing new scientific insights about the world in which we live and assists in certifying the safety and reliability of the nation's nuclear weapons stockpile. Technology Provides the Tools Growth in data and the software and hardware demands needed for physics-based answers and predictive capabilities are

  12. Advanced Scientific Computing Research Jobs

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

  13. 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

  14. PIA - Advanced Test Reactor National Scientific User Facility...

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

    Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor National Scientific User Facility Users Week 2009 (316.78 KB) More Documents & ...

  15. Fermilab | Science | Particle Physics | Scientific Computing

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

    Scientific Computing Feynman Computing Center State-of-the-art computing facilities and expertise drive successful research in experimental and theoretical particle physics. Fermilab is a pioneer in managing "big data" and counts scientific computing as one of its core competencies. For scientists to understand the huge amounts of raw information coming from particle physics experiments, they must process, analyze and compare the information to simulations. To accomplish these feats,

  16. 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.

  17. 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...

  18. Recap: Advancing Scientific Innovation at the National Labs | Department of

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

    Energy Advancing Scientific Innovation at the National Labs Recap: Advancing Scientific Innovation at the National Labs April 3, 2014 - 1:00pm Addthis Ben Dotson Ben Dotson Former Project Coordinator for Digital Reform, Office of Public Affairs Advancing Scientific Innovation at the National Labs During the month of March, we featured the Energy Department's National Labs and how they are advancing scientific innovation through user facilities and industry partnerships. Storified by Energy

  19. PIA - Advanced Test Reactor National Scientific User Facility Users Week

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

    2009 | Department of Energy Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor National Scientific User Facility Users Week 2009 (316.78 KB) More Documents & Publications PIA - INL SECURITY INFORMATION MANAGEMENT SYSTEM BUSINESS ENCLAVE PIA - INL Education Programs Business Enclav

  20. Scientific Computing at Los Alamos National Laboratory (Conference...

    Office of Scientific and Technical Information (OSTI)

    Scientific Computing at Los Alamos National Laboratory Citation Details In-Document Search Title: Scientific Computing at Los Alamos National Laboratory You are accessing a ...

  1. Can Cloud Computing Address the Scientific Computing Requirements...

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

    the ever-increasing computational needs of scientists, Department of Energy ... and as the largest funder of basic scientific research in the U.S., DOE was interested in ...

  2. Exploring HPCS Languages in Scientific Computing

    SciTech Connect (OSTI)

    Barrett, Richard F; Alam, Sadaf R; de Almeida, Valmor F; Bernholdt, David E; Elwasif, Wael R; Kuehn, Jeffery A; Poole, Stephen W; Shet, Aniruddha G

    2008-01-01

    As computers scale up dramatically to tens and hundreds of thousands of cores, develop deeper computational and memory hierarchies, and increased heterogeneity, developers of scientific software are increasingly challenged to express complex parallel simulations effectively and efficiently. In this paper, we explore the three languages developed under the DARPA High-Productivity Computing Systems (HPCS) program to help address these concerns: Chapel, Fortress, and X10. These languages provide a variety of features not found in currently popular HPC programming environments and make it easier to express powerful computational constructs, leading to new ways of thinking about parallel programming. Though the languages and their implementations are not yet mature enough for a comprehensive evaluation, we discuss some of the important features, and provide examples of how they can be used in scientific computing. We believe that these characteristics will be important to the future of high-performance scientific computing, whether the ultimate language of choice is one of the HPCS languages or something else.

  3. (Sparsity in large scale scientific computation)

    SciTech Connect (OSTI)

    Ng, E.G.

    1990-08-20

    The traveler attended a conference organized by the 1990 IBM Europe Institute at Oberlech, Austria. The theme of the conference was on sparsity in large scale scientific computation. The conference featured many presentations and other activities of direct interest to ORNL research programs on sparse matrix computations and parallel computing, which are funded by the Applied Mathematical Sciences Subprogram of the DOE Office of Energy Research. The traveler presented a talk on his work at ORNL on the development of efficient algorithms for solving sparse nonsymmetric systems of linear equations. The traveler held numerous technical discussions on issues having direct relevance to the research programs on sparse matrix computations and parallel computing at ORNL.

  4. Center for Technology for Advanced Scientific Component Software (TASCS) Consolidated Progress Report July 2006 - March 2009

    SciTech Connect (OSTI)

    Bernholdt, D E; McInnes, L C; Govindaraju, M; Bramley, R; Epperly, T; Kohl, J A; Nieplocha, J; Armstrong, R; Shasharina, S; Sussman, A L; Sottile, M; Damevski, K

    2009-04-14

    A resounding success of the Scientific Discovery through Advanced Computing (SciDAC) program is that high-performance computational science is now universally recognized as a critical aspect of scientific discovery [71], complementing both theoretical and experimental research. As scientific communities prepare to exploit unprecedented computing capabilities of emerging leadership-class machines for multi-model simulations at the extreme scale [72], it is more important than ever to address the technical and social challenges of geographically distributed teams that combine expertise in domain science, applied mathematics, and computer science to build robust and flexible codes that can incorporate changes over time. The Center for Technology for Advanced Scientific Component Software (TASCS) tackles these issues by exploiting component-based software development to facilitate collaborative high-performance scientific computing.

  5. Magellan Explores Cloud Computing for DOE's Scientific Mission

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

    Explores Cloud Computing for DOE's Scientific Mission Magellan Explores Cloud Computing for DOE's Scientific Mission March 30, 2011 Cloud Control -This is a picture of the Magellan management and network control racks at NERSC. To test cloud computing for scientific capability, NERSC and the Argonne Leadership Computing Facility (ALCF) installed purpose-built testbeds for running scientific applications on the IBM iDataPlex cluster. (Photo Credit: Roy Kaltschmidt) Cloud computing is gaining

  6. Sandia National Laboratories: Advanced Simulation and Computing:

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

    Computational Systems & Software Environment Computational Systems & Software Environment Advanced Simulation and Computing Computational Systems & Software Environment Integrated Codes Physics & Engineering Models Verification & Validation Facilities Operation & User Support Research & Collaboration Contact ASC Advanced Simulation and Computing Computational Systems & Software Environment Crack Modeling The Computational Systems & Software Environment

  7. Final Report for "Center for Technology for Advanced Scientific Component Software"

    SciTech Connect (OSTI)

    Svetlana Shasharina

    2010-12-01

    The goal of the Center for Technology for Advanced Scientific Component Software is to fundamentally changing the way scientific software is developed and used by bringing component-based software development technologies to high-performance scientific and engineering computing. The role of Tech-X work in TASCS project is to provide an outreach to accelerator physics and fusion applications by introducing TASCS tools into applications, testing tools in the applications and modifying the tools to be more usable.

  8. Advanced Simulation and Computing Program

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

    Advanced Simulation and Computing (ASC) Program Unstable intermixing of heavy (sulfur hexafluoride) and light fluid (air). Show Caption Turbulence generated by unstable fluid flow. Show Caption Examining the effects of a one-megaton nuclear energy source detonated on the surface of an asteroid. Show Caption Los Alamos National Laboratory is home to two of the world's most powerful supercomputers, each capable of performing more than 1,000 trillion operations per second. The newer one, Cielo, was

  9. Institute for Scientific Computing Research Fiscal Year 2002 Annual Report

    SciTech Connect (OSTI)

    Keyes, D E; McGraw, J R; Bodtker, L K

    2003-03-11

    The Institute for Scientific Computing Research (ISCR) at Lawrence Livermore National Laboratory is jointly administered by the Computing Applications and Research Department (CAR) and the University Relations Program (URP), and this joint relationship expresses its mission. An extensively externally networked ISCR cost-effectively expands the level and scope of national computational science expertise available to the Laboratory through CAR. The URP, with its infrastructure for managing six institutes and numerous educational programs at LLNL, assumes much of the logistical burden that is unavoidable in bridging the Laboratory's internal computational research environment with that of the academic community. As large-scale simulations on the parallel platforms of DOE's Advanced Simulation and Computing (ASCI) become increasingly important to the overall mission of LLNL, the role of the ISCR expands in importance, accordingly. Relying primarily on non-permanent staffing, the ISCR complements Laboratory research in areas of the computer and information sciences that are needed at the frontier of Laboratory missions. The ISCR strives to be the ''eyes and ears'' of the Laboratory in the computer and information sciences, in keeping the Laboratory aware of and connected to important external advances. It also attempts to be ''feet and hands, in carrying those advances into the Laboratory and incorporating them into practice. In addition to conducting research, the ISCR provides continuing education opportunities to Laboratory personnel, in the form of on-site workshops taught by experts on novel software or hardware technologies. The ISCR also seeks to influence the research community external to the Laboratory to pursue Laboratory-related interests and to train the workforce that will be required by the Laboratory. Part of the performance of this function is interpreting to the external community appropriate (unclassified) aspects of the Laboratory's own contributions

  10. ASCR Cybersecurity for Scientific Computing Integrity

    SciTech Connect (OSTI)

    Piesert, Sean

    2015-02-27

    The Department of Energy (DOE) has the responsibility to address the energy, environmental, and nuclear security challenges that face our nation. Much of DOE’s enterprise involves distributed, collaborative teams; a signi¬cant fraction involves “open science,” which depends on multi-institutional, often international collaborations that must access or share signi¬cant amounts of information between institutions and over networks around the world. The mission of the Office of Science is the delivery of scienti¬c discoveries and major scienti¬c tools to transform our understanding of nature and to advance the energy, economic, and national security of the United States. The ability of DOE to execute its responsibilities depends critically on its ability to assure the integrity and availability of scienti¬c facilities and computer systems, and of the scienti¬c, engineering, and operational software and data that support its mission.

  11. 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...

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

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

    * Human interface * Machine interfaces: RESTJSON Net Almanac: Example You got your ... - http:graphite.wikidot.com * REST - http:www.infoq.comarticles...

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

    Office of Scientific and Technical Information (OSTI)

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

  14. Barbara Helland Advanced Scientific Computing Research NERSC...

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

    rive d iscussions Program R equirements R eviews Program offices evaluated every two-three years Participants include program managers, PI Scientists, ESnetNERSC staff...

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

    Office of Scientific and Technical Information (OSTI)

    Intel Institute for Defense Analyses University of California, San Diego IBM DARPA NVIDIA University of Tennessee Oak Ridge National Laboratory Lawrence Livermore ...

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

    Office of Science (SC) Website

    All times listed are given in Eastern Standard Time we request that members of the public notify the DFO, Christine Chalk, that you intend to call into the meeting via email ...

  17. Scientific and Computational Challenges of the Fusion Simulation Program (FSP)

    SciTech Connect (OSTI)

    William M. Tang

    2011-02-09

    This paper highlights the scientific and computational challenges facing the Fusion Simulation Program (FSP) a major national initiative in the United States with the primary objective being to enable scientific discovery of important new plasma phenomena with associated understanding that emerges only upon integration. This requires developing a predictive integrated simulation capability for magnetically-confined fusion plasmas that are properly validated against experiments in regimes relevant for producing practical fusion energy. It is expected to provide a suite of advanced modeling tools for reliably predicting fusion device behavior with comprehensive and targeted science-based simulations of nonlinearly-coupled phenomena in the core plasma, edge plasma, and wall region on time and space scales required for fusion energy production. As such, it will strive to embody the most current theoretical and experimental understanding of magnetic fusion plasmas and to provide a living framework for the simulation of such plasmas as the associated physics understanding continues to advance over the next several decades. Substantive progress on answering the outstanding scientific questions in the field will drive the FSP toward its ultimate goal of developing the ability to predict the behavior of plasma discharges in toroidal magnetic fusion devices with high physics fidelity on all relevant time and space scales. From a computational perspective, this will demand computing resources in the petascale range and beyond together with the associated multi-core algorithmic formulation needed to address burning plasma issues relevant to ITER - a multibillion dollar collaborative experiment involving seven international partners representing over half the world's population. Even more powerful exascale platforms will be needed to meet the future challenges of designing a demonstration fusion reactor (DEMO). Analogous to other major applied physics modeling projects (e

  18. National Energy Research Scientific Computing Center | U.S. DOE...

    Office of Science (SC) Website

    National Labs, Profiles, and Contacts National Energy Research Scientific Computing ... Technology Transfer U.S. Department of Energy SC-29Germantown Building 1000 ...

  19. The National Energy Research Scientific Computing Center: Forty...

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

    The National Energy Research Scientific Computing Center: Forty Years of Supercomputing ... discovery has been evident in both simulation and data analysis for many years. ...

  20. National Energy Research Scientific Computing Center NERSC Exceeds...

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

    Scientific Computing Center NERSC Exceeds Reliability Standards With Tape-Based Active ... on the archive, NERSC's storage capacity and reliability requirements are significant. ...

  1. Energy Department Seeks Proposals to Use Scientific Computing Resources at

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

    Lawrence Berkeley, Oak Ridge National Laboratories | Department of Energy Proposals to Use Scientific Computing Resources at Lawrence Berkeley, Oak Ridge National Laboratories Energy Department Seeks Proposals to Use Scientific Computing Resources at Lawrence Berkeley, Oak Ridge National Laboratories June 29, 2005 - 1:50pm Addthis WASHINGTON, DC -- Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science is seeking proposals to support computational science projects

  2. National Energy Research Scientific Computing Center

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

    ... use include on-demand computing functionality for ... mega-electron volts per meter before the metal breaks down. ... been collaborating with earth scientists at Berkeley Lab ...

  3. Initial explorations of ARM processors for scientific computing...

    Office of Scientific and Technical Information (OSTI)

    DOE Contract Number: AC02-07CH11359 Resource Type: Conference Resource Relation: Conference: 15th International Workshop on Advanced Computing and Analysis Techniques in Physics ...

  4. NERSC, Cray Move Forward With Next-Generation Scientific Computing

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

    NERSC, Cray Move Forward With Next-Generation Scientific Computing NERSC, Cray Move Forward With Next-Generation Scientific Computing New Cray XC40 will be first supercomputer in Berkeley Lab's new Computational Research and Theory facility April 22, 2015 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 NewCRT.jpg The Cori Phase 1 system will be the first supercomputer installed in the new Computational Research and Theory Facility now in the final stages of construction at Lawrence Berkeley

  5. Scientific computations section monthly report, November 1993

    SciTech Connect (OSTI)

    Buckner, M.R.

    1993-12-30

    This progress report from the Savannah River Technology Center contains abstracts from papers from the computational modeling, applied statistics, applied physics, experimental thermal hydraulics, and packaging and transportation groups. Specific topics covered include: engineering modeling and process simulation, criticality methods and analysis, plutonium disposition.

  6. Helping Advance the Scientific Foundation that Enables Major Efficiency

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

    Improvements Helping Advance the Scientific Foundation that Enables Major Efficiency Improvements - 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

  7. 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.

  8. Collaboration to advance high-performance computing

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

    Collaboration to advance high-performance computing Collaboration to advance high-performance computing LANL and EMC will enhance, design, build, test, and deploy new cutting-edge technologies to meet some of the most difficult information technology challenges. December 21, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy

  9. Final Technical Report - Center for Technology for Advanced Scientific Component Software (TASCS)

    SciTech Connect (OSTI)

    Sussman, Alan

    2014-10-21

    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 focused on software tools for coupling parallel software components built using the Common Component Architecture (CCA) APIs. Those tools are based on the Maryland InterComm software framework that has been used in multiple computational science applications to build large-scale simulations of complex physical systems that employ multiple separately developed codes.

  10. Scientific Grand Challenges: Crosscutting Technologies for Computing at the Exascale - February 2-4, 2010, Washington, D.C.

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.

    2011-02-06

    The goal of the "Scientific Grand Challenges - Crosscutting Technologies for Computing at the Exascale" workshop in February 2010, jointly sponsored by the U.S. Department of Energy’s Office of Advanced Scientific Computing Research and the National Nuclear Security Administration, was to identify the elements of a research and development agenda that will address these challenges and create a comprehensive exascale computing environment. This exascale computing environment will enable the science applications identified in the eight previously held Scientific Grand Challenges Workshop Series.

  11. Scientific and technological advancements in inertial fusion energy

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

    Hinkel, D. E.

    2013-09-26

    Scientific advancements in inertial fusion energy (IFE) were reported on at the IAEA Fusion Energy Conference, October 2012. Results presented transect the different ways to assemble the fuel, different scenarios for igniting the fuel, and progress in IFE technologies. The achievements of the National Ignition Campaign within the USA, using the National Ignition Facility (NIF) to indirectly drive laser fusion, have found beneficial the achievements in other IFE arenas such as directly driven laser fusion and target fabrication. Moreover, the successes at NIF have pay-off to alternative scenarios such as fast ignition, shock ignition, and heavy-ion fusion as well asmore » to directly driven laser fusion. As a result, this synergy is summarized here, and future scientific studies are detailed.« less

  12. Scientific and technological advancements in inertial fusion energy

    SciTech Connect (OSTI)

    Hinkel, D. E.

    2013-09-26

    Scientific advancements in inertial fusion energy (IFE) were reported on at the IAEA Fusion Energy Conference, October 2012. Results presented transect the different ways to assemble the fuel, different scenarios for igniting the fuel, and progress in IFE technologies. The achievements of the National Ignition Campaign within the USA, using the National Ignition Facility (NIF) to indirectly drive laser fusion, have found beneficial the achievements in other IFE arenas such as directly driven laser fusion and target fabrication. Moreover, the successes at NIF have pay-off to alternative scenarios such as fast ignition, shock ignition, and heavy-ion fusion as well as to directly driven laser fusion. As a result, this synergy is summarized here, and future scientific studies are detailed.

  13. A Component Architecture for High-Performance Scientific Computing

    SciTech Connect (OSTI)

    Bernholdt, D E; Allan, B A; Armstrong, R; Bertrand, F; Chiu, K; Dahlgren, T L; Damevski, K; Elwasif, W R; Epperly, T W; Govindaraju, M; Katz, D S; Kohl, J A; Krishnan, M; Kumfert, G; Larson, J W; Lefantzi, S; Lewis, M J; Malony, A D; McInnes, L C; Nieplocha, J; Norris, B; Parker, S G; Ray, J; Shende, S; Windus, T L; Zhou, S

    2004-12-14

    The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance computing. In the scientific computing context, component models also promote collaboration using independently developed software, thereby allowing particular individuals or groups to focus on the aspects of greatest interest to them. The CCA supports parallel and distributed computing as well as local high-performance connections between components in a language-independent manner. The design places minimal requirements on components and thus facilitates the integration of existing code into the CCA environment. The CCA model imposes minimal overhead to minimize the impact on application performance. The focus on high performance distinguishes the CCA from most other component models. The CCA is being applied within an increasing range of disciplines, including combustion research, global climate simulation, and computational chemistry.

  14. A Computing Environment to Support Repeatable Scientific Big Data Experimentation of World-Wide Scientific Literature

    SciTech Connect (OSTI)

    Schlicher, Bob G; Kulesz, James J; Abercrombie, Robert K; Kruse, Kara L

    2015-01-01

    A principal tenant of the scientific method is that experiments must be repeatable and relies on ceteris paribus (i.e., all other things being equal). As a scientific community, involved in data sciences, we must investigate ways to establish an environment where experiments can be repeated. We can no longer allude to where the data comes from, we must add rigor to the data collection and management process from which our analysis is conducted. This paper describes a computing environment to support repeatable scientific big data experimentation of world-wide scientific literature, and recommends a system that is housed at the Oak Ridge National Laboratory in order to provide value to investigators from government agencies, academic institutions, and industry entities. The described computing environment also adheres to the recently instituted digital data management plan mandated by multiple US government agencies, which involves all stages of the digital data life cycle including capture, analysis, sharing, and preservation. It particularly focuses on the sharing and preservation of digital research data. The details of this computing environment are explained within the context of cloud services by the three layer classification of Software as a Service , Platform as a Service , and Infrastructure as a Service .

  15. ASCR Cybersecurity for Scientific Computing Integrity - Research Pathways and Ideas Workshop

    SciTech Connect (OSTI)

    Peisert, Sean; Potok, Thomas E.; Jones, Todd

    2015-06-03

    At the request of the U.S. Department of Energy's (DOE) Office of Science (SC) Advanced Scientific Computing Research (ASCR) program office, a workshop was held June 2-3, 2015, in Gaithersburg, MD, to identify potential long term (10 to +20 year) cybersecurity fundamental basic research and development challenges, strategies and roadmap facing future high performance computing (HPC), networks, data centers, and extreme-scale scientific user facilities. This workshop was a follow-on to the workshop held January 7-9, 2015, in Rockville, MD, that examined higher level ideas about scientific computing integrity specific to the mission of the DOE Office of Science. Issues included research computation and simulation that takes place on ASCR computing facilities and networks, as well as network-connected scientific instruments, such as those run by various DOE Office of Science programs. Workshop participants included researchers and operational staff from DOE national laboratories, as well as academic researchers and industry experts. Participants were selected based on the submission of abstracts relating to the topics discussed in the previous workshop report [1] and also from other ASCR reports, including "Abstract Machine Models and Proxy Architectures for Exascale Computing" [27], the DOE "Preliminary Conceptual Design for an Exascale Computing Initiative" [28], and the January 2015 machine learning workshop [29]. The workshop was also attended by several observers from DOE and other government agencies. The workshop was divided into three topic areas: (1) Trustworthy Supercomputing, (2) Extreme-Scale Data, Knowledge, and Analytics for Understanding and Improving Cybersecurity, and (3) Trust within High-end Networking and Data Centers. Participants were divided into three corresponding teams based on the category of their abstracts. The workshop began with a series of talks from the program manager and workshop chair, followed by the leaders for each of the three

  16. 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.

  17. PNNL pushing scientific discovery through data intensive computing breakthroughs

    ScienceCinema (OSTI)

    Deborah Gracio; David Koppenaal; Ruby Leung

    2012-12-31

    The Pacific Northwest National Laboratorys approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architectures, software architectures, and analytic algorithms. Advancements in these areas will help to address, and solve, DIC issues associated with capturing, managing, analyzing and understanding, in near real time, data at volumes and rates that push the frontiers of current technologies.

  18. Scientific Grand Challenges: Forefront Questions in Nuclear Science and the Role of High Performance Computing

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.

    2009-10-01

    This report is an account of the deliberations and conclusions of the workshop on "Forefront Questions in Nuclear Science and the Role of High Performance Computing" held January 26-28, 2009, co-sponsored by the U.S. Department of Energy (DOE) Office of Nuclear Physics (ONP) and the DOE Office of Advanced Scientific Computing (ASCR). Representatives from the national and international nuclear physics communities, as well as from the high performance computing community, participated. The purpose of this workshop was to 1) identify forefront scientific challenges in nuclear physics and then determine which-if any-of these could be aided by high performance computing at the extreme scale; 2) establish how and why new high performance computing capabilities could address issues at the frontiers of nuclear science; 3) provide nuclear physicists the opportunity to influence the development of high performance computing; and 4) provide the nuclear physics community with plans for development of future high performance computing capability by DOE ASCR.

  19. 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

  20. 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.

  1. Advanced Test Reactor - A National Scientific User Facility

    SciTech Connect (OSTI)

    Clifford J. Stanley

    2008-05-01

    The ATR is a pressurized, light-water moderated and cooled, beryllium-reflected nuclear research reactor with a maximum operating power of 250 MWth. The unique serpentine configuration of the fuel elements creates five main reactor power lobes (regions) and nine flux traps. In addition to these nine flux traps there are 68 additional irradiation positions in the reactor core reflector tank. There are also 34 low-flux irradiation positions in the irradiation tanks outside the core reflector tank. The ATR is designed to provide a test environment for the evaluation of the effects of intense radiation (neutron and gamma). Due to the unique serpentine core design each of the five lobes can be operated at different powers and controlled independently. Options exist for the individual test trains and assemblies to be either cooled by the ATR coolant (i.e., exposed to ATR coolant flow rates, pressures, temperatures, and neutron flux) or to be installed in their own independent test loops where such parameters as temperature, pressure, flow rate, neutron flux, and energy can be controlled per experimenter specifications. The full-power maximum thermal neutron flux is ~1.0 x1015 n/cm2-sec with a maximum fast flux of ~5.0 x1014 n/cm2-sec. The Advanced Test Reactor, now a National Scientific User Facility, is a versatile tool in which a variety of nuclear reactor, nuclear physics, reactor fuel, and structural material irradiation experiments can be conducted. The cumulative effects of years of irradiation in a normal power reactor can be duplicated in a few weeks or months in the ATR due to its unique design, power density, and operating flexibility.

  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. 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.

  4. Advanced Test Reactor National Scientific User Facility 2010 Annual Report

    SciTech Connect (OSTI)

    Mary Catherine Thelen; Todd R. Allen

    2011-05-01

    This is the 2010 ATR National Scientific User Facility Annual Report. This report provides an overview of the program for 2010, along with individual project reports from each of the university principal investigators. The report also describes the capabilities offered to university researchers here at INL and at the ATR NSUF partner facilities.

  5. Final Scientific Report - Wireless and Sensing Solutions Advancing Industrial Efficiency

    SciTech Connect (OSTI)

    Budampati, Rama; McBrady, Adam; Nusseibeh, Fouad

    2009-09-28

    The project team's goal for the Wireless and Sensing Solution Advancing Industrial Efficiency award (DE-FC36-04GO14002) was to develop, demonstrate, and test a number of leading edge technologies that could enable the emergence of wireless sensor and sampling systems for the industrial market space. This effort combined initiatives in advanced sensor development, configurable sampling and deployment platforms, and robust wireless communications to address critical obstacles in enabling enhanced industrial efficiency.

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

    Office of Scientific and Technical Information (OSTI)

    that has been used in multiple computational science applications to build large-scale simulations of complex physical systems that employ multiple separately developed codes. ...

  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. High-Performance Computing for Advanced Smart Grid Applications...

    Office of Scientific and Technical Information (OSTI)

    Title: High-Performance Computing for Advanced Smart Grid Applications The power grid is becoming far more complex as a result of the grid evolution meeting an information ...

  9. 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.

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

    National Nuclear Security Administration (NNSA)

    New partnership uses advanced computer science modeling to address climate change Friday, August 29, 2014 - 10:26am Several national laboratories and institutions have joined ...

  11. Advanced Computing Tech Team | Department of Energy

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

    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. ...

  12. #WomenInSTEM: A Physicist Focuses on Scientific Advancement | Department of

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

    Energy A Physicist Focuses on Scientific Advancement #WomenInSTEM: A Physicist Focuses on Scientific Advancement July 17, 2014 - 4:59pm Addthis How Angela Capece got her start as a physicist at the Princeton Plasma Physics Laboratory. | Video by Matty Greene. Ben Dotson Ben Dotson Former Project Coordinator for Digital Reform, Office of Public Affairs Matty Greene Matty Greene Former Videographer More STEM Watch how scientists at the Princeton Plasma Physics Lab are creating a star on Earth.

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

    SciTech Connect (OSTI)

    Chapman, Barbara; Calandra, Henri; Crivelli, Silvia; Dongarra, Jack; Hittinger, Jeffrey; Lathrop, Scott A.; Sarkar, Vivek; Stahlberg, Eric; Vetter, Jeffrey S.; Williams, Dean

    2014-07-23

    Simulation and computing are essential to much of the research conducted at the DOE national laboratories. Experts in the ASCR ¬relevant Computing Sciences, which encompass a range of disciplines including Computer Science, Applied Mathematics, Statistics and domain Computational Sciences, are an essential element of the workforce in nearly all of the DOE national laboratories. This report seeks to identify the gaps and challenges facing DOE with respect to this workforce. This letter is ASCAC’s response to the charge of February 19, 2014 to identify disciplines in which significantly greater emphasis in workforce training at the graduate or postdoctoral levels is necessary to address workforce gaps in current and future Office of Science mission needs.

  14. advanced simulation and computing | National Nuclear Security...

    National Nuclear Security Administration (NNSA)

    NNSA's missions get a boost from brain-inspired, radically different computer design The first computers to contribute to the nation's nuclear security work used thousands of ...

  15. Scientific Application Requirements for Leadership Computing at the Exascale

    SciTech Connect (OSTI)

    Ahern, Sean; Alam, Sadaf R; Fahey, Mark R; Hartman-Baker, Rebecca J; Barrett, Richard F; Kendall, Ricky A; Kothe, Douglas B; Mills, Richard T; Sankaran, Ramanan; Tharrington, Arnold N; White III, James B

    2007-12-01

    The Department of Energy s Leadership Computing Facility, located at Oak Ridge National Laboratory s National Center for Computational Sciences, recently polled scientific teams that had large allocations at the center in 2007, asking them to identify computational science requirements for future exascale systems (capable of an exaflop, or 1018 floating point operations per second). These requirements are necessarily speculative, since an exascale system will not be realized until the 2015 2020 timeframe, and are expressed where possible relative to a recent petascale requirements analysis of similar science applications [1]. Our initial findings, which beg further data collection, validation, and analysis, did in fact align with many of our expectations and existing petascale requirements, yet they also contained some surprises, complete with new challenges and opportunities. First and foremost, the breadth and depth of science prospects and benefits on an exascale computing system are striking. Without a doubt, they justify a large investment, even with its inherent risks. The possibilities for return on investment (by any measure) are too large to let us ignore this opportunity. The software opportunities and challenges are enormous. In fact, as one notable computational scientist put it, the scale of questions being asked at the exascale is tremendous and the hardware has gotten way ahead of the software. We are in grave danger of failing because of a software crisis unless concerted investments and coordinating activities are undertaken to reduce and close this hardwaresoftware gap over the next decade. Key to success will be a rigorous requirement for natural mapping of algorithms to hardware in a way that complements (rather than competes with) compilers and runtime systems. The level of abstraction must be raised, and more attention must be paid to functionalities and capabilities that incorporate intent into data structures, are aware of memory hierarchy

  16. Advanced Test Reactor National Scientific User Facility: Addressing advanced nuclear materials research

    SciTech Connect (OSTI)

    John Jackson; Todd Allen; Frances Marshall; Jim Cole

    2013-03-01

    The Advanced Test Reactor National Scientific User Facility (ATR NSUF), based at the Idaho National Laboratory in the United States, is supporting Department of Energy and industry research efforts to ensure the properties of materials in light water reactors are well understood. The ATR NSUF is providing this support through three main efforts: establishing unique infrastructure necessary to conduct research on highly radioactive materials, conducting research in conjunction with industry partners on life extension relevant topics, and providing training courses to encourage more U.S. researchers to understand and address LWR materials issues. In 2010 and 2011, several advanced instruments with capability focused on resolving nuclear material performance issues through analysis on the micro (10-6 m) to atomic (10-10 m) scales were installed primarily at the Center for Advanced Energy Studies (CAES) in Idaho Falls, Idaho. These instruments included a local electrode atom probe (LEAP), a field-emission gun scanning transmission electron microscope (FEG-STEM), a focused ion beam (FIB) system, a Raman spectrometer, and an nanoindentor/atomic force microscope. Ongoing capability enhancements intended to support industry efforts include completion of two shielded, irradiation assisted stress corrosion cracking (IASCC) test loops, the first of which will come online in early calendar year 2013, a pressurized and controlled chemistry water loop for the ATR center flux trap, and a dedicated facility intended to house post irradiation examination equipment. In addition to capability enhancements at the main site in Idaho, the ATR NSUF also welcomed two new partner facilities in 2011 and two new partner facilities in 2012; the Oak Ridge National Laboratory, High Flux Isotope Reactor (HFIR) and associated hot cells and the University California Berkeley capabilities in irradiated materials analysis were added in 2011. In 2012, Purdue University’s Interaction of Materials

  17. Computational Advances in Applied Energy | Department of Energy

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

    Computational Advances in Applied Energy Computational Advances in Applied Energy Friedmann-LLNL-SEAB.10.11.pdf (19.92 MB) 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

  18. Center for Technology for Advanced Scientific Component Software (TASCS)

    SciTech Connect (OSTI)

    Bramley, Randall B.

    2012-08-02

    Indiana University’s SWIM activities have primarily been in three areas. All are completed, but we are continuing to work on two of them because refinements are useful to both DoE laboratories and the high performance computing community.

  19. 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 ; ...

  20. Energy Department Requests Proposals for Advanced Scientific Computing

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

    Hydroelectric Power | Department of Energy Report Finds Major Potential to Increase Clean Hydroelectric Power Energy Department Report Finds Major Potential to Increase Clean Hydroelectric Power April 17, 2012 - 12:39pm Addthis Washington, D.C. -- As part of President Obama's all-out, all-of-the-above energy strategy, the Energy Department today released a renewable energy resource assessment detailing the potential to develop electric power generation at existing dams across the United

  1. OSTIblog Articles in the Advanced Scientific Computing Research...

    Office of Scientific and Technical Information (OSTI)

    The models created will be used to simulate changes in the hydrological cycle, with a specific focus on precipitation and surface water in orographically complex regions such as ...

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

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

    DNSSEC Implementa/on at ESnet R. Kevin Oberman Sr. Network Engineer February 2, 2010 Why ESnet is Signing * While not covered by the OMB mandate, ESnet supports several organizations which are required to sign * ESnet needs experience with DNSSEC to support these organizations effectively * Future mandates may cover ESnet How ESnet is Signing * Secure64 Secure Signer appliance - Transfers zones from existing master - Public DNS Servers transfer data from the appliance * Compliant with all

  3. 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

  4. 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
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Co6er,
Dept
Head

 steve@es.net

 Lawrence
Berkeley
NaDonal
Lab
 Outline
 * Staff
Updates
 * Network
Update
 * Advanced
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IniDaDve
 * ESnet
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  5. 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 ...

  6. NERSC, Cray Move Forward With Next-Generation Scientific Computing

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

    ... (a Cray XC30 system) and will include a number of advanced features designed to accelerate data-intensive applications: Large number of logininteractive nodes to ...

  7. 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...

  8. The implications of spatial locality on scientific computing...

    Office of Scientific and Technical Information (OSTI)

    Research Org: Sandia National Laboratories Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; BENCHMARKS; ...

  9. Scientific Computing at Los Alamos National Laboratory (Conference...

    Office of Scientific and Technical Information (OSTI)

    States Research Org: Los Alamos National Laboratory (LANL) Sponsoring Org: DOELANL Country of Publication: United States Language: English Subject: Mathematics & Computing(97

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

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

    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.

  11. Multicore Challenges and Benefits for High Performance Scientific Computing

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

    Nielsen, Ida M.B.; Janssen, Curtis L.

    2008-01-01

    Until recently, performance gains in processors were achieved largely by improvements in clock speeds and instruction level parallelism. Thus, applications could obtain performance increases with relatively minor changes by upgrading to the latest generation of computing hardware. Currently, however, processor performance improvements are realized by using multicore technology and hardware support for multiple threads within each core, and taking full advantage of this technology to improve the performance of applications requires exposure of extreme levels of software parallelism. We will here discuss the architecture of parallel computers constructed from many multicore chips as well as techniques for managing the complexitymore » of programming such computers, including the hybrid message-passing/multi-threading programming model. We will illustrate these ideas with a hybrid distributed memory matrix multiply and a quantum chemistry algorithm for energy computation using Møller–Plesset perturbation theory.« less

  12. Energy Department Seeks Proposals to Use Scientific Computing...

    Office of Environmental Management (EM)

    ... machines, as well as five percent of the computer time at DOE's Argonne and Pacific ... DOE's Office of Science is the single largest supporter of basic research in the physical ...

  13. Data-aware distributed scientific computing for big-data problems...

    Office of Scientific and Technical Information (OSTI)

    big-data problems in bio-surveillance Citation Details In-Document Search Title: Data-aware distributed scientific computing for big-data problems in bio-surveillance You are ...

  14. Laboratory Directed Research & Development Page National Energy Research Scientific Computing Center

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

    Directed Research & Development Page National Energy Research Scientific Computing Center T3E Individual Node Optimization Michael Stewart, SGI/Cray, 4/9/98 * Introduction * T3E Processor * T3E Local Memory * Cache Structure * Optimizing Codes for Cache Usage * Loop Unrolling * Other Useful Optimization Options * References 1 Laboratory Directed Research & Development Page National Energy Research Scientific Computing Center Introduction * Primary topic will be single processor

  15. Sandia National Laboratories: Advanced Simulation and Computing: Facilities

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

    Operation & User Support Facilities Operation & User Support APPRO The Facilities, Operations and User Support (FOUS) program is responsible for operating and maintaining the computing systems procured by the Advanced Simulation and Computing (ASC) program, and for delivering additional computing related services to Defense Program customers located across the Nuclear Weapons Complex. Sandia has developed a robust User Support capability which provides various services to analysts,

  16. 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

  17. Scientific Grand Challenges: Challenges in Climate Change Science and the Role of Computing at the Extreme Scale

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.; Johnson, Gary M.; Washington, Warren M.

    2009-07-02

    The U.S. Department of Energy (DOE) Office of Biological and Environmental Research (BER) in partnership with the Office of Advanced Scientific Computing Research (ASCR) held a workshop on the challenges in climate change science and the role of computing at the extreme scale, November 6-7, 2008, in Bethesda, Maryland. At the workshop, participants identified the scientific challenges facing the field of climate science and outlined the research directions of highest priority that should be pursued to meet these challenges. Representatives from the national and international climate change research community as well as representatives from the high-performance computing community attended the workshop. This group represented a broad mix of expertise. Of the 99 participants, 6 were from international institutions. Before the workshop, each of the four panels prepared a white paper, which provided the starting place for the workshop discussions. These four panels of workshop attendees devoted to their efforts the following themes: Model Development and Integrated Assessment; Algorithms and Computational Environment; Decadal Predictability and Prediction; Data, Visualization, and Computing Productivity. The recommendations of the panels are summarized in the body of this report.

  18. Certainty in Stockpile Computing: Recommending a Verification and Validation Program for Scientific Software

    SciTech Connect (OSTI)

    Lee, J.R.

    1998-11-01

    As computing assumes a more central role in managing the nuclear stockpile, the consequences of an erroneous computer simulation could be severe. Computational failures are common in other endeavors and have caused project failures, significant economic loss, and loss of life. This report examines the causes of software failure and proposes steps to mitigate them. A formal verification and validation program for scientific software is recommended and described.

  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 München, 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. Advanced computational tools for 3-D seismic analysis

    SciTech Connect (OSTI)

    Barhen, J.; Glover, C.W.; Protopopescu, V.A.

    1996-06-01

    The global objective of this effort is to develop advanced computational tools for 3-D seismic analysis, and test the products using a model dataset developed under the joint aegis of the United States` Society of Exploration Geophysicists (SEG) and the European Association of Exploration Geophysicists (EAEG). The goal is to enhance the value to the oil industry of the SEG/EAEG modeling project, carried out with US Department of Energy (DOE) funding in FY` 93-95. The primary objective of the ORNL Center for Engineering Systems Advanced Research (CESAR) is to spearhead the computational innovations techniques that would enable a revolutionary advance in 3-D seismic analysis. The CESAR effort is carried out in collaboration with world-class domain experts from leading universities, and in close coordination with other national laboratories and oil industry partners.

  1. Scientific Process Automation Improves Data Interaction

    SciTech Connect (OSTI)

    Critchlow, Terence J.

    2009-09-30

    This is an article written for the September 09 Scientific Computing magazine about the work of the Scientific Process Automation team of The U.S. Department of Energy (DOE) Scientific Discovery through Advanced Computing (SciDAC) program. The SPA team is focused on developing and deploying automated workflows for a variety of computational science domains. Scientific workflows are the formalization of a scientific process that is frequently and repetitively performed.

  2. Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi

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

    Abdurachmanov, David; Bockelman, Brian; Elmer, Peter; Eulisse, Giulio; Knight, Robert; Muzaffar, Shahzad

    2015-01-01

    Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. Additionally, future performance growth will come from heterogeneous, many-core, and high computing density platforms with specialized processors. In this paper, we examine the Intel Xeon Phi Many Integrated Cores (MIC) co-processor and Applied Micro X-Gene ARMv8 64-bit low-power server system-on-a-chip (SoC) solutions for scientific computing applications. As a result, we report our experience on software porting, performance and energy efficiency and evaluatemore » the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).« less

  3. Department of Energy Designates the Idaho National Laboratory Advanced Test Reactor as a National Scientific User Facility

    Broader source: Energy.gov [DOE]

    WASHINGTON, DC - The U.S. Department of Energy (DOE) today designated the Idaho National Laboratory's (INL) Advanced Test Reactor (ATR) as a National Scientific User Facility.  Establishing the ATR...

  4. Sandia National Laboratories: Advanced Simulation Computing: Verification &

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

    Validation Verification & Validation high-fidelity simulations The Verification and Validation (V&V) program conducts two major activities at Sandia. The first is to perform assessments and studies that quantify confidence in Advanced Simulation and Computing (ASC) calculation results. The second activity develops and improves V&V and uncertainty quantification methods, metrics, and standards. Assessments This project area conducts studies and assessments for Sandia's engineering

  5. Sandia National Laboratories: Advanced Simulation and Computing: Integrated

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

    Codes Integrated Codes Fuego Within the Advanced Simulation and Computing (ASC) program, the Integrated Codes area develops and improves predictive simulation tools to support U.S. stockpile stewardship. These large-scale codes incorporate physics and engineering models and specialized codes to predict, with reduced uncertainty, the behavior of weapons and their components in a variety of environments. In addition to supporting the stockpile, a number of other national security missions use

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

    National Nuclear Security Administration (NNSA)

    change | National Nuclear Security Administration | (NNSA) partnership uses advanced computer science modeling to address climate change Friday, August 29, 2014 - 10:26am Several national laboratories and institutions have joined forces to develop and apply the most complete climate and Earth system model to address the most challenging and demanding climate change issues. Accelerated Climate Modeling for Energy, or ACME, is designed to accelerate the development and application of fully

  7. Advanced Reactor Thermal Hydraulic Modeling | Argonne Leadership Computing

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

    Facility Temperature distribution illustrating thermal striping in a T-junction. Computed on Intrepid with Nek5000 and visualized on Eureka with VisIt at the ALCF. Paul Fischer (ANL), Aleks Obabko (ANL), and Hank Childs (LBNL) Advanced Reactor Thermal Hydraulic Modeling PI Name: Paul Fischer PI Email: fischer@mcs.anl.gov Institution: Argonne National Laboratory Allocation Program: INCITE Allocation Hours at ALCF: 25 Million Year: 2012 Research Domain: Energy Technologies The DOE Nuclear

  8. 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 New 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

  9. Scientific Grand Challenges: Discovery In Basic Energy Sciences: The Role of Computing at the Extreme Scale - August 13-15, 2009, Washington, D.C.

    SciTech Connect (OSTI)

    Galli, Giulia; Dunning, Thom

    2009-08-13

    The U.S. Department of Energy’s (DOE) Office of Basic Energy Sciences (BES) and Office of Advanced Scientific Computing Research (ASCR) workshop in August 2009 on extreme-scale computing provided a forum for more than 130 researchers to explore the needs and opportunities that will arise due to expected dramatic advances in computing power over the next decade. This scientific community firmly believes that the development of advanced theoretical tools within chemistry, physics, and materials science—combined with the development of efficient computational techniques and algorithms—has the potential to revolutionize the discovery process for materials and molecules with desirable properties. Doing so is necessary to meet the energy and environmental challenges of the 21st century as described in various DOE BES Basic Research Needs reports. Furthermore, computational modeling and simulation are a crucial complement to experimental studies, particularly when quantum mechanical processes controlling energy production, transformations, and storage are not directly observable and/or controllable. Many processes related to the Earth’s climate and subsurface need better modeling capabilities at the molecular level, which will be enabled by extreme-scale computing.

  10. Cloud Bursting with GlideinWMS: Means to satisfy ever increasing computing needs for Scientific Workflows

    SciTech Connect (OSTI)

    Mhashilkar, Parag; Tiradani, Anthony; Holzman, Burt; Larson, Krista; Sfiligoi, Igor; Rynge, Mats

    2014-01-01

    Scientific communities have been in the forefront of adopting new technologies and methodologies in the computing. Scientific computing has influenced how science is done today, achieving breakthroughs that were impossible to achieve several decades ago. For the past decade several such communities in the Open Science Grid (OSG) and the European Grid Infrastructure (EGI) have been using GlideinWMS to run complex application workflows to effectively share computational resources over the grid. GlideinWMS is a pilot-based workload management system (WMS) that creates on demand, a dynamically sized overlay HTCondor batch system on grid resources. At present, the computational resources shared over the grid are just adequate to sustain the computing needs. We envision that the complexity of the science driven by 'Big Data' will further push the need for computational resources. To fulfill their increasing demands and/or to run specialized workflows, some of the big communities like CMS are investigating the use of cloud computing as Infrastructure-As-A-Service (IAAS) with GlideinWMS as a potential alternative to fill the void. Similarly, communities with no previous access to computing resources can use GlideinWMS to setup up a batch system on the cloud infrastructure. To enable this, the architecture of GlideinWMS has been extended to enable support for interfacing GlideinWMS with different Scientific and commercial cloud providers like HLT, FutureGrid, FermiCloud and Amazon EC2. In this paper, we describe a solution for cloud bursting with GlideinWMS. The paper describes the approach, architectural changes and lessons learned while enabling support for cloud infrastructures in GlideinWMS.

  11. 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.

  12. 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 ...

  13. Advances in Computational Methods for X-Ray Optics III (Conference...

    Office of Scientific and Technical Information (OSTI)

    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: ...

  14. About the ASCR Computer Science Program | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    About the ASCR Computer Science Program 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

  15. 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

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

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

    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

  17. National Energy Research Scientific Computing Center | U.S. DOE Office of

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

    Science (SC) National Labs, Profiles, and Contacts » National Energy Research Scientific Computing Center (NERSC) Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) SBIR/STTR Home About Funding Opportunity Announcements (FOAs) Applicant and Awardee Resources Quick Links DOE SBIR Online Learning Center External link DOE Phase 0 Small Business Assistance External link Protecting your Trade Secrets, Commercial, and Financial Information Preparing and

  18. Operational Philosophy for the Advanced Test Reactor National Scientific User Facility

    SciTech Connect (OSTI)

    J. Benson; J. Cole; J. Jackson; F. Marshall; D. Ogden; J. Rempe; M. C. Thelen

    2013-02-01

    In 2007, the Department of Energy (DOE) designated the Advanced Test Reactor (ATR) as a National Scientific User Facility (NSUF). At its core, the ATR NSUF Program combines access to a portion of the available ATR radiation capability, the associated required examination and analysis facilities at the Idaho National Laboratory (INL), and INL staff expertise with novel ideas provided by external contributors (universities, laboratories, and industry). These collaborations define the cutting edge of nuclear technology research in high-temperature and radiation environments, contribute to improved industry performance of current and future light-water reactors (LWRs), and stimulate cooperative research between user groups conducting basic and applied research. To make possible the broadest access to key national capability, the ATR NSUF formed a partnership program that also makes available access to critical facilities outside of the INL. Finally, the ATR NSUF has established a sample library that allows access to pre-irradiated samples as needed by national research teams.

  19. 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 Featured Content ASCR Discovery ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review

  20. XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem: Year-end report FY15 Q4.

    SciTech Connect (OSTI)

    Moreland, Kenneth D.; Sewell, Christopher; Childs, Hank; Ma, Kwan-Liu; Geveci, Berk; Meredith, Jeremy

    2015-12-01

    The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. This project provides the necessary research and infrastructure for scientific discovery in this new computational ecosystem by addressing four interlocking challenges: emerging processor technology, in situ integration, usability, and proxy analysis.

  1. High performance parallel computers for science: New developments at the Fermilab advanced computer program

    SciTech Connect (OSTI)

    Nash, T.; Areti, H.; Atac, R.; Biel, J.; Cook, A.; Deppe, J.; Edel, M.; Fischler, M.; Gaines, I.; Hance, R.

    1988-08-01

    Fermilab's Advanced Computer Program (ACP) has been developing highly cost effective, yet practical, parallel computers for high energy physics since 1984. The ACP's latest developments are proceeding in two directions. A Second Generation ACP Multiprocessor System for experiments will include $3500 RISC processors each with performance over 15 VAX MIPS. To support such high performance, the new system allows parallel I/O, parallel interprocess communication, and parallel host processes. The ACP Multi-Array Processor, has been developed for theoretical physics. Each $4000 node is a FORTRAN or C programmable pipelined 20 MFlops (peak), 10 MByte single board computer. These are plugged into a 16 port crossbar switch crate which handles both inter and intra crate communication. The crates are connected in a hypercube. Site oriented applications like lattice gauge theory are supported by system software called CANOPY, which makes the hardware virtually transparent to users. A 256 node, 5 GFlop, system is under construction. 10 refs., 7 figs.

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Fortran Transformational Tools in Support of Scientific Application Development for Petascale Computer Architectures

    SciTech Connect (OSTI)

    Sottille, Matthew

    2013-09-12

    This document is the final report for a multi-year effort building infrastructure to support tool development for Fortran programs. We also investigated static analysis and code transformation methods relevant to scientific programmers who are writing Fortran programs for petascale-class high performance computing systems. This report details our accomplishments, technical approaches, and provides information on where the research results and code may be obtained from an open source software repository. The report for the first year of the project that was performed at the University of Oregon prior to the PI moving to Galois, Inc. is included as an appendix.

  10. STATEMENT OF CONSIDERATIONS CLASS ADVANCE WAIVER OF THE GOVERNMENT...

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

    Within DOE's Office of Science (SC), the mission of the Advanced Scientific Computing Research (ASCR) program is to discover, develop, and deploy computational and networking ...

  11. Challenges and Opportunities in Using Automatic Differentiation with Object-Oriented Toolkits for Scientific Computing

    SciTech Connect (OSTI)

    Hovland, P; Lee, S; McInnes, L; Norris, B; Smith, B

    2001-04-17

    The increased use of object-oriented toolkits in large-scale scientific simulation presents new opportunities and challenges for the use of automatic (or algorithmic) differentiation (AD) techniques, especially in the context of optimization. Because object-oriented toolkits use well-defined interfaces and data structures, there is potential for simplifying the AD process. Furthermore, derivative computation can be improved by exploiting high-level information about numerical and computational abstractions. However, challenges to the successful use of AD with these toolkits also exist. Among the greatest challenges is balancing the desire to limit the scope of the AD process with the desire to minimize the work required of a user. They discuss their experiences in integrating AD with the PETSc, PVODE, and TAO toolkits and the plans for future research and development in this area.

  12. Advanced Test Reactor National Scientific User Facility (ATR NSUF) Monthly Report October 2014

    SciTech Connect (OSTI)

    Dan Ogden

    2014-10-01

    Advanced Test Reactor National Scientific User Facility (ATR NSUF) Monthly Report October 2014 Highlights • Rory Kennedy, Dan Ogden and Brenden Heidrich traveled to Germantown October 6-7, for a review of the Infrastructure Management mission with Shane Johnson, Mike Worley, Bradley Williams and Alison Hahn from NE-4 and Mary McCune from NE-3. Heidrich briefed the group on the project progress from July to October 2014 as well as the planned path forward for FY15. • Jim Cole gave two invited university seminars at Ohio State University and University of Florida, providing an overview of NSUF including available capabilities and the process for accessing facilities through the peer reviewed proposal process. • Jim Cole and Rory Kennedy co-chaired the NuMat meeting with Todd Allen. The meeting, sponsored by Elsevier publishing, was held in Clearwater, Florida, and is considered one of the premier nuclear fuels and materials conferences. Over 340 delegates attended with 160 oral and over 200 posters presented over 4 days. • Thirty-one pre-applications were submitted for NSUF access through the NE-4 Combined Innovative Nuclear Research Funding Opportunity Announcement. • Fourteen proposals were received for the NSUF Rapid Turnaround Experiment Summer 2014 call. Proposal evaluations are underway. • John Jackson and Rory Kennedy attended the Nuclear Fuels Industry Research meeting. Jackson presented an overview of ongoing NSUF industry research.

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

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

    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 ...

  14. DOE Announces $60 Million in Projects to Accelerate Scientific Discovery

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

    through Advanced Computing | Department of Energy 0 Million in Projects to Accelerate Scientific Discovery through Advanced Computing DOE Announces $60 Million in Projects to Accelerate Scientific Discovery through Advanced Computing September 7, 2006 - 8:53am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science today announced approximately $60 million in new awards annually for 30 computational science projects over the next three to five years. The projects

  15. 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

  16. Advanced Test Reactor National Scientific User Facility (ATR NSUF) Monthly Report November 2014

    SciTech Connect (OSTI)

    Soelberg, Renae

    2014-11-01

    Advanced Test Reactor National Scientific User Facility (ATR NSUF) Monthly Report November 2014 Highlights Rory Kennedy and Sarah Robertson attended the American Nuclear Society Winter Meeting and Nuclear Technology Expo in Anaheim, California, Nov. 10-13. ATR NSUF exhibited at the technology expo where hundreds of meeting participants had an opportunity to learn more about ATR NSUF. Dr. Kennedy briefed the Nuclear Engineering Department Heads Organization (NEDHO) on the workings of the ATR NSUF. • Rory Kennedy, James Cole and Dan Ogden participated in a reactor instrumentation discussion with Jean-Francois Villard and Christopher Destouches of CEA and several members of the INL staff. • ATR NSUF received approval from the NE-20 office to start planning the annual Users Meeting. The meeting will be held at INL, June 22-25. • Mike Worley, director of the Office of Innovative Nuclear Research (NE-42), visited INL Nov. 4-5. Milestones Completed • Recommendations for the Summer Rapid Turnaround Experiment awards were submitted to DOE-HQ Nov. 12 (Level 2 milestone due Nov. 30). Major Accomplishments/Activities • The University of California, Santa Barbara 2 experiment was unloaded from the GE-2000 at HFEF. The experiment specimen packs will be removed and shipped to ORNL for PIE. • The Terrani experiment, one of three FY 2014 new awards, was completed utilizing the Advanced Photon Source MRCAT beamline. The experiment investigated the chemical state of Ag and Pd in SiC shell of irradiated TRISO particles via X-ray Absorption Fine Structure (XAFS) spectroscopy. Upcoming Meetings/Events • The ATR NSUF program review meeting will be held Dec. 9-10 at L’Enfant Plaza. In addition to NSUF staff and users, NE-4, NE-5 and NE-7 representatives will attend the meeting. Awarded Research Projects Boise State University Rapid Turnaround Experiments (14-485 and 14-486) Nanoindentation and TEM work on the T91, HT9, HCM12A and 9Cr ODS specimens has been completed at

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

    Office of Science (SC) Website

    Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I ...

  18. DOE High Performance Computing Operational Review (HPCOR): Enabling Data-Driven Scientific Discovery at HPC Facilities

    SciTech Connect (OSTI)

    Gerber, Richard; Allcock, William; Beggio, Chris; Campbell, Stuart; Cherry, Andrew; Cholia, Shreyas; Dart, Eli; England, Clay; Fahey, Tim; Foertter, Fernanda; Goldstone, Robin; Hick, Jason; Karelitz, David; Kelly, Kaki; Monroe, Laura; Prabhat,; Skinner, David; White, Julia

    2014-10-17

    U.S. Department of Energy (DOE) High Performance Computing (HPC) facilities are on the verge of a paradigm shift in the way they deliver systems and services to science and engineering teams. Research projects are producing a wide variety of data at unprecedented scale and level of complexity, with community-specific services that are part of the data collection and analysis workflow. On June 18-19, 2014 representatives from six DOE HPC centers met in Oakland, CA at the DOE High Performance Operational Review (HPCOR) to discuss how they can best provide facilities and services to enable large-scale data-driven scientific discovery at the DOE national laboratories. The report contains findings from that review.

  19. ComputerIntegration.jpg | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information ComputerIntegration

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

    Energy Savers [EERE]

    ... for wide area visibility and advanced meter infrastructure (AMI) for dynamic pricing and demand response, can be a great benefit for electric system reliability and flexibility. ...

  1. Secretary Bodman in Illinois Highlights Scientific Research Investments to Advance America's Innovation

    Broader source: Energy.gov [DOE]

    ROMEOVILLE, IL - U.S. Secretary of Energy Samuel Bodman today joined Rep. Judy Biggert (IL-13th) at a technology firm in Illinois to highlight scientific research investments that have led to...

  2. September is Scientific Supercomputing Month

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

    September is Scientific Supercomputing Month September is Scientific Supercomputing Month DOE celebrates the science and technology that drive modern discovery September 3, 2013 hopper2cshp.jpg NERSC's flagship Cray XE6 system is called "Hopper" in honor of American computer scientist Grace Murray Hopper. Whether it's building a car battery that will take you 500 miles on a single charge or understanding the impact of Earth's changing climate on agriculture-advanced computing is a

  3. Nationwide Buildings Energy Research enabled through an integrated Data Intensive Scientific Workflow and Advanced Analysis Environment

    SciTech Connect (OSTI)

    Kleese van Dam, Kerstin; Lansing, Carina S.; Elsethagen, Todd O.; Hathaway, John E.; Guillen, Zoe C.; Dirks, James A.; Skorski, Daniel C.; Stephan, Eric G.; Gorrissen, Willy J.; Gorton, Ian; Liu, Yan

    2014-01-28

    Modern workflow systems enable scientists to run ensemble simulations at unprecedented scales and levels of complexity, allowing them to study system sizes previously impossible to achieve, due to the inherent resource requirements needed for the modeling work. However as a result of these new capabilities the science teams suddenly also face unprecedented data volumes that they are unable to analyze with their existing tools and methodologies in a timely fashion. In this paper we will describe the ongoing development work to create an integrated data intensive scientific workflow and analysis environment that offers researchers the ability to easily create and execute complex simulation studies and provides them with different scalable methods to analyze the resulting data volumes. The integration of simulation and analysis environments is hereby not only a question of ease of use, but supports fundamental functions in the correlated analysis of simulation input, execution details and derived results for multi-variant, complex studies. To this end the team extended and integrated the existing capabilities of the Velo data management and analysis infrastructure, the MeDICi data intensive workflow system and RHIPE the R for Hadoop version of the well-known statistics package, as well as developing a new visual analytics interface for the result exploitation by multi-domain users. The capabilities of the new environment are demonstrated on a use case that focusses on the Pacific Northwest National Laboratory (PNNL) building energy team, showing how they were able to take their previously local scale simulations to a nationwide level by utilizing data intensive computing techniques not only for their modeling work, but also for the subsequent analysis of their modeling results. As part of the PNNL research initiative PRIMA (Platform for Regional Integrated Modeling and Analysis) the team performed an initial 3 year study of building energy demands for the US Eastern

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

    National Nuclear Security Administration (NNSA)

    Nuclear Security Administration | (NNSA) Programs Advanced Simulation and Computing and Institutional R&D Programs The Advanced Simulation and Computing (ASC) Program supports the Department of Energy's National Nuclear Security Administration (DOE/NNSA) Defense Programs' use of simulation-based evaluation of the nation's nuclear weapons stockpile. The ASC Program is responsible for providing the simulation tools and computing environments required to qualify and certify the nation's

  5. Sandia National Laboratories: Advanced Simulation Computing: Research &

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

    Collaboration Research & Collaboration Partnerships among the national laboratories, industry, and academia leverage a broad spectrum of talent and multiply the effectiveness of our research efforts. These collaborations help solve the challenges of developing computing platforms and simulation tools across a number of disciplines. Computer Science Research Institute The Computer Science Research Institute brings university faculty and students to Sandia for focused collaborative

  6. 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

  7. New DOE-Sponsored Study Helps Advance Scientific Understanding of Potential CO2 Storage Impacts

    Broader source: Energy.gov [DOE]

    In another step forward toward improved scientific understanding of potential geologic carbon dioxide storage impacts, a new U.S. Department of Energy sponsored study has confirmed earlier research showing that proper site selection and monitoring is essential for helping anticipate and mitigate possible risks.

  8. 2015 Annual Report - Argonne Leadership Computing Facility

    SciTech Connect (OSTI)

    Collins, James R.; Papka, Michael E.; Cerny, Beth A.; Coffey, Richard M.

    2015-01-01

    The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines.

  9. 2014 Annual Report - Argonne Leadership Computing Facility

    SciTech Connect (OSTI)

    Collins, James R.; Papka, Michael E.; Cerny, Beth A.; Coffey, Richard M.

    2014-01-01

    The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines.

  10. NERSC seeks Computational Systems Group Lead

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

    and advanced development for the supercomputer systems at NERSC (National Energy Research Scientific Computing ... workload demands within hiring and budget constraints. ...

  11. Final Week of National Energy Action Month Features Technological Advances in Clean Energy and DOE Support of Scientific Research

    Broader source: Energy.gov [DOE]

    WASHINGTON—Department of Energy officials will attend events across the country next week to highlight the clean energy technological advances and scientific initiatives supported by DOE. During the final week of National Energy Action Month, senior DOE officials will participate in events from San Francisco to North Carolina to Washington. Throughout October, Secretary of Energy Ernest Moniz and other Department officials are participating in events to emphasize the important role that the Administration’s all-of-the-above energy strategy plays in strengthening America’s economic, environmental and national security future.

  12. 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.

  13. Data-aware distributed scientific computing for big-data problems...

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Language: English Subject: Mathematics & Computing(97) Computer Science Word Cloud More Like This Full Text File size NAView Full Text View ...

  14. 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.

  15. Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing

    SciTech Connect (OSTI)

    Bremer, Peer-Timo; Mohr, Bernd; Schulz, Martin; Pasccci, Valerio; Gamblin, Todd; Brunst, Holger

    2015-07-29

    The characterization, modeling, analysis, and tuning of software performance has been a central topic in High Performance Computing (HPC) since its early beginnings. The overall goal is to make HPC software run faster on particular hardware, either through better scheduling, on-node resource utilization, or more efficient distributed communication.

  16. Final Scientific Report: A Scalable Development Environment for Peta-Scale Computing

    SciTech Connect (OSTI)

    Karbach, Carsten; Frings, Wolfgang

    2013-02-20

    This document is the final scientific report of the project DE-SC000120 (A scalable Development Environment for Peta-Scale Computing). The objective of this project is the extension of the Parallel Tools Platform (PTP) for applying it to peta-scale systems. PTP is an integrated development environment for parallel applications. It comprises code analysis, performance tuning, parallel debugging and system monitoring. The contribution of the Juelich Supercomputing Centre (JSC) aims to provide a scalable solution for system monitoring of supercomputers. This includes the development of a new communication protocol for exchanging status data between the target remote system and the client running PTP. The communication has to work for high latency. PTP needs to be implemented robustly and should hide the complexity of the supercomputer's architecture in order to provide a transparent access to various remote systems via a uniform user interface. This simplifies the porting of applications to different systems, because PTP functions as abstraction layer between parallel application developer and compute resources. The common requirement for all PTP components is that they have to interact with the remote supercomputer. E.g. applications are built remotely and performance tools are attached to job submissions and their output data resides on the remote system. Status data has to be collected by evaluating outputs of the remote job scheduler and the parallel debugger needs to control an application executed on the supercomputer. The challenge is to provide this functionality for peta-scale systems in real-time. The client server architecture of the established monitoring application LLview, developed by the JSC, can be applied to PTP's system monitoring. LLview provides a well-arranged overview of the supercomputer's current status. A set of statistics, a list of running and queued jobs as well as a node display mapping running jobs to their compute resources form

  17. 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

  18. Advanced Computational Thermal Studies and their Assessment for Supercritical-Pressure Reactors (SCRs)

    SciTech Connect (OSTI)

    D. M. McEligot; J. Y. Yoo; J. S. Lee; S. T. Ro; E. Lurien; S. O. Park; R. H. Pletcher; B. L. Smith; P. Vukoslavcevic; J. M. Wallace

    2009-04-01

    The goal of this laboratory / university collaboration of coupled computational and experimental studies is the improvement of predictive methods for supercritical-pressure reactors. The general objective is to develop supporting knowledge needed of advanced computational techniques for the technology development of the concepts and their safety systems.

  19. Sandia National Laboratories: Advanced Simulation and Computing: Contact

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

    ASC Contact ASC Sandia ASC Program Contacts Program Director Bruce Hendrickson bahendr@sandia.gov Program Manager David Womble dewombl@sandia.gov Integrated Codes Lead Scott Hutchinson sahutch@sandia.gov Physics & Engineering Modeling Lead Jim Redmond jmredmo@sandia.gov Verification & Validation Lead Curt Nilsen canilse@sandia.gov Computational Systems & Software Engineering Lead Ken Alvin kfalvin@sandia.gov Facilities Operations & User Support Lead Tom Klitsner

  20. Advanced Scienti c Computing Research Network Requirements Review

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

    Scienti c Computing Research Network Requirements Review Final Report April 22-23, 2015 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this doc- ument is believed to contain correct informa on, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy,

  1. 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 CPLEX™ 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.

  2. FY 2012 Budget Request Advanced Research Projects Agency - Energy

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

    ... risk analyses * Advanced Modeling Grid Research - Continues development of computational, mathematical, and scientific ... needed to transform the tools and algorithms that ...

  3. 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

  4. 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.

  5. Computational Science and Engineering

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

    Computational Science and Engineering NETL's Computational Science and Engineering competency consists of conducting applied scientific research and developing physics-based simulation models, methods, and tools to support the development and deployment of novel process and equipment designs. Research includes advanced computations to generate information beyond the reach of experiments alone by integrating experimental and computational sciences across different length and time scales. Specific

  6. 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.

  7. The National Center for Biomedical Ontology: Advancing Biomedicinethrough Structured Organization of Scientific Knowledge

    SciTech Connect (OSTI)

    Rubin, Daniel L.; Lewis, Suzanna E.; Mungall, Chris J.; Misra,Sima; Westerfield, Monte; Ashburner, Michael; Sim, Ida; Chute,Christopher G.; Solbrig, Harold; Storey, Margaret-Anne; Smith, Barry; Day-Richter, John; Noy, Natalya F.; Musen, Mark A.

    2006-01-23

    The National Center for Biomedical Ontology (http://bioontology.org) is a consortium that comprises leading informaticians, biologists, clinicians, and ontologists funded by the NIH Roadmap to develop innovative technology and methods that allow scientists to record, manage, and disseminate biomedical information and knowledge in machine-processable form. The goals of the Center are: (1) to help unify the divergent and isolated efforts in ontology development by promoting high quality open-source, standards-based tools to create, manage, and use ontologies, (2) to create new software tools so that scientists can use ontologies to annotate and analyze biomedical data, (3) to provide a national resource for the ongoing evaluation, integration, and evolution of biomedical ontologies and associated tools and theories in the context of driving biomedical projects (DBPs), and (4) to disseminate the tools and resources of the Center and to identify, evaluate, and communicate best practices of ontology development to the biomedical community. The Center is working toward these objectives by providing tools to develop ontologies and to annotate experimental data, and by developing resources to integrate and relate existing ontologies as well as by creating repositories of biomedical data that are annotated using those ontologies. The Center is providing training workshops in ontology design, development, and usage, and is also pursuing research in ontology evaluation, quality, and use of ontologies to promote scientific discovery. Through the research activities within the Center, collaborations with the DBPs, and interactions with the biomedical community, our goal is to help scientists to work more effectively in the e-science paradigm, enhancing experiment design, experiment execution, data analysis, information synthesis, hypothesis generation and testing, and understand human disease.

  8. 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.

  9. 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.

  10. Large Scale Production Computing and Storage Requirements for...

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

    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 ...

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

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

    Large Scale Production Computing and Storage Requirements for High Energy Physics: Target 2017 ... Energy's Office of High Energy Physics (HEP), Office of Advanced Scientific ...

  12. DOE's Office of Science Seeks Proposals for Expanded Large-Scale Scientific Computing

    Broader source: Energy.gov [DOE]

    WASHINGTON, D.C. -- Secretary of Energy Samuel W. Bodman announced today that DOE’s Office of Science is seeking proposals to support innovative, large-scale computational science projects to...

  13. Advanced Communication and Control for Distributed Energy Resource Integration: Phase 2 Scientific Report

    SciTech Connect (OSTI)

    BPL Global

    2008-09-30

    The objective of this research project is to demonstrate sensing, communication, information and control technologies to achieve a seamless integration of multivendor distributed energy resource (DER) units at aggregation levels that meet individual user requirements for facility operations (residential, commercial, industrial, manufacturing, etc.) and further serve as resource options for electric and natural gas utilities. The fully demonstrated DER aggregation system with embodiment of communication and control technologies will lead to real-time, interactive, customer-managed service networks to achieve greater customer value. Work on this Advanced Communication and Control Project (ACCP) consists of a two-phase approach for an integrated demonstration of communication and control technologies to achieve a seamless integration of DER units to reach progressive levels of aggregated power output. Phase I involved design and proof-of-design, and Phase II involves real-world demonstration of the Phase I design architecture. The scope of work for Phase II of this ACCP involves demonstrating the Phase I design architecture in large scale real-world settings while integrating with the operations of one or more electricity supplier feeder lines. The communication and control architectures for integrated demonstration shall encompass combinations of software and hardware components, including: sensors, data acquisition and communication systems, remote monitoring systems, metering (interval revenue, real-time), local and wide area networks, Web-based systems, smart controls, energy management/information systems with control and automation of building energy loads, and demand-response management with integration of real-time market pricing. For Phase II, BPL Global shall demonstrate the Phase I design for integrating and controlling the operation of more than 10 DER units, dispersed at various locations in one or more Independent System Operator (ISO) Control Areas, at

  14. 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.

  15. FY05-FY06 Advanced Simulation and Computing Implementation Plan, Volume 2

    SciTech Connect (OSTI)

    Baron, A L

    2004-07-19

    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 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 will require 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 weapon design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile life extension programs and the resolution of significant finding investigations (SFIs). This requires a balanced system of technical staff, hardware, simulation software, and computer science solutions.

  16. SciCADE 95: International conference on scientific computation and differential equations

    SciTech Connect (OSTI)

    1995-12-31

    This report consists of abstracts from the conference. Topics include algorithms, computer codes, and numerical solutions for differential equations. Linear and nonlinear as well as boundary-value and initial-value problems are covered. Various applications of these problems are also included.

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

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

    (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

  18. Eighth SIAM conference on parallel processing for scientific computing: Final program and abstracts

    SciTech Connect (OSTI)

    1997-12-31

    This SIAM conference is the premier forum for developments in parallel numerical algorithms, a field that has seen very lively and fruitful developments over the past decade, and whose health is still robust. Themes for this conference were: combinatorial optimization; data-parallel languages; large-scale parallel applications; message-passing; molecular modeling; parallel I/O; parallel libraries; parallel software tools; parallel compilers; particle simulations; problem-solving environments; and sparse matrix computations.

  19. Development of high performance scientific components for interoperability of computing packages

    SciTech Connect (OSTI)

    Gulabani, Teena Pratap

    2008-12-01

    Three major high performance quantum chemistry computational packages, NWChem, GAMESS and MPQC have been developed by different research efforts following different design patterns. The goal is to achieve interoperability among these packages by overcoming the challenges caused by the different communication patterns and software design of each of these packages. A chemistry algorithm is hard to develop as well as being a time consuming process; integration of large quantum chemistry packages will allow resource sharing and thus avoid reinvention of the wheel. Creating connections between these incompatible packages is the major motivation of the proposed work. This interoperability is achieved by bringing the benefits of Component Based Software Engineering through a plug-and-play component framework called Common Component Architecture (CCA). In this thesis, I present a strategy and process used for interfacing two widely used and important computational chemistry methodologies: Quantum Mechanics and Molecular Mechanics. To show the feasibility of the proposed approach the Tuning and Analysis Utility (TAU) has been coupled with NWChem code and its CCA components. Results show that the overhead is negligible when compared to the ease and potential of organizing and coping with large-scale software applications.

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

    SciTech Connect (OSTI)

    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 of handling the entire spectrum of beam dynamics simulations. Our authors present Synergia's design principles and its performance on HPC platforms.

  1. 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 packagemorecapable 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

  2. 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

  3. 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).

  4. 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.

  5. Berkeley Lab Opens State-of-the-Art Facility for Computational...

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

    Complementing NERSC and ESnet in the facility will be research programs in applied mathematics and computer science that develop new methods for advancing scientific discovery. ...

  6. 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

  7. 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

  8. DOE Science Showcase - High-Performance Computing | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    DOE Computing, Energy.gov DOE Office of Science Advanced Scientific Computing Research ... SciTech Connect National Library of EnergyBeta Science.gov Ciencia.Science.gov ...

  9. 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.

  10. Construction of Blaze at the University of Illinois at Chicago: A Shared, High-Performance, Visual Computer for Next-Generation Cyberinfrastructure-Accelerated Scientific, Engineering, Medical and Public Policy Research

    SciTech Connect (OSTI)

    Brown, Maxine D.; Leigh, Jason

    2014-02-17

    The Blaze high-performance visual computing system serves the high-performance computing research and education needs of University of Illinois at Chicago (UIC). Blaze consists of a state-of-the-art, networked, computer cluster and ultra-high-resolution visualization system called CAVE2(TM) that is currently not available anywhere in Illinois. This system is connected via a high-speed 100-Gigabit network to the State of Illinois' I-WIRE optical network, as well as to national and international high speed networks, such as the Internet2, and the Global Lambda Integrated Facility. This enables Blaze to serve as an on-ramp to national cyberinfrastructure, such as the National Science Foundation’s Blue Waters petascale computer at the National Center for Supercomputing Applications at the University of Illinois at Chicago and the Department of Energy’s Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. DOE award # DE-SC005067, leveraged with NSF award #CNS-0959053 for “Development of the Next-Generation CAVE Virtual Environment (NG-CAVE),” enabled us to create a first-of-its-kind high-performance visual computing system. The UIC Electronic Visualization Laboratory (EVL) worked with two U.S. companies to advance their commercial products and maintain U.S. leadership in the global information technology economy. New applications are being enabled with the CAVE2/Blaze visual computing system that is advancing scientific research and education in the U.S. and globally, and help train the next-generation workforce.

  11. 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

    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

  12. 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

  13. 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

  14. Amplify scientific discovery with artificial intelligence

    SciTech Connect (OSTI)

    Gil, Yolanda; Greaves, Mark T.; Hendler, James; Hirsch, Hyam

    2014-10-10

    Computing innovations have fundamentally changed many aspects of scientific inquiry. For example, advances in robotics, high-end computing, networking, and databases now underlie much of what we do in science such as gene sequencing, general number crunching, sharing information between scientists, and analyzing large amounts of data. As computing has evolved at a rapid pace, so too has its impact in science, with the most recent computing innovations repeatedly being brought to bear to facilitate new forms of inquiry. Recently, advances in Artificial Intelligence (AI) have deeply penetrated many consumer sectors, including for example Apple’s Siri™ speech recognition system, real-time automated language translation services, and a new generation of self-driving cars and self-navigating drones. However, AI has yet to achieve comparable levels of penetration in scientific inquiry, despite its tremendous potential in aiding computers to help scientists tackle tasks that require scientific reasoning. We contend that advances in AI will transform the practice of science as we are increasingly able to effectively and jointly harness human and machine intelligence in the pursuit of major scientific challenges.

  15. 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 Energy Defense Waste Management Programs Advanced Nuclear Energy

  16. 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.

  17. 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.

  18. DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing

    Office of Energy Efficiency and Renewable Energy (EERE)

    WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's most powerful...

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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.

  4. ASCR Leadership Computing Challenge (ALCC) | U.S. DOE Office of Science

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

    (SC) ASCR Leadership Computing Challenge (ALCC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Accessing ASCR Facilities Innovative & Novel Computational Impact on Theory & Experiement (INCITE) ASCR Leadership Computing Challenge (ALCC) Current Awards Past Awards Industrial Users Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science Highlights Benefits of ASCR Funding Opportunities

  5. 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

  6. Computing at JLab

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

    JLab --- Accelerator Controls CAD CDEV CODA Computer Center High Performance Computing Scientific Computing JLab Computer Silo maintained by webmaster@jlab.org...

  7. Scientific Impact

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

    impact Scientific Impact Since its inception over twenty years ago, CAMS has achieved noteworthy scientific progress by developing new capabilities and by combining state-of-the-art tools and expertise to address important scientific challenges. Scientific Leadership CAMS scientists are recognized as scientific leaders in the field of AMS and the disciplines that it supports. Many CAMS staff participate on federal agency (NIH, NSF, NOAA and DOE) scientific review panels as well as giving a

  8. 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...

  9. 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.

  10. Throwback Thursdays Celebrate Scientific Supercomputing

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

    Throwback Thursdays Celebrate Scientific Supercomputing A Cray-1 supercomputer arrives at the Magnetic Fusion Energy Computer Center in A Cray-1 supercomputer arrives at the ...

  11. Scientific and Organizational Awards | NREL

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

    Scientific and Organizational Awards NREL's facility and staff are regularly recognized by scientific societies and community and government organizations. Find awards and honors by category below. Scientific and Technical Society Honors and Awards Scientific and technical society fellows are listed below, along with recent awards. American Association for the Advancement of Science 2015 Fellow -Brian Gregg 2014 Fellow - David S. Ginley 2013 Fellow - Martin Keller 2011 Fellow - Stanley Bull 2003

  12. Computing Frontier: Distributed Computing

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

    Computing Frontier: Distributed Computing and Facility Infrastructures Conveners: Kenneth Bloom 1 , Richard Gerber 2 1 Department of Physics and Astronomy, University of Nebraska-Lincoln 2 National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory 1.1 Introduction The field of particle physics has become increasingly reliant on large-scale computing resources to address the challenges of analyzing large datasets, completing specialized computations and

  13. 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

  14. Computer Aided Design of Advanced Turbine Airfoil Alloys for Industrial Gas Turbines in Coal Fired Environments

    SciTech Connect (OSTI)

    G.E. Fuchs

    2007-12-31

    Recent initiatives for fuel flexibility, increased efficiency and decreased emissions in power generating industrial gas turbines (IGT's), have highlighted the need for the development of techniques to produce large single crystal or columnar grained, directionally solidified Ni-base superalloy turbine blades and vanes. In order to address the technical difficulties of producing large single crystal components, a program has been initiated to, using computational materials science, better understand how alloy composition in potential IGT alloys and solidification conditions during processing, effect castability, defect formation and environmental resistance. This program will help to identify potential routes for the development of high strength, corrosion resistant airfoil/vane alloys, which would be a benefit to all IGT's, including small IGT's and even aerospace gas turbines. During the first year, collaboration with Siemens Power Corporation (SPC), Rolls-Royce, Howmet and Solar Turbines has identified and evaluated about 50 alloy compositions that are of interest for this potential application. In addition, alloy modifications to an existing alloy (CMSX-4) were also evaluated. Collaborating with SPC and using computational software at SPC to evaluate about 50 alloy compositions identified 5 candidate alloys for experimental evaluation. The results obtained from the experimentally determined phase transformation temperatures did not compare well to the calculated values in many cases. The effects of small additions of boundary strengtheners (i.e., C, B and N) to CMSX-4 were also examined. The calculated phase transformation temperatures were somewhat closer to the experimentally determined values than for the 5 candidate alloys, discussed above. The calculated partitioning coefficients were similar for all of the CMSX-4 alloys, similar to the experimentally determined segregation behavior. In general, it appears that computational materials science has become a

  15. Advanced Computational Thermal Fluid Physics (CTFP) and Its Assessment for Light Water Reactors and Supercritical Reactors

    SciTech Connect (OSTI)

    D.M. McEligot; K. G. Condie; G. E. McCreery; H. M. McIlroy; R. J. Pink; L.E. Hochreiter; J.D. Jackson; R.H. Pletcher; B.L. Smith; P. Vukoslavcevic; J.M. Wallace; J.Y. Yoo; J.S. Lee; S.T. Ro; S.O. Park

    2005-10-01

    Background: The ultimate goal of the study is the improvement of predictive methods for safety analyses and design of Generation IV reactor systems such as supercritical water reactors (SCWR) for higher efficiency, improved performance and operation, design simplification, enhanced safety and reduced waste and cost. The objective of this Korean / US / laboratory / university collaboration of coupled fundamental computational and experimental studies is to develop the supporting knowledge needed for improved predictive techniques for use in the technology development of Generation IV reactor concepts and their passive safety systems. The present study emphasizes SCWR concepts in the Generation IV program.

  16. Accelerating scientific discovery : 2007 annual report.

    SciTech Connect (OSTI)

    Beckman, P.; Dave, P.; Drugan, C.

    2008-11-14

    As a gateway for scientific discovery, the Argonne Leadership Computing Facility (ALCF) works hand in hand with the world's best computational scientists to advance research in a diverse span of scientific domains, ranging from chemistry, applied mathematics, and materials science to engineering physics and life sciences. Sponsored by the U.S. Department of Energy's (DOE) Office of Science, researchers are using the IBM Blue Gene/L supercomputer at the ALCF to study and explore key scientific problems that underlie important challenges facing our society. For instance, a research team at the University of California-San Diego/ SDSC is studying the molecular basis of Parkinson's disease. The researchers plan to use the knowledge they gain to discover new drugs to treat the disease and to identify risk factors for other diseases that are equally prevalent. Likewise, scientists from Pratt & Whitney are using the Blue Gene to understand the complex processes within aircraft engines. Expanding our understanding of jet engine combustors is the secret to improved fuel efficiency and reduced emissions. Lessons learned from the scientific simulations of jet engine combustors have already led Pratt & Whitney to newer designs with unprecedented reductions in emissions, noise, and cost of ownership. ALCF staff members provide in-depth expertise and assistance to those using the Blue Gene/L and optimizing user applications. Both the Catalyst and Applications Performance Engineering and Data Analytics (APEDA) teams support the users projects. In addition to working with scientists running experiments on the Blue Gene/L, we have become a nexus for the broader global community. In partnership with the Mathematics and Computer Science Division at Argonne National Laboratory, we have created an environment where the world's most challenging computational science problems can be addressed. Our expertise in high-end scientific computing enables us to provide guidance for applications

  17. Computing

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

    Computing and Storage Requirements Computing and Storage Requirements for FES J. Candy General Atomics, San Diego, CA Presented at DOE Technical Program Review Hilton Washington DC/Rockville Rockville, MD 19-20 March 2013 2 Computing and Storage Requirements Drift waves and tokamak plasma turbulence Role in the context of fusion research * Plasma performance: In tokamak plasmas, performance is limited by turbulent radial transport of both energy and particles. * Gradient-driven: This turbulent

  18. computers

    National Nuclear Security Administration (NNSA)

    California.

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

  19. Throwback Thursdays Celebrate Scientific Supercomputing

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

    Home » News & Publications » News » Center News » Throwback Thursdays Celebrate Scientific Supercomputing Throwback Thursdays Celebrate Scientific Supercomputing A Cray-1 supercomputer arrives at the Magnetic Fusion Energy Computer Center in A Cray-1 supercomputer arrives at the Magnetic Fusion Energy Computer Center in May 1978. The U.S. Department of Energy (DOE) was investing in scientific supercomputing long before the internet became the internet, and back when clouds only came in

  20. Berkeley Lab Highlights HPC at Advanced Manufacturing Event

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

    Lab 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

    1. Scientific Bio

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

      Scientific Bio Director Deputy Director Leadership Team Advisory Board Directorate Staff Org Chart Navigate Section Director Deputy Director Leadership Team Advisory Board...

    2. 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

    3. Scientific and Technical Information Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2010-12-13

      The purpose of this directive is to ensure that STI is appropriately managed as part of the DOE mission to enable the advancement of scientific knowledge and technological innovation. Supersedes DOE O 241.1B.

    4. Advanced Computational Approaches for Characterizing Stochastic Cellular Responses to Low Dose, Low Dose Rate Exposures

      SciTech Connect (OSTI)

      Scott, Bobby, R., Ph.D.

      2003-06-27

      OAK - B135 This project final report summarizes modeling research conducted in the U.S. Department of Energy (DOE), Low Dose Radiation Research Program at the Lovelace Respiratory Research Institute from October 1998 through June 2003. The modeling research described involves critically evaluating the validity of the linear nonthreshold (LNT) risk model as it relates to stochastic effects induced in cells by low doses of ionizing radiation and genotoxic chemicals. The LNT model plays a central role in low-dose risk assessment for humans. With the LNT model, any radiation (or genotoxic chemical) exposure is assumed to increase one¡¯s risk of cancer. Based on the LNT model, others have predicted tens of thousands of cancer deaths related to environmental exposure to radioactive material from nuclear accidents (e.g., Chernobyl) and fallout from nuclear weapons testing. Our research has focused on developing biologically based models that explain the shape of dose-response curves for low-dose radiation and genotoxic chemical-induced stochastic effects in cells. Understanding the shape of the dose-response curve for radiation and genotoxic chemical-induced stochastic effects in cells helps to better understand the shape of the dose-response curve for cancer induction in humans. We have used a modeling approach that facilitated model revisions over time, allowing for timely incorporation of new knowledge gained related to the biological basis for low-dose-induced stochastic effects in cells. Both deleterious (e.g., genomic instability, mutations, and neoplastic transformation) and protective (e.g., DNA repair and apoptosis) effects have been included in our modeling. Our most advanced model, NEOTRANS2, involves differing levels of genomic instability. Persistent genomic instability is presumed to be associated with nonspecific, nonlethal mutations and to increase both the risk for neoplastic transformation and for cancer occurrence. Our research results, based on

    5. 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).

    6. Software and High Performance Computing

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

      Computational physics, computer science, applied mathematics, statistics and the ... a fully operational supercomputing environment Providing Current Capability Scientific ...

    7. Scientific Visualization, Seeing the Unseeable

      ScienceCinema (OSTI)

      LBNL

      2009-09-01

      June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in bo... June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in both experimental and computational sciences. Wes Bethel, who heads the Scientific Visualization Group in the Computational Research Division, presents an overview of visualization and computer graphics, current research challenges, and future directions for the field.

    8. 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.

    9. 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...

    10. Large Scale Computing and Storage Requirements for Fusion Energy Sciences: Target 2017

      SciTech Connect (OSTI)

      Gerber, Richard

      2014-05-02

      The National Energy Research Scientific Computing Center (NERSC) is the primary computing center for the DOE Office of Science, serving approximately 4,500 users working on some 650 projects that involve nearly 600 codes in a wide variety of scientific disciplines. In March 2013, NERSC, DOE?s Office of Advanced Scientific Computing Research (ASCR) and DOE?s Office of Fusion Energy Sciences (FES) held a review to characterize High Performance Computing (HPC) and storage requirements for FES research through 2017. This report is the result.

    11. 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.

    12. 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.

    13. 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.

    14. 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 ...

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

      Office of Energy Efficiency and Renewable Energy (EERE)

      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...

    16. Computational Science

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

      ... Advanced Materials Laboratory Center for Integrated Nanotechnologies Combustion Research Facility Computational Science Research Institute Joint BioEnergy Institute About EC News ...

    17. Large Scale Computing and Storage Requirements for Nuclear Physics: Target

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

      2014 Large Scale Computing and Storage Requirements for Nuclear Physics: Target 2014 NPFrontcover.png May 26-27, 2011 Hyatt Regency Bethesda One Bethesda Metro Center (7400 Wisconsin Ave) Bethesda, Maryland, USA 20814 Final Report Large Scale Computing and Storage Requirements for Nuclear Physics Research, Report of the Joint NP / NERSC Workshop Conducted May 26-27, 2011 Bethesda, MD Sponsored by the U.S. Department of Energy Office of Science, Office of Advanced Scientific Computing

    18. 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,

    19. Peter Nugent Named Deputy for Scientific Engagement

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

      leadership to develop and implement a strategy for engaging with other Berkeley Lab scientific divisions in need of computational solutions for data-intensive science projects. ...

    20. Superlative Supercomputers: Argonne's Mira to Accelerate Scientific...

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

      ... supercomputers actually drives the project team to make these scientific models easier to port to multiple computer architectures. That's what the Office of Science does. ...

    1. Scientific Objective

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

      Biogenic Aerosols - Effects on Clouds and Climate Scientific Objective Aerosols in the sky are essential to Earth's climate because they can reflect light into space, cooling the atmosphere, or they can combine with other particles to create clouds that have both warming and cooling effects. Biogenic aerosols are emitted by the biosphere directly, or are formed from biogenic volatile gases in gas-to-particle conversion. Examples include dead cells and pollen spores. Boreal forests are among the

    2. Preliminary Feasibility, Design, and Hazard Analysis of a Boiling Water Test Loop Within the Idaho National Laboratory Advanced Test Reactor National Scientific User Facility

      SciTech Connect (OSTI)

      Douglas M. Gerstner

      2009-05-01

      The Advanced Test Reactor (ATR) is a pressurized light-water reactor with a design thermal power of 250 MW. The principal function of the ATR is to provide a high neutron flux for testing reactor fuels and other materials. The ATR and its support facilities are located at the Idaho National Laboratory (INL). A Boiling Water Test Loop (BWTL) is being designed for one of the irradiation test positions within the. The objective of the new loop will be to simulate boiling water reactor (BWR) conditions to support clad corrosion and related reactor material testing. Further it will accommodate power ramping tests of candidate high burn-up fuels and fuel pins/rods for the commercial BWR utilities. The BWTL will be much like the pressurized water loops already in service in 5 of the 9 “flux traps” (region of enhanced neutron flux) in the ATR. The loop coolant will be isolated from the primary coolant system so that the loop’s temperature, pressure, flow rate, and water chemistry can be independently controlled. This paper presents the proposed general design of the in-core and auxiliary BWTL systems; the preliminary results of the neutronics and thermal hydraulics analyses; and the preliminary hazard analysis for safe normal and transient BWTL and ATR operation.

    3. 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

    4. Advanced Materials

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

      Advanced Manufacturing Office 13 Selectees Announced for High Performance Computing for Manufacturing Program 13 Selectees Announced for High Performance Computing for Manufacturing Program EERE, in partnership with Lawrence Livermore National Laboratory (LLNL), announced the second round of selections for the High Performance Computing for Manufacturing ("HPC4Mfg") Program. Thirteen projects were selected to receive nearly $3.8 million for manufacturers to use high-performance

    5. DOE Science Showcase - Quantum Computer Hardware | OSTI, US Dept of Energy

      Office of Scientific and Technical Information (OSTI)

      Office of Scientific and Technical Information Computer Hardware Building the Quantum Computer In the amazing world of quantum physics, DOE researchers and their partners are designing hardware for quantum computers that function by storing and using data on atoms and the subatomic particles inside of them. Major advances in this hardware development could ultimately accelerate the design of practical, full-scale quantum computers. Learn more about this hardware development in From "1

    6. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      presentations, theses and dissertations, computer software, journal manuscripts and ... PDF. Scientific and technical computer software Submit Submit software package ...

    7. 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.

    8. Peter Nugent Named Deputy for Scientific Engagement

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

      Peter Nugent Named Deputy for Scientific Engagement Peter Nugent Named Deputy for Scientific Engagement June 3, 2014 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov XBD201308-03524-01.jpg Peter Nugent working with 2013 summer student Kayla Mendel. Peter Nugent has been appointed Deputy for Scientific Engagement in Berkeley Lab's Computing Sciences. In his new role, Nugent will work with CRD and Computing Sciences leadership to develop and implement a strategy for engaging with other Berkeley Lab

    9. 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 ...

    10. Scientific and Technical Information Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2010-12-13

      The purpose of this directive is to ensure that STI is appropriately managed as part of the DOE mission to enable the advancement of scientific knowledge and technological innovation. Supersedes DOE O 241.1A and DOE O 241.1A Chg 1.

    11. Sandia National Laboratories Advanced Simulation and Computing (ASC) Software Quality Plan. Part 2, Mappings for the ASC software quality engineering practices. Version 1.0.

      SciTech Connect (OSTI)

      Ellis, Molly A.; Heaphy, Robert; Sturtevant, Judith E.; 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 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.

    12. 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.

    13. Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan part 2 mappings for the ASC software quality engineering practices, version 2.0.

      SciTech Connect (OSTI)

      Heaphy, Robert; Sturtevant, Judith E.; 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 CPR001.3.2 and CPR001.3.6 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.

    14. DOE Advanced Scientific Advisory Committee (ASCAC): Workforce...

      Office of Scientific and Technical Information (OSTI)

      Scott A. 6 ; Sarkar, Vivek 7 ; Stahlberg, Eric 8 ; Vetter, Jeffrey S. 9 ; Williams, Dean 5 + Show Author Affiliations University of Houston Total SA Lawrence Berkeley ...

    15. Educating Scientifically - Advances in Physics Education Research

      ScienceCinema (OSTI)

      Finkelstein, Noah [University of Colorado, Colorado, USA

      2009-09-01

      It is now fairly well documented that traditionally taught, large-scale introductory physics courses fail to teach our students the basics. In fact, often these same courses have been found to teach students things we do not want. Building on a tradition of research in physics, the physics education research community has been researching the effects of educational practice and reforms at the undergraduate level for many decades. From these efforts and those within the fields of education, cognitive science, and psychology we have learned a great deal about student learning and environments that support learning for an increasingly diverse population of students in the physics classroom. This talk will introduce some of the ideas from physics education research, discuss a variety of effective classroom practices/ surrounding educational structures, and begin to examine why these do (and do not) work. I will present both a survey of physics education research and some of the exciting theoretical and experimental developments emerging from the University of Colorado.

    16. Barbara Helland, Facilities Division Director Advanced Scientific...

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

      r egime ( 2020---2025 5 meframe). HEP: I den+fy k ey c omputa+onal s cience o bjec+ves f rom H igh E nergy P hysics t hat p ush exascale and d escribe t he H PC e cosystem -...

    17. The Digital Road to Scientific Knowledge Diffusion

      Office of Scientific and Technical Information (OSTI)

      Digital Road to Scientific Knowledge Diffusion A Faster, Better Way to Scientific Progress? By David E. Wojick, Walter L. Warnick, Bonnie C. Carroll, and June Crowe Introduction With the United States federal government spending over $130 billion annually for research and development, ways to increase the productivity of that research can have a significant return on investment. It is well known that all scientific advancement is based on work that has come before. Isaac Newton expressed this

    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. 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

    20. 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

    1. NREL: Computational Science Home Page

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

      high-performance computing, computational science, applied mathematics, scientific data management, visualization, and informatics. NREL is home to the largest high performance...

    2. Multicore Architecture-aware Scientific Applications

      SciTech Connect (OSTI)

      Srinivasa, Avinash

      2011-11-28

      Modern high performance systems are becoming increasingly complex and powerful due to advancements in processor and memory architecture. In order to keep up with this increasing complexity, applications have to be augmented with certain capabilities to fully exploit such systems. These may be at the application level, such as static or dynamic adaptations or at the system level, like having strategies in place to override some of the default operating system polices, the main objective being to improve computational performance of the application. The current work proposes two such capabilites with respect to multi-threaded scientific applications, in particular a large scale physics application computing ab-initio nuclear structure. The first involves using a middleware tool to invoke dynamic adaptations in the application, so as to be able to adjust to the changing computational resource availability at run-time. The second involves a strategy for effective placement of data in main memory, to optimize memory access latencies and bandwidth. These capabilties when included were found to have a significant impact on the application performance, resulting in average speedups of as much as two to four times.

    3. 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.

    4. Computing Videos

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

      Computing Videos Computing

    5. Applied Computer Science

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

      7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader ...

    6. 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.

    7. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation,...

    8. 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.

    9. Portable Extensible Toolkit for Scientific Computation

      Energy Science and Technology Software Center (OSTI)

      1995-06-30

      PETSC2.0 is a software toolkit for portable, parallel (and serial) numerical solution of partial differential equations and minimization problems. It includes software for the solution of linear and nonlinear systems of equations. These codes are written in a data-structure-neutral manner to enable easy reuse and flexibility.

    10. National Energy Research Scientific Computing Center (NERSC)...

      Office of Science (SC) Website

      ... and along with improvements in the detector's calibration, allowed scientists to test additional particle models of dark matter that now can be excluded from the search. ...

    11. Computers as Scientific Peers | GE Global Research

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

      This is clearly not a trivial task. For decades, researchers in a number of fields related to Linguistics and Artificial Intelligence have been working on problems that can ...

    12. National Energ y Research Scientific Computing Center

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

      ... chemical, biological, and earth sciences on the other. ... S I G N I F I C A N C E There is a great demand for simple ... Electronic Structure of MetalCeramic Interfaces In this ...

    13. National Energy Research Scientific Computing Center

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

      ... Artist's rendering of a rare B-meson "penguin" showing the ... Sun and outgoing heat from the Earth is well established. ... Kinectrics Metal alloys for pipe networks DDR Melior ...

    14. National Energy Research Scientific Computing Center

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

      Verification and Scaling Prototype PI: John M. Shalf, Lawrence Berkeley National ... NERSC Fields Its First Student Cluster Competition Team June 6, 2016 DoughertyValley5 26 ...

    15. National Energy Research Scientific Computing Center

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

      3,072 Material Simulations in Joint Center for Artificial Photosynthesis (JCAP) PI: Frances A. Houle, Lawrence Berkeley National Laboratory Edison 3,072 LLNL MFE Supercomputing...

    16. 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...

    17. Index of /documents/public/ScientificWriting

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

      ScientificWriting

    18. Load Balancing Scientific Applications

      SciTech Connect (OSTI)

      Pearce, Olga Tkachyshyn

      2014-12-01

      The largest supercomputers have millions of independent processors, and concurrency levels are rapidly increasing. For ideal efficiency, developers of the simulations that run on these machines must ensure that computational work is evenly balanced among processors. Assigning work evenly is challenging because many large modern parallel codes simulate behavior of physical systems that evolve over time, and their workloads change over time. Furthermore, the cost of imbalanced load increases with scale because most large-scale scientific simulations today use a Single Program Multiple Data (SPMD) parallel programming model, and an increasing number of processors will wait for the slowest one at the synchronization points. To address load imbalance, many large-scale parallel applications use dynamic load balance algorithms to redistribute work evenly. The research objective of this dissertation is to develop methods to decide when and how to load balance the application, and to balance it effectively and affordably. We measure and evaluate the computational load of the application, and develop strategies to decide when and how to correct the imbalance. Depending on the simulation, a fast, local load balance algorithm may be suitable, or a more sophisticated and expensive algorithm may be required. We developed a model for comparison of load balance algorithms for a specific state of the simulation that enables the selection of a balancing algorithm that will minimize overall runtime.

    19. Definitions | OSTI, US Dept of Energy Office of Scientific and...

      Office of Scientific and Technical Information (OSTI)

      theses and dissertations, computer software, journal manuscripts and citations, ... resulting from research and development (R&D) efforts and scientific and ...

    20. Scientific Research Data | OSTI, US Dept of Energy Office of...

      Office of Scientific and Technical Information (OSTI)

      (STI) available as well, providing access to underlying non-text data such as numeric files, computer simulations and interactive maps, as well as multimedia and scientific images. ...

    1. Call for Proposals: NERSC Initiative for Scientific Exploration...

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

      our computational systems through the NERSC Initiative for Scientific Exploration (NISE) program. This year we expect to allocate about 100 million hours to a few large projects. ...

    2. 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.

    3. Multi-Programmatic and Institutional Computing Capacity Resource Attachment 2 Statement of Work

      SciTech Connect (OSTI)

      Seager, M

      2002-04-15

      Lawrence Livermore National Laboratory (LLNL) has identified high-performance computing as a critical competency necessary to meet the goals of LLNL's scientific and engineering programs. Leadership in scientific computing demands the availability of a stable, powerful, well-balanced computational infrastructure, and it requires research directed at advanced architectures, enabling numerical methods and computer science. To encourage all programs to benefit from the huge investment being made by the Advanced Simulation and Computing Program (ASCI) at LLNL, and to provide a mechanism to facilitate multi-programmatic leveraging of resources and access to high-performance equipment by researchers, M&IC was created. The Livermore Computing (LC) Center, a part of the Computations Directorate Integrated Computing and Communications (ICC) Department can be viewed as composed of two facilities, one open and one secure. This acquisition is focused on the M&IC resources in the Open Computing Facility (OCF). For the M&IC program, recent efforts and expenditures have focused on enhancing capacity and stabilizing the TeraCluster 2000 (TC2K) resource. Capacity is a measure of the ability to process a varied workload from many scientists simultaneously. Capability represents the ability to deliver a very large system to run scientific calculations at large scale. In this procurement action, we intend to significantly increase the capability of the M&IC resource to address multiple teraFLOP/s problems, and well as increasing the capacity to do many 100 gigaFLOP/s calculations.

    4. Microsoft Word - The_Advanced_Networks_and_Services_Underpinning_Modern,Large-Scale_Science.SciDAC.v5.doc

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

      ESnet4: Advanced Networking and Services Supporting the Science Mission of DOE's Office of Science William E. Johnston ESnet Dept. Head and Senior Scientist Lawrence Berkeley National Laboratory May, 2007 1 Introduction In many ways, the dramatic achievements in scientific discovery through advanced computing and the discoveries of the increasingly large-scale instruments with their enormous data handling and remote collaboration requirements, have been made possible by accompanying

    5. Simulations for Complex Fluid Flow Problems from Berkeley Lab's Center for Computational Sciences and Engineering (CCSE)

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

      The Center for Computational Sciences and Engineering (CCSE) develops and applies advanced computational methodologies to solve large-scale scientific and engineering problems arising in the Department of Energy (DOE) mission areas involving energy, environmental, and industrial technology. The primary focus is in the application of structured-grid finite difference methods on adaptive grid hierarchies for compressible, incompressible, and low Mach number flows. The diverse range of scientific applications that drive the research typically involve a large range of spatial and temporal scales (e.g. turbulent reacting flows) and require the use of extremely large computing hardware, such as the 153,000-core computer, Hopper, at NERSC. The CCSE approach to these problems centers on the development and application of advanced algorithms that exploit known separations in scale; for many of the application areas this results in algorithms are several orders of magnitude more efficient than traditional simulation approaches.

    6. Large Scale Computing and Storage Requirements for Nuclear Physics Research

      SciTech Connect (OSTI)

      Gerber, Richard A.; Wasserman, Harvey J.

      2012-03-02

      IThe National Energy Research Scientific Computing Center (NERSC) is the primary computing center for the DOE Office of Science, serving approximately 4,000 users and hosting some 550 projects that involve nearly 700 codes for a wide variety of scientific disciplines. In addition to large-scale computing resources NERSC provides critical staff support and expertise to help scientists make the most efficient use of these resources to advance the scientific mission of the Office of Science. In May 2011, NERSC, DOE’s Office of Advanced Scientific Computing Research (ASCR) and DOE’s Office of Nuclear Physics (NP) held a workshop to characterize HPC requirements for NP research over the next three to five years. The effort is part of NERSC’s continuing involvement in anticipating future user needs and deploying necessary resources to meet these demands. The workshop revealed several key requirements, in addition to achieving its goal of characterizing NP computing. The key requirements include: 1. Larger allocations of computational resources at NERSC; 2. Visualization and analytics support; and 3. Support at NERSC for the unique needs of experimental nuclear physicists. This report expands upon these key points and adds others. The results are based upon representative samples, called “case studies,” of the needs of science teams within NP. The case studies were prepared by NP workshop participants and contain a summary of science goals, methods of solution, current and future computing requirements, and special software and support needs. Participants were also asked to describe their strategy for computing in the highly parallel, “multi-core” environment that is expected to dominate HPC architectures over the next few years. The report also includes a section with NERSC responses to the workshop findings. NERSC has many initiatives already underway that address key workshop findings and all of the action items are aligned with NERSC strategic plans.

    7. 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.

    8. Los Alamos National Laboratory Scientific Excellence for Mission Impact

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

      March 10, 2015 | 1 UNCLASSIFIED As a Premier National Security Scientific Laboratory, Los Alamos tackles:  Multidisciplinary science, technology, and engineering challenges  Problems demanding unique experimental and computational facilities  Highly complex national security issues requiring fundamental breakthroughs LOS ALAMOS A NATIONAL SECURITY SCIENTIFIC LABORATORY FOR THE 21ST CENTURY The nation's investment in Los Alamos has fostered scientific capabilities for national security

    9. DOE Science Showcase - Computing Research | OSTI, US Dept of Energy Office

      Office of Scientific and Technical Information (OSTI)

      of Scientific and Technical Information Computing Research For the growing number of problems where experiments are impossible, dangerous, or inordinately costly, exascale computing will enable the solution of vastly more accurate predictive models and the analysis of massive quantities of data, producing advances in areas of science and technology that are essential to DOE and Office of Science missions and, in the hands of the private sector, drive U.S. competitiveness. Courtesy of

    10. Mathematics and Computer Science Division | Argonne National...

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

      Mathematics and Computer Science Division To help solve some of the nation's most critical scientific problems, the Mathematics and Computer Science (MCS) Division at Argonne ...

    11. Advancing Concentrating Solar Power Research (Fact Sheet)

      SciTech Connect (OSTI)

      Not Available

      2014-02-01

      Researchers at the National Renewable Energy Laboratory (NREL) provide scientific, engineering, and analytical expertise to help advance innovation in concentrating solar power (CSP). This fact sheet summarizes how NREL is advancing CSP research.

    12. Impact of Pretreatment Combined {sup 18}F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Staging on Radiation Therapy Treatment Decisions in Locally Advanced Breast Cancer

      SciTech Connect (OSTI)

      Ng, Sweet Ping; David, Steven; Alamgeer, Muhammad; Ganju, Vinod

      2015-09-01

      Purpose: To assess the diagnostic performance of pretreatment {sup 18}F-fluorodeoxyglucose positron emission tomography/computed tomography ({sup 18}F-FDG PET/CT) and its impact on radiation therapy treatment decisions in patients with locally advanced breast cancer (LABC). Methods and Materials: Patients with LABC with Eastern Cooperative Oncology Group performance status <2 and no contraindication to neoadjuvant chemotherapy, surgery, and adjuvant radiation therapy were enrolled on a prospective trial. All patients had pretreatment conventional imaging (CI) performed, including bilateral breast mammography and ultrasound, bone scan, and CT chest, abdomen, and pelvis scans performed. Informed consent was obtained before enrolment. Pretreatment whole-body {sup 18}F-FDG PET/CT scans were performed on all patients, and results were compared with CI findings. Results: A total of 154 patients with LABC with no clinical or radiologic evidence of distant metastases on CI were enrolled. Median age was 49 years (range, 26-70 years). Imaging with PET/CT detected distant metastatic disease and/or locoregional disease not visualized on CI in 32 patients (20.8%). Distant metastatic disease was detected in 17 patients (11.0%): 6 had bony metastases, 5 had intrathoracic metastases (pulmonary/mediastinal), 2 had distant nodal metastases, 2 had liver metastases, 1 had pulmonary and bony metastases, and 1 had mediastinal and distant nodal metastases. Of the remaining 139 patients, nodal disease outside conventional radiation therapy fields was detected on PET/CT in 15 patients (10.8%), with involvement of ipsilateral internal mammary nodes in 13 and ipsilateral level 5 cervical nodes in 2. Conclusions: Imaging with PET/CT provides superior diagnostic and staging information in patients with LABC compared with CI, which has significant therapeutic implications with respect to radiation therapy management. Imaging with PET/CT should be considered in all patients undergoing primary

    13. Australian Commonwealth Scientific and Industrial Organisation | Energy

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

      Systems Integration | NREL Australia's Commonwealth Scientific and Industrial Organisation Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO) and NREL researchers are validating a plug-and-play microgrid control solution. This technology helps hybrid microgrids to automatically recognize when solar power is available and prioritize its use over other power sources. Photo of three researchers examining computer screens in a laboratory Photo by Dennis Schroeder

    14. 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

    15. Advance Network Reservation and Provisioning for Science

      SciTech Connect (OSTI)

      Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

      2009-07-10

      We are witnessing a new era that offers new opportunities to conduct scientific research with the help of recent advancements in computational and storage technologies. Computational intensive science spans multiple scientific domains, such as particle physics, climate modeling, and bio-informatics simulations. These large-scale applications necessitate collaborators to access very large data sets resulting from simulations performed in geographically distributed institutions. Furthermore, often scientific experimental facilities generate massive data sets that need to be transferred to validate the simulation data in remote collaborating sites. A major component needed to support these needs is the communication infrastructure which enables high performance visualization, large volume data analysis, and also provides access to computational resources. In order to provide high-speed on-demand data access between collaborating institutions, national governments support next generation research networks such as Internet 2 and ESnet (Energy Sciences Network). Delivering network-as-a-service that provides predictable performance, efficient resource utilization and better coordination between compute and storage resources is highly desirable. In this paper, we study network provisioning and advanced bandwidth reservation in ESnet for on-demand high performance data transfers. We present a novel approach for path finding in time-dependent transport networks with bandwidth guarantees. We plan to improve the current ESnet advance network reservation system, OSCARS [3], by presenting to the clients, the possible reservation options and alternatives for earliest completion time and shortest transfer duration. The Energy Sciences Network (ESnet) provides high bandwidth connections between research laboratories and academic institutions for data sharing and video/voice communication. The ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) establishes

    16. Parallel Computing Summer Research Internship

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

      should have basic experience with a scientific computing language, such as C, C++, Fortran and with the LINUX operating system. Duration & Location The program will last ten...

    17. Scientific Leadership - JCAP

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

      Scientific Leadership Who We Are JCAP Mission JCAP At A Glance Fact Sheets Organizational Chart Recent Science Technology Transfer Awards & Honors Senior Management Scientific Leadership Researchers Governance & Advisory Boards Operations & Administration Who we are Overview JCAP Mission JCAP At A Glance Fact Sheets Organizational Chart Our Achievements Recent Science Technology Transfer Awards & Honors Our People Senior Management Scientific Leadership Researchers Governance

    18. Scientific Exchange Program | Photosynthetic Antenna Research Center

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

      Scientific Exchange Program Scientific Exchange Program Applications due February

    19. Theory, Modeling and Computation

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

      Theory, Modeling and Computation Theory, Modeling and Computation The sophistication of modeling and simulation will be enhanced not only by the wealth of data available from MaRIE but by the increased computational capacity made possible by the advent of extreme computing. CONTACT Jack Shlachter (505) 665-1888 Email Extreme Computing to Power Accurate Atomistic Simulations Advances in high-performance computing and theory allow longer and larger atomistic simulations than currently possible.

    20. ATR National Scientific User Facility 2013 Annual Report

      SciTech Connect (OSTI)

      Ulrich, Julie A.; Robertson, Sarah

      2015-03-01

      This is the 2013 Annual Report for the Advanced Test Reactor National Scientific User Facility. This report includes information on university-run research projects along with a description of the program and the capabilities offered researchers.

    1. Delivering Insight The History of the Accelerated Strategic Computing Initiative

      SciTech Connect (OSTI)

      Larzelere II, A R

      2007-01-03

      The history of the Accelerated Strategic Computing Initiative (ASCI) tells of the development of computational simulation into a third fundamental piece of the scientific method, on a par with theory and experiment. ASCI did not invent the idea, nor was it alone in bringing it to fruition. But ASCI provided the wherewithal - hardware, software, environment, funding, and, most of all, the urgency - that made it happen. On October 1, 2005, the Initiative completed its tenth year of funding. The advances made by ASCI over its first decade are truly incredible. Lawrence Livermore, Los Alamos, and Sandia National Laboratories, along with leadership provided by the Department of Energy's Defense Programs Headquarters, fundamentally changed computational simulation and how it is used to enable scientific insight. To do this, astounding advances were made in simulation applications, computing platforms, and user environments. ASCI dramatically changed existing - and forged new - relationships, both among the Laboratories and with outside partners. By its tenth anniversary, despite daunting challenges, ASCI had accomplished all of the major goals set at its beginning. The history of ASCI is about the vision, leadership, endurance, and partnerships that made these advances possible.

    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. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      EDUconnections Archive From 2009 to 2014, EDUconnections spotlighted higher education institutions committed to supporting and advancing the U.S. Department of Energy's scientific ...

    4. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      The lab's core competencies are: Electron-based accelerator research and technology ... and an advanced suite of scientific tools and expertise, SLAC is poised to welcome a ...

    5. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      Prize-winning work? Science Accelerator, developed by the Office of Scientific and Technical Information(OSTI) to advance discovery and to deliver science information, is a ...

    6. OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...

      Office of Scientific and Technical Information (OSTI)

      EDUconnections Archive From 2009 to 2014, EDUconnections spotlighted higher education institutions committed to supporting and advancing the U.S. Department of Energy's scientific ...

    7. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      to increase awareness of DOE's valuable scientific and technical information. Since 1947 OSTI's mission has been to advance science and sustain technological creativity by ...

    8. Slide05 | OSTI, US Dept of Energy, Office of Scientific and Technical...

      Office of Scientific and Technical Information (OSTI)

      Office of Scientific and Technical Information (OSTI) Mission Advance science and sustain technological creativity by making R&D findings available and useful to Department of ...

    9. OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...

      Office of Scientific and Technical Information (OSTI)

      Advanced Research Projects Agency-Energy Topic Refreshed National Library of Energy(Beta) Takes on Expanded Role in Disseminating Department of Energy Scientific and Technical ...

    10. OSTI.gov Newsletter | OSTI, US Dept of Energy, Office of Scientific...

      Office of Scientific and Technical Information (OSTI)

      managed as part of the DOE mission to enable the advancement of scientific knowledge and technological innovation." As provided in the DOE directive, OSTI spearheads the...

    11. OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...

      Office of Scientific and Technical Information (OSTI)

      promises about future advances, and there often are long delays in the applications that arise from basic research. Related Topics: basic research, doe r&d, scientific knowledge

    12. NREL: Photovoltaics Research - Testing and Analysis to Advance R&D

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

      Testing and Analysis to Advance R&D Get the Adobe Flash Player to see this video. Text Alternative NREL has capabilities and experts in measurements, characterization, reliability, engineering, scientific computing, and theory to support photovoltaic (PV) research and development (R&D) across a range of conversion technologies and scales. Conversion technologies include the primary areas of silicon, polycrystalline thin films (cadmium telluride [CdTe], copper indium gallium diselenide

    13. 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 ...

    14. NERSC Oakland Scientific Facility

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

      2012 February 1-2, 2012 NERSC Oakland Scientific Facility Debugging with DDT Woo-Sun Yang NERSC User Services Group Why a Debugger? * It makes it easy to find a bug in your...

    15. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

    16. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

    17. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

    18. 'Most Influential Scientific Minds'

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

      Three Los Alamos scientists named 'Most Influential Scientific Minds' July 22, 2014 Aiken, Korber and Perelson spotlighted in Thomson Reuters report LOS ALAMOS, N.M., July 22, 2014-Los Alamos National Laboratory scientists Allison Aiken, Bette Korber and Alan Perelson have been named to Thomson Reuters list of "The World's Most Influential Scientific Minds." "To have three of our premier scientists recognized on this list is a great honor and attests to the intellectual vitality

    19. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

    20. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

    1. Scientific Advisory Committee

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

      Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

    2. Final Scientific Technical Report...

      Office of Scientific and Technical Information (OSTI)

      ... on BAS, only 10% of commercial buildings utilize advanced monitoring and controls 1. ... potential that automation and monitoring systems can offer, there is a need for ...

    3. Knowledge-Based Parallel Performance Technology for Scientific Application Competitiveness Final Report

      SciTech Connect (OSTI)

      Malony, Allen D; Shende, Sameer

      2011-08-15

      The primary goal of the University of Oregon's DOE "œcompetitiveness" project was to create performance technology that embodies and supports knowledge of performance data, analysis, and diagnosis in parallel performance problem solving. The target of our development activities was the TAU Performance System and the technology accomplishments reported in this and prior reports have all been incorporated in the TAU open software distribution. In addition, the project has been committed to maintaining strong interactions with the DOE SciDAC Performance Engineering Research Institute (PERI) and Center for Technology for Advanced Scientific Component Software (TASCS). This collaboration has proved valuable for translation of our knowledge-based performance techniques to parallel application development and performance engineering practice. Our outreach has also extended to the DOE Advanced CompuTational Software (ACTS) collection and project. Throughout the project we have participated in the PERI and TASCS meetings, as well as the ACTS annual workshops.

    4. Information Science, Computing, Applied Math

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

      Information Science, Computing, Applied Math Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Computer, Computational, and Statistical Sciences (CCS)» High Performance Computing (HPC)» Extreme Scale Computing, Co-design» supercomputing into the future Overview Los Alamos Asteroid Killer

    5. Exploring Two Approaches for an End-to-End Scientific Analysis Workflow

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

      Dodelson, Scott; Kent, Steve; Kowalkowski, Jim; Paterno, Marc; Sehrish, Saba

      2015-01-01

      The advance of the scientific discovery process is accomplished by the integration of independently-developed programs run on disparate computing facilities into coherent workflows usable by scientists who are not experts in computing. For such advancement, we need a system which scientists can use to formulate analysis workflows, to integrate new components to these workflows, and to execute different components on resources that are best suited to run those components. In addition, we need to monitor the status of the workflow as components get scheduled and executed, and to access the intermediate and final output for visual exploration and analysis. Finally,more » it is important for scientists to be able to share their workflows with collaborators. Moreover we have explored two approaches for such an analysis framework for the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC), the first one is based on the use and extension of Galaxy, a web-based portal for biomedical research, and the second one is based on a programming language, Python. In our paper, we present a brief description of the two approaches, describe the kinds of extensions to the Galaxy system we have found necessary in order to support the wide variety of scientific analysis in the cosmology community, and discuss how similar efforts might be of benefit to the HEP community.« less

    6. Exploring Two Approaches for an End-to-End Scientific Analysis Workflow

      SciTech Connect (OSTI)

      Dodelson, Scott; Kent, Steve; Kowalkowski, Jim; Paterno, Marc; Sehrish, Saba

      2015-01-01

      The advance of the scientific discovery process is accomplished by the integration of independently-developed programs run on disparate computing facilities into coherent workflows usable by scientists who are not experts in computing. For such advancement, we need a system which scientists can use to formulate analysis workflows, to integrate new components to these workflows, and to execute different components on resources that are best suited to run those components. In addition, we need to monitor the status of the workflow as components get scheduled and executed, and to access the intermediate and final output for visual exploration and analysis. Finally, it is important for scientists to be able to share their workflows with collaborators. Moreover we have explored two approaches for such an analysis framework for the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC), the first one is based on the use and extension of Galaxy, a web-based portal for biomedical research, and the second one is based on a programming language, Python. In our paper, we present a brief description of the two approaches, describe the kinds of extensions to the Galaxy system we have found necessary in order to support the wide variety of scientific analysis in the cosmology community, and discuss how similar efforts might be of benefit to the HEP community.

    7. Energy Innovation Hubs: A Home for Scientific Collaboration

      ScienceCinema (OSTI)

      Chu, Steven

      2013-05-29

      Secretary Chu will host a live, streaming Q&A session with the directors of the Energy Innovation Hubs on Tuesday, March 6, at 2:15 p.m. EST. The directors will be available for questions regarding their teams' work and the future of American energy. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@hq.doe.gov, prior or during the live event. Dr. Hank Foley is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Consortium for Advanced Simulation of Light Water Reactors, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis, which focuses on how to produce fuels from sunlight, water, and carbon dioxide. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@energy.gov, prior or during the live event. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each Hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy

    8. 2014 Call for NERSC Initiative for Scientific Exploration (NISE) Program

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

      Due December 8 the NERSC Initiative for Scientific Exploration (NISE) program 2014 Call for NERSC Initiative for Scientific Exploration (NISE) Program Due December 8 November 18, 2013 by Francesca Verdier Users may now submit requests for the 2014 NERSC Initiative for Scientific Exploration (NISE) program. The deadline to apply is Sunday December 8, 11:59 PM Pacific Time. The goals for this program in 2014 are: HPC and data analysis: Projects that leverage extreme scale parallel computing to

    9. Scientific/Techical Report

      SciTech Connect (OSTI)

      Dr. Chris Leighton, Neutron Scattering Society of American; Mr. J. Ardie Dillen, MRS Director of Finance and Administration

      2012-11-07

      The ACNS provides a focal point for the North American neutron user community, strengthening ties within this diverse group, and promoting neutron research in related disciplines. The conference thus serves a dual role as both a national user meeting and a scientific meeting. As a venue for scientific exchange, the ACNS showcases recent results and provides a forum for scientific discussion of neutron-enabled research in fields as diverse as hard and soft condensed matter, liquids, biology, magnetism, engineering materials, chemical spectroscopy, crystal structure, elementary excitations, fundamental physics, and development of neutron instrumentation. This is achieved through a combination of invited oral presentations, contributed oral presentations, and poster sessions. Adequate opportunity for spontaneous discussion and collaboration is also built into the ACNS program in order to foster free exchange of new scientific ideas and the potential for use of powerful neutron scattering methods beyond the current realms of application. The sixth American Conference on Neutron Scattering (ACNS 2012) provided essential information on the breadth and depth of current neutron-related research worldwide. A strong program of plenary, invited and contributed talks showcased recent scientific results in neutron science in a wide range of fields, including soft and hard condensed matter, biology, chemistry, energy and engineering applications, and neutron physics.

    10. It's In The Hopper: 4,000 Scientific Users Now Working With Supercomputer

      Broader source: Energy.gov [DOE]

      The National Energy Research Scientific Computing Center (NERSC) in Berkeley, California, marked a major milestone when they recently put their supercomputer, “Hopper,” into the hands of its 4,000 scientific users.

    11. 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.

    12. Large Scale Computing and Storage Requirements for Basic Energy Sciences Research

      SciTech Connect (OSTI)

      Gerber, Richard; Wasserman, Harvey

      2011-03-31

      The National Energy Research Scientific Computing Center (NERSC) is the leading scientific computing facility supporting research within the Department of Energy's Office of Science. NERSC provides high-performance computing (HPC) resources to approximately 4,000 researchers working on about 400 projects. In addition to hosting large-scale computing facilities, NERSC provides the support and expertise scientists need to effectively and efficiently use HPC systems. In February 2010, NERSC, DOE's Office of Advanced Scientific Computing Research (ASCR) and DOE's Office of Basic Energy Sciences (BES) held a workshop to characterize HPC requirements for BES research through 2013. The workshop was part of NERSC's legacy of anticipating users future needs and deploying the necessary resources to meet these demands. Workshop participants reached a consensus on several key findings, in addition to achieving the workshop's goal of collecting and characterizing computing requirements. The key requirements for scientists conducting research in BES are: (1) Larger allocations of computational resources; (2) Continued support for standard application software packages; (3) Adequate job turnaround time and throughput; and (4) Guidance and support for using future computer architectures. This report expands upon these key points and presents others. Several 'case studies' are included as significant representative samples of the needs of science teams within BES. Research teams scientific goals, computational methods of solution, current and 2013 computing requirements, and special software and support needs are summarized in these case studies. Also included are researchers strategies for computing in the highly parallel, 'multi-core' environment that is expected to dominate HPC architectures over the next few years. NERSC has strategic plans and initiatives already underway that address key workshop findings. This report includes a brief summary of those relevant to issues

    13. Advanced Electrolyte Model, ver. 2.0 (AEM-2.0) Next Generation Electrolyte Model, ver. 2.0 (NGEM-2.0) Computer model for characterizing, screening, and optimizing electrolyte systems

      Energy Science and Technology Software Center (OSTI)

      2015-08-04

      Electrolyte systems are common in advanced electrochemical devices and have numerous other industrial, scientific, and medical applications. For example, contemporary batteries are tasked with operating under increasing performance requirements. All battery operation is in some way tied to the electrolyte and how it interacts with various regions within the cell environment. Seeing the electrolyte plays a crucial role in battery performance and longevity, it is imperative that accurate, physics-based models be developed that will characterizemore » key electrolyte properties while keeping pace with the increasing complexity of these liquid systems. Advanced models are needed since laboratory measurements require significant resources to carry out for even a modest experimental The Advanced Electrolyte Model (AEM) developed at the INL is a proven capability designed to explore molecular-to-macroscale level aspects of electrolyte behavior, and can be used to drastically reduce the time required to characterize and optimize electrolytes. This technology earned an R&D 100 award in 2014. Although it is applied most frequently to lithium-ion and sodium-ion battery systems, it is general in its theory and can be used toward numerous other targets and intended applications. This capability is unique, powerful, relevant to present and future electrolyte development, and without peer. It redefines electrolyte modeling for highly-complex contemporary systems, wherein significant steps have been taken to capture the reality of electrolyte behavior in the electrochemical cell environment. This capability can have a very positive impact on accelerating domestic battery development to support aggressive vehicle and energy goals in the 21st century.« less

    14. Call for Proposals: NERSC Initiative for Scientific Exploration - deadline

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

      is January 25 NISE Call for Proposals: NERSC Initiative for Scientific Exploration - deadline is January 25 December 20, 2011 by Francesca Verdier NERSC allocates 10% of the total MPP hours on our computational systems through the NERSC Initiative for Scientific Exploration (NISE) program. This year we expect to allocate about 100 million hours to a few large projects. Users who wish to explore a new research area that requires a large amount of computational resources are encouraged to

    15. Berkeley Lab to Collaborate with Intel in Updating Scientific Applications

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

      for Manycore Architectures Berkeley Lab to Collaborate with Intel in Updating Scientific Applications for Manycore Architectures Berkeley Lab to Collaborate with Intel in Updating Scientific Applications for Manycore Architectures Codes for Studying Climate Change, Chemistry focus of Lab's Intel Parallel Computing Center June 18, 2014 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 Lawrence Berkeley National Laboratory has been named an Intel Parallel Computing Center (IPCC), a

    16. Scientific Visualization: The Modern Oscilloscope for "Seeing the Unseeable" (LBNL Summer Lecture Series)

      ScienceCinema (OSTI)

      Bethel, E Wes

      2011-04-28

      Summer Lecture Series 2008: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in both experimental and computational sciences. Wes Bethel, who heads the Scientific Visualization Group in the Computational Research Division, presents an overview of visualization and computer graphics, current research challenges, and future directions for the field.

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

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

      Virtual Environment for Scientific Collaboration Posted: April 30, 2013 The Consortium for Advanced Simulation of Light Water Reactors, the Department of Energy's first...

    18. PNNL: Staff Search - Fundamental & Computational Sciences Directorate

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

      Divisions Advanced Computing, Mathematics & Data Atmospheric Sciences & Global Change Biological Sciences Physical Sciences User Facilities Environmental Molecular Sciences ...

    19. Awards | U.S. DOE Office of Science (SC)

      Office of Science (SC) Website

      Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced...

    20. 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

    1. FY 2012 Budget Request Advanced Research Projects Agency - Energy

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

      ... Advanced Modeling Grid Research - Focuses on research to develop the model-based analytical tools, and computational and mathematical advancements that are the foundation for the ...

    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 Imaging

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

      Design » Design for Efficiency » Advanced House Framing Advanced House Framing Two-story home using advanced framing techniques. Two-story home using advanced framing techniques. Advanced house framing, sometimes called optimum value engineering (OVE), refers to framing techniques designed to reduce the amount of lumber used and waste generated in the construction of a wood-framed house. These techniques boost energy efficiency by replacing lumber with insulation material while maintaining the

    4. Slide03 | OSTI, US Dept of Energy, Office of Scientific and Technical...

      Office of Scientific and Technical Information (OSTI)

      Journal articles Technical reports Conference papers ThesesDissertations Scientific and technical computer software Datasets Patents Workshop reports Videos Accepted manuscripts

    5. Computation Directorate and Science& Technology Review Computational Science and Research Featured in 2002

      SciTech Connect (OSTI)

      Alchorn, A L

      2003-04-04

      Thank you for your interest in the activities of the Lawrence Livermore National Laboratory Computation Directorate. This collection of articles from the Laboratory's Science & Technology Review highlights the most significant computational projects, achievements, and contributions during 2002. In 2002, LLNL marked the 50th anniversary of its founding. Scientific advancement in support of our national security mission has always been the core of the Laboratory. So that researchers could better under and predict complex physical phenomena, the Laboratory has pushed the limits of the largest, fastest, most powerful computers in the world. In the late 1950's, Edward Teller--one of the LLNL founders--proposed that the Laboratory commission a Livermore Advanced Research Computer (LARC) built to Livermore's specifications. He tells the story of being in Washington, DC, when John Von Neumann asked to talk about the LARC. He thought Teller wanted too much memory in the machine. (The specifications called for 20-30,000 words.) Teller was too smart to argue with him. Later Teller invited Von Neumann to the Laboratory and showed him one of the design codes being prepared for the LARC. He asked Von Neumann for suggestions on fitting the code into 10,000 words of memory, and flattered him about ''Labbies'' not being smart enough to figure it out. Von Neumann dropped his objections, and the LARC arrived with 30,000 words of memory. Memory, and how close memory is to the processor, is still of interest to us today. Livermore's first supercomputer was the Remington-Rand Univac-1. It had 5600 vacuum tubes and was 2 meters wide by 4 meters long. This machine was commonly referred to as a 1 KFlop machine [E+3]. Skip ahead 50 years. The ASCI White machine at the Laboratory today, produced by IBM, is rated at a peak performance of 12.3 TFlops or E+13. We've improved computer processing power by 10 orders of magnitude in 50 years, and I do not believe there's any reason to think we won

    6. SIAM Conference on Computational Science and Engineering

      SciTech Connect (OSTI)

      2003-01-01

      The Second SIAM Conference on Computational Science and Engineering was held in San Diego from February 10-12, 2003. Total conference attendance was 553. This is a 23% increase in attendance over the first conference. The focus of this conference was to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists. Computational Science & Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third mode of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. CS&E is, by nature, interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful numerical algorithms and sophisticated computer science techniques. From an applied mathematics perspective, much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The themes of the 2003 conference included, but were not limited to: Advanced Discretization Methods; Computational Biology and Bioinformatics; Computational Chemistry and Chemical Engineering; Computational Earth and Atmospheric Sciences; Computational Electromagnetics; Computational Fluid Dynamics; Computational Medicine and Bioengineering; Computational Physics and Astrophysics; Computational Solid Mechanics and Materials; CS

    7. REVIEW OF SCIENTIFIC INSTRUMENTS

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

      REVIEW OF SCIENTIFIC INSTRUMENTS 81, 123503 (2010) The rotating wall machine: A device to study ideal and resistive magnetohydrodynamic stability under variable boundary conditions C. Paz-Soldan, W. F. Bergerson, M. I. Brookhart, D. A. Hannum, R. Kendrick, G. Fiksel, and C. B. Forest Department of Physics, University of Wisconsin, 1150 University Ave, Madison, Wisconsin 53706, USA (Received 31 July 2010; accepted 4 October 2010; published online 7 December 2010) The rotating wall machine, a

    8. Accelerating Scientific Workflows

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

      with the Burst Buffer: Accelerating Scientific Workflows in Chombo-Crunch Andrey Ovsyannikov* (NERSC, LBL) with David Trebotich, Brian Van Straalen (CRD, LBL) August 22 nd , 2016 *aovsyannikov@lbl.gov Carbon sequestration Main goal is to enable accurate prediction of the fate of geologically stored CO 2 Acetate solution Pore scale 100 µm Pore scale Field scale Flow and transport typically simulated at field scale CO 2 trapping mechanisms governed by emergent processes at pore (micro) scale è

    9. Advanced Light Source Activity Report 2000

      SciTech Connect (OSTI)

      Greiner, A.; Moxon, L.; Robinson, A.; Tamura, L.

      2001-04-01

      This is an annual report, detailing activities at the Advanced Light Source for the year 2000. It includes highlights of scientific research by users of the facility as well as information about the development of the facility itself.

    10. NREL'S Zunger Receives Top Scientific Honors

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

      Top Scientific Honors For more information contact: Gary Schmitz, 303-275-4050 email: Gary Schmitz Golden, Colo., Nov. 29, 2000 - Alex Zunger, a physicist and research fellow at the U.S. Department of Energy's National Renewable Energy Laboratory, has been named the 2001 recipient of the prestigious Rahman Award by the American Physical Society (APS). The award from the APS is bestowed once annually to an individual for "outstanding achievement in computational physics research."

    11. DOE's National Laboratory Directors Highlight Scientific Merits of GNEP |

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

      Department of Energy National Laboratory Directors Highlight Scientific Merits of GNEP DOE's National Laboratory Directors Highlight Scientific Merits of GNEP May 2, 2006 - 10:29am Addthis WASHINGTON , DC - Directors of nine of the Department of Energy's (DOE) national laboratories today announced their support for the Global Nuclear Energy Partnership (GNEP) and discussed the collaboration among the labs in carrying out the partnership. GNEP, part of President Bush's Advanced Energy

    12. 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.

    13. Scientific Exchange Program deadline | Photosynthetic Antenna...

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

      Scientific Exchange Program deadline Scientific Exchange Program deadline Applications due February...

    14. Computational Combustion

      SciTech Connect (OSTI)

      Westbrook, C K; Mizobuchi, Y; Poinsot, T J; Smith, P J; Warnatz, J

      2004-08-26

      Progress in the field of computational combustion over the past 50 years is reviewed. Particular attention is given to those classes of models that are common to most system modeling efforts, including fluid dynamics, chemical kinetics, liquid sprays, and turbulent flame models. The developments in combustion modeling are placed into the time-dependent context of the accompanying exponential growth in computer capabilities and Moore's Law. Superimposed on this steady growth, the occasional sudden advances in modeling capabilities are identified and their impacts are discussed. Integration of submodels into system models for spark ignition, diesel and homogeneous charge, compression ignition engines, surface and catalytic combustion, pulse combustion, and detonations are described. Finally, the current state of combustion modeling is illustrated by descriptions of a very large jet lifted 3D turbulent hydrogen flame with direct numerical simulation and 3D large eddy simulations of practical gas burner combustion devices.

    15. Final Report: Super Instruction Architecture for Scalable Parallel Computations

      SciTech Connect (OSTI)

      Sanders, Beverly Ann; Bartlett, Rodney; Deumens, Erik

      2013-12-23

      The most advanced methods for reliable and accurate computation of the electronic structure of molecular and nano systems are the coupled-cluster techniques. These high-accuracy methods help us to understand, for example, how biological enzymes operate and contribute to the design of new organic explosives. The ACES III software provides a modern, high-performance implementation of these methods optimized for high performance parallel computer systems, ranging from small clusters typical in individual research groups, through larger clusters available in campus and regional computer centers, all the way to high-end petascale systems at national labs, including exploiting GPUs if available. This project enhanced the ACESIII software package and used it to study interesting scientific problems.

    16. BROOKHAVEN NATIONAL LABORATORYS CAPABILITIES FOR ADVANCED ANALYSES OF CYBER THREATS

      SciTech Connect (OSTI)

      DePhillips M. P.

      2014-06-06

      BNL has several ongoing, mature, and successful programs and areas of core scientific expertise that readily could be modified to address problems facing national security and efforts by the IC related to securing our nation’s computer networks. In supporting these programs, BNL houses an expansive, scalable infrastructure built exclusively for transporting, storing, and analyzing large disparate data-sets. Our ongoing research projects on various infrastructural issues in computer science undoubtedly would be relevant to national security. Furthermore, BNL frequently partners with researchers in academia and industry worldwide to foster unique and innovative ideas for expanding research opportunities and extending our insights. Because the basic science conducted at BNL is unique, such projects have led to advanced techniques, unlike any others, to support our mission of discovery. Many of them are modular techniques, thus making them ideal for abstraction and retrofitting to other uses including those facing national security, specifically the safety of the nation’s cyber space.

    17. 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...

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

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

      The Advanced Technology Development and Mitigation (ATDM) subprogram includes laboratory code and computer engineering and science projects that pursue long-term simulation and ...

    19. Advanced Test Reactor National Scientific User Facility: Addressing...

      Office of Scientific and Technical Information (OSTI)

      capability focused on resolving nuclear material performance issues through analysis on ... chemistry water loop for the ATR center flux trap, and a dedicated facility intended to ...

    20. DOE Announces First Awards in Scientific Discovery through Advanced

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

      Energy Technologies | Department of Energy 16 Million for 54 Projects to Help Commercialize Promising Energy Technologies DOE Announces $16 Million for 54 Projects to Help Commercialize Promising Energy Technologies June 21, 2016 - 2:52pm Addthis News Media Contact 202-586-4940 DOENews@hq.doe.gov WASHINGTON -The U.S. Department of Energy (DOE) today announced nearly $16 million in funding to help businesses move promising energy technologies from DOE's National Laboratories to the

    1. Workshop on Scientific Directions at the Advanced Light Source...

      Office of Scientific and Technical Information (OSTI)

      Authors: Plummer, Ward E. ; Awschalom, David ; Russell, T. ; Cohen, M. ; Somorjai, G. ; Brown, Jr., Gordon E. ; Fleming, Graham ; Greene, C. ; Houston, Paul L. ; Smith, Neville V. ...

    2. #WomenInSTEM: A Physicist Focuses on Scientific Advancement

      ScienceCinema (OSTI)

      Capece, Angela

      2014-07-21

      Dr. Capece first became interested in science after learning about NASA's Voyager missions at an early age. In this video, Dr. Capece provides advice for women and girls interested in pursuing careers in STEM fields, like focusing on physics, biology and chemistry at the high school level. This video is part of the Energy Department's #WomenInSTEM video series. At the Energy Department, we're committed to supporting a diverse talent pool of STEM innovators ready to address the challenges and opportunities of our growing clean energy economy.

    3. DOE Announces First Awards in Scientific Discovery through Advanced...

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

      ... Four projects in high energy and nuclear physics will significantly extend our exploration of the fundamental processes of nature. The projects include the search for the explosion ...

    4. #WomenInSTEM: A Physicist Focuses on Scientific Advancement

      SciTech Connect (OSTI)

      Capece, Angela

      2014-07-17

      Dr. Capece first became interested in science after learning about NASA's Voyager missions at an early age. In this video, Dr. Capece provides advice for women and girls interested in pursuing careers in STEM fields, like focusing on physics, biology and chemistry at the high school level. This video is part of the Energy Department's #WomenInSTEM video series. At the Energy Department, we're committed to supporting a diverse talent pool of STEM innovators ready to address the challenges and opportunities of our growing clean energy economy.

    5. Center for Technology for Advanced Scientific Component Software (TASCS)

      SciTech Connect (OSTI)

      Dr. Mathew Sottile

      2010-06-30

      The UO portion of the larger TASCS project was focused on the usability subproject identified in the original project proposal. The key usability issue that we tacked was that of supporting legacy code developers in migrating to a component-oriented design pattern and development model with minimal manual labor. It was observed during the lifetime of the TASCS (and previous CCA efforts) that more often than not, users would arrive with existing code that was developed previous to their exposure to component design methods. As such, they were faced with the task of both learning the CCA toolchain and at the same time, manually deconstructing and reassembling their existing code to fit the design constraints imposed by components. This was a common complaint (and occasional reason for a user to abandon components altogether), so our task was to remove this manual labor as much as possible to lessen the burden placed on the end-user when adopting components for existing codes. To accomplish this, we created a source-based static analysis tool that used code annotations to drive code generation and transformation operations. The use of code annotations is due to one of the key technical challenges facing this work | programming languages are limited in the degree to which application-specific semantics can be represented in code. For example, data types are often ambiguous. The C pointer is the most common example cited in practice. Given a pointer to a location in memory, should it be interpreted as a singleton or an array. If it is to be interpreted as an array, how many dimensions does the array have? What are their extents? The annotation language that we designed and implemented addresses this ambiguity issue by allowing users to decorate their code in places where ambiguity exists in order to guide tools to interpret what the programmer really intends.

    6. Feedback-based, muLti-dimensional Interface as a General Human-Computer Tech.

      Energy Science and Technology Software Center (OSTI)

      2002-05-13

      FLIGHT is a 3D human-computer interface and application development software that can be used by both end users and programmers. It is based on advanced feedback and a multi-dimensional nature that more closely resembles real life interactions. The software uses a craft metaphor and allows multimodal feedback for advanced tools and navigation techniques. Overall, FLIGHT is a software that is based on the principle that as the human-computer interface is strengthened through the use ofmore » more intuitive inputs and more effective feedback, the computer itself will be for more valuable. FLIGHT has been used to visualize scientific data sets in 3D graphics at Sandia National Laboratories.« less

    7. Extreme Scale Computing to Secure the Nation

      SciTech Connect (OSTI)

      Brown, D L; McGraw, J R; Johnson, J R; Frincke, D

      2009-11-10

      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

    8. Applied Computer Science

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

      7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader Linn Collins Email Deputy Group Leader (Acting) Bryan Lally Email Climate modeling visualization 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 blue color scale. These colors were

    9. Computational Modeling | Bioenergy | NREL

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

      Computational Modeling NREL uses computational modeling to increase the efficiency of biomass conversion by rational design using multiscale modeling, applying theoretical approaches, and testing scientific hypotheses. model of enzymes wrapping on cellulose; colorful circular structures entwined through blue strands Cellulosomes are complexes of protein scaffolds and enzymes that are highly effective in decomposing biomass. This is a snapshot of a coarse-grain model of complex cellulosome

    10. Final Scientific EFNUDAT Workshop

      ScienceCinema (OSTI)

      None

      2011-10-06

      The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilities  International Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden) Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis Vlachoudis Workshop Assistant: Géraldine Jean

    11. Final Scientific EFNUDAT Workshop

      ScienceCinema (OSTI)

      None

      2011-10-06

      The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilitiesInternational Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden)Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis VlachoudisWorkshop Assistant: Graldine Jean

    12. 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

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

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

      plant power uprates, life extension, and higher burnup fuels Provide the primary bridge between the scientific and computational capabilities developed by CASL and external...

    14. DOE Awards Over a Billion Supercomputing Hours to Address Scientific

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

      Challenges | Department of Energy Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program.

    15. Call for Nominations for 2016 NERSC Scientific Achievement Awards

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

      Call for Nominations (2016) Call for Nominations for 2016 NERSC Scientific Achievement Awards Nominations are open for the 2016 NERSC Award for Innovative Use of High Performance Computing and the 2016 NERSC Award for High Impact Scientific Achievement. NERSC Principal Investigators, Project Managers, PI Proxies, and DOE Program Managers may nominate any NERSC user or collaboratory group. The deadline for nominations is Friday, March 4, 2016. Winners will be announced at the NERSC Users Group

    16. Guide to Scientific Management | Argonne National Laboratory

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

      Guide to Scientific Management A Practical Guide to Scientifıc Management for Postdocs and New Faculty. PDF icon Guide to Scientific Management second edition.pdf

    17. CNM Scientific Contact List | Argonne National Laboratory

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

      CNM Scientific Contact List A list of scientific contacts for the Center for Nanoscale Materials PDF icon CNM Scientific Contact sheet 716

    18. 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

    19. Scientific Challenges for Understanding the Quantum Universe

      SciTech Connect (OSTI)

      Khaleel, Mohammad A.

      2009-10-16

      A workshop titled "Scientific Challenges for Understanding the Quantum Universe" was held December 9-11, 2008, at the Kavli Institute for Particle Astrophysics and Cosmology at the Stanford Linear Accelerator Center-National Accelerator Laboratory. The primary purpose of the meeting was to examine how computing at the extreme scale can contribute to meeting forefront scientific challenges in particle physics, particle astrophysics and cosmology. The workshop was organized around five research areas with associated panels. Three of these, "High Energy Theoretical Physics," "Accelerator Simulation," and "Experimental Particle Physics," addressed research of the Office of High Energy Physics’ Energy and Intensity Frontiers, while the"Cosmology and Astrophysics Simulation" and "Astrophysics Data Handling, Archiving, and Mining" panels were associated with the Cosmic Frontier.

    20. Advanced Combustion

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

      Advanced Combustion Background Conventional coal-fired power plants utilize steam turbines to ... development of large-scale Ni-based superalloy castings for power plant applications. ...

    1. Computed Tomography–Guided Interstitial High-Dose-Rate Brachytherapy in Combination With Regional Positive Lymph Node Intensity-Modulated Radiation Therapy in Locally Advanced Peripheral Non–Small Cell Lung Cancer: A Phase 1 Clinical Trial

      SciTech Connect (OSTI)

      Xiang, Li; Zhang, Jian-wen; Lin, Sheng; Luo, Hui-Qun; Wen, Qing-Lian; He, Li-Jia; Shang, Chang-Ling; Ren, Pei-Rong; Yang, Hong-Ru; Pang, Hao-Wen; Yang, Bo; He, Huai-Lin; Chen, Yue; Wu, Jing-Bo

      2015-08-01

      Purpose: To assess the technical safety, adverse events, and efficacy of computed tomography (CT)-guided interstitial high-dose-rate (HDR) brachytherapy in combination with regional positive lymph node intensity modulated radiation therapy in patients with locally advanced peripheral non–small cell lung cancer (NSCLC). Methods and Materials: Twenty-six patients with histologically confirmed NSCLC were enrolled in a prospective, officially approved phase 1 trial. Primary tumors were treated with HDR brachytherapy. A single 30-Gy dose was delivered to the 90% isodose line of the gross lung tumor volume. A total dose of at least 70 Gy was administered to the 95% isodose line of the planning target volume of malignant lymph nodes using 6-MV X-rays. The patients received concurrent or sequential chemotherapy. We assessed treatment efficacy, adverse events, and radiation toxicity. Results: The median follow-up time was 28 months (range, 7-44 months). There were 3 cases of mild pneumothorax but no cases of hemothorax, dyspnea, or pyothorax after the procedure. Grade 3 or 4 acute hematologic toxicity was observed in 5 patients. During follow-up, mild fibrosis around the puncture point was observed on the CT scans of 2 patients, but both patients were asymptomatic. The overall response rates (complete and partial) for the primary mass and positive lymph nodes were 100% and 92.3%, respectively. The 1-year and 2-year overall survival (OS) rates were 90.9% and 67%, respectively, with a median OS of 22.5 months. Conclusion: Our findings suggest that HDR brachytherapy is safe and feasible for peripheral locally advanced NSCLC, justifying a phase 2 clinical trial.

    2. Fundamental Scientific Problems in Magnetic Recording

      SciTech Connect (OSTI)

      Schulthess, T.C.; Miller, M.K.

      2007-06-27

      Magnetic data storage technology is presently leading the high tech industry in advancing device integration--doubling the storage density every 12 months. To continue these advancements and to achieve terra bit per inch squared recording densities, new approaches to store and access data will be needed in about 3-5 years. In this project, collaboration between Oak Ridge National Laboratory (ORNL), Center for Materials for Information Technology (MINT) at University of Alabama (UA), Imago Scientific Instruments, and Seagate Technologies, was undertaken to address the fundamental scientific problems confronted by the industry in meeting the upcoming challenges. The areas that were the focus of this study were to: (1) develop atom probe tomography for atomic scale imaging of magnetic heterostructures used in magnetic data storage technology; (2) develop a first principles based tools for the study of exchange bias aimed at finding new anti-ferromagnetic materials to reduce the thickness of the pinning layer in the read head; (3) develop high moment magnetic materials and tools to study magnetic switching in nanostructures aimed at developing improved writers of high anisotropy magnetic storage media.

    3. Computer, Computational, and Statistical Sciences

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

      CCS Computer, Computational, and Statistical Sciences Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central ...

    4. Acquisition of Scientific Equipment

      SciTech Connect (OSTI)

      Noland, Lynn

      2014-05-16

      Whitworth University constructed a 63,00 sq. ft. biology and chemistry building which opened in the Fall of 2011. This project provided for new state-of-the-art science instrumentation enabling Whitworth students to develop skills and knowledge that are directly transferable to practical applications thus enhancing Whitworth student's ability to compete and perform in the scientific workforce. Additionally, STEM faculty undertake outreach programs in the area schools, bringing students to our campus to engage in activities with our science students. The ability to work with insturmentation that is current helps to make science exciting for middle school and high school students and gets them thinking about careers in science. 14 items were purchased following the university's purchasing policy, that benefit instruction and research in the departments of biology, chemistry, and health sciences. They are: Cadaver Dissection Tables with Exhaust Chamber and accessories, Research Microscope with DF DIC, Phase and Fluorescence illumination with DP72 Camera, Microscope with Fluorescence, Microcomputer controlled ultracentrifuge, Ultracentrifuge rotor, Variable Temperature steam pressure sterilizer, Alliance APLC System, DNA Speedvac, Gel Cocumentation System, BioPac MP150, Glovebox personal workstation,Lyophilizer, Nano Drop 2000/2000c Spectrophotometer, C02 Incubator.

    5. Computing and Computational Sciences Directorate - Information Technology

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

      Oak Ridge Climate Change Science Institute Jim Hack Oak Ridge National Laboratory (ORNL) has formed the Oak Ridge Climate Change Science Institute (ORCCSI) that will develop and execute programs for the multi-agency, multi-disciplinary climate change research partnerships at ORNL. Led by Director Jim Hack and Deputy Director Dave Bader, the Institute will integrate scientific projects in modeling, observations, and experimentation with ORNL's powerful computational and informatics capabilities

    6. Scientific and Technical Information Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2003-10-14

      The Order establishes requirements and responsibilities for managing DOE's scientific and technical information. Cancels DOE O 241.1. Canceled by DOE O 241.1B.

    7. ALS Scientific Advisory Committee Charter

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

      would create or appear to create a conflict of interest. *Formerly known as Program Advisory Committee (PAC) (rev. 1 - February 15, 1995) Scientific Advisory Committee...

    8. Large Scale Computing and Storage Requirements for Biological and Environmental Research

      SciTech Connect (OSTI)

      DOE Office of Science, Biological and Environmental Research Program Office ,

      2009-09-30

      In May 2009, NERSC, DOE's Office of Advanced Scientific Computing Research (ASCR), and DOE's Office of Biological and Environmental Research (BER) held a workshop to characterize HPC requirements for BER-funded research over the subsequent three to five years. The workshop revealed several key points, in addition to achieving its goal of collecting and characterizing computing requirements. Chief among them: scientific progress in BER-funded research is limited by current allocations of computational resources. Additionally, growth in mission-critical computing -- combined with new requirements for collaborative data manipulation and analysis -- will demand ever increasing computing, storage, network, visualization, reliability and service richness from NERSC. This report expands upon these key points and adds others. It also presents a number of"case studies" as significant representative samples of the needs of science teams within BER. Workshop participants were asked to codify their requirements in this"case study" format, summarizing their science goals, methods of solution, current and 3-5 year computing requirements, and special software and support needs. Participants were also asked to describe their strategy for computing in the highly parallel,"multi-core" environment that is expected to dominate HPC architectures over the next few years.

    9. Scientific Data Management (SDM) Center for Enabling Technologies. Final Report, 2007-2012

      SciTech Connect (OSTI)

      Ludascher, Bertram; Altintas, Ilkay

      2013-09-06

      Our contributions to advancing the State of the Art in scientific workflows have focused on the following areas: Workflow development; Generic workflow components and templates; Provenance collection and analysis; and, Workflow reliability and fault tolerance.

    10. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      ... applauds Jack and the many other "new" scientists like him as they embark on their scientific careers and wishes them success as they strive to advance science and technology. ...

    11. Large Scale Computing and Storage Requirements for High Energy Physics

      SciTech Connect (OSTI)

      Gerber, Richard A.; Wasserman, Harvey

      2010-11-24

      The National Energy Research Scientific Computing Center (NERSC) is the leading scientific computing facility for the Department of Energy's Office of Science, providing high-performance computing (HPC) resources to more than 3,000 researchers working on about 400 projects. NERSC provides large-scale computing resources and, crucially, the support and expertise needed for scientists to make effective use of them. In November 2009, NERSC, DOE's Office of Advanced Scientific Computing Research (ASCR), and DOE's Office of High Energy Physics (HEP) held a workshop to characterize the HPC resources needed at NERSC to support HEP research through the next three to five years. The effort is part of NERSC's legacy of anticipating users needs and deploying resources to meet those demands. The workshop revealed several key points, in addition to achieving its goal of collecting and characterizing computing requirements. The chief findings: (1) Science teams need access to a significant increase in computational resources to meet their research goals; (2) Research teams need to be able to read, write, transfer, store online, archive, analyze, and share huge volumes of data; (3) Science teams need guidance and support to implement their codes on future architectures; and (4) Projects need predictable, rapid turnaround of their computational jobs to meet mission-critical time constraints. This report expands upon these key points and includes others. It also presents a number of case studies as representative of the research conducted within HEP. Workshop participants were asked to codify their requirements in this case study format, summarizing their science goals, methods of solution, current and three-to-five year computing requirements, and software and support needs. Participants were also asked to describe their strategy for computing in the highly parallel, multi-core environment that is expected to dominate HPC architectures over the next few years. The report includes

    12. Introduction to computers: Reference guide

      SciTech Connect (OSTI)

      Ligon, F.V.

      1995-04-01

      The ``Introduction to Computers`` program establishes formal partnerships with local school districts and community-based organizations, introduces computer literacy to precollege students and their parents, and encourages students to pursue Scientific, Mathematical, Engineering, and Technical careers (SET). Hands-on assignments are given in each class, reinforcing the lesson taught. In addition, the program is designed to broaden the knowledge base of teachers in scientific/technical concepts, and Brookhaven National Laboratory continues to act as a liaison, offering educational outreach to diverse community organizations and groups. This manual contains the teacher`s lesson plans and the student documentation to this introduction to computer course.

    13. Advanced Materials Development through Computational Design

      Broader source: Energy.gov [DOE]

      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).

    14. Advanced Materials Development through Computational Design ...

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

      Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER ... Office Merit Review 2015: High Temperature Materials for High Efficiency Engines ...

    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. Predictive Dynamic Security Assessment through Advanced Computing...

      Office of Scientific and Technical Information (OSTI)

      Resource Type: Conference Resource Relation: Conference: IEEE PES General Meeting, Conference & Exposition, July 27-31, 2014, National Harbor, MD, 1-5 Publisher: IEEE, Piscataway, ...

    17. 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...

    18. 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...

    19. Advanced Hydrogen Turbine Development

      SciTech Connect (OSTI)

      Marra, John

      2015-09-30

      Under the sponsorship of the U.S. Department of Energy (DOE) National Energy Technology Laboratories, Siemens has completed the Advanced Hydrogen Turbine Development Program to develop an advanced gas turbine for incorporation into future coal-based Integrated Gasification Combined Cycle (IGCC) plants. All the scheduled DOE Milestones were completed and significant technical progress was made in the development of new technologies and concepts. Advanced computer simulations and modeling, as well as subscale, full scale laboratory, rig and engine testing were utilized to evaluate and select concepts for further development. Program Requirements of: A 3 to 5 percentage point improvement in overall plant combined cycle efficiency when compared to the reference baseline plant; 20 to 30 percent reduction in overall plant capital cost when compared to the reference baseline plant; and NOx emissions of 2 PPM out of the stack. were all met. The program was completed on schedule and within the allotted budget

    20. Advanced Simulation Capability for

      Office of Environmental Management (EM)

      for Environmental Management (ASCEM) ASCEM is being developed to provide a tool and approach to facilitate robust and standardized development of perfor- mance and risk assessments for cleanup and closure activi- ties throughout the EM complex. The ASCEM team is composed of scientists from eight National Laboratories. This team is leveraging Department of Energy (DOE) investments in basic science and applied research including high performance computing codes developed through the Advanced

    1. DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading

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

      Scientific Research Projects | Department of Energy 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards

    2. 2011 Computation Directorate Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2012-04-11

      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

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

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

      "Many of the big data challenges that have long existed in the particle and high energy physics world are now percolating other areas of science. At NERSC we've seen an increase in ...

    4. Name Center for Applied Scientific Computing month day, 1998

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

      ... transfers to Archive over dual Jumbo Frame Gb- Enet from each Login node *25 MBs POSIX serial IO to any file system *Lustre file system with 4.48 GBs delivered parallel IO ...

    5. Final Scientific Report

      SciTech Connect (OSTI)

      Suzanne Lutwick; Helen Cunning

      2011-05-25

      Hackensack University Medical Center's major initiative to create a cleaner healthier and safer environment for patients, employees and the community served by the medical center is built on its commitment to protect the environment and conserve precious energy resources. Since 2004 the Medical Center launched a long term campaign to temper the negative environmental impact of proposed and existing new construction at the medical center and to improve campus wide overall energy efficiency. The plan was to begin by implementing a number of innovative and eco-friendly enhancements to the Gabrellian Women's and Children's Pavilion, in construction at the time, which would lead to Certification by the US Green Building Councils Leadership & Environmental Design (LEED) program. In addition the medical center would evaluate the feasibility of implementing a photovoltaic system in the new construction (in development and planned) to provide clean pollution free electricity. The steps taken to achieve this included conducting a feasibility study complete with architectural and engineering assessments to determine the potential for implementation of a photovoltaic system on the campus and also to conduct an energy survey that would focus on determining specific opportunities and upgrades that would lead to a healthier energy efficient interior environment at the medical center. The studies conducted by the medical center to determine the viability of installing a photovoltaic system identified two key issues that factored into leaderships decision not to implement the solar powered system. These factors were related to the advanced phase of construction of the women's and children's pavilion and the financial considerations to redesign and implement in the ambulatory cancer center. The medical center, in spite of their inability to proceed with the solar aspect of the project upheld their commitment to create a healthier environment for the patients and the community. To

    6. Scientific Advisory Committee | Photosynthetic Antenna Research Center

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

      Scientific Advisory Committee Scientific Advisory Committee Gary Brudvig Scientific Advisory Committee Member Read more about Gary Brudvig J. Clark Lagarias Scientific Advisory Committee Member Read more about J. Clark Lagarias Jennifer Ogilvie Scientific Advisory Committee Member Read more about Jennifer Ogilvie Marion Thurnauer Marion Thurnauer Scientific Advisory Committee Member Read more about Marion Thurnauer Thomas Moore Thomas Moore Scientific Advisory Committee Chair Read more about

    7. Scientific Advisory Committee | Photosynthetic Antenna Research Center

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

      Scientific Advisory Committee Scientific Advisory Committee Gary Brudvig Scientific Advisory Committee Member E-mail: gary.brudvig@yale.edu J. Clark Lagarias Scientific Advisory Committee Member E-mail: jclagarias@ucdavis.edu Thomas Moore Thomas Moore Scientific Advisory Committee Chair E-mail: tom.moore@asu.edu Phone: 480.965.3308 Jennifer Ogilvie Scientific Advisory Committee Member E-mail: jogilvie@umich.edu Marion Thurnauer Marion Thurnauer Scientific Advisory Committee Member E-mail:

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

      Office of Science (SC) Website

      Miscellaneous Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific ...

    9. Computing at the leading edge: Research in the energy sciences

      SciTech Connect (OSTI)

      Mirin, A.A.; Van Dyke, P.T.

      1994-02-01

      The purpose of this publication is to highlight selected scientific challenges that have been undertaken by the DOE Energy Research community. The high quality of the research reflected in these contributions underscores the growing importance both to the Grand Challenge scientific efforts sponsored by DOE and of the related supporting technologies that the National Energy Research Supercomputer Center (NERSC) and other facilities are able to provide. The continued improvement of the computing resources available to DOE scientists is prerequisite to ensuring their future progress in solving the Grand Challenges. Titles of articles included in this publication include: the numerical tokamak project; static and animated molecular views of a tumorigenic chemical bound to DNA; toward a high-performance climate systems model; modeling molecular processes in the environment; lattice Boltzmann models for flow in porous media; parallel algorithms for modeling superconductors; parallel computing at the Superconducting Super Collider Laboratory; the advanced combustion modeling environment; adaptive methodologies for computational fluid dynamics; lattice simulations of quantum chromodynamics; simulating high-intensity charged-particle beams for the design of high-power accelerators; electronic structure and phase stability of random alloys.

    10. Advanced LWR Nuclear Fuel Development

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

      Water Reactor Sustainability R&D Program Advanced Instrumentation, Information, and Control Systems Technologies Overview Bruce P. Hallbert DOE-NE Webinar September 16, 2014 Light Water Sustainability Program Goals and Scope * Develop the fundamental scientific basis to understand, predict, and measure changes in materials and structures, systems, and components (SSCs) as they age in environments * Apply this knowledge to develop and demonstrate methods and technologies that support safe and

    11. Scientific Data Management Center for Enabling Technologies

      SciTech Connect (OSTI)

      Vouk, Mladen A.

      2013-01-15

      Managing scientific data has been identified by the scientific community as one of the most important emerging needs because of the sheer volume and increasing complexity of data being collected. Effectively generating, managing, and analyzing this information requires a comprehensive, end-to-end approach to data management that encompasses all of the stages from the initial data acquisition to the final analysis of the data. Fortunately, the data management problems encountered by most scientific domains are common enough to be addressed through shared technology solutions. Based on community input, we have identified three significant requirements. First, more efficient access to storage systems is needed. In particular, parallel file system and I/O system improvements are needed to write and read large volumes of data without slowing a simulation, analysis, or visualization engine. These processes are complicated by the fact that scientific data are structured differently for specific application domains, and are stored in specialized file formats. Second, scientists require technologies to facilitate better understanding of their data, in particular the ability to effectively perform complex data analysis and searches over extremely large data sets. Specialized feature discovery and statistical analysis techniques are needed before the data can be understood or visualized. Furthermore, interactive analysis requires techniques for efficiently selecting subsets of the data. Finally, generating the data, collecting and storing the results, keeping track of data provenance, data post-processing, and analysis of results is a tedious, fragmented process. Tools for automation of this process in a robust, tractable, and recoverable fashion are required to enhance scientific exploration. The SDM center was established under the SciDAC program to address these issues. The SciDAC-1 Scientific Data Management (SDM) Center succeeded in bringing an initial set of advanced

    12. DOE SCIENTIFIC AND TECHNICAL REPORTS

      Broader source: Energy.gov [DOE]

      The Record Disposition Schedule items listed below are have been consolidated from DOE Records Schedules previously approved over the last 35 years. They apply specifically to those scientific and...

    13. September is Scientific Supercomputing Month

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

      is Scientific Supercomputing Month DOE celebrates the science and technology that drive modern discovery September 3, 2013 hopper2cshp.jpg NERSC's flagship Cray XE6 system is...

    14. NERSC Enhances PDSF, Genepool Computing Capabilities

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

      Enhances PDSF, Genepool Computing Capabilities NERSC Enhances PDSF, Genepool Computing Capabilities Linux cluster expansion speeds data access and analysis January 3, 2014 Christmas came early for users of the Parallel Distributed Systems Facility (PDSF) and Genepool systems at Department of Energy's National Energy Research Scientific Computer Center (NERSC). Throughout November members of NERSC's Computational Systems Group were busy expanding the Linux computing resources that support PDSF's

    15. ALS Scientific Advisory Committee Charter

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

      Scientific Advisory Committee Charter Print This document was revised and approved December 18, 2008. I. FUNCTION AND REPORTING The ALS Scientific Advisory Committee (SAC) is advisory to the Berkeley Lab Director through the ALS Director. The SAC serves two primary functions: It acts as a "board of directors" to advise the Laboratory on current and future ALS operations, allocation of facility resources, strategic planning, budget development, and other major issues; and It reviews

    16. ALS Scientific Advisory Committee Charter

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

      Scientific Advisory Committee Charter Print This document was revised and approved December 18, 2008. I. FUNCTION AND REPORTING The ALS Scientific Advisory Committee (SAC) is advisory to the Berkeley Lab Director through the ALS Director. The SAC serves two primary functions: It acts as a "board of directors" to advise the Laboratory on current and future ALS operations, allocation of facility resources, strategic planning, budget development, and other major issues; and It reviews

    17. Molecular Science Computing: 2010 Greenbook

      SciTech Connect (OSTI)

      De Jong, Wibe A.; Cowley, David E.; Dunning, Thom H.; Vorpagel, Erich R.

      2010-04-02

      This 2010 Greenbook outlines the science drivers for performing integrated computational environmental molecular research at EMSL and defines the next-generation HPC capabilities that must be developed at the MSC to address this critical research. The EMSL MSC Science Panel used EMSL’s vision and science focus and white papers from current and potential future EMSL scientific user communities to define the scientific direction and resulting HPC resource requirements presented in this 2010 Greenbook.

    18. Mira Early Science Program | Argonne Leadership Computing Facility

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

      HPC architectures. Together, the 16 projects span a diverse range of scientific fields, numerical methods, programming models, and computational approaches. The latter include...

    19. 2014 Advanced Grid Modeling Peer Review Presentations - Day One Afternoon

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

      Session | Department of Energy Afternoon Session 2014 Advanced Grid Modeling Peer Review Presentations - Day One Afternoon Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

    20. 2014 Advanced Grid Modeling Peer Review Presentations - Day One Morning

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

      Session | Department of Energy Morning Session 2014 Advanced Grid Modeling Peer Review Presentations - Day One Morning Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

    1. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Afternoon

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

      Session | Department of Energy Afternoon Session 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Afternoon Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

    2. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Morning

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

      Session | Department of Energy Morning Session 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Morning Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

    3. 2014 Advanced Grid Modeling Program Peer Review Presentations Now Available

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

      | Department of Energy 4 Advanced Grid Modeling Program Peer Review Presentations Now Available 2014 Advanced Grid Modeling Program Peer Review Presentations Now Available July 10, 2014 - 6:01pm Addthis The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and

    4. Convergence: Computing and communications

      SciTech Connect (OSTI)

      Catlett, C.

      1996-12-31

      This paper highlights the operations of the National Center for Supercomputing Applications (NCSA). NCSA is developing and implementing a national strategy to create, use, and transfer advanced computing and communication tools and information technologies for science, engineering, education, and business. The primary focus of the presentation is historical and expected growth in the computing capacity, personal computer performance, and Internet and WorldWide Web sites. Data are presented to show changes over the past 10 to 20 years in these areas. 5 figs., 4 tabs.

    5. Machine Learning A Scientific Method

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

      ... First Principles: the operating environment is characterized by a stationary random ... bootstrap Theoretical: Statistics + Computer Science Los Alamos National ...

    6. Marianne Francois-Scientific modeling of materials and climate

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

      Marianne Francois Marianne Francois-Scientific modeling of materials and climate Her ability to model the complexity of nuclear weapons systems through advanced numerical methods play an important role in supporting nonproliferation efforts. March 11, 2014 Marianne Francois Francois became a postdoc at the Lab in 2002, where she is now a deputy group leader. A pilot, she (somewhat) jokingly says she chose Los Alamos because it has an airport atop a mesa. Francois says. "Don't get

    7. Scientific Graphical Displays on the Macintosh

      SciTech Connect (OSTI)

      Grotch, S.

      1994-11-15

      In many organizations scientists have ready access to more than one computer, often both a workstation (e.g., SUN, HP, SGI) as well as a Macintosh or other PC. The scientist commonly uses the work station for `number-crunching` and data analysis whereas the Macintosh is relegated to either word processing or serves as a `dumb terminal` to a larger main-frame computer. In an informal poll of my colleagues, very few of them used their Macintoshes for either statistical analysis or for graphical data display. I believe that this state of affairs is particularly unfortunate because over the last few years both the computational capability, and even more so, the software availability for the Macintosh have become quite formidable. In some instances, very powerful tools are now available on the Macintosh that may not exist (or be far too costly) on the so-called `high end` workstations. Many scientists are simply unaware of the wealth of extremely useful, `off-the-shelf` software that already exists on the Macintosh for scientific graphical and statistical analysis.

    8. Software Engineer (Scientific Application) | Princeton Plasma...

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

      Software Engineer (Scientific Application) Department: Information Technology Staff: ENG ... This Scientific Applications Software Engineer position is with the Controls and Data ...

    9. PROJECT PROFILE: Scientific Approach to Reducing Photovoltaic...

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

      Scientific Approach to Reducing Photovoltaic Module Material Costs While Increasing Durability PROJECT PROFILE: Scientific Approach to Reducing Photovoltaic Module Material Costs ...

    10. Taiflex Scientific Co Ltd | Open Energy Information

      Open Energy Info (EERE)

      Taiflex Scientific Co Ltd Place: Kaohsiung, Taiwan Product: Taiwan-based electronic material manufacturer. References: Taiflex Scientific Co Ltd1 This article is a stub. You...

    11. Topco Scientific Company Ltd | Open Energy Information

      Open Energy Info (EERE)

      Topco Scientific Company Ltd Jump to: navigation, search Name: Topco Scientific Company Ltd Place: Taipei City, Taiwan Sector: Solar Product: String representation "Its principal a...

    12. Advanced Sensors and Instrumentation | Department of Energy

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

      Sensors and Instrumentation Advanced Sensors and Instrumentation The ASI subprogram plans to develop the scientific basis for sensors and supporting infrastructure technology that will address crosscutting technology gaps relating to measurements at existing and advanced nuclear power plants as well as within their fuel cycles. The focus of the program is on the following technical challenges and objectives: Identify needed physical measurement accuracy of nuclear system process parameters and

    13. OSTI, US Dept of Energy Office of Scientific and Technical Information...

      Office of Scientific and Technical Information (OSTI)

      The core of the ACME project is model development. This element connects the scientific and energy mission needs with computing power provided by the DOE Office of Science. The ...

    14. OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...

      Office of Scientific and Technical Information (OSTI)

      Scientific Computing Research Topic ACME - Perfecting Earth System Models by Kathy Chambers 29 Oct, 2014 in Earth system modeling as we know it and how it benefits climate change ...

    15. Fermilab | Science at Fermilab | Computing | Mass Storage

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

      Data is stored on tapes in Central Mass Storage. Data is stored on tapes in Central Mass Storage. Computing Mass Storage Fermilab stores tens of petabytes of scientific data in its ...

    16. advanced manufacutring

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

      manufacutring - 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 Energy Defense Waste Management Programs Advanced Nuclear Energy

    17. 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).

    18. Scientific and Technical Information Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2001-04-09

      To establish Department of Energy (DOE) requirements and responsibilities to ensure that scientific and technical information (STI) is identified, processed, disseminated, and preserved in a manner that (a) enables the scientific community and the public to locate and use the unclassified and unlimited STI resulting from DOE's research and related endeavors and (b) ensures access to classified and sensitive unclassified STI is protected according to legal or Departmental requirements. Cancels DOE O 241.1. Canceled by DOE O 241.1A Chg 1.

    19. 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.

    20. 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: 2015-03-30 20:55:24...

    1. Lawrence Livermore National Laboratories Perspective on Code Development and High Performance Computing Resources in Support of the National HED/ICF Effort

      SciTech Connect (OSTI)

      Clouse, C. J.; Edwards, M. J.; McCoy, M. G.; Marinak, M. M.; Verdon, C. P.

      2015-07-07

      Through its Advanced Scientific Computing (ASC) and Inertial Confinement Fusion (ICF) code development efforts, Lawrence Livermore National Laboratory (LLNL) provides a world leading numerical simulation capability for the National HED/ICF program in support of the Stockpile Stewardship Program (SSP). In addition the ASC effort provides high performance computing platform capabilities upon which these codes are run. LLNL remains committed to, and will work with, the national HED/ICF program community to help insure numerical simulation needs are met and to make those capabilities available, consistent with programmatic priorities and available resources.

    2. Scientific

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

      Where can I find DOE research results? OSTI delivers free public access to DOE R&D results. Science, technology, and engineering research from DOE DOEOSTI--C187 0915 OSTI...

    3. 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,...

    4. Year 1 Progress Report Computational Materials and Chemical Sciences Network Administration

      SciTech Connect (OSTI)

      Rehr, John J.

      2012-08-02

      This document reports progress on the project “Computational Materials and Chemical Sciences Network Administration,” which is supported by DOE BES Grant DE-FG02-02ER45990 MOD 08. As stated in the original proposal, the primary goal of this project is to carry out the scientific administrative responsibilities for the Computational Materials and Chemical Sciences Network (CMCSN) of the U.S. Department of Energy, Office of Basic Energy Sciences. These responsibilities include organizing meetings, publishing and maintaining CMCSN’s website, publishing a periodic newsletter, writing original material for both the website and the newsletter, maintaining CMCSN documentation, editing scientific documents, as needed, serving as liaison for the entire Network, facilitating information exchange across the network, communicating CMCSN’s success stories to the larger community and numerous other tasks outside the purview of the scientists in the CMCSN. Given the dramatic increase in computational power, advances in computational materials science can have an enormous impact in science and technology. For many of the questions that can be addressed by computation there is a choice of theoretical techniques available, yet often there is no accepted understanding of the relative strengths and effectiveness of the competing approaches. The CMCSN fosters progress in this understanding by providing modest additional funding to research groups which engage in collaborative activities to develop, compare, and test novel computational techniques. Thus, the CMCSN provides the “glue” money which enables different groups to work together, building on their existing programs and expertise while avoiding unnecessary duplication of effort. This includes travel funding, partial postdoc salaries, and funding for periodic scientific meetings. The activities supported by this grant are briefly summarized below.

    5. 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

    6. 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

    7. 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...

    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. 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...

    11. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      ) 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

    12. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      ) 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

    13. Computing for Finance

      SciTech Connect (OSTI)

      2010-03-24

      ) 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

    14. Mira | 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 Featured Videos Mira: Argonne's 10-Petaflop Supercomputer Mira's Dedication Ceremony Introducing Mira: Our Next-Generation Supercomputer Mira Mira Ushers in a New Era of Scientific Supercomputing As one of the fastest supercomputers, Mira, our 10-petaflops IBM Blue Gene/Q system, is capable of 10 quadrillion calculations per second. With this computing power, Mira can do in one day what it would take

    15. NERSC Intern Wins Award for Computing Achievement

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

      Intern Wins Award for Computing Achievement NERSC Intern Wins Award for Computing Achievement March 27, 2013 Linda Vu, lvu@lbl.gov, +1 510 495 2402 ncwit1 Stephanie Cabanela, a student intern in the National Energy Research Scientific Computing Center's (NERSC) Operation Technologies Group was honored with the Bay Area Affiliate National Center for Women and Information Technology (NCWIT) Aspirations in Computing award on Saturday, March 16, 2013 in a ceremony in San Jose, CA. The award honors

    16. Computational Research and Theory (CRT) Facility

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

      Computational Research and Theory (CRT) Facility Community Environmental Documents Tours Community Programs Friends of Berkeley Lab ⇒ Navigate Section Community Environmental Documents Tours Community Programs Friends of Berkeley Lab Project Description Wang Hall, previously the Computational Research and Theory Facility, is the new home for high performance computing at LBNL and houses the National Energy Research Scientific Computing Center (NERSC). NERSC supports DOE's mission to discover,

    17. Computing Information

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

      Information From here you can find information relating to: Obtaining the right computer accounts. Using NIC terminals. Using BooNE's Computing Resources, including: Choosing your desktop. Kerberos. AFS. Printing. Recommended applications for various common tasks. Running CPU- or IO-intensive programs (batch jobs) Commonly encountered problems Computing support within BooNE Bringing a computer to FNAL, or purchasing a new one. Laptops. The Computer Security Program Plan for MiniBooNE The

    18. NREL: Transportation Research - NREL Kicks Off Next Phase of Advanced

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

      Computer-Aided Battery Engineering NREL Kicks Off Next Phase of Advanced Computer-Aided Battery Engineering March 16, 2016 NREL researcher looks across table at meeting Ahmad Pesaran, Energy Storage Group Manager for NREL's Transportation and Hydrogen Systems Center, led the kickoff meeting for CAEBAT-3 On March 8, NREL hosted the first review meeting of the Advanced Computer-Aided Battery Engineering Consortium, initiating phase three of the collaborative Computer Aided Engineering for

    19. computer graphics

      Energy Science and Technology Software Center (OSTI)

      2001-06-08

      MUSTAFA is a scientific visualization package for visualizing data in the EXODUSII file format. These data files are typically priduced from Sandia's suite of finite element engineering analysis codes.

    20. NREL'S Zunger Receives Scientific Award

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

      Scientific Award For more information contact: Kerry Masson 303-275-4083 email: Kerry Masson Golden, Colo., Aug. 18, 2000 - Alex Zunger, a leading scientist and research fellow at the U.S. Department of Energy's National Renewable Energy Laboratory, has been named the 2001 recipient of the prestigious John Bardeen award from The Minerals, Metals and Materials Society (TMS). The annual award recognizes "an individual who has made an outstanding contribution and is a leader in the field of

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

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

      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.

    3. OSTI, US Dept of Energy Office of Scientific and Technical Information |

      Office of Scientific and Technical Information (OSTI)

      Speeding access to science information from DOE and Beyond Open Government Plan 3.0 Highlights OSTI Products by Peter Lincoln on Tue, June 24, 2014 The Department of Energy recently issued its latest Open Government Plan, and the document recognizes the DOE Office of Scientific and Technical Information (OSTI) for advancing open government and the principles of transparency, participation, and collaboration by making scientific and technical information (STI) publicly available. On his first

    4. Introduction to Scientific I/O

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

      Scientific I/O Show All | 1 2 3 4 5 6 | Next » Introduction to Scientific I/O Table of Contents Introduction to Scientific I/O The Lustre File System The HDF5 Library Parallel HDF5 Scientific I/O in HDF5 Optimizations for HDF5 on Lustre Introduction to Scientific I/O I/O is commonly used by scientific applications to achieve goals like: storing numerical output from simulations for later analysis; implementing 'out-of-core' techniques for algorithms that process more data than can fit in system

    5. 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 Energy Defense Waste Management Programs Advanced Nuclear

    6. Evolving the Land Information System into a Cloud Computing Service

      SciTech Connect (OSTI)

      Houser, Paul R.

      2015-02-17

      The Land Information System (LIS) was developed to use advanced flexible land surface modeling and data assimilation frameworks to integrate extremely large satellite- and ground-based observations with advanced land surface models to produce continuous high-resolution fields of land surface states and fluxes. The resulting fields are extremely useful for drought and flood assessment, agricultural planning, disaster management, weather and climate forecasting, water resources assessment, and the like. We envisioned transforming the LIS modeling system into a scientific cloud computing-aware web and data service that would allow clients to easily setup and configure for use in addressing large water management issues. The focus of this Phase 1 project was to determine the scientific, technical, commercial merit and feasibility of the proposed LIS-cloud innovations that are currently barriers to broad LIS applicability. We (a) quantified the barriers to broad LIS utility and commercialization (high performance computing, big data, user interface, and licensing issues); (b) designed the proposed LIS-cloud web service, model-data interface, database services, and user interfaces; (c) constructed a prototype LIS user interface including abstractions for simulation control, visualization, and data interaction, (d) used the prototype to conduct a market analysis and survey to determine potential market size and competition, (e) identified LIS software licensing and copyright limitations and developed solutions, and (f) developed a business plan for development and marketing of the LIS-cloud innovation. While some significant feasibility issues were found in the LIS licensing, overall a high degree of LIS-cloud technical feasibility was found.

    7. Continental Scientific Drilling Committee: comments on the Continental Scientific Drilling Program of the Office of Basic Energy Sciences, Department of Energy

      SciTech Connect (OSTI)

      Not Available

      1981-05-01

      This program, which provides support for geoscience research, including advanced technology and data/information services, concerning drilling in the continental crust of the United States for scientific purposes, is described. The curatorial needs and comparative site assessment projects are discussed. (MHR)

    8. Argonne's Magellan Cloud Computing Research Project

      ScienceCinema (OSTI)

      Beckman, Pete

      2013-04-19

      Pete Beckman, head of Argonne's Leadership Computing Facility (ALCF), discusses the Department of Energy's new $32-million Magellan project, which designed to test how cloud computing can be used for scientific research. More information: http://www.anl.gov/Media_Center/News/2009/news091014a.html

    9. Computationally Optimized Homogenization Heat Treatment of Metal Alloys -

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

      Energy Innovation Portal Industrial Technologies Industrial Technologies 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

    10. 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...

    11. 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

    12. Extensible Computational Chemistry Environment

      Energy Science and Technology Software Center (OSTI)

      2012-08-09

      ECCE provides a sophisticated graphical user interface, scientific visualization tools, and the underlying data management framework enabling scientists to efficiently set up calculations and store, retrieve, and analyze the rapidly growing volumes of data produced by computational chemistry studies. ECCE was conceived as part of the Environmental Molecular Sciences Laboratory construction to solve the problem of researchers being able to effectively utilize complex computational chemistry codes and massively parallel high performance compute resources. Bringing themore » power of these codes and resources to the desktops of researcher and thus enabling world class research without users needing a detailed understanding of the inner workings of either the theoretical codes or the supercomputers needed to run them was a grand challenge problem in the original version of the EMSL. ECCE allows collaboration among researchers using a web-based data repository where the inputs and results for all calculations done within ECCE are organized. ECCE is a first of kind end-to-end problem solving environment for all phases of computational chemistry research: setting up calculations with sophisticated GUI and direct manipulation visualization tools, submitting and monitoring calculations on remote high performance supercomputers without having to be familiar with the details of using these compute resources, and performing results visualization and analysis including creating publication quality images. ECCE is a suite of tightly integrated applications that are employed as the user moves through the modeling process.« less

    13. On-demand Overlay Networks for Large Scientific Data Transfers

      SciTech Connect (OSTI)

      Ramakrishnan, Lavanya; Guok, Chin; Jackson, Keith; Kissel, Ezra; Swany, D. Martin; Agarwal, Deborah

      2009-10-12

      Large scale scientific data transfers are central to scientific processes. Data from large experimental facilities have to be moved to local institutions for analysis or often data needs to be moved between local clusters and large supercomputing centers. In this paper, we propose and evaluate a network overlay architecture to enable highthroughput, on-demand, coordinated data transfers over wide-area networks. Our work leverages Phoebus and On-demand Secure Circuits and AdvanceReservation System (OSCARS) to provide high performance wide-area network connections. OSCARS enables dynamic provisioning of network paths with guaranteed bandwidth and Phoebus enables the coordination and effective utilization of the OSCARS network paths. Our evaluation shows that this approach leads to improved end-to-end data transfer throughput with minimal overheads. The achievedthroughput using our overlay was limited only by the ability of the end hosts to sink the data.

    14. FWP Scientific Publications | Department of Energy

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

      FWP Scientific Publications FWP Scientific Publications Scientific publications either directly studying former workers in the context of the screening program or recruiting former workers in the program as research participants for scientific studies funded by the National Institutes of Health or other research funding sources are summarized below according to publication date. Stange B., McInerney J., Golden A., Benade W., Neill B., Mayer A., Witter R., Tenney L., Stinson K., Cragle D., Newman

    15. LCLS CDR Chapter 3 - Scientific Experiments

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

      Scientific Basis for Optical Systems TECHNICAL SYNOPSIS The LCLS Scientific Advisory Committee (SAC) has recommended experiments in five scientific disciplines for the initial operation of the LCLS. These experiments cover a variety of scientific disciplines: atomic physics, plasma physics, chemistry, biology and materials science. The x-ray optics and detectors needed to verify the LCLS capability to address these five disciplines will be constructed and installed as part of the LCLS project.

    16. Scientific Advisory Committee | Stanford Synchrotron Radiation Lightsource

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

      Scientific Advisory Committee Role and Charter of the SSRL SAC Scope The SSRL Scientific Advisory Committee (SAC) reports to and advises the SSRL Director on issues related to: Operation of SSRL as a scientific user facility Planning, construction and operation of new SSRL facilities Long-term scientific directions of SSRL Membership and Officers SAC consists of 12 external members, and representatives from the following SSRL committees serve on the SAC in an Ex Officio capacity Co-Chairs of the

    17. Scientific Alternative Investment Advisory Partners | Open Energy...

      Open Energy Info (EERE)

      Alternative Investment Advisory Partners Jump to: navigation, search Name: Scientific Alternative Investment Advisory Partners Place: Frankfurt, Germany Zip: 60325 Sector:...

    18. 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.

    19. Computer Security

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

      computer security 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

    20. 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