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Sample records for advanced scientific computing

  1. Advanced Scientific Computing Research

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

    today's tools and techniques to deliver exascale science Advances in mathematics and computing are providing the foundation for models and simulations that permit scientists to...

  2. Advanced Scientific Computing Research Computer Science

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    Advanced Scientific Computing Research Computer Science FY 2006 Accomplishment High Performance collections of scientific data. In recent years, much of the work in computer and computational science has problem. It is generally accepted that as sciences move into the tera- and peta-scale regimes that one

  3. Advanced Scientific Computing Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications Traditional Knowledge KiosksAboutHelp & ReferenceAdvancedWorkshops

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

    Office of Scientific and Technical Information (OSTI)

    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...

  5. DOE Office of Advanced Scientific Computing Research

    E-Print Network [OSTI]

    DOE Office of Advanced Scientific Computing Research April 10, 2014 Presented to the Fusion Energy Sciences Advisory Committee by Steve Binkley Associate Director #12;2 Advanced Scientific Computing Research Delivering world leading computational and networking capabilities to extend the frontiers

  6. 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...

  7. 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.

  8. Advanced Scientific Computing Research Computer Science

    E-Print Network [OSTI]

    bytes) of raw data. For example, out of hundreds of millions of collision events in a high-energy added to FastBit to support a number of DOE funded projects. Supporting Conditional Analysis Building on the searching capability, we have recently added functions to compute conditional multivariate histograms

  9. Advanced Scientific Computing Research Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    that have a high-performance computing (HPC) component (with an emphasis on high performance computing facilities.develop and deploy high- performance computing hardware and

  10. Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological

    E-Print Network [OSTI]

    Supporting Advanced Scientific Computing Research · Basic Energy Sciences · Biological and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics What my students Code ­http://code.google.com/p/net-almanac/ ­Beta release this week #12;Contact Information Jon Dugan

  11. Sandia Energy - Advanced Scientific Computing Research (ASCR)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen GenerationTechnologies |Education STEMA GreenAdvanced

  12. Advanced Scientific Computing Research Funding Profile by Subprogram

    E-Print Network [OSTI]

    (ASCR) program is to underpin DOE's world leadership in scientific computation by supporting research DOE's mission to provide world-class scientific research capacity through peer- reviewed scientific goals: Science Strategic Goal General Goal 5, World-Class Scientific Research Capacity: Provide world

  13. NERSC Role in Advanced Scientific Computing Research Katherine Yelick

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMissionStressMoveMuncriefB O N N EAdvanced Scientific

  14. 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.

  15. Edison Electrifies Scientific Computing

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

    Edison Contact: Margie Wylie, mwylie@lbl.gov, +1 510 486 7421 The National Energy Research Scientific Computing (NERSC) Center recently accepted "Edison," a new flagship...

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

    E-Print Network [OSTI]

    2004-01-01

    Applications,” High Performance Computing for ComputationalSystem Effectiveness in High Performance Computing Systems,”Tammy Welcome, “High Performance Computing Facilities for

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

    E-Print Network [OSTI]

    2004-01-01

    sustainable path towards petaflops performance. In order to effect a fundamental change in computer architecture

  18. Scientific Discovery through Advanced Computing (SciDAC) | U.S. DOE Office

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of ScienceDiscoveredScientificScientific

  19. 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.

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

    Office of Scientific and Technical Information (OSTI)

    (ASCAC): Workforce Subcommittee Letter Citation Details In-Document Search Title: DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter...

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

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

    physical, biological and environmental sciences for scientific discovery on petascale computers. Petascale computers will be capable of doing thousands of trillions of calculations...

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

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

    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...

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

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

    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...

  4. Theory and Advanced Scientific Presentation to

    E-Print Network [OSTI]

    are Needed to Meet the Mission Goals of DOE Health Effects, Bioremediation Fusion Energy Combustion plasma frequency current diffusion pulse length #12;Advanced Scientific Codes --- a measure of the state

  5. Edison Electrifies Scientific Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network RequirementsEdison Electrifies Scientific

  6. Educational Interventions to Advance Children's Scientific Thinking

    E-Print Network [OSTI]

    Klahr, David

    , and an assessment process. Here we describe some ways in which re- search in cognitive development has advanced our for Classifying Interventions in Science Education Scientific thinking can be characterized in terms of two of the scientific enter- prise" (row 2). (6). Research on domain-specific hypotheses (cell A) assesses young

  7. 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...

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

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

    DOE's missions," said Secretary Bodman. "This program opens up the world of high-performance computing to a broad array of scientific users. Through the use of these advanced...

  9. Recap: Advancing Scientific Innovation at the National Labs

    Broader source: Energy.gov [DOE]

    Learn how the National Labs are advancing scientific innovation through user facilities and industry partnerships.

  10. Scientific Computing (SC) Track (DRAFT) Track Description

    E-Print Network [OSTI]

    Edwards, Stephen H.

    requiring high performance computing. The area is also known as "computational science and engineering and high performance computing are often synonymous), and a capstone course in scientific computing. Why

  11. ADVANCED SCIENTIFIC COMPUTING ADVISORY COMMITTEE

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalter H. Zinn, 1969 The EnricoOffice2 » A Pop QuizMonday,

  12. Advanced Scientific Computing Research Jobs

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOffice of Science

  13. Area E Numerics and Scientific Computing Foundation in Numerical Mathematics F4E1

    E-Print Network [OSTI]

    Sturm, Karl-Theodor

    Area E ­ Numerics and Scientific Computing Foundation in Numerical Mathematics F4E1: · Scientific Selected Topics in Scientific Computing · V5E3 Advanced Topics in Numerical Methods in Science matrices) · Computational Finance (e.g. option pricing, fast numerical methods) · Visualization Methods (e

  14. 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.

  15. 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.

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

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

    concerns specific to the Department of Energy and scientific computing: Can DOE cyber security requirements be met within a cloud? Can DOE HPC applications run efficiently in...

  17. Advance the DNA computing 

    E-Print Network [OSTI]

    Qiu, Zhiquan Frank

    2004-09-30

    It has been previously shown that DNA computing can solve those problems currently intractable on even the fastest electronic computers. The algorithm design for DNA computing, however, is not straightforward. A strong background in both the DNA...

  18. 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...

  19. Interdisciplinary Center for Scientific Computing (IWR)

    E-Print Network [OSTI]

    Kirches, Christian

    Interdisciplinary Center for Scientific Computing (IWR) Heidelberg University Course web page: http arithmetics according to the IEEE standard. · Why do we use floating point arithmetics rather than a "fixed" number representation? · What is meant by machine precision? · How precise is the floating point

  20. Advanced Topics in Computational Biology

    E-Print Network [OSTI]

    Lonardi, Stefano

    1 Advanced Topics in Computational Biology April 6, 2015 CS260 3D structure of genomes ... the next frontier in genomic is space #12;2 Genome (chromosome) 3D structure · Conformation of chromosomes in nuclei is critical to many cellular processes such as gene regulation, DNA replication, maintenance of genome

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

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

    missions: accelerator science, astrophysics, climate modeling, computational biology, fusion science, groundwater modeling, high energy physics, nuclear physics, quantum...

  2. The Pioneer Days of Scientific Computing in Switzerland

    E-Print Network [OSTI]

    Gutknecht, Martin H.

    The Pioneer Days of Scientific Computing in Switzerland Martin H. Gutknecht Eidgenbssische Technische Hochschule CH-8092 Ziirich Abstract. Scientific computing was established in Switzerland by E science and scientific computing in Switzerland one is soon thinking of January 1948 when the Institute

  3. MPI: The Complete Reference Scientific and Engineering Computation

    E-Print Network [OSTI]

    Lu, Paul

    MPI: The Complete Reference #12; Scientific and Engineering Computation Janusz Kowalik, Editor Data Manchek, and Vaidy Sunderam, 1994 Enabling Technologies for Petaflops Computing by Thomas Sterling, Paul

  4. Advanced Simulation and Computing Program

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications Traditional Knowledge KiosksAboutHelp &Advanced Simulation and Computing

  5. The Computational Support of Scientific Discovery Pat Langley \\Pi

    E-Print Network [OSTI]

    Honavar, Vasant

    intervention in the discovery process. Running head: Computational Scientific Discovery Key words The process of scientific discovery has long been viewed as the pinnacle of creative thought. Thus, to many and attempting to model these activities. Computational scientific discovery is no exception, as early research

  6. ADVANCED MODERN PHYSICS -Theoretical Foundations World Scientific Publishing Co. Pte. Ltd.

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    ADVANCED MODERN PHYSICS - Theoretical Foundations © World Scientific Publishing Co. Pte. Ltd. http - Theoretical Foundations © World Scientific Publishing Co. Pte. Ltd. http://www.worldscibooks.com/physics/7555

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

    Office of Scientific and Technical Information (OSTI)

    around energy consumption, memory performance, resilience, extreme concurrency, and big data. Drawing from these reports and more recent experience, this ASCAC subcommittee...

  8. Advances in Quantitative Verification for Ubiquitous Computing

    E-Print Network [OSTI]

    Oxford, University of

    Advances in Quantitative Verification for Ubiquitous Computing Marta Kwiatkowska Department of Computer Science, University of Oxford, Oxford, OX1 3QD Abstract. Ubiquitous computing, where computers and correcting flaws in a number of ubiquitous computing applications. In this paper, we focus on three key

  9. Theory of Computing: A Scientific Perspective (Extended Abstract) \\Lambda

    E-Print Network [OSTI]

    Goldreich, Oded

    Theory of Computing: A Scientific Perspective (Extended Abstract) \\Lambda Oded Goldreich y Avi Wigderson z November 3, 1996 Theory of Computation (TOC) seeks to understand computational phenomena, be it natural, man­made or imaginative. TOC is an independent scientific discipline of fundamental importance

  10. Computer Information Systems Association for Computing Machinery (ACM) delivers resources that advance computing as a science

    E-Print Network [OSTI]

    Computer Information Systems Association for Computing Machinery (ACM) delivers resources that advance computing as a science and a profession. ACM provides the computing field's premier Digital

  11. 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.

  12. Advanced Computer Control Concepts Facilitate Energy Recovery 

    E-Print Network [OSTI]

    Cutler, C. R.

    1981-01-01

    A process computer is a powerful tool for maximizing the use of energy and raw materials. Advanced computer control techniques are evolving which facilitate the recovery of energy by predictive control techniques. One such technique is Dynamic...

  13. Concepts for High Availability in Scientific High-End Computing C. Engelmann1,2 and S. L. Scott1

    E-Print Network [OSTI]

    Engelmann, Christian

    . Furthermore, high-end computing has played a significant role in engineering, where computer simu- lations have aided the design and testing of machinery, cars, air planes and buildings. Every year, new HEC computing is driven by the race for scientific discovery through advanced computing by running applications

  14. Scientific Computing for Psychological and Brain Sciences

    E-Print Network [OSTI]

    Palmeri, Thomas

    practices high performance computing how to think computationally #12;Why do we program in psychology

  15. Concepts for High Availability in Scientific High-End Computing

    E-Print Network [OSTI]

    Engelmann, Christian

    Concepts for High Availability in Scientific High-End Computing Christian Engelmann 1,2 and Stephen 2 Department of Computer Science The University of Reading, Reading, UK High Availability and Stephen L. Scott, Oak Ridge National Laboratory Concepts for High Availability in Scientific High

  16. Sandia Energy - Helping Advance the Scientific Foundation that...

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

    detail elsewhere on this website. Scientific Research Challenge 0: Overarching and Spillover Research Scientific Research Challenge 1: Nanowires Scientific Research Challenge 2:...

  17. . Advances in Geosciences, Volume 10 : Atmospheric Science . : World Scientific, . p 40

    E-Print Network [OSTI]

    Li, Tim

    . Advances in Geosciences, Volume 10 : Atmospheric Science . : World Scientific, . p 40 http://site.ebrary.com/id/10361904?ppg=40 Copyright © World Scientific. . All rights reserved. May not be reproduced in any form. #12;. Advances in Geosciences, Volume 10 : Atmospheric Science . : World Scientific, . p 41 http

  18. Writing and Publishing Scientific Articles in Computer Science

    E-Print Network [OSTI]

    Wladmir Cardoso Brandăo

    2015-06-01

    Over 15 years of teaching, advising students and coordinating scientific research activities and projects in computer science, we have observed the difficulties of students to write scientific papers to present the results of their research practices. In addition, they repeatedly have doubts about the publishing process. In this article we propose a conceptual framework to support the writing and publishing of scientific papers in computer science, providing a kind of guide for computer science students to effectively present the results of their research practices, particularly for experimental research.

  19. 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.

  20. 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.

  1. Using Agentbased Software for Scientific Computing

    E-Print Network [OSTI]

    Dongarra, Jack

    in computational servers. New numerical functionalities can be integrated easily into the servers by a specific, Computational Servers \\Lambda Department of Computer Science, University of Tennessee, TN 37996 y Mathematical computations. Another class of tools falls under the category of numerical function libraries. These libraries

  2. Berkeley Lab Computing Sciences: Accelerating Scientific Discovery

    E-Print Network [OSTI]

    Hules, John A

    2009-01-01

    COMPUTING SCIENCES Chemistry Fusion Energy Materials Scienceclimate change, combustion, fusion energy, nanotechnol- ogy,

  3. A Lightweight Java Taskspaces Framework for Scientific Computing on Computational Grids

    E-Print Network [OSTI]

    De Sterck, Hans

    A Lightweight Java Taskspaces Framework for Scientific Computing on Computational Grids Appeared orientation and platform independence realized by implementation in Java. Grid administration tasks, Intertask Communication, Scalability, Java 1. INTRODUCTION Distributed computing on heterogeneous

  4. National Energy Research Scientific Computing Center 2007 Annual Report

    SciTech Connect (OSTI)

    Hules, John A.; Bashor, Jon; Wang, Ucilia; Yarris, Lynn; Preuss, Paul

    2008-10-23

    This report presents highlights of the research conducted on NERSC computers in a variety of scientific disciplines during the year 2007. It also reports on changes and upgrades to NERSC's systems and services aswell as activities of NERSC staff.

  5. Spar: a set of extensions to Java for scientific computation

    E-Print Network [OSTI]

    Spar: a set of extensions to Java for scientific computation C. van Reeuwijk, F. Kuijlman, and H Executiontime(s) Number of processors HPF Spar Spar (no checks) Fortran/MPI 9. SPAR AND JVM 10. RELATED WORK #12

  6. Multicore Platforms for Scientific Computing: Cell BE and NVIDIA Tesla

    E-Print Network [OSTI]

    Acacio, Manuel

    Multicore Platforms for Scientific Computing: Cell BE and NVIDIA Tesla J. Fern´andez, M.E. Acacio Tesla computing solutions. The former is a re- cent heterogeneous chip-multiprocessor (CMP) architecture, multicore, Cell BE, NVIDIA Tesla, CUDA 1 Introduction Nowadays, multicore architectures are omnipresent

  7. NREL: Continuum Magazine - Computing Advances Enable More Efficient...

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

    Computing Advances Enable More Efficient Buildings Computers, apps, and visualization tools open up new possibilities to improve the energy performance of buildings. Computers are...

  8. Towards an explanatory and computational theory of scientific discovery

    E-Print Network [OSTI]

    Chaomei Chen; Yue Chen; Mark Horowitz; Haiyan Hou; Zeyuan Liu; Don Pellegrino

    2009-04-08

    We propose an explanatory and computational theory of transformative discoveries in science. The theory is derived from a recurring theme found in a diverse range of scientific change, scientific discovery, and knowledge diffusion theories in philosophy of science, sociology of science, social network analysis, and information science. The theory extends the concept of structural holes from social networks to a broader range of associative networks found in science studies, especially including networks that reflect underlying intellectual structures such as co-citation networks and collaboration networks. The central premise is that connecting otherwise disparate patches of knowledge is a valuable mechanism of creative thinking in general and transformative scientific discovery in particular.

  9. Sandia Energy - Computational Science

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

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

  10. 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.

  11. Scientific Computing Unit code: MATH49111

    E-Print Network [OSTI]

    Sidorov, Nikita

    , 2007. B. Stroustrup. The C++ Programming Language (Third edition). Addison-Wesley, 1997 S. Meyers. Effective C++: 55 specific ways to improve your programs and designs (Third edition). Addison-Wesley, 2005 problems by writing computer programs in C++. Overview This course covers the techniques required

  12. Physics and ATCA Advanced Telecommunications Computing Architecture

    E-Print Network [OSTI]

    Gollin, George

    Physics and ATCA Advanced Telecommunications Computing Architecture - developed by PICMG #12;The in terms of reliability and availability. ATCA was developed as with the intent of ensuring VERY high reliability and availability for the Telecom Industry. Physics may be able to leverage off the technology

  13. Advanced I/O for large-scale scientific applications.

    SciTech Connect (OSTI)

    Klasky, Scott (Oak Ridge National Laboratory, Oak Ridge, TN); Schwan, Karsten (Georgia Institute of Technology, Atlanta, GA); Oldfield, Ron A.; Lofstead, Gerald F., II (Georgia Institute of Technology, Atlanta, GA)

    2010-01-01

    As scientific simulations scale to use petascale machines and beyond, the data volumes generated pose a dual problem. First, with increasing machine sizes, the careful tuning of IO routines becomes more and more important to keep the time spent in IO acceptable. It is not uncommon, for instance, to have 20% of an application's runtime spent performing IO in a 'tuned' system. Careful management of the IO routines can move that to 5% or even less in some cases. Second, the data volumes are so large, on the order of 10s to 100s of TB, that trying to discover the scientifically valid contributions requires assistance at runtime to both organize and annotate the data. Waiting for offline processing is not feasible due both to the impact on the IO system and the time required. To reduce this load and improve the ability of scientists to use the large amounts of data being produced, new techniques for data management are required. First, there is a need for techniques for efficient movement of data from the compute space to storage. These techniques should understand the underlying system infrastructure and adapt to changing system conditions. Technologies include aggregation networks, data staging nodes for a closer parity to the IO subsystem, and autonomic IO routines that can detect system bottlenecks and choose different approaches, such as splitting the output into multiple targets, staggering output processes. Such methods must be end-to-end, meaning that even with properly managed asynchronous techniques, it is still essential to properly manage the later synchronous interaction with the storage system to maintain acceptable performance. Second, for the data being generated, annotations and other metadata must be incorporated to help the scientist understand output data for the simulation run as a whole, to select data and data features without concern for what files or other storage technologies were employed. All of these features should be attained while maintaining a simple deployment for the science code and eliminating the need for allocation of additional computational resources.

  14. Computers as Scientific Peers | GE Global Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAuditsCluster Compatibilitydefault Changes TheCompute

  15. 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.

  16. MA50177: Scientific Computing Nuclear Reactor Simulation Generalised Eigenvalue Problems

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    MA50177: Scientific Computing Case Study Nuclear Reactor Simulation ­ Generalised Eigenvalue of a malfunction or of an accident experimentally, the numerical simulation of nuclear reactors is of utmost balance in a nuclear reactor are the two-group neutron diffusion equations -div (K1 u1) + (a,1 + s) u1 = 1

  17. 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 .

  18. RIKEN Advanced Institute for Computational Science AICS Policy Planning Division

    E-Print Network [OSTI]

    Fukai, Tomoki

    RIKEN Advanced Institute for Computational Science AICS Policy Planning Division AICS Strategic Numerical Computing Technology Research Team HPC Usability Research Team Field Theory Research Team Discrete Event Simulation Research Team Computational Molecular Science Research Team Computational Materials

  19. Advances in Complex Systems, Vol. 14, No. 6 (2011) 817827 c World Scientific Publishing Company

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    2011-01-01

    Advances in Complex Systems, Vol. 14, No. 6 (2011) 817­827 c World Scientific Publishing Company in [28] where they identify a quadratic family of dynamic optimization models and they prove

  20. Optimizing Computer Programs: A Killer App for Scientific Computing?

    E-Print Network [OSTI]

    Moreno Maza, Marc

    [p] = c[p] + a[t+p-n] * b[n-t]; } } We use symbolic computation to automatically translate serial programs of the program P satisfies: TP (N(P)/K + L(P)) C(P), where C(P) is the maximum running time of local operations, such as GPUs and multi-core processors. #12;High-performance computing: parallel program translation int main

  1. Sandia Energy - Applied & Computational Math

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

    Applied & Computational Math Home Energy Research Advanced Scientific Computing Research (ASCR) Applied & Computational Math Applied & Computational Mathcwdd2015-03-26T13:34:5...

  2. 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.

  3. Unique Aspects and Scientific Challenges - Advanced R and D|...

    Office of Science (SC) Website

    facilities supported by the Advanced Technology subprogram include the Accelerator Test Facility (ATF) at Brookhaven National Laboratory and the magnet laboratory and SRF...

  4. 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.

  5. Methodological advances in computer simulation of biomolecular systems

    E-Print Network [OSTI]

    Fischer, Wolfgang

    Methodological advances in computer simulation of biomolecular systems Wilfred F. van Gunsteren Computer simulation of the dynamics of biomolecular systems by the molecular dynamics technique yields computing power. Recent advances in simulation methodology e.g. to rapidly compute many free energies from

  6. Power-aware applications for scientific cluster and distributed computing

    E-Print Network [OSTI]

    David Abdurachmanov; Peter Elmer; Giulio Eulisse; Paola Grosso; Curtis Hillegas; Burt Holzman; Ruben L. Janssen; Sander Klous; Robert Knight; Shahzad Muzaffar

    2014-10-22

    The aggregate power use of computing hardware is an important cost factor in scientific cluster and distributed computing systems. The Worldwide LHC Computing Grid (WLCG) is a major example of such a distributed computing system, used primarily for high throughput computing (HTC) applications. It has a computing capacity and power consumption rivaling that of the largest supercomputers. The computing capacity required from this system is also expected to grow over the next decade. Optimizing the power utilization and cost of such systems is thus of great interest. A number of trends currently underway will provide new opportunities for power-aware optimizations. We discuss how power-aware software applications and scheduling might be used to reduce power consumption, both as autonomous entities and as part of a (globally) distributed system. As concrete examples of computing centers we provide information on the large HEP-focused Tier-1 at FNAL, and the Tigress High Performance Computing Center at Princeton University, which provides HPC resources in a university context.

  7. 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.

  8. Computational Design of Advanced Nuclear Fuels

    SciTech Connect (OSTI)

    Savrasov, Sergey; Kotliar, Gabriel; Haule, Kristjan

    2014-06-03

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

  9. 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...

  10. ANNUAL REPORT RIKEN Advanced Institute for Computational Science

    E-Print Network [OSTI]

    Fukai, Tomoki

    ANNUAL REPORT RIKEN Advanced Institute for Computational Science FY2013-14 AICS Research Activities.................................................................................38 Large-scale Parallel Numerical Computing Technology Research Team ............................................................73 Computational Molecular Science Research Team

  11. 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.

  12. 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.

  13. Preface In recent decades we have witnessed the enormous impact of scientific computing

    E-Print Network [OSTI]

    Buscaglia, Gustavo C.

    computing in medicine and healthcare. For instance, computational modeling and numerical simulation fields in various areas of human knowledge (engineering, mathematics, computing, medicine and biology among others and education of health professionals by incorporating techniques based on scientific computing, visualization

  14. Strategic Plan for a Scientific Cloud Computing infrastructure for Europe

    E-Print Network [OSTI]

    Lengert, Maryline

    2011-01-01

    Here we present the vision, concept and direction for forming a European Industrial Strategy for a Scientific Cloud Computing Infrastructure to be implemented by 2020. This will be the framework for decisions and for securing support and approval in establishing, initially, an R&D European Cloud Computing Infrastructure that serves the need of European Research Area (ERA ) and Space Agencies. This Cloud Infrastructure will have the potential beyond this initial user base to evolve to provide similar services to a broad range of customers including government and SMEs. We explain how this plan aims to support the broader strategic goals of our organisations and identify the benefits to be realised by adopting an industrial Cloud Computing model. We also outline the prerequisites and commitment needed to achieve these objectives.

  15. New Classes of Magnetoelectric Materials Can Advance Computing

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

    2008 | 2007 | 2006 | 2005 2004 | 2003 | 2002 | 2001 2000 Subscribe to APS News rss feed New Classes of Magnetoelectric Materials Can Advance Computing FEBRUARY 11, 2013 Bookmark...

  16. 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.

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

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

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

  18. Molecular Science Computing Facility Scientific Challenges: Linking Across Scales

    SciTech Connect (OSTI)

    De Jong, Wibe A.; Windus, Theresa L.

    2005-07-01

    The purpose of this document is to define the evolving science drivers for performing environmental molecular research at the William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) and to provide guidance associated with the next-generation high-performance computing center that must be developed at EMSL's Molecular Science Computing Facility (MSCF) in order to address this critical research. The MSCF is the pre-eminent computing facility?supported by the U.S. Department of Energy's (DOE's) Office of Biological and Environmental Research (BER)?tailored to provide the fastest time-to-solution for current computational challenges in chemistry and biology, as well as providing the means for broad research in the molecular and environmental sciences. The MSCF provides integral resources and expertise to emerging EMSL Scientific Grand Challenges and Collaborative Access Teams that are designed to leverage the multiple integrated research capabilities of EMSL, thereby creating a synergy between computation and experiment to address environmental molecular science challenges critical to DOE and the nation.

  19. Advanced Test Reactor National Scientific User Facility: Addressing

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563Abuse Tolerance(Conference) |stabilized by(Conference)advanced

  20. 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...

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

    Office of Science (SC) Website

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

  2. CRRAO Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS)

    E-Print Network [OSTI]

    McLachlan, Geoff

    of Mathematics, Statistics and Computer Science, Hyderabad, India 2 Public Health Foundation of India 3CRRAO Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS) Author (s. C R Rao Road, University of Hyderabad Campus, Gachibowli, Hyderabad-500046, INDIA. www

  3. 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.

  4. 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...

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

    Office of Scientific and Technical Information (OSTI)

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

  6. Advancing the scientific basis of trivalent actinide-lanthanide separations

    SciTech Connect (OSTI)

    Nash, K.L. [Washington State University, Department of Chemistry, PO Box 644630, Pullman, WA 99164-4630 (United States)

    2013-07-01

    For advanced fuel cycles designed to support transmutation of transplutonium actinides, several options have been demonstrated for process-scale aqueous separations for U, Np, Pu management and for partitioning of trivalent actinides and fission product lanthanides away from other fission products. The more difficult mutual separation of Am/Cm from La-Tb remains the subject of considerable fundamental and applied research. The chemical separations literature teaches that the most productive alternatives to pursue are those based on ligand donor atoms less electronegative than O, specifically N- and S-containing complexants and chloride ion (Cl{sup -}). These 'soft-donor' atoms have exhibited usable selectivity in their bonding interactions with trivalent actinides relative to lanthanides. In this report, selected features of soft donor reagent design, characterization and application development will be discussed. The roles of thiocyanate, aminopoly-carboxylic acids and lactate in separation processes are detailed. (authors)

  7. Domain analysis of computational science - Fifty years of a scientific computing group

    SciTech Connect (OSTI)

    Tanaka, M.

    2010-02-23

    I employed bibliometric- and historical-methods to study the domain of the Scientific Computing group at Brookhaven National Laboratory (BNL) for an extended period of fifty years, from 1958 to 2007. I noted and confirmed the growing emergence of interdisciplinarity within the group. I also identified a strong, consistent mathematics and physics orientation within it.

  8. Advanced Environments and Tools for High Performance Computing

    E-Print Network [OSTI]

    Walker, David W.

    Advanced Environments and Tools for High Performance Computing Problem-Solving Environments Environments and Tools for High Performance Computing. The conference was chaired by Professor D. W. Walker and managing distributed high performance comput- ing resources is important for a PSE to meet the requirements

  9. Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological

    E-Print Network [OSTI]

    and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics IPv6 SNMP Network will become consistent and routine IPv6 SNMP Network Management Goals #12;2/2/10 ·ESnet has a long history - Polling of SNMP MIBs - Handling of asynchronous trap based alerts - GUI input & output Enablers ESnet has

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

    Office of Scientific and Technical Information (OSTI)

    (United States) Publication Date: 2014-01-15 OSTI Identifier: 1147164 Report Number(s): ORNLTM--201421 R&D Project: KP1703020 DOE Contract Number: AC05-00OR22725 Resource Type:...

  11. Geophysical Disaster Computational Fluid Dynamics Center Our scientific advances.

    E-Print Network [OSTI]

    meteorology) · Increase efficiency of clean electric generation, transmission and use. (wind & hydro power

  12. Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological

    E-Print Network [OSTI]

    configuration ­ Continuous monitoring of servers & services ­ Performance tuning & verifying everything Bechtel-NV IARC INL NSTEC Pantex SNLA DOE-ALB Allied Signal KCP SRS NREL DOE NETL NNSA ARM ORAU OSTI NOAA and how? · Evaluate publication issues ­ Is the data already published? ­ Are there security concerns

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura BeaneCardwell,Production - EnergybyInnovationt he

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel Production 1: TotalofSupply StoresSupport Nodes

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel Production 1: TotalofSupply StoresSupport

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel Production 1: TotalofSupply StoresSupportNetwork

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel Production 1: TotalofSupply StoresSupportNetworkEnergy S

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel Production 1: TotalofSupply StoresSupportNetworkEnergy

  19. Energy Department Requests Proposals for Advanced Scientific Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLfor Innovative Solar Power PlantEnergy PerformancePublic

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnect Collidertransfer (Journal Article) |Programs of Science

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnect Collidertransfer (Journal Article) |Programs of ScienceReport on

  2. DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnect Collidertransfer (Journal Article) |Programs of ScienceReport onTen

  3. DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnect Collidertransfer (Journal Article) |Programs of ScienceReport

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTechsaturated fracturedConnectSciTech ConnectProject

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTechsaturated fracturedConnectSciTech

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 rzNewsOffice of Science (SC)OfficeDOE

  7. Large Scale Computing and Storage Requirements for Advanced Scientific

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse Bergkamp Graduate studentScienceLaboratory program

  8. Energy Department Requests Proposals for Advanced Scientific Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunities Energy Efficiency CompetitionDepartmentDepartment

  9. A Periodic Portfolio Scheduler for Scientific Computing in the Data Center

    E-Print Network [OSTI]

    Feitelson, Dror

    A Periodic Portfolio Scheduler for Scientific Computing in the Data Center Kefeng Deng1,2 , Ruben.S.Verboon@student.tudelft.nl, A.Iosup@tudelft.nl Abstract. The popularity of data centers in scientific computing has led to new of efficient scheduling algorithms for the data center is an increasingly costlier and more difficult challenge

  10. Opportunities and Challenges for Running Scientific Workflows on the Cloud School of Computer Science and Engineering

    E-Print Network [OSTI]

    Lu, Shiyong

    -- Cloud computing is gaining tremendous momentum in both academia and industry. The application of Cloud, execution, provenance tracking of large-scale scientific workflows, as well as the management of data and computing resources to enable the execution of scientific workflows on the Cloud. In this paper, we analyze

  11. Optical design and characterization of an advanced computational imaging system

    E-Print Network [OSTI]

    Shepard III, R. Hamilton

    We describe an advanced computational imaging system with an optical architecture that enables simultaneous and dynamic pupil-plane and image-plane coding accommodating several task-specific applications. We assess the ...

  12. Advanced Health Monitoring of Computer Cluster

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

    Health Monitoring of Computer Clusters Presenter: Caleb Morse Team: Dylan Merrigan, Sherry Salas Mentors: Susan Coulter, Andree Jacobson, Kevin Tegtmeier LANL ISTIIAS Cluster...

  13. National Energy Research Scientific Computing Center 2007 Annual Report

    E-Print Network [OSTI]

    Hules, John A.

    2008-01-01

    and Directions in High Performance Computing for the Officein the evolution of high performance computing and networks.Hectopascals High performance computing High Performance

  14. Cloud computing security: the scientific challenge, and a survey of solutions

    E-Print Network [OSTI]

    Ryan, Mark

    Cloud computing security: the scientific challenge, and a survey of solutions Mark D. Ryan University of Birmingham January 28, 2013 Abstract We briefly survey issues in cloud computing security that separates cloud computing security from other topics in computing security. We survey three current research

  15. Scholarly literature and the press: scientific impact and social perception of physics computing

    E-Print Network [OSTI]

    Maria Grazia Pia; Tullio Basaglia; Zane W. Bell; Paul. V. Dressendorfer

    2014-01-20

    The broad coverage of the search for the Higgs boson in the mainstream media is a relative novelty for high energy physics (HEP) research, whose achievements have traditionally been limited to scholarly literature. This paper illustrates the results of a scientometric analysis of HEP computing in scientific literature, institutional media and the press, and a comparative overview of similar metrics concerning representative particle physics measurements. The picture emerging from these scientometric data documents the scientific impact and social perception of HEP computing. The results of this analysis suggest that improved communication of the scientific and social role of HEP computing would be beneficial to the high energy physics community.

  16. Advanced Computational Methods for Turbulence and Combustion

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications Traditional Knowledge KiosksAboutHelp & Reference UsersAdvanced

  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. An expanded framework for the advanced computational testing and simulation toolkit

    SciTech Connect (OSTI)

    Marques, Osni A.; Drummond, Leroy A.

    2003-11-09

    The Advanced Computational Testing and Simulation (ACTS) Toolkit is a set of computational tools developed primarily at DOE laboratories and is aimed at simplifying the solution of common and important computational problems. The use of the tools reduces the development time for new codes and the tools provide functionality that might not otherwise be available. This document outlines an agenda for expanding the scope of the ACTS Project based on lessons learned from current activities. Highlights of this agenda include peer-reviewed certification of new tools; finding tools to solve problems that are not currently addressed by the Toolkit; working in collaboration with other software initiatives and DOE computer facilities; expanding outreach efforts; promoting interoperability, further development of the tools; and improving functionality of the ACTS Information Center, among other tasks. The ultimate goal is to make the ACTS tools more widely used and more effective in solving DOE's and the nation's scientific problems through the creation of a reliable software infrastructure for scientific computing.

  19. ADVANCED WUFI COMPUTER MODELING WORKSHOP FOR WALL DESIGN AND PERFORMANCE

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    TRANSFER IN BUILDING ENVELOPES) Napa, CA, January 30 - February 1, 2012 WUFI/ORNL1 Program made availableADVANCED WUFI COMPUTER MODELING WORKSHOP FOR WALL DESIGN AND PERFORMANCE (HEAT AND MOISTURE-Institut für Bauphysik (IBP) and co-sponsored by the National Institute of Building Sciences (NIBS)/ Building

  20. National Energy Research Scientific Computing Center 2007 Annual Report

    E-Print Network [OSTI]

    Hules, John A.

    2008-01-01

    2008/02/02/horst_simon_cloud_computer/. Michael Feldman, “Acomputer architectures. model would be capable of simulating the circulations associated with large convective clouds.

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

    Office of Science (SC) Website

    of NERSC, you must prepare and submit a Request to use NERSC resources via a web form known as the ERCAP (Energy Research Computing Allocations Process) Request Form....

  2. International Scientific Conference Computer Science'2008 Near-Native Protein Folding

    E-Print Network [OSTI]

    Fidanova, Stefka

    International Scientific Conference Computer Science'2008 61 Near-Native Protein Folding Stefka: The protein folding problem is a fundamental problem in computational molecular biology. The high resolution 3. After that the folding problem is de- fined like optimization problem. Keywords: Protein folding

  3. A Simulation and Decision Framework for Selection of Numerical Solvers in Scientific Computing

    E-Print Network [OSTI]

    Burns, Peter

    A Simulation and Decision Framework for Selection of Numerical Solvers in Scientific Computing by the journal ACM Transactions On Mathematical Software (ACM 2004 [1]) and the Numerical Recipes published Peter Bunus Department of Computer and Information Science Linköping University, Sweden petbu

  4. Feb. 11, 2008 Advanced Fault Tolerance Solutions for High Performance Computing 1/47 Advanced Fault Tolerance Solutions

    E-Print Network [OSTI]

    Engelmann, Christian

    Feb. 11, 2008 Advanced Fault Tolerance Solutions for High Performance Computing 1/47 RAS RAS Advanced Fault Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Solutions for High Performance Computing 2/47 · Nation's largest energy laboratory · Nation's largest

  5. National Energy Research Scientific Computing Center NERSC Exceeds Reliability

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolar Photovoltaic Solar Photovoltaic FindNational4 Annual ReportScientific

  6. 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 Mřller–Plesset perturbation theory.« less

  7. 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.

  8. SIAM Conference on Parallel Processing for Scientific Computing - March 12-14, 2008

    SciTech Connect (OSTI)

    None

    2008-09-08

    The themes of the 2008 conference included, but were not limited to: Programming languages, models, and compilation techniques; The transition to ubiquitous multicore/manycore processors; Scientific computing on special-purpose processors (Cell, GPUs, etc.); Architecture-aware algorithms; From scalable algorithms to scalable software; Tools for software development and performance evaluation; Global perspectives on HPC; Parallel computing in industry; Distributed/grid computing; Fault tolerance; Parallel visualization and large scale data management; and The future of parallel architectures.

  9. 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.

  10. StratOS: A Big Data Framework for Scientific Computing

    E-Print Network [OSTI]

    Stickley, Nathaniel R

    2015-01-01

    We introduce StratOS, a Big Data platform for general computing that allows a datacenter to be treated as a single computer. With StratOS, the process of writing a massively parallel program for a datacenter is no more complicated than writing a Python script for a desktop computer. Users can run pre-existing analysis software on data distributed over thousands of machines with just a few keystrokes. This greatly reduces the time required to develop distributed data analysis pipelines. The platform is built upon industry-standard, open-source Big Data technologies, from which it inherits fast data throughput and fault tolerance. StratOS enhances these technologies by adding an intuitive user interface, automated task monitoring, and other usability features.

  11. Verification, Validation, and Scientific Computing: Successes, Failures, and Challenges

    E-Print Network [OSTI]

    , North Carolina, 1903 #12;A Modern Science Paradigm Theory, computation, and experiment are used together. Powers Department of Aerospace and Mechanical Engineering Department of Mathematics University of Notre Can Work! The Wright brothers used experiment and theory for design. Wind Tunnel Data Kitty Hawk

  12. Argonne National Lab - Theory and Computing Sciences, Accelerating Scientific Discovery

    SciTech Connect (OSTI)

    Beckman, Pete

    2009-01-01

    Argonne's new TCS building houses all of Argonne's computing divisions, and is designed to foster collaboration of the Manhattan Project model "Getting the best people together and having them work on a problem with singular determination." More at http://www.anl.gov/Media_Center/News/2009/tcs0910.html

  13. NERSC 2011: High Performance Computing Facility Operational Assessment for the National Energy Research Scientific Computing Center

    E-Print Network [OSTI]

    Antypas, Katie

    2013-01-01

    NERSC 2011 High Performance Computing Facility Operationalby providing high-performance computing, information, data,s deep knowledge of high performance computing to overcome

  14. 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.

  15. Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

    E-Print Network [OSTI]

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

    2014-10-10

    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. We report our experience on software porting, performance and energy efficiency and evaluate the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).

  16. Improving Energy Efficiency of GPU based General-Purpose Scientific Computing through

    E-Print Network [OSTI]

    Deng, Zhigang

    Improving Energy Efficiency of GPU based General-Purpose Scientific Computing through Automated challenge. In this paper, we propose a novel framework to improve the energy efficiency of GPU-based General configurations to improve the energy efficiency of any given GPGPU program. Through preliminary empirical

  17. A Taxonomy of Scientific Workflow Systems for Grid Computing Jia Yu and Rajkumar Buyya*

    E-Print Network [OSTI]

    Melbourne, University of

    1 A Taxonomy of Scientific Workflow Systems for Grid Computing Jia Yu and Rajkumar Buyya* Grid a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. The taxonomy not only highlights the design and engineering similarities and differences of state

  18. Spatial Aggregation for Qualitative Assessment of Scientific Computations Chris Bailey-Kellogg

    E-Print Network [OSTI]

    Ramakrishnan, Naren

    ) and kinematic mechanisms in configu- ration spaces (Joskowicz & Sacks 1991), scientific compu- tations are now a spatial aggregation approach that formalizes such analysis in terms of model selection utilizing spatial is in the analysis and "explaining away" of computations that may not be producing correct results. Such an approach

  19. Statistical physics of fracture: scientific discovery through high-performance computing

    E-Print Network [OSTI]

    Mills, Richard

    Statistical physics of fracture: scientific discovery through high-performance computing Phani. The paper presents the state-of-the-art algorithmic developments for simulating the fracture of disordered fracture of largest ever lattice system sizes (L = 1024 in 2D, and L = 64 in 3D) with extensive statistical

  20. Advances in HighPerformance Computing: Multigrid Methods for Partial Differential

    E-Print Network [OSTI]

    Wieners, Christian

    Advances in High­Performance Computing: Multigrid Methods for Partial Differential Equations feasable, advanced numerical methods in conjunction with High Performance Computing have to be applied and High Performance Computing on massively parallel MIMD machines is indispensable to reduce the computing

  1. 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.

  2. June 4, 2007 Advanced Fault Tolerance Solutions for High Performance Computing

    E-Print Network [OSTI]

    Engelmann, Christian

    June 4, 2007 Advanced Fault Tolerance Solutions for High Performance Computing Workshop on Trends Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Laboratory, Oak Solutions for High Performance Computing Workshop on Trends, Technologies and Collaborative Opportunities

  3. Editorial for Advanced Theory and Practice for High Performance Computing and Communications Geoffrey Fox

    E-Print Network [OSTI]

    Editorial for Advanced Theory and Practice for High Performance Computing and Communications Theory and Practice for High Performance Computing and Communications. I would like to thank Omer Rana International Conference on High Performance Computing and Communications (HPCC-09) http

  4. June 8, 2007 Advanced Fault Tolerance Solutions for High Performance Computing

    E-Print Network [OSTI]

    Engelmann, Christian

    June 8, 2007 Advanced Fault Tolerance Solutions for High Performance Computing Workshop on Trends Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Laboratory, Oak for High Performance Computing Workshop on Trends, Technologies and Collaborative Opportunities in High

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

    SciTech Connect (OSTI)

    Kissel, L

    2009-04-01

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

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

    SciTech Connect (OSTI)

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

    2008-10-07

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

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

    SciTech Connect (OSTI)

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

    2009-09-08

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

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

    SciTech Connect (OSTI)

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

    2010-04-22

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

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

    SciTech Connect (OSTI)

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

    2007-09-13

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

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

    SciTech Connect (OSTI)

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

    2008-04-30

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

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

    SciTech Connect (OSTI)

    Carnes, B

    2009-06-08

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

  12. 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 CAES by Boise State PI Janelle Wharry and Cory Dolph. PI Corey Dolph returned in early November to complete their research by performing nanoindentation on unirradiated specimens that will be used as a baseline for their research.

  13. A New Approach in Advance Network Reservation and Provisioning for High-Performance Scientific Data Transfers

    SciTech Connect (OSTI)

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

    2010-01-28

    Scientific applications already generate many terabytes and even petabytes of data from supercomputer runs and large-scale experiments. The need for transferring data chunks of ever-increasing sizes through the network shows no sign of abating. Hence, we need high-bandwidth high speed networks such as ESnet (Energy Sciences Network). Network reservation systems, i.e. ESnet's OSCARS (On-demand Secure Circuits and Advance Reservation System) establish guaranteed bandwidth of secure virtual circuits at a certain time, for a certain bandwidth and length of time. OSCARS checks network availability and capacity for the specified period of time, and allocates requested bandwidth for that user if it is available. If the requested reservation cannot be granted, no further suggestion is returned back to the user. Further, there is no possibility from the users view-point to make an optimal choice. We report a new algorithm, where the user specifies the total volume that needs to be transferred, a maximum bandwidth that he/she can use, and a desired time period within which the transfer should be done. The algorithm can find alternate allocation possibilities, including earliest time for completion, or shortest transfer duration - leaving the choice to the user. We present a novel approach for path finding in time-dependent networks, and a new polynomial algorithm to find possible reservation options according to given constraints. We have implemented our algorithm for testing and incorporation into a future version of ESnet?s OSCARS. Our approach provides a basis for provisioning end-to-end high performance data transfers over storage and network resources.

  14. Community petascale project for accelerator science and simulation: Advancing computational science for future accelerators and accelerator technologies

    E-Print Network [OSTI]

    Spentzouris, Panagiotis

    2008-01-01

    Architecture for High-Performance Scientific Computing Int J High Performance Computing Applications 20 163–202 [22] Bernholdt 2007 Center for Technology

  15. Mathematics Advice for: 1. Bachelor of Engineering, Bachelor of Advanced Computing, Bachelor of Software Engineering students

    E-Print Network [OSTI]

    of Software Engineering students Students who have completed ACT Maths Methods should read the followingMathematics Advice for: 1. Bachelor of Engineering, Bachelor of Advanced Computing, Bachelor

  16. MiniGhost : a miniapp for exploring boundary exchange strategies using stencil computations in scientific parallel computing.

    SciTech Connect (OSTI)

    Barrett, Richard Frederick; Heroux, Michael Allen; Vaughan, Courtenay Thomas

    2012-04-01

    A broad range of scientific computation involves the use of difference stencils. In a parallel computing environment, this computation is typically implemented by decomposing the spacial domain, inducing a 'halo exchange' of process-owned boundary data. This approach adheres to the Bulk Synchronous Parallel (BSP) model. Because commonly available architectures provide strong inter-node bandwidth relative to latency costs, many codes 'bulk up' these messages by aggregating data into a message as a means of reducing the number of messages. A renewed focus on non-traditional architectures and architecture features provides new opportunities for exploring alternatives to this programming approach. In this report we describe miniGhost, a 'miniapp' designed for exploration of the capabilities of current as well as emerging and future architectures within the context of these sorts of applications. MiniGhost joins the suite of miniapps developed as part of the Mantevo project.

  17. f you listen carefully you'll hear the rumblings of a true revolution in the making. Startling advances in computer graphics hardware are making it

    E-Print Network [OSTI]

    Hill, Gary

    advances in computer graphics hardware are making it possible for owners of ordinary desktop computers

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

    SciTech Connect (OSTI)

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

    2013-09-03

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

  19. A First Attempt to Bring Computational Biology into Advanced High School Biology Classrooms

    E-Print Network [OSTI]

    Goldberg, Debra S.

    Education A First Attempt to Bring Computational Biology into Advanced High School Biology Department of Computer Science, University of Colorado, Boulder, Colorado, United States of America, 2Boulder of a computational ele- ment in secondary biology classrooms is of growing concern to the computational biology

  20. Accepted Manuscript Title: Advanced computational tools for pem fuel cell design

    E-Print Network [OSTI]

    Djilali, Ned

    and water management problems in a fuel cell, in design and optimization, in guiding experimentalAccepted Manuscript Title: Advanced computational tools for pem fuel cell design ­ Part 1.C. Sui, S. Kumar, N. Djilali, Advanced computational tools for pem fuel cell design ­ Part 1: Development

  1. Imaging Science Physics Computer Science Photographic &

    E-Print Network [OSTI]

    Salvaggio, Carl

    Calculus Sequence Professional Communications Concepts of Computer Systems Intro to Computer Science Theory Advanced Principles of Photographic Technology Color Measurement Scientific Photography Fundamentals Devices Electromagnetic Fields and Transmission Lines Computer Program Solving for Engineers Mechatronics

  2. 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.

  3. NREL: Continuum Magazine - Computing Advances Enable More Efficient...

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

    Computers, apps, and visualization tools open up new possibilities to improve the energy performance of buildings. Computers are becoming ubiquitous devices in the United...

  4. CodingisCoolLevel2 More Advanced Techniques in Computer Science

    E-Print Network [OSTI]

    Barrash, Warren

    CodingisCool­Level2 More Advanced Techniques in Computer Science A Workshop for High School Students in Grades 11th-12th This two-day workshop introduces computer science principles using the Processing language. The workshop goes deeper into coding to illustrate some of the computer science

  5. EWEC 2006 Scientific Track Advanced Forecast Systems for the Grid Integration of 25 GW

    E-Print Network [OSTI]

    Heinemann, Detlev

    forecasts, smoothing effects Abstract The economic success of offshore wind farms in liberalised electricity of offshore wind farms, their electricity production must be known well in advance to allow an efficient Oldenburg, Germany Key words: Offshore wind power, grid integration, short-term prediction, regional

  6. Future Generation Computer Systems 16 (1999) 920 An extensible information model for shared scientific data collections

    E-Print Network [OSTI]

    Gupta, Amarnath

    1999-01-01

    scientific data collections Amarnath Gupta , Chaitanya Baru San Diego Supercomputer Center, University

  7. 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.

  8. The Center for Technology for Advanced Scientific Component Software (TASCS) Lawrence Livermore National Laboratory - Site Status Update

    SciTech Connect (OSTI)

    Epperly, T W

    2008-12-03

    This report summarizes LLNL's progress for the period April through September of 2008 for the Center for Technology for Advanced Scientific Component Software (TASCS) SciDAC. The TASCS project is organized into four major thrust areas: CCA Environment (72%), Component Technology Initiatives (16%), CCA Toolkit (8%), and User and Application Outreach & Support (4%). The percentage of LLNL's effort allocation is shown in parenthesis for each thrust area. Major thrust areas are further broken down into activity areas, LLNL's effort directed to each activity is shown in Figure 1. Enhancements, Core Tools, and Usability are all part of CCA Environment, and Software Quality is part of Component Technology Initiatives. The balance of this report will cover our accomplishments in each of these activity areas.

  9. Advanced Computing Initiative To Study Methods of Improving Fusion

    E-Print Network [OSTI]

    Cost of Fusion Reactor Well known that improving confinement & can lower Cost of Electricity / k: Several interesting innovative ideas being pursued to improve fusion power plants (advanced tokamaks, and to optimize power plants. Cost-effective way of preparing for next-step decisions, and help make the case

  10. Large Scale Production Computing and Storage Requirements for Advanced

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse Bergkamp Graduate studentScienceLaboratory programTargetScientific

  11. 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.

  12. 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.

  13. 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.

  14. Advanced Topics in Computer Security (3-1) Huffmire, Ted

    E-Print Network [OSTI]

    , Chapter 8] Survey with Timeline [Bacon 2007] 4 Quantum Computing Limitations [Aaronson 2008] Quantum Algorithms [Bacon 2010] 5 Quantum Key Distribution Quantum Money [Aaronson 2012] Quantum Networks [Elliott. URL: http://dl.acm.org/citation.cfm?id=2240258 [Bacon 2007] Dave Bacon and Debbie Leu

  15. CSE 872: Advanced Computer Graphics Fall Term 2014

    E-Print Network [OSTI]

    and by appointment, 1140 EB Textbooks: Fundamentals of Computer Graphics (2nd /3rd Edition), by Peter graphics class at the graduate level. The course mainly consists of lectures covering recent research or two individual project(s), present one paper related to a chosen research topic (as a team

  16. 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.

  17. 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 an aggregated scale of more than 1 MW, to provide grid support. Actual performance data with respect to each specified function above is to be collected during the Phase II field demonstration. At a minimum, the Phase II demonstration shall span one year of field operations. The demonstration performance will need to be validated by the target customer(s) for acceptance and subsequent implementation. An ISO must be involved in demonstration planning and execution. As part of the Phase II work, BPL Global shall develop a roadmap to commercialization that identifies and quantifies the potential markets for the integrated, aggregated DER systems and for the communication and control technologies demonstrated in Phase I. In addition, the roadmap must identify strategies and actions, as well as the regional and national markets where the aggregated DER systems with communication and control solutions will be introduced, along with a timeline projected for introduction into each identified market. In Phase I of this project, we developed a proof-of-concept ACCP system and architecture and began to test its functionality at real-world sites. These sites had just over 10 MW of DERs and allowed us to identify what needed to be done to commercialize this concept. As a result, we started Phase II by looking at our existing platform and identified its strengths and weaknesses as well as how it would need to evolve for commercialization. During this process, we worked with different stakeholders in the market including: Independent System Operators, DER owners and operators, and electric utility companies to fully understand the issues from all of the different perspectives. Once we had an understanding of the commercialized ACCP system, we began to document and prepare detailed designs of the different system components. The components of the system with the most significant design improvements were: the on-site remote terminal unit, the communication technology between the remote site and the data center, and the scalability and reliability of the data center application.

  18. 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.

  19. 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.

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

    E-Print Network [OSTI]

    2004-01-01

    International Thermonuclear Experimental Reactor (fusionThermonuclear Experimental Reactor (ITER) fusion experiment

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura BeaneCardwell,Production - EnergybyInnovationt he Aa

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery Act RecoveryTechnologies |Appliances

  3. Draft Workshop Report: 30 June 2004 Workshop on Advanced Computational Materials Science

    E-Print Network [OSTI]

    Gropp, Bill

    Summary The Workshop on Advanced Computational Materials Science: Application to Fusion and Generation IV and fission (Generation IV) reactors represents a significant challenge in materials science. There is a range power plants represent an even greater challenge to structural materials development and application

  4. 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.

  5. International Journal of Foundations of Computer Science c World Scientific Publishing Company

    E-Print Network [OSTI]

    Konstantinidis, Stavros

    ^AMPEANU Department of Computer Science and Information Technology, The University of Prince Edward Island, 550

  6. Creating science-driven computer architecture: A new path to scientific leadership

    E-Print Network [OSTI]

    2002-01-01

    computer architectures, thereby opening a sustainable patharchitecture, software, tools, algorithms, and libraries. In order to maintain a sustainable

  7. Attached Scientific Processors for Chemical Computations: A Report to the Chemistry Community

    E-Print Network [OSTI]

    Ostlund, Neil S.

    2012-01-01

    chemistry the AP-120B is better dedicated to the batch execution of long computationally intensive jobs.

  8. Computer Science Research on Scientific Discovery Ra'ul E. Vald'esP'erez

    E-Print Network [OSTI]

    Honavar, Vasant

    to automate creative tasks of scientific and mathematical inference. Perhaps the earliest examples (on, implemented as production systems, that provided plausible accounts of a number of dis­ coveries mostly from speaking, a model of anything in particular. In line with this goal, we invited working scientists who do

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

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

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

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

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

    SciTech Connect (OSTI)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

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

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

    SciTech Connect (OSTI)

    Biswas, Pratim; Al-Dahhan, Muthanna

    2012-11-01

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

  12. 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.

  13. Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing

    E-Print Network [OSTI]

    Hwu, Wen-mei W.

    are presented as challenges to the compiler and architecture research communities: to develop the technology Technical Report IMPACT-12-01 University of Illinois at Urbana-Champaign Center for Reliable and High computing applications useful for studying the performance of throughput computing architecture

  14. Creating science-driven computer architecture: A new path to scientific leadership

    SciTech Connect (OSTI)

    McCurdy, C. William; Stevens, Rick; Simon, Horst; Kramer, William; Bailey, David; Johnston, William; Catlett, Charlie; Lusk, Rusty; Morgan, Thomas; Meza, Juan; Banda, Michael; Leighton, James; Hules, John

    2002-10-14

    This document proposes a multi-site strategy for creating a new class of computing capability for the U.S. by undertaking the research and development necessary to build supercomputers optimized for science in partnership with the American computer industry.

  15. 0885-7474/02/1200-0351/0 2002 Plenum Publishing Corporation Journal of Scientific Computing, Vol. 17, Nos. 14, December 2002 ( 2002)

    E-Print Network [OSTI]

    Ilan, Boaz

    -Order Numerical Method G. Fibich,1 B. Ilan,1 and S. Tsynkov2 1 School of Mathematical Sciences, Tel Aviv, which is a much harder task from the standpoint of computing. The first numerical simulations based351 0885-7474/02/1200-0351/0 © 2002 Plenum Publishing Corporation Journal of Scientific Computing

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

    SciTech Connect (OSTI)

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

    2011-11-14

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

  17. Recommendations for Enhancing the U.S. Visa System to Advance America's Scientific and Economic Competitiveness and National Security Interests

    E-Print Network [OSTI]

    Knowles, David William

    Competitiveness and National Security Interests May 18, 2005 Following the terrorist attacks of September 11, 2001, national security, and higher education and scientific enterprises. These misperceptions must be dispelled, the U.S. government put in place new safeguards in the nation's visa system that made it extremely

  18. International Journal of Foundations of Computer Science c World Scientific Publishing Company

    E-Print Network [OSTI]

    Santoro, Nicola

    , Universit`a di Pisa, Pisa, Italy luccio@di.unipi.it and LINDA PAGLI Dipartimento di Informatica, Universit`a di Pisa, Pisa, Italy pagli@di.unipi.it and NICOLA SANTORO School of Computer science, Carleton

  19. "Almost all computer systems of the future will utilize real-time scientific

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    such as military surveillance, environmental science, and saving energy in buildings have all been investigated to develop large numbers of small smart components that combine computer power, wireless communication

  20. Massively parallel algorithms for method of characteristics neutral particle transport on shared memory computer architectures

    E-Print Network [OSTI]

    Boyd, William Robert Dawson, III

    2014-01-01

    Over the past 20 years, parallel computing has enabled computers to grow ever larger and more powerful while scientific applications have advanced in sophistication and resolution. This trend is being challenged, however, ...

  1. 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.

  2. INTERNATIONAL JOURNAL OF c 2004 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing and Information

    E-Print Network [OSTI]

    Ewing, Richard E.

    and Information Volume 1, Number 1, Pages 1­16 HIGH PERFORMANCE COMPUTING IN PETROLEUM APPLICATIONS RICHARD E in petroleum applications is to try to optimize the recovery of hydrocarbon from permeable underground the complex geomechanical, physical, and multiphase fluid flow processes that accompany the various recov- ery

  3. Spatial Aggregation for Qualitative Assessment of Scientific Computations Chris BaileyKellogg

    E-Print Network [OSTI]

    Ramakrishnan, Naren

    with phase portraits (Yip 1991) and kinematic mechanisms in configu­ ration spaces (Joskowicz & Sacks 1991 a spatial aggregation approach that formalizes such analysis in terms of model selection utilizing spatial is in the analysis and ``explaining away'' of computations that may not be producing correct results

  4. 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.

  5. An Ontology for Scientific Information in a Grid Environment: the Earth System Grid.

    E-Print Network [OSTI]

    Chervenak, Ann

    of interoperability, shared ontologies between different systems, and mappings of a domain ontology onto a service.S. Department of Energy Scientific Discovery through Advanced Computing (SciDAC) program. The Earth System GridAn Ontology for Scientific Information in a Grid Environment: the Earth System Grid. Line Pouchard

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

    SciTech Connect (OSTI)

    NONE

    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.

  7. 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.

  8. 56 SCIENTIFIC AMERICAN APRIL 2006 COPYRIGHT 2006 SCIENTIFIC AMERICAN, INC.

    E-Print Network [OSTI]

    Robins, Gabriel

    56 SCIENTIFIC AMERICAN APRIL 2006 COPYRIGHT 2006 SCIENTIFIC AMERICAN, INC. #12;www.sciam.com SCIENTIFIC AMERICAN 57 Computing with Quantum Knots uantum computers promise to perform calculations be- lieved to be impossible for ordinary computers. Some of those calculations are of great real-world

  9. Research Engineer in Scientific Computation at METEO FRANCE Encoding and migration of algorithms for the LSA SAF surface albedo and radiation flux products

    E-Print Network [OSTI]

    Research Engineer in Scientific Computation at METEO FRANCE Encoding and migration of algorithms. The primary task will consist of re-writing these codes as appropriate to improve their functionality, efficiency, and ease of use. A migration of existing C++ and FORTRAN codes to Python interfaces

  10. Gyrokinetic particle-in-cell simulations of plasma microturbulence on advanced computing platforms

    E-Print Network [OSTI]

    Lin, Zhihong

    's Office of Science 20-year science facility plan [1]. This plan provides a roadmap for future scientific

  11. 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.

  12. WORKSHOP ON COMPUTATIONAL SCIENCE

    E-Print Network [OSTI]

    as the overall scientific output is related to the computing capacity. High Performance Computing (HPC

  13. ACHI 2012, The Fifth International Conference on Advances in Computer-Human Interactions, January 30 -February 4, 2012 -Valencia, Spain User Experience: Buzzword or New Paradigm?

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the early days of ergonomics and HCI (Human- Computer Interaction), user experience really meant userACHI 2012, The Fifth International Conference on Advances in Computer-Human Interactions, January 30 - February 4, 2012 - Valencia, Spain User Experience: Buzzword

  14. Multivariate Analysis and Applications Today, due to advances in computers, massive amounts of data are collected. These

    E-Print Network [OSTI]

    Wehlau, David

    Multivariate Analysis and Applications Today, due to advances in computers, massive amounts of data to the large number of variables and the interrelated nature among these variables. Multivariate statistical of basic Multivariate Analysis such as multivariate mean and variance analysis, T-Hotelling, Multinormal

  15. Improved computational neutronics methods and validation protocols for the advanced test reactor

    SciTech Connect (OSTI)

    Nigg, D. W.; Nielsen, J. W.; Chase, B. M.; Murray, R. K.; Steuhm, K. A.; Unruh, T. [Idaho National Laboratory, 2525 Fremont Street, Idaho Falls, ID 83415-3870 (United States)

    2012-07-01

    The Idaho National Laboratory (INL) is in the process of updating the various reactor physics modeling and simulation tools used to support operation and safety assurance of the Advanced Test Reactor (ATR). Key accomplishments so far have encompassed both computational as well as experimental work. A new suite of stochastic and deterministic transport theory based reactor physics codes and their supporting nuclear data libraries (HELIOS, KENO6/SCALE, NEWT/SCALE, ATTILA, and an extended implementation of MCNP5) has been installed at the INL. Corresponding models of the ATR and ATRC are now operational with all five codes, demonstrating the basic feasibility of the new code packages for their intended purposes. On the experimental side of the project, new hardware was fabricated, measurement protocols were finalized, and the first four of six planned physics code validation experiments based on neutron activation spectrometry have been conducted at the ATRC facility. Data analysis for the first three experiments, focused on characterization of the neutron spectrum in one of the ATR flux traps, has been completed. The six experiments will ultimately form the basis for flexible and repeatable ATR physics code validation protocols that are consistent with applicable national standards. (authors)

  16. 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.

  17. 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.

  18. Laser Direct Drive: Scientific Advances,

    E-Print Network [OSTI]

    target physics: 2. Laser (most costly component) is modular 3. Separate components lower cost · Simpler targets & physics · Predict Fusion Class Gains (> 140) at lower laser energy (500 kJ - 1 MJ) #12 encourage competition. It leads to innovation and a better product. And leads to it faster KrF DPSSL #12

  19. Computational Physics on Graphics Processing Units

    E-Print Network [OSTI]

    Ari Harju; Topi Siro; Filippo Federici-Canova; Samuli Hakala; Teemu Rantalaiho

    2013-03-06

    The use of graphics processing units for scientific computations is an emerging strategy that can significantly speed up various different algorithms. In this review, we discuss advances made in the field of computational physics, focusing on classical molecular dynamics, and on quantum simulations for electronic structure calculations using the density functional theory, wave function techniques, and quantum field theory.

  20. Computational Physics on Graphics Processing Units

    E-Print Network [OSTI]

    Harju, Ari; Federici-Canova, Filippo; Hakala, Samuli; Rantalaiho, Teemu

    2012-01-01

    The use of graphics processing units for scientific computations is an emerging strategy that can significantly speed up various different algorithms. In this review, we discuss advances made in the field of computational physics, focusing on classical molecular dynamics, and on quantum simulations for electronic structure calculations using the density functional theory, wave function techniques, and quantum field theory.

  1. Huang and Nicol Journal of Cloud Computing: Advances, Systems and Applications 2013, 2:9 http://www.journalofcloudcomputing.com/content/2/1/9

    E-Print Network [OSTI]

    Chen, Ing-Ray

    Huang and Nicol Journal of Cloud Computing: Advances, Systems and Applications 2013, 2:9 http://www.journalofcloudcomputing.com/content/2/1/9 RESEARCH Open Access Trust mechanisms for cloud computing Jingwei Huang* and David M Nicol Abstract Trust is a critical factor in cloud computing; in present practice it depends largely

  2. Advances in Applied Mathematics and Mechanics Adv. Appl. Math. Mech., Vol. 5, No. 1, pp. 113-130

    E-Print Network [OSTI]

    Lu, Benzhuo

    , Institute of Computational Mathematics and Scientific/Engineering Computing, the National Center in electrostatic potential are small. In contrast to amount of work on the numerical computations of PNP equationsAdvances in Applied Mathematics and Mechanics Adv. Appl. Math. Mech., Vol. 5, No. 1, pp. 113

  3. The 11th International Conference of the International Association of Computer Methods and Advances in Geomechanics, Turin, Italy, June 19-21, 2005.

    E-Print Network [OSTI]

    Gracie, Robert

    in Geomechanics, Turin, Italy, June 19-21, 2005. An ALE FEM Model of Ice Scour I. Konuk Geological Survey Conference of the International Association of Computer Methods and Advances in Geomechanics, Turin, Italy

  4. 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...

  5. 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 that are transitioning to petascale as well as to produce software that facilitates their development, such as the MPICH library, which provides a portable and efficient implementation of the MPI standard--the prevalent programming model for large-scale scientific applications--and the PETSc toolkit that provides a programming paradigm that eases the development of many scientific applications on high-end computers.

  6. Hofschuster, W.; Kramer, W. C XSC 2.0 A C++ Class Library for Extended Scientific Computing

    E-Print Network [OSTI]

    Krämer, Walter

    in the field of interval mathematics occasionally called mathematical numerics1 ). C ­ XSC is implemented as a numerical class library in the programming language C++ . The speed of digital computers is ever increasing- pling mathematical fixed-point theorems. This means that these computations carry their own accuracy

  7. Advanced Computing: An International Journal ( ACIJ ), Vol.2, No.6, November 2011 DOI : 10.5121/acij.2011.2606 59

    E-Print Network [OSTI]

    Fernandez, Thomas

    , Information Technology RGPV, RGPV Khandwa India, Khandwa India arpitgsits17@gmail.com harshichouhan18nov@gmail.com *Electrical and Electronics, Computer Science RGPV, RGPV Khandwa India, Khandwa India aditi-label classification is the special case within statistical classification of assigning one of #12;Advanced Computing

  8. Breaking News Column: Texas a global leader in scientific innovation, research

    E-Print Network [OSTI]

    Chiao, Jung-Chih

    spirit that propels us forward in scientific advancements and technology breakthroughs. We attract world of innovations. For example, UT-Arlington, in conjunction with the Consortium for Nanomaterials for Aerospace will help bring Texas to the forefront nationally for computer-based modeling in energy, biology, physics

  9. Industrial Geometry: Recent Advances and Applications in CAD

    E-Print Network [OSTI]

    Pottmann, Helmut

    Industrial Geometry: Recent Advances and Applications in CAD H. Pottmann a, S. Leopoldseder a M, Austria bUniversity of Hong Kong, 421 Chow Yei Ching Bldg, Pokfulam Rd, Hong Kong Abstract Industrial Vision and Image Processing, Computer Graphics and Scientific Visualization. In this paper, Industrial

  10. 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.

  11. An Advanced Computational Scheme for the Optimization of 2D Radial Reflectors in Pressurized Water Reactors

    E-Print Network [OSTI]

    Thomas Clerc; Alain Hébert; Hadrien Leroyer; Jean-Philippe Argaud; Bertrand Bouriquet; Agélique Ponçot

    2014-05-12

    This paper presents a computational scheme for the determination of equivalent 2D multi-group heterogeneous reflectors in a Pressurized Water Reactor (PWR). The proposed strategy is to define a full-core calculation consistent with a reference lattice code calculation such as the Method Of Characteristics (MOC) as implemented in APOLLO2 lattice code. The computational scheme presented here relies on the data assimilation module known as "Assimilation de donn\\'{e}es et Aide \\`{a} l'Optimisation (ADAO)" of the SALOME platform developed at \\'{E}lectricit\\'{e} De France (EDF), coupled with the full-core code COCAGNE and with the lattice code APOLLO2. A first validation of the computational scheme is made using the OPTEX reflector model developed at \\'{E}cole Polytechnique de Montr\\'{e}al (EPM). As a result, we obtain 2D multi-group, spatially heterogeneous 2D reflectors, using both diffusion or $\\text{SP}_{\\text{N}}$ operators. We observe important improvements of the power discrepancies distribution over the core when using reflectors computed with the proposed computational scheme, and the $\\text{SP}_{\\text{N}}$ operator enables additional improvements.

  12. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    Computer Science and Artificial Intelligence Laboratory Technical Report massachusetts institute is a penultimate draft. The final version was published as a chapter in Machine Learning for Computer Vision (2012. Abstract In recent years, scientific and technological advances have produced artificial systems that have

  13. On the RadioFrequency Inputs in Dipolar Heating of Adhesives \\Lambda Center for Research in Scientific Computation

    E-Print Network [OSTI]

    computational challenge is to model and predict the heating of adhesives so that precise control algorithms canOn the Radio­Frequency Inputs in Dipolar Heating of Adhesives \\Lambda H.T. Banks Center­frequency (RF) or dielectric input expression in the heat equation which arises in the modeling of the curing

  14. Commnity Petascale Project for Accelerator Science and Simulation: Advancing Computational Science for Future Accelerators and Accelerator Technologies

    SciTech Connect (OSTI)

    Spentzouris, Panagiotis; /Fermilab; Cary, John; /Tech-X, Boulder; Mcinnes, Lois Curfman; /Argonne; Mori, Warren; /UCLA; Ng, Cho; /SLAC; Ng, Esmond; Ryne, Robert; /LBL, Berkeley

    2008-07-01

    The design and performance optimization of particle accelerators is 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 SciDAC1 Accelerator Science and Technology project, the SciDAC2 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 modeling. 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 multi-physics 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.

  15. Commnity Petascale Project for Accelerator Science And Simulation: Advancing Computational Science for Future Accelerators And Accelerator Technologies

    SciTech Connect (OSTI)

    Spentzouris, Panagiotis; /Fermilab; Cary, John; /Tech-X, Boulder; Mcinnes, Lois Curfman; /Argonne; Mori, Warren; /UCLA; Ng, Cho; /SLAC; Ng, Esmond; Ryne, Robert; /LBL, Berkeley

    2011-10-21

    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.

  16. 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.

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

    SciTech Connect (OSTI)

    Kung, Steven; Rapp, Robert

    2014-08-31

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

  18. Overlapping Computation and Communication for Advection on

    E-Print Network [OSTI]

    Dongarra, Jack

    and the Office of Advanced Scientific Computing Research, both of the US Department of Energy. This research used, both of which are supported by the Office of Science of the US Department of Energy. #12;Test Case Opteron clock (GHz) 2.6 2.1 2.3 2.6 Interconnect Cray SeaStar 2+ Cray Gemini DDR Infiniband QDR Infiniband

  19. 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.

  20. Global Scientific Information and Computing Center, Tokyo Institute of Technology Large-Scale GPU-Equipped High-Performance Compute Nodes

    E-Print Network [OSTI]

    Furui, Sadaoki

    .562 PFLOPS Total: 5.787 PFLOPS Memory: 116 TB Compute N (2 CPU 3 #12;SMX SMX SMX SMX SMX SMX SMX SMX PCI DVI PCI 8 NIC1 NIC2 16 Gen2 8 Gen2 4 Gen2QPI Intel Xeon X5670 ×2 CPU0 2 1 0 1 0 Tylersburg- 36D ESI 0 RJ45 Intelkawela 82576 PCI-E SLOT PCI-E SLOT PCI-E SLOT PCI-E SLOT GPU GPU GPU PCI-E Riser USB 6 SATA

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

    SciTech Connect (OSTI)

    Lee, Stephen R

    2010-01-01

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

  2. Design, Implementation and Performance of Exponential Integrators for High Performance Computing Applications

    E-Print Network [OSTI]

    Loffeld, John

    2013-01-01

    mathematics, high performance computing and computer science. Research interests: Scientific Computing, Numerical

  3. 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 oneˇŻs 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 applications of NEOTRANS2, indicate that nonlinear threshold-type, dose-response relationships for excess stochastic effects (problematic nonlethal mutations, neoplastic transformation) should be expected after exposure to low linear energy transfer (LET) gamma rays or gamma rays in combination with high-LET alpha radiation. Similar thresholds are expected for low-dose-rate low-LET beta irradiation. We attribute the thresholds to low-dose, low-LET radiation induced protection against spontaneous mutations and neoplastic transformations. The protection is presumed mainly to involve selective elimination of problematic cells via apoptosis. Low-dose, low-LET radiation is presumed to trigger wide-area cell signaling, which in turn leads to problematic bystander cells (e.g., mutants, neoplastically transformed cells) selectively undergoing apoptosis. Thus, this protective bystander effect leads to selective elimination of problematic cells (a tissue cleansing process in vivo). However, this protective bystander effects is a different process from low-dose stimulation of the immune system. Low-dose, low-LET radiation stimulation of the immune system may explain why thresholds for inducing excess cancer appear much larger (possibly more than 100-fold larger) than thresholds for inducing excess mutations and neoplastic transformations, when the dose rate is low. For ionizing radiation, the current risk assessment paradigm is such that the relative risk (RR) is always ˇÝ 1, no matter how small the dose. Our research results indicate that for low-dose or low-dose-rate, low-LET irradiation, RR < 1 may be more the rule than the exception. Directly tied to the current RR paradigm are the billion-dollar cleanup costs for radionuclide-contaminated DOE sites. Our research results suggest that continued use of the current RR paradigm for which RR ˇÝ 1 could cause more harm than benefit to society (e.g., by spreading unwarranted fear about phantom excess risks associated with low-dose low-LET radiation). Such phantom risks also may arise from risk assessments conducted for com

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Advanced Research Computing (www.arc.vt.edu) has an open graduate research assistant position for user support / help desk in support of High Performance Computing resources.

    E-Print Network [OSTI]

    for user support / help desk in support of High Performance Computing resources. The position begins environment Interest in High Performance Computing Motivation to work in a fastpaced, resultsoriented

  9. Presented by Scientific Computing Group

    E-Print Network [OSTI]

    · Viewing at a 30 ft 8 ft PowerWall · Cluster with GPUs for remote visualization Visualization and data

  10. Advancing Computer Systems without

    E-Print Network [OSTI]

    Hill, Mark D.

    to harvest Moore's Law HW/SW Specialization/Co-design (3-100x) Reduce SW Bloat (2-1000x) Approximate Hook & Graph o Research 1. HW and SW specialization and co-design 2. Reduce SW bloat 3. Approximate't be a surprise, but many are in denial · Both surprises hard, requiring "vertical cut" thru SW/HW 6 Approved

  11. advanced simulation and computing

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01 Sandia4) August 20123/%2A en46A NAME AND TITLE OFPart0/%2A0/%2A

  12. Advanced Simulation and Computing

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nuclear

  13. 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.

  14. Scientific Bio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of ScienceDiscoveredScientificScientific Bio

  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. Supercomputing | Computer Science | ORNL

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

    Resilience Engineering of Scientific Software Translation Quantum Computing Machine Learning Information Retrieval Content Tagging Visual Analytics Data Earth Sciences Energy...

  17. 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...

  18. The Digital Road to Scientific Knowledge Diffusion; A Faster...

    Office of Scientific and Technical Information (OSTI)

    of knowledge. In particular, it is important to understand whether advances in Internet searching can speed up the diffusion of scientific knowledge and accelerate...

  19. A comparative study of retrieval effectiveness from a scientific document database with computer-generated indexing and manually generated keyword-based indexing 

    E-Print Network [OSTI]

    Mishra, Jayanta Kumar

    1999-01-01

    The primary objective of this study was to examine the effectiveness of a full text indexing and retrieval system for a scientific document database. The secondary objective was to assess the completeness of the manual indexes that are already...

  20. 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.

  1. eUROPEAN nETWORK for aDVANCED cOMPUTING tECHNOLOGY for sCIENCE

    E-Print Network [OSTI]

    Farantos, Stavros C.

    on Grid Service Requirements (pp. 326) Report on High Performance Computing Development for the Next Network brings together High Performance Computing (HPC) Large Scale Facilities (LSF) funded by the DGXII

  2. Computational plasma physics Plasma physics is blossoming and flourishing. It is a very fertile research area, from both a scientific and technological

    E-Print Network [OSTI]

    Ebert, Ute

    , in general, computational plasma physics is a powerful alternative for experimental plasma research

  3. 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.

  4. Scientific Impact

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top Scientific Impact Since its inception over twenty

  5. The Platform for Advanced Scientific Computing (PASC) is inviting submissions for the Papers Session of its next conference (PASC16) to be held from June 8 to

    E-Print Network [OSTI]

    Center, located on the campus of the EPFL in Lausanne, Switzerland. The PASC Conference is a leading-chairs: Jan Hesthaven (EPF Lausanne, Switzerland), Nicola Marzari (EPF Lausanne, Switzerland), Olaf Schenk (Universitŕ della Svizzera ital- iana, Switzerland) and Laurent Villard (EPF Lausanne, Switzerland) · Papers

  6. The Greek Association of Computational Mechanics (GRACM), founded in 1991, represents a small but active scientific community in Greece. Being affiliated with

    E-Print Network [OSTI]

    Stavroulakis, Georgios E.

    a small but active scientific community in Greece. Being affiliated with the International Association, France G. A. Athanassoulis, NTUA, Greece C. Bekas, IBM, Zurich, Switzerland P. Chaviaropoulos, Center For Renewable Energy Sources (CRES), Greece V. Dougalis, Univ. Athens & IACM/FORTH, Greece D. Fotiadis, Univ

  7. Computer Science Computer Science?

    E-Print Network [OSTI]

    Cafarella, Michael J.

    -M Programming, U-M Solar Car, Hybrid Racing, and the Mars Rover Team. Other groups that advance societal good. Michigan Hackers: Experimenting with technology gEECS: Girls in electrical engineering and computer science

  8. 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.

  9. DOE Supercomputing Resources Available for Advancing Scientific

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratory | Department of EnergyofWASHINGTON,Washington,

  10. 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.

  11. 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.

  12. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT, J.

    2006-11-01

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

  13. 250 IEEE TRANSACTIONS ON ADVANCED PACKAGING, VOL. 27, NO. 2, MAY 2004 The SOP for Miniaturized, Mixed-Signal Computing,

    E-Print Network [OSTI]

    Huang, Zhaoran "Rena"

    250 IEEE TRANSACTIONS ON ADVANCED PACKAGING, VOL. 27, NO. 2, MAY 2004 The SOP for Miniaturized and consumer functions. The concept of system-on-package (SOP) originated in the mid-1990s at the NSF-funded Packaging Research Center at the Georgia Institute of Technology. This can be thought of as a conceptual

  14. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two...

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

    with Advanced Computing - Yousu Chen, PNNL Advancing the Adoption of High Performance Computing for Time Domain Simulation - Liang Min, LLNL, Carol Woodward, LLNL An...

  15. Advanced Engine Development | ornl.gov

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

    Advanced Engine Development High-performance computing accelerates advanced engine development July 11, 2014 Oak Ridge National Laboratory's (ORNL's) Dean Edwards and a...

  16. Opportunities for discovery: Theory and computation in Basic Energy Sciences

    SciTech Connect (OSTI)

    Harmon, Bruce; Kirby, Kate; McCurdy, C. William

    2005-01-11

    New scientific frontiers, recent advances in theory, and rapid increases in computational capabilities have created compelling opportunities for theory and computation to advance the scientific mission of the Office of Basic Energy Sciences (BES). The prospects for success in the experimental programs of BES will be enhanced by pursuing these opportunities. This report makes the case for an expanded research program in theory and computation in BES. The Subcommittee on Theory and Computation of the Basic Energy Sciences Advisory Committee was charged with identifying current and emerging challenges and opportunities for theoretical research within the scientific mission of BES, paying particular attention to how computing will be employed to enable that research. A primary purpose of the Subcommittee was to identify those investments that are necessary to ensure that theoretical research will have maximum impact in the areas of importance to BES, and to assure that BES researchers will be able to exploit the entire spectrum of computational tools, including leadership class computing facilities. The Subcommittee s Findings and Recommendations are presented in Section VII of this report.

  17. 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.

  18. Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit the following commentsMethodsCompositional6Energy Computers,Computing and

  19. Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit the following commentsMethodsCompositional6Energy Computers,Computing

  20. Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAuditsCluster Compatibilitydefault Changes TheComputeComputing

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

    SciTech Connect (OSTI)

    Cary, John R [U. Colorado

    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.

  2. 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,...

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

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

    2011 by Francesca Verdier (0 Comments) NERSC allocates 10% of the total MPP hours on our computational systems through the NERSC Initiative for Scientific Exploration (NISE)...

  4. Computer

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit the following commentsMethodsCompositional6 Computational CSEEnergy

  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. Parallel Processing Letters fc World Scientific Publishing Company

    E-Print Network [OSTI]

    Mavronicolas, Marios

    Parallel Processing Letters fc World Scientific Publishing Company THE PRICE OF ANARCHY of Computer Science, Electrical Engineering and Mathematics, University of Paderborn, D-33102 Paderborn, Germany § Department of Computer Science, University of Cyprus, Nicosia CY-1678, Cyprus Received (received

  7. 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.

  8. 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.

  9. Abstract: Coalescing stellar mass compact objects (binary neutron stars and black holes) are promising sources for the direct detection of gravitational waves by Advanced LIGO and Virgo in the next few years. Maximizing the scientific return from such a d

    E-Print Network [OSTI]

    Richmond, Michael W.

    ) are promising sources for the direct detection of gravitational waves by Advanced LIGO and Virgo in the next few of a centrifugally supported torus onto the central black hole. Neutron star mergers are also accompanied

  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. X-RAY POWDER DIFFRACTION (XPD-1) SCIENTIFIC SCOPE

    E-Print Network [OSTI]

    Ohta, Shigemi

    are implicated in novel electronic properties from high temperature superconductivity to high performance properties. SCIENTIFIC APPLICATIONS Nuclear Applications: · High throughput, combinatorial approach, unmanned storage, CO2 sequestration, advanced structural ceramics, catalysis, and materials processing. ENDSTATION

  12. 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.

  13. 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.

  14. 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...

  15. 2014 Advanced Grid Modeling Program Peer Review Presentations...

    Office of Environmental Management (EM)

    VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. 17 projects were...

  16. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two...

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

    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...

  17. 2014 Advanced Grid Modeling Peer Review Presentations - Day One...

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

    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...

  18. OCEAN DRILLING PROGRAM LEG 196 SCIENTIFIC PROSPECTUS

    E-Print Network [OSTI]

    OCEAN DRILLING PROGRAM LEG 196 SCIENTIFIC PROSPECTUS LOGGING WHILE DRILLING AND ADVANCED CORKS Deputy Director of Science Operations Ocean Drilling Program Texas A&M University 1000 Discovery Drive Scientist Ocean Drilling Program Texas A&M University 1000 Discovery Drive College Station TX 77845-9547 USA

  19. 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.

  20. Sandia Energy - Advanced Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >Scientific andInstituteAdvanced BitAdvanced

  1. 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.

  2. Computational Plasma Physicist (Theoretical Research, TRANSP...

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

    are seeking a person with strong technical knowledge of numerical analysis, parallel computing, software development, and large-scale scientific production computing in a physics...

  3. 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.

  4. 18.337J / 6.338J Applied Parallel Computing (SMA 5505), Spring 2005

    E-Print Network [OSTI]

    Edelman, Alan

    Applied Parallel Computing is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers.

  5. 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.

  6. The choice: evaluating and selecting scientific proposals

    E-Print Network [OSTI]

    Navarra, Antonio

    2015-01-01

    The selection process of proposals is a crucial component of scientific progress and innovations. Limited resources must be allocated in the most effective way to maximise advancements and the production of new knowledge, especially as it is becoming increasingly clear that technological and scientific innovation and creativity is an instrument of economic policy and social development. The traditional approach based on merit evaluation by experts has been the preferred method, but there is an issue regarding to what extent such a method can also be an instrument of effective policy. This paper discuss some of the basic processes involved in the evaluation and selection of proposals, indicating some criterion for an optimal solution.

  7. In: Advances in Modeling the Management of Stormwater Impacts, Volume 7. (Edited by W. James). Computational Hydraulics International, Guelph, Ontario and Lewis Publishers/CRC Press. 1999.

    E-Print Network [OSTI]

    Pitt, Robert E.

    ). Computational Hydraulics International, Guelph, Ontario and Lewis Publishers/CRC Press. 1999. Small Storm

  8. Advanced Research Compu2ng Parallel Programming with

    E-Print Network [OSTI]

    Crawford, T. Daniel

    Advanced Research Compu2ng Parallel Programming with MPI Advanced Research Computing #12;Advanced Research Compu2ng Advanced Research Compu2ng Outline · Message · Collec2ve Communica2on #12;Advanced Research Compu2ng Advanced Research Compu2ng 3

  9. 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.

  10. Multiscale Problems: Numerical Analysis and Scientific Computing

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    Underground Nuclear Longterm Disposal of Radioactive Waste Underground Reactor Safety: Neutron Diffusion/Transport

  11. Scientific Computing Kernels on the Cell Processor

    E-Print Network [OSTI]

    Williams, Samuel W.; Shalf, John; Oliker, Leonid; Kamil, Shoaib; Husbands, Parry; Yelick, Katherine

    2008-01-01

    Opteron. In terms of power, Cell performance is even morefrequency, bandwidth, and power as Cell. DENSE MATRIX-MATRIXconsumes about 30% more power than Cell guar- antees that

  12. CIS192 Python Programming Scientific Computing

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    , Logical And) Linear Algebra (Eigenvectors, Nullspace) Fourier Transforms, Statistical operations, RandomPy objects C style numeric types bool_ 1 byte bool int_ C long intc C int int8, int16, ..., int64 uint8, 1], dtype=np.bool_) Eric Kutschera (University of Pennsylvania) CIS 192 March 20, 2015 6 / 28 #12

  13. Berkeley Lab Computing Sciences: Accelerating Scientific Discovery

    E-Print Network [OSTI]

    Hules, John A

    2009-01-01

    Chemistry Fusion Energy Materials Science Accelerating Scienti?c Discovery High Energy Physics Nuclear Physics Visualization & Analytics

  14. NERSC National Energy Research Scientific Computing Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMissionStressMoveMuncriefB O N N E V

  15. National Energ y Research Scientific Computing Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolar Photovoltaic Solar Photovoltaic FindNational Electricity

  16. National Energy Research Scientific Computing Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolar Photovoltaic Solar Photovoltaic FindNational

  17. National Energy Research Scientific Computing Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolar Photovoltaic Solar Photovoltaic FindNational4 Annual Report Ernest

  18. Fermilab | Science | Particle Physics | Scientific Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find whatGasEnergyfeature photo

  19. National Energy Research Scientific Computing Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonforsupernovae model (Journal AboutContent Skip toNREL |

  20. National Energy Research Scientific Computing Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications The NRELDemonstrate

  1. 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 technologies. Dr. Hank Holey 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 Modeling and Simulation for Nuclear Reactors Hub, 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 Hub, which focuses on how to produce biofuels from sunlight, water, and carbon dioxide.

  2. Tallahassee Scientific Society

    E-Print Network [OSTI]

    Hill, Jeffrey E.

    Tallahassee Scientific Society HORIZONS 2015 THE TALLAHASSEE SCIENTIFIC SOCIETY PRESENTS A SPRING intriguing questions about the world's most feared marine predator from George "Dr. Shark" Burgess, director of the International Shark Attack File, the world's largest collection of information on shark attacks in the world

  3. Finding Algorithms in Scientific Articles Sumit Bhatia

    E-Print Network [OSTI]

    Giles, C. Lee

    Finding Algorithms in Scientific Articles Sumit Bhatia , Prasenjit Mitra and C. Lee Giles,giles}@ist.psu.edu ABSTRACT Algorithms are an integral part of computer science literature. How- ever, none of the current search engines offer specialized algorithm search facility. We describe a vertical search engine

  4. 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.

  5. Fault-Tolerant and Reliable Computation in Cloud Computing

    E-Print Network [OSTI]

    Deng, Jing

    Fault-Tolerant and Reliable Computation in Cloud Computing Jing Deng Scott C.-H. Huang Yunghsiang S, Taipei, 106 Taiwan. § Intelligent Automation, Inc., Rockville, MD, USA. Abstract-- Cloud computing of scientific computation in cloud computing. We investigate a cloud selection strategy to decompose the matrix

  6. 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.

  7. Advanced sensors

    SciTech Connect (OSTI)

    Elliot, T.C.

    1994-08-01

    This article examines how advances in sensor technology are beginning to close the gap with advances in other parts of the control and sensing loops; these advances are needed to more easily meet new EPA regulations and demand for more efficient power plant operation. Topics of the article include fiberoptic sensors, sensors for the air side of the plant, and water side sensors.

  8. 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 raised by researchers at the workshop.

  9. 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...

  10. 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 ...

  11. 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...

  12. Sandia Energy - Advanced Imaging

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >Scientific andInstituteAdvanced Bit

  13. 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...

  14. Computer Science & Engineering The Department of Computer Science & Engineering at the

    E-Print Network [OSTI]

    Zhou, Shengli

    Computer Science & Engineering The Department of Computer Science & Engineering at the University # Students 10 undergraduates Prequisites Background in computing or biological science and interest in both-Grid Computing. The initiatives aim at advancing the application of modern computing infrasutrcture

  15. 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...

  16. 2006 Florida Conference on Recent Advances in Robotics, FCRAR 2006 Miami, Florida, May 25-26, 2006 Hands-Free Manipulation of the Computer Cursor Based

    E-Print Network [OSTI]

    Barreto, Armando

    -26, 2006 Hands-Free Manipulation of the Computer Cursor Based on the Electromyogram Craig A. Chin-free manipulation of the computer cursor. The goal of the system is to enable the user to step the cursor in two directions: horizontally (left and right) and vertically (up and down). In addition, the system allows

  17. The Advanced Compton Telescope Mission

    E-Print Network [OSTI]

    Steven E. Boggs; James Kurfess; James Ryan; Elena Aprile; Neil Gehrels; Marc Kippen; Mark Leising; Uwe Oberlack; Cornelia Wunderer; Allen Zych; Peter Bloser; Michael Harris; Andrew Hoover; Alexei Klimenk; Dan Kocevski; Mark McConnell; Peter Milne; Elena I. Novikova; Bernard Phlips; Mark Polsen; Steven Sturner; Derek Tournear; Georg Weidenspointner; Eric Wulf; Andreas Zoglauer; Matthew Baring; John Beacom; Lars Bildsten; Charles Dermer; Dieter Hartmann; Margarita Hernanz; David Smith; Sumner Starrfield; for the larger ACT collaboration

    2006-08-24

    The Advanced Compton Telescope (ACT), the next major step in gamma-ray astronomy, will probe the fires where chemical elements are formed by enabling high-resolution spectroscopy of nuclear emission from supernova explosions. During the past two years, our collaboration has been undertaking a NASA mission concept study for ACT. This study was designed to (1) transform the key scientific objectives into specific instrument requirements, (2) to identify the most promising technologies to meet those requirements, and (3) to design a viable mission concept for this instrument. We present the results of this study, including scientific goals and expected performance, mission design, and technology recommendations.

  18. An Autonomous Reliabilit Cloud Comput

    E-Print Network [OSTI]

    Buyya, Rajkumar

    An Autonomous Reliabilit Ami Cloud Comput Department of Computing and Informa Abstract--Cloud computing paradigm allo based access to computing and storages s Internet. Since with advances of Cloud. Keywords- Cloud computing; SLA negotiat I. INTRODUCTION Cloud computing has transferred the services

  19. Can Cloud Computing Address the Scientific Computing Requirements for DOE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &BradburyMay 1, 2013,Cafe Scientifique Cafe4CallResearchers? Well,

  20. 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.

  1. Enabling Scientific Workflow Reuse through Structured Composition of Dataflow and Control-Flow

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    -flow without sacrificing the benefits of dataflow. We illustrate our approach with a real-world scientific workEnabling Scientific Workflow Reuse through Structured Composition of Dataflow and Control of Computer Science Texas State University-San Marcos Terence Critchlow Center for Applied Scientific

  2. A Component Approach to Collaborative Scientific Software Development: Tools and Techniques Utilized by the Quantum Chemistry Science Application Partnership

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

    Kenny, Joseph P.; Janssen, Curtis L.; Gordon, Mark S.; Sosonkina, Masha; Windus, Theresa L.

    2008-01-01

    Cutting-edge scientific computing software is complex, increasingly involving the coupling of multiple packages to combine advanced algorithms or simulations at multiple physical scales. Component-based software engineering (CBSE) has been advanced as a technique for managing this complexity, and complex component applications have been created in the quantum chemistry domain, as well as several other simulation areas, using the component model advocated by the Common Component Architecture (CCA) Forum. While programming models do indeed enable sound software engineering practices, the selection of programming model is just one building block in a comprehensive approach to large-scale collaborative development which must also addressmore »interface and data standardization, and language and package interoperability. We provide an overview of the development approach utilized within the Quantum Chemistry Science Application Partnership, identifying design challenges, describing the techniques which we have adopted to address these challenges and highlighting the advantages which the CCA approach offers for collaborative development.« less

  3. 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.

  4. Army High Performance Computing Research Center

    E-Print Network [OSTI]

    Prinz, Friedrich B.

    Army High Performance Computing Research Center Applying advanced computational science research challenges http://me.stanford.edu/research/centers/ahpcrc #12;Army High Performance Computing challenges http://me.stanford.edu/research/centers/ahpcrc #12;Army High Performance Computing Research

  5. Recording Scientific Knowledge

    SciTech Connect (OSTI)

    Bowker, Geof (Santa Clara University) [Santa Clara University

    2006-01-09

    The way we record knowledge, and the web of technical, formal, and social practices that surrounds it, inevitably affects the knowledge that we record. The ways we hold knowledge about the past - in handwritten manuscripts, in printed books, in file folders, in databases - shape the kind of stories we tell about that past. In this talk, I look at how over the past two hundred years, information technology has affected the nature and production of scientific knowledge. Further, I explore ways in which the emergent new cyberinfrastructure is changing our relationship to scientific practice.

  6. Scientific Data Movement

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of ScienceDiscoveredScientificScientific BioData

  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

    Since the dawn of modern electronic computing in the mid 1940's, U.S. national security programs have been dominant users of every new generation of high-performance computer. Indeed, the first general-purpose electronic computer, ENIAC (the Electronic Numerical Integrator and Computer), was used to calculate the expected explosive yield of early thermonuclear weapons designs. Even the U. S. numerical weather prediction program, another early application for high-performance computing, was initially funded jointly by sponsors that included the U.S. Air Force and Navy, agencies interested in accurate weather predictions to support U.S. military operations. For the decades of the cold war, national security requirements continued to drive the development of high performance computing (HPC), including advancement of the computing hardware and development of sophisticated simulation codes to support weapons and military aircraft design, numerical weather prediction as well as data-intensive applications such as cryptography and cybersecurity U.S. national security concerns continue to drive the development of high-performance computers and software in the U.S. and in fact, events following the end of the cold war have driven an increase in the growth rate of computer performance at the high-end of the market. This mainly derives from our nation's observance of a moratorium on underground nuclear testing beginning in 1992, followed by our voluntary adherence to the Comprehensive Test Ban Treaty (CTBT) beginning in 1995. The CTBT prohibits further underground nuclear tests, which in the past had been a key component of the nation's science-based program for assuring the reliability, performance and safety of U.S. nuclear weapons. In response to this change, the U.S. Department of Energy (DOE) initiated the Science-Based Stockpile Stewardship (SBSS) program in response to the Fiscal Year 1994 National Defense Authorization Act, which requires, 'in the absence of nuclear testing, a progam to: (1) Support a focused, multifaceted program to increase the understanding of the enduring stockpile; (2) Predict, detect, and evaluate potential problems of the aging of the stockpile; (3) Refurbish and re-manufacture weapons and components, as required; and (4) Maintain the science and engineering institutions needed to support the nation's nuclear deterrent, now and in the future'. This program continues to fulfill its national security mission by adding significant new capabilities for producing scientific results through large-scale computational simulation coupled with careful experimentation, including sub-critical nuclear experiments permitted under the CTBT. To develop the computational science and the computational horsepower needed to support its mission, SBSS initiated the Accelerated Strategic Computing Initiative, later renamed the Advanced Simulation & Computing (ASC) program (sidebar: 'History of ASC Computing Program Computing Capability'). The modern 3D computational simulation capability of the ASC program supports the assessment and certification of the current nuclear stockpile through calibration with past underground test (UGT) data. While an impressive accomplishment, continued evolution of national security mission requirements will demand computing resources at a significantly greater scale than we have today. In particular, continued observance and potential Senate confirmation of the Comprehensive Test Ban Treaty (CTBT) together with the U.S administration's promise for a significant reduction in the size of the stockpile and the inexorable aging and consequent refurbishment of the stockpile all demand increasing refinement of our computational simulation capabilities. Assessment of the present and future stockpile with increased confidence of the safety and reliability without reliance upon calibration with past or future test data is a long-term goal of the ASC program. This will be accomplished through significant increases in the scientific bases that underlie the computational tools. Computer codes must be de

  8. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT,J.

    2004-11-01

    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.

  9. John R. Gilbert Professor of Computer Science

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    John R. Gilbert Professor of Computer Science University of California, Santa Barbara John Gilbert received his Ph.D. in Computer Science from Stanford in 1981. From 1981 to 1988 he was on the Computer Scientific Computing Laboratory in the Computer Science Department and the Computational Science

  10. Computing Sciences Director's Review Vision and Strategy

    E-Print Network [OSTI]

    Distributed Systems Department National Energy Research Scientific Computing Division and Information Power generation space shuttle, etc. Scientific data analysis and computational modeling with a world-wide scope of participants ­ e.g. High Energy Physics data analysis #12;5 Computing Sciences Director's Review Applications

  11. Computing Sciences Director's Review Vision and Strategy

    E-Print Network [OSTI]

    Distributed Systems Department National Energy Research Scientific Computing Division and Information Power shuttle, etc. Scientific data analysis and computational modeling with a world-wide scope of participants ­ e.g. High Energy Physics data analysis #12;5 Computing Sciences Director's Review Applications Real

  12. SCIENTIFIC EVIDENCE GLOBAL WARMING

    E-Print Network [OSTI]

    Schwartz, Stephen E.

    SCIENTIFIC EVIDENCE FOR GLOBAL WARMING Stephen E. Schwartz Jefferson's Ferry Public Affairs century. The warmest year of the millennium was 1998. #12;EVIDENCE OF GLOBAL WARMING OTHER THAN SURFACE TEMPERATURE ANOMALY The global ocean has warmed significantly since the late 1940s: more than half

  13. Publications New NMFS Scientific

    E-Print Network [OSTI]

    as the surface water layer formed, consisting of declining nutrient gra- dients from below the euphotic layer to the top of the water column. These intergrading nutrient environments are relatively stable through timePublications New NMFS Scientific Reports Published Some publications listed below may be sold

  14. Publications NMFS Scientific

    E-Print Network [OSTI]

    Publications NMFS Scientific Reports Published as a flavor in fish from oil pickup. Copies may the seasonal distribution of wind stress over the California Cur- rent. Off the coasts of southern California the coast. NOAA Technical Report NMFS SSRF-713. Straty, Richard R. "Cur- rent patterns and distribution

  15. Cinematic Scientific Visualizations 

    E-Print Network [OSTI]

    Litaker, Kendall R

    2013-05-21

    is applied to the test cases of a nebula, star-forming region Sharpless 2-106, and a galaxy, Messier 51, or the Whirlpool Galaxy. The results of this thesis demonstrate the visual, scientific, and technical success of this solution. The code developed during...

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

    Office of Scientific and Technical Information (OSTI)

    things the next 50 years will bring? One thing is for sure: equipped with state-of-the-art facilities and an advanced suite of scientific tools and expertise, SLAC is poised to...

  17. 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.

  18. Advanced Combustion

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsicloudden DocumentationAccommodationsRegister /Advanced Energy Systems Advanced

  19. CERFACS Scientific Activity Report Jan. 2006 Dec. 2007

    E-Print Network [OSTI]

    Climate Modelling 79 1 Introduction 81 2 Climate variability and predictability 82 3 Climate change Formation Avanc´ee en Calcul Scientifique European Center for Research and Advanced Training in Scientific 30 8 Publications 38 2 Data Assimilation 43 1 Introduction 45 2 Data assimilation for oceanography 46

  20. Case for Scientific Realism 9 A Case for Scientific Realism

    E-Print Network [OSTI]

    Fitelson, Branden

    Case for Scientific Realism 9 A Case for Scientific Realism Ernan McMullin When Galileo argued as central to scientific explanati&. In a'retroduction, the scientist proposes a model whose properties allow to believe that the world actually contains entities corresponding to them. The near-invincible belief

  1. 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.

  2. #WomenInSTEM: A Physicist Focuses on Scientific Advancement

    Broader source: Energy.gov [DOE]

    Our latest #WomenInSTEM highlights the work of Angela Capece -- a physicist at Princeton Plasma Physics Laboratory.

  3. #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.

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

    Office of Scientific and Technical Information (OSTI)

    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,...

  5. #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.

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

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

    Princeton Plasma Physics Laboratory; Sandia National Laboratories; Stanford Linear Accelerator Center; and Thomas Jefferson National Accelerator Facility. Universities...

  7. Sandia Energy - Helping Advance the Scientific Foundation that Enables

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen GenerationTechnologiesEnergyGeoscience HomeGrid

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnect Collidertransfer (Journal Article) |Programs of Science at

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing BacteriaConnect Collidertransfer (Journal Article) |Programs of Science atLetter

  10. Advanced Test Reactor National Scientific User Facility: Addressing

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563Abuse Tolerance(Conference) |stabilized by(Conference)

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment ofOffice|in theLegislative Documents USU.S.Departmentweb site2009 |

  12. Computer Science Page 91Sonoma State University 2014-2015 Catalog COMPUTER SCIENCE

    E-Print Network [OSTI]

    Ravikumar, B.

    Computer Science Page 91Sonoma State University 2014-2015 Catalog COMPUTER SCIENCE DEPARTMENT Suzanne Rivoire Lynn Stauffer Tia Watts Programs Offered Bachelor of Science in Computer Science Minor in Computer Science Computer science is the scientific study of computing devices, the software that drives

  13. Bioinformatics Computing Consultant Position Available

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

    exploit advanced computing platforms. JGI provides production sequencing and genomics for the Department of Energy. These activities are critical to the DOE missions in...

  14. Energy Smart Management of Scientific Data

    SciTech Connect (OSTI)

    Otoo, Ekow; Rotem, Dron; Tsao, Shih-Chiang

    2009-04-12

    Scientific data centers comprised of high-powered computing equipment and large capacity disk storage systems consume considerable amount of energy. Dynamic power management techniques (DPM) are commonly used for saving energy in disk systems. These involve powering down disks that exhibit long idle periods and placing them in standby mode. A file request from a disk in standby mode will incur both energy and performance penalties as it takes energy (and time) to spin up the disk before it can serve a file. For this reason, DPM has to make decisions as to when to transition the disk into standby mode such that the energy saved is greater than the energy needed to spin it up again and the performance penalty is tolerable. The length of the idle period until the DPM decides to power down a disk is called idlenessthreshold. In this paper, we study both analytically and experimentally dynamic power management techniques that save energy subject to performance constraints on file access costs. Based on observed workloads of scientific applications and disk characteristics, we provide a methodology for determining file assignment to disks and computing idleness thresholds that result in significant improvements to the energy saved by existing DPMsolutions while meeting response time constraints. We validate our methods with simulations that use traces taken from scientific applications.

  15. 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.

  16. Wikimedia as a platform for scientific information

    E-Print Network [OSTI]

    CERN. Geneva

    2012-01-01

    During this presentation the topics that will touched upon include various ways in which wikis are being used in scientific research and publishing, currently, as well as some that are more speculative. Many of the examples are drawn from the biological sciences, and the talk is intended to stimulate debate as to how the physics community - and CERN in particular - can enhance its interaction with the Wikimedia community, or via Wikimedia with the public at large. For instance: PLOS Computational Biology Topic Pages Wodak SJ, Mietchen D, Collings AM, Russell RB, Bourne PE (2012) "Topic Pages: PLoS Computational Biology Meets Wikipedia". PLoS Comput Biol 8(3): e1002446 Open Access Media Importer A proposed Wiki Journal, a peer-review journal to encourage academics to contribute Wikipedia articles Encyclopedia of Original Research and JATS-to-MediaWiki The Gene Wiki Wikigenes Wikis in Scholarly Publishing The Journal of the Future His talk is being draft...

  17. Scientific Advisory Committee

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatricNOAA MAY 2013FebruaryandShowScientific

  18. Scientific Advisory Committee

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of ScienceDiscovered theAnalyticalScientific

  19. Scientific Advisory Committee

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of ScienceDiscoveredScientific Advisory Committee

  20. Scientific poster example

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice ofTorus Experiment | PrincetonScientific2-000

  1. 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.

  2. Load Balancing Scientific Applications 

    E-Print Network [OSTI]

    Pearce, Olga

    2014-12-08

    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...

  3. 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.

  4. 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.

  5. JT-60 Modification Plan for Long Pulse Advanced Tokamak Research

    E-Print Network [OSTI]

    JT-60 Modification Plan for Long Pulse Advanced Tokamak Research Colloquium of Max Planck Institute as one step to DEMO · Advanced tokamak researches · Scientific achievements of JT-60 and its phase Tokamak Commercializa tion pease JT-60 Decision system of prototype reactor Electricity Generation

  6. Applied Computer Science

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

    McPherson, Team Leader The Co-Design and Advance Architectures team concentrates on the optimization of entire computing systems--from the application to the hardware. We use an...

  7. 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).

  8. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16

    GeoComputational Intelligence and High-performance Geospatial Computing Qingfeng (Gene) Guan, Ph.D Center for Advanced Land Management Information Technologies School of Natural Resources University of Nebraska - Lincoln GIS Day @ University... of Kansas Nov. 16th, 2011 Contents 1. Computational Science and GeoComputation 2. GeoComputational Intelligence - ANN-based Urban-CA model 3. High-performance Geospatial Computing - Parallel Geostatistical Areal Interpolation - pRPL and pSLEUTH 4. Conclusion...

  9. Typologies of Computation and Computational Models

    E-Print Network [OSTI]

    Mark Burgin; Gordana Dodig-Crnkovic

    2013-12-09

    We need much better understanding of information processing and computation as its primary form. Future progress of new computational devices capable of dealing with problems of big data, internet of things, semantic web, cognitive robotics and neuroinformatics depends on the adequate models of computation. In this article we first present the current state of the art through systematization of existing models and mechanisms, and outline basic structural framework of computation. We argue that defining computation as information processing, and given that there is no information without (physical) representation, the dynamics of information on the fundamental level is physical/ intrinsic/ natural computation. As a special case, intrinsic computation is used for designed computation in computing machinery. Intrinsic natural computation occurs on variety of levels of physical processes, containing the levels of computation of living organisms (including highly intelligent animals) as well as designed computational devices. The present article offers a typology of current models of computation and indicates future paths for the advancement of the field; both by the development of new computational models and by learning from nature how to better compute using different mechanisms of intrinsic computation.

  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. September is Scientific Supercomputing Month

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

    research. How has this investment benefitted you? Let us count the ways This month, DOE is celebrating scientific supercomputing. So over the next four Mondays, we will...

  12. ALS Scientific Advisory Committee Charter

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

    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...

  13. 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.

  14. 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.

  15. ANU College of Engineering and Computer Science

    E-Print Network [OSTI]

    Zhou, Xiangyun "Sean"

    ANU College of Engineering and Computer Science CRICOS Provider Number 00120C Appendix B: Computing AND COMPUTER SCIENCE Taylor's Program ANU Program ANU Credits/Status Special Notes Bachelor of Software of Advanced Computing (Honours) 96 units of status Bachelor of Computer Science (Hons) (Computer Security

  16. Appendix A: Scientific Framework Appendix A: Scientific Framework

    E-Print Network [OSTI]

    The scientific framework and the hatchery review approach used in the APRE process is based on the work products of the Hatchery Scientific Review Group (HSRG). These work products and the background on the HSRG project Collection The proportion of the spawners brought into the hatchery should follow a "spread-the-risk

  17. Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG &

    E-Print Network [OSTI]

    Puglisi, Joseph

    for a wide variety of scientific and clinical research positions. KSR is a trusted career advisor, guiding is a $92 Billion Dollar Industry Customer Uses for an Agencyg y · Strictly Head Count · Special Projects staffing supplier in the world * ­ Recruiting Scientific and Clinical Research professionals since 1995

  18. 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...

  19. 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 &...

  20. New classes of magnetoelectric materials promise advances in...

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

    classes of magnetoelectric materials promise advances in computing technology By Jared Sagoff * February 7, 2013 Tweet EmailPrint ARGONNE, Ill. - Although scientists have been...

  1. Uncertainty Analyses of Advanced Fuel Cycles

    SciTech Connect (OSTI)

    Laurence F. Miller; J. Preston; G. Sweder; T. Anderson; S. Janson; M. Humberstone; J. MConn; J. Clark

    2008-12-12

    The Department of Energy is developing technology, experimental protocols, computational methods, systems analysis software, and many other capabilities in order to advance the nuclear power infrastructure through the Advanced Fuel Cycle Initiative (AFDI). Our project, is intended to facilitate will-informed decision making for the selection of fuel cycle options and facilities for development.

  2. 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 a section that describes efforts already underway or planned at NERSC that address requirements collected at the workshop. NERSC has many initiatives in progress that address key workshop findings and are aligned with NERSC's strategic plans.

  3. Sandia Energy - Advanced Bit Development

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >Scientific andInstituteAdvanced Bit Development Home

  4. Sandia Energy - Advanced Materials Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >Scientific andInstituteAdvanced

  5. Computer Assisted Parallel Program Generation

    E-Print Network [OSTI]

    Kawata, Shigeo

    2015-01-01

    Parallel computation is widely employed in scientific researches, engineering activities and product development. Parallel program writing itself is not always a simple task depending on problems solved. Large-scale scientific computing, huge data analyses and precise visualizations, for example, would require parallel computations, and the parallel computing needs the parallelization techniques. In this Chapter a parallel program generation support is discussed, and a computer-assisted parallel program generation system P-NCAS is introduced. Computer assisted problem solving is one of key methods to promote innovations in science and engineering, and contributes to enrich our society and our life toward a programming-free environment in computing science. Problem solving environments (PSE) research activities had started to enhance the programming power in 1970's. The P-NCAS is one of the PSEs; The PSE concept provides an integrated human-friendly computational software and hardware system to solve a target ...

  6. High Availability for High-End Scientific A Dissertation

    E-Print Network [OSTI]

    Engelmann, Christian

    High Availability for High-End Scientific Computing A Dissertation Submitted In Partial Fulfilment in the area of high availability is essential to meet the needs to sustain the current growth. This thesis introduces a new approach to high availability which focuses on the head node of a cluster system

  7. Advanced LIGO

    E-Print Network [OSTI]

    The LIGO Scientific Collaboration

    2014-11-17

    The Advanced LIGO gravitational wave detectors are second generation instruments designed and built for the two LIGO observatories in Hanford, WA and Livingston, LA. The two instruments are identical in design, and are specialized versions of a Michelson interferometer with 4 km long arms. As in initial LIGO, Fabry-Perot cavities are used in the arms to increase the interaction time with a gravitational wave, and power recycling is used to increase the effective laser power. Signal recycling has been added in Advanced LIGO to improve the frequency response. In the most sensitive frequency region around 100 Hz, the design strain sensitivity is a factor of 10 better than initial LIGO. In addition, the low frequency end of the sensitivity band is moved from 40 Hz down to 10 Hz. All interferometer components have been replaced with improved technologies to achieve this sensitivity gain. Much better seismic isolation and test mass suspensions are responsible for the gains at lower frequencies. Higher laser power, larger test masses and improved mirror coatings lead to the improved sensitivity at mid- and high- frequencies. Data collecting runs with these new instruments are planned to begin in mid-2015.

  8. Legacy Computing Markup Language (LCML) and LEGEND -- LEGacy Encapsulation for Network Distribution

    E-Print Network [OSTI]

    Geiger, Stephen Kurt

    2004-01-01

    The rapid increase of computing power and emergence of distributed computing technologies such as Grid computing create new opportunities for scientific computing. One of the challenges faced in harnessing the emerging ...

  9. Advanced Materials | ORNL

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

    Specific Binding ORNL discovery holds potential for separations, sensors, batteries, biotech and more Home | Science & Discovery | Advanced Materials Advanced Materials |...

  10. 2011 Computation Directorate Annual Report

    SciTech Connect (OSTI)

    Crawford, D L

    2012-04-11

    From its founding in 1952 until today, Lawrence Livermore National Laboratory (LLNL) has made significant strategic investments to develop high performance computing (HPC) and its application to national security and basic science. Now, 60 years later, the Computation Directorate and its myriad resources and capabilities have become a key enabler for LLNL programs and an integral part of the effort to support our nation's nuclear deterrent and, more broadly, national security. In addition, the technological innovation HPC makes possible is seen as vital to the nation's economic vitality. LLNL, along with other national laboratories, is working to make supercomputing capabilities and expertise available to industry to boost the nation's global competitiveness. LLNL is on the brink of an exciting milestone with the 2012 deployment of Sequoia, the National Nuclear Security Administration's (NNSA's) 20-petaFLOP/s resource that will apply uncertainty quantification to weapons science. Sequoia will bring LLNL's total computing power to more than 23 petaFLOP/s-all brought to bear on basic science and national security needs. The computing systems at LLNL provide game-changing capabilities. Sequoia and other next-generation platforms will enable predictive simulation in the coming decade and leverage industry trends, such as massively parallel and multicore processors, to run petascale applications. Efficient petascale computing necessitates refining accuracy in materials property data, improving models for known physical processes, identifying and then modeling for missing physics, quantifying uncertainty, and enhancing the performance of complex models and algorithms in macroscale simulation codes. Nearly 15 years ago, NNSA's Accelerated Strategic Computing Initiative (ASCI), now called the Advanced Simulation and Computing (ASC) Program, was the critical element needed to shift from test-based confidence to science-based confidence. Specifically, ASCI/ASC accelerated the development of simulation capabilities necessary to ensure confidence in the nuclear stockpile-far exceeding what might have been achieved in the absence of a focused initiative. While stockpile stewardship research pushed LLNL scientists to develop new computer codes, better simulation methods, and improved visualization technologies, this work also stimulated the exploration of HPC applications beyond the standard sponsor base. As LLNL advances to a petascale platform and pursues exascale computing (1,000 times faster than Sequoia), ASC will be paramount to achieving predictive simulation and uncertainty quantification. Predictive simulation and quantifying the uncertainty of numerical predictions where little-to-no data exists demands exascale computing and represents an expanding area of scientific research important not only to nuclear weapons, but to nuclear attribution, nuclear reactor design, and understanding global climate issues, among other fields. Aside from these lofty goals and challenges, computing at LLNL is anything but 'business as usual.' International competition in supercomputing is nothing new, but the HPC community is now operating in an expanded, more aggressive climate of global competitiveness. More countries understand how science and technology research and development are inextricably linked to economic prosperity, and they are aggressively pursuing ways to integrate HPC technologies into their native industrial and consumer products. In the interest of the nation's economic security and the science and technology that underpins it, LLNL is expanding its portfolio and forging new collaborations. We must ensure that HPC remains an asymmetric engine of innovation for the Laboratory and for the U.S. and, in doing so, protect our research and development dynamism and the prosperity it makes possible. One untapped area of opportunity LLNL is pursuing is to help U.S. industry understand how supercomputing can benefit their business. Industrial investment in HPC applications has historically been limited by the prohibitive cost of entry

  11. Acquisition of Scientific Equipment

    SciTech Connect (OSTI)

    Noland, Lynn [Director, Sponsored Programs] [Director, Sponsored Programs

    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.

  12. Rerouting in advance reservation networks Chongyang Xie a

    E-Print Network [OSTI]

    Ghani, Nasir

    , a Department of Electrical and Computer Engineering, University of New Mexico, USA b Computer Engineering reservation Rerouting Bandwidth migration Load-balancing a b s t r a c t The advance reservation of network

  13. 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.

  14. Computer resources Computer resources

    E-Print Network [OSTI]

    Yang, Zong-Liang

    Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

  15. X. Parallel and Distributed Scientific A Numerical Linear Algebra Problem Solving Environment

    E-Print Network [OSTI]

    Dongarra, Jack

    X. Parallel and Distributed Scientific Computing A Numerical Linear Algebra Problem Solving­Quality, Reusable, Mathematical Software : : : : : : : : : : : : : : 467 3. Automatic Generation of Tuned Numerical : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 456 2. Numerical Linear Algebra Libraries : : : : : : : : : : : : : : : : : : : : : : : : : : : : 459

  16. 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.

  17. Compiling array computations for the Fresh Breeze Parallel Processor

    E-Print Network [OSTI]

    Ginzburg, Igor Arkadiy

    2007-01-01

    Fresh Breeze is a highly parallel architecture currently under development, which strives to provide high performance scientific computing with simple programmability. The architecture provides for multithreaded determinate ...

  18. Theoretical and Computational Advances for Network Diversion

    E-Print Network [OSTI]

    and Business, Colorado School of Mines, Golden, Colorado 80401 The network-diversion problem (ND) is defined.1002/net.21514 Published online in Wiley Online Library (wileyonlinelibrary.com). © 2013 Wiley Periodicals minimum total effort to accom- plish his task. To this end, he defines edge weights we > 0 for all e E

  19. Master in Computer Science Advanced Networking

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    : The exercise is broad and generic, the goal is to test you maturity and understanding of networking employees have full access to the Internet, and both R&D and production (it is a Software Engineering company) make a heavy use of the network. · The company servers must be reachable from the Internet

  20. Advanced Computational Methods for Turbulence and Combustion...

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

    of premixed lean fuels for clean, efficient combustion devices such as low-swirl burners. Over 80% of energy consumed in the U.S. occurs via the burning of fossil fuels in...

  1. Theoretical advances on multichromosomal median computation

    E-Print Network [OSTI]

    Chauve, Cedric

    consider the classical problem of com- puting an optimal median for three multichromosomal genomes G1, G2, G3. More precisely, we consider the case where ­ G1, G2, G3 are mixed genomes as they can have (possibly) both linear and circular chromosomes; ­ pairs G, G of genomes on n genes are compared using

  2. Advanced Topics in Computer Oct. 4, 2012

    E-Print Network [OSTI]

    Erdem, Erkut

    in the world, and where it is. [Marr, 1982] #12;Why is vision hard? · A typical image includes many objects, Transformation 3. Physical Realization · Hardware Marr's observation: Studying vision at 3 levels #12;Slide Credit: E. Simoncelli Marr's observation: Studying vision at 3 levels #12;Marr's observation: Studying

  3. 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).

  4. Advanced Materials Development through Computational Design ...

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

    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...

  5. Advanced Health Monitoring of Computer Cluster

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsicloudden DocumentationAccommodationsRegister /Advancedenzyme mixtures toHealth

  6. Collaboration to advance high-performance computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAuditsCluster Compatibility Mode ClusterProtein structure

  7. Sandia National Laboratories: Advanced Simulation and Computing:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming Release of the UniversityValidation Verification

  8. BUSINESS PLAN ADVANCED SIMULATION AND COMPUTING

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nucleara min [TypeCommittee on thei BUSINESS

  9. advanced simulation and computing | National Nuclear Security

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup!management

  10. Sandia National Laboratories: Advanced Simulation and Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuelInnovationScience & Technology, ChiefAbout

  11. Advanced Computing Tech Team | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:I Due Date Adv. Fossil Solicitation Part

  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. Ken Wilson: A scientific appreciation

    E-Print Network [OSTI]

    Wilczek, Frank

    This brief retrospective is an overview and celebration of Kenneth Wilson’s profound contributions to science, meant to be accessible to a broad scientific audience. Wilson’s lecture on receipt of the 1982 Nobel Prize gives ...

  14. Disembedding Computers Interfacing Ubiquitous William Edmondson

    E-Print Network [OSTI]

    Edmondson, William

    Disembedding Computers ­ Interfacing Ubiquitous Computers William Edmondson Advanced Interaction interpretations of the term `Ubiquitous Computing' - many computers; people using them much of the time; embedded, Ubiquitous computers. ACM Classification Keywords H.5 Information Interfaces and Presentation (e.g., HCI). H

  15. Undergraduate Research Positions Computational Mathematics

    E-Print Network [OSTI]

    Le Borne, Sabine

    Undergraduate Research Positions in Computational Mathematics I am looking for undergraduate to the challenges and rewards of a scientific career. Desired: Background in numerical mathematics, C/C++ or MATLAB programming experience. Major in mathematics, computer science, engineering, or related areas. Duration: Up

  16. 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.

  17. Sandia Energy - Advanced Research & Development

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >Scientific andInstituteAdvancedAdvanced Research

  18. Journal of Computational Science 3 (2012) 388397 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Danforth, Chris

    2012-01-01

    , Vermont Complex Systems Center & the Vermont Advanced Computing Core, University of Vermont, Burlington

  19. 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 achieve a healthier energy efficient interior environment the medical center made substantive upgrades and improvements to the HVAC, plumbing electrical and other operating systems. Measures that were implemented range from use of lighting and plumbing fixture sensors, to reduce electrical and water usage, to use of refrigerants containing hydrochlorofluorocarbons (HCFCs) which cause significantly less depletion of the ozone layer than the refrigerants more commonly used. Additional appropriate energy efficiency component upgrades include the installation of Chiller plants with variable frequency drives (VFDs) and harmonic filters, high efficiency motors, solar window glazing, and lighting/motion sensors.

  20. BASIC TOOLS FOR COMPUTING IN MULTIGRADED RINGS

    E-Print Network [OSTI]

    Robbiano, Lorenzo

    BASIC TOOLS FOR COMPUTING IN MULTIGRADED RINGS MARTIN KREUZER the useful characteristics of basic tools and some of the more advanced, and less frequently used, tools

  1. 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.

  2. The Advanced Manufacturing Partnership and the Advanced Manufacturing...

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

    The Advanced Manufacturing Partnership and the Advanced Manufacturing National Program Office The Advanced Manufacturing Partnership and the Advanced Manufacturing National Program...

  3. A review of "The Age of Milton and the Scientific Revolution" by Angelica Duran 

    E-Print Network [OSTI]

    Berry, Boyd M.

    2007-01-01

    Duran. The Age of Milton and the Scientific Revolution. Pittsburgh: Duquesne University Press, 2007, pp. 349, $58.00. Review by BOYD M. BERRY, VIRGINIA COMMONWEALTH UNIVERSITY. One could argue that Angelica Duran has written a book about... the advancement of learning in seventeenth-century England, and that hers in effect advances a similar goal today. To put it in that abstract way is of course to occlude the two massive abstractions of her title, The Age of Milton and the Scientific Revolution...

  4. Sandia Energy - Advanced Imaging

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

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

  5. Eigenvalue Computation in the 20th Century Gene H. Golub \\Lambda and Henk A. van der Vorst y

    E-Print Network [OSTI]

    Vorst, Henk A.

    . on Scientific Computing, J. on Computational and Applied Mathematics, J. Applied Numerical Mathematics, Numerische Mathematik, Numerical Algorithms, Mathematics of Computation, Parallel Comput­ ing, ACM, and in addition, much of scientific computing depends critically in one way or another on numerical linear algebra

  6. Models and People: an alternative view of the emergent properties of computational models

    E-Print Network [OSTI]

    Boschetti, Fabio

    be used to address scientific questions or support real-world decision making. At these higher levels ecological model may be used i) to address a scientific question and ii) how the scientific insight so gained management problem (Figure 1, top) 11-16 . 2 Computational models and scientific questions Within

  7. Scientific Knowledge 1. What is the Problem?

    E-Print Network [OSTI]

    Giere, Ronald N.

    Chapter 1 Scientific Knowledge 1. What is the Problem? Since the end of World War II, the influence scientific knowledge.1 In spite of the undeniable successes of post World War II science, there have always-scientists. After World War II, widespread serious questions about the nature of scientific #12;Giere. Scientific

  8. Advanced Thermal Control

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

    thermal models power density cost lifetime Advanced Thermal Interface Materials Advanced Heat Transfer Technologies Air Cooling Thermal System Performance and Integration Thermal...

  9. The Lynne and William Frankel Center for Computer Science

    E-Print Network [OSTI]

    Beimel, Amos

    The Lynne and William Frankel Center for Computer Science Department of Computer Science Ben Gurion there yet? e-Science involves the application of advanced computational methods to other areas of science developed new techniques and software prototypes. Importantly, e-Science requires advanced in both computer

  10. 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.

  11. Julia : an efficient dynamic language for technical computing

    E-Print Network [OSTI]

    Bezanson, Jeffrey Werner

    2012-01-01

    Dynamic programming languages have become popular for scientific computing. They are generally considered highly productive, but lacking in performance. This thesis presents a new dynamic language for technical computing, ...

  12. Advanced Test Reactor Core Modeling Update Project Annual Report for Fiscal Year 2013

    SciTech Connect (OSTI)

    David W. Nigg

    2013-09-01

    Legacy computational reactor physics software tools and protocols currently used for support of Advanced Test Reactor (ATR) core fuel management and safety assurance, and to some extent, experiment management, are inconsistent with the state of modern nuclear engineering practice, and are difficult, if not impossible, to verify and validate (V&V) according to modern standards. Furthermore, the legacy staff knowledge required for effective application of these tools and protocols from the 1960s and 1970s is rapidly being lost due to staff turnover and retirements. In late 2009, the Idaho National Laboratory (INL) initiated a focused effort, the ATR Core Modeling Update Project, to address this situation through the introduction of modern high-fidelity computational software and protocols. This aggressive computational and experimental campaign will have a broad strategic impact on the operation of the ATR, both in terms of improved computational efficiency and accuracy for support of ongoing DOE programs as well as in terms of national and international recognition of the ATR National Scientific User Facility (NSUF).

  13. Advanced Test Reactor Core Modeling Update Project Annual Report for Fiscal Year 2010

    SciTech Connect (OSTI)

    Rahmat Aryaeinejad; Douglas S. Crawford; Mark D. DeHart; George W. Griffith; D. Scott Lucas; Joseph W. Nielsen; David W. Nigg; James R. Parry; Jorge Navarro

    2010-09-01

    Legacy computational reactor physics software tools and protocols currently used for support of Advanced Test Reactor (ATR) core fuel management and safety assurance and, to some extent, experiment management are obsolete, inconsistent with the state of modern nuclear engineering practice, and are becoming increasingly difficult to properly verify and validate (V&V). Furthermore, the legacy staff knowledge required for application of these tools and protocols from the 1960s and 1970s is rapidly being lost due to staff turnover and retirements. In 2009 the Idaho National Laboratory (INL) initiated a focused effort to address this situation through the introduction of modern high-fidelity computational software and protocols, with appropriate V&V, within the next 3-4 years via the ATR Core Modeling and Simulation and V&V Update (or “Core Modeling Update”) Project. This aggressive computational and experimental campaign will have a broad strategic impact on the operation of the ATR, both in terms of improved computational efficiency and accuracy for support of ongoing DOE programs as well as in terms of national and international recognition of the ATR National Scientific User Facility (NSUF).

  14. Departments of Computer Science, Mathematics, Statistics, and the Computation Institute SCIENTIFIC AND STATISTICAL COMPUTING SEMINAR

    E-Print Network [OSTI]

    Stephens, Matthew

    of minimizing a function of several variables constrained by inequalities--first became known as the Kuhn

  15. Language interoperability for high-performance parallel scientific components

    SciTech Connect (OSTI)

    Elliot, N; Kohn, S; Smolinski, B

    1999-05-18

    With the increasing complexity and interdisciplinary nature of scientific applications, code reuse is becoming increasingly important in scientific computing. One method for facilitating code reuse is the use of components technologies, which have been used widely in industry. However, components have only recently worked their way into scientific computing. Language interoperability is an important underlying technology for these component architectures. In this paper, we present an approach to language interoperability for a high-performance parallel, component architecture being developed by the Common Component Architecture (CCA) group. Our approach is based on Interface Definition Language (IDL) techniques. We have developed a Scientific Interface Definition Language (SIDL), as well as bindings to C and Fortran. We have also developed a SIDL compiler and run-time library support for reference counting, reflection, object management, and exception handling (Babel). Results from using Babel to call a standard numerical solver library (written in C) from C and Fortran show that the cost of using Babel is minimal, where as the savings in development time and the benefits of object-oriented development support for C and Fortran far outweigh the costs.

  16. 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.

  17. Scientific and Technical Need | JCESR

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top Scientific Impact Since its inception overScientific

  18. Advanced Manufacturing Office News

    SciTech Connect (OSTI)

    2013-08-08

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

  19. The Layered World of Scientific Conferences Michael Kuhn and Roger Wattenhofer

    E-Print Network [OSTI]

    The Layered World of Scientific Conferences Michael Kuhn and Roger Wattenhofer Computer Engineering the mining of small world graphs under a new perspective. We exemplary base our work on a conference graph it is helpful to have a better understanding of the world of computer science conferences. Throughout this paper

  20. Scientific Programming for Systems Biologists

    E-Print Network [OSTI]

    Albert, Réka

    Scientific Programming for Systems Biologists István Albert Bioinformatics Consulting Center Huck;The riches of the standard library http://docs.python.org/ -> Global Module Index #12;External://matplotlib.sourceforge.net/ Bioinformatics - BioPython - http://biopython.org Graph Library - NetworkX - https://networkx.lanl.gov Machine

  1. SCIENTIFIC CORRESPONDENCE Ferromagnetism and EMFs

    E-Print Network [OSTI]

    Kirschvink, Joseph L.

    SCIENTIFIC CORRESPONDENCE Ferromagnetism and EMFs such they constitute roughly half of the projects of EMF. However, any effect of EMF exposure on cultured cells, if it is due to the presence of whether weak, extremely low-frequency electromagnetic fields (EMFs) can cause cancer always generates

  2. U.S. Scientific Team Draws on New Data, Multiple Scientific Methodolog...

    Energy Savers [EERE]

    Team Draws on New Data, Multiple Scientific Methodologies to Reach Updated Estimate of Oil Flows from BP's Well U.S. Scientific Team Draws on New Data, Multiple Scientific...

  3. University of Arizona Research Computing 2012

    E-Print Network [OSTI]

    Ziurys, Lucy M.

    in High Performance Computing and High Throughput Computing (HPC/HTC) and storage will greatly advance, the new Research Data Center houses our next generation of High Performance Computing (HPC), High on interdisciplinary concepts and on collaborations with industry. Our reliance on high performance computing

  4. Mark Abbott Dean and Professor

    E-Print Network [OSTI]

    Kurapov, Alexander

    computing to advance scientific discovery," said Tony Hey, corporate vice president, Microsoft Research

  5. Computer Engineering Computer Systems and

    E-Print Network [OSTI]

    Computer Engineering Computer Systems and Electrical Engineering Concentrations MS Graduate Handbook 2014 - 2015 #12;MANUAL OF THE MS DEGREE IN COMPUTER ENGINEERING ARIZONA STATE UNIVERSITY 2014 ­ 2015 Computer Engineering (Computer Systems) graduate degrees please contact: School of Computing

  6. National Energy Research Scientific Computing Center 2007 Annual Report

    E-Print Network [OSTI]

    Hules, John A.

    2008-01-01

    nuclear, biofuels, and renewable), energy efficiency, climate management, nanotechnology, and knowledge

  7. 12.010 Computational Methods of Scientific Programming, Fall 2008

    E-Print Network [OSTI]

    Herring, Thomas

    This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative ...

  8. 12.010 Computational Methods of Scientific Programming, Fall 2002

    E-Print Network [OSTI]

    Herring, T. (Thomas)

    This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB®, and Mathematica®. Emphasis is placed on program design, algorithm development and verification, and comparative ...

  9. 12.010 Computational Methods of Scientific Programming, Fall 2007

    E-Print Network [OSTI]

    Herring, T. (Thomas)

    This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative ...

  10. 12.010 Computational Methods of Scientific Programming, Fall 2005

    E-Print Network [OSTI]

    Herring, T. (Thomas)

    This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative ...

  11. SCIENTIFIC & COMPUTATIONAL CHALLENGES OF THE FUSION SIMULATION PROJECT (FSP)

    E-Print Network [OSTI]

    and no possibility of runaway reactions/meltdown & low risk of nuclear proliferation · Estimated to be cost of civilization's arguably most important technology: essentially inexhaustible, essentially proliferation- free

  12. Department of Statistics SCIENTIFIC AND STATISTICAL COMPUTING SEMINAR

    E-Print Network [OSTI]

    Stephens, Matthew

    of boiling water reactors. The boiling phenomenon is described mathematically using the drift flux model at different velocities, e.g. oil and water or water and vapor. According to the chemical composition National Laboratory (ANL) is the water-vapor two phase problem which arises in connection to simulations

  13. Indiana-Illinois Workshop on Scientific Computing 2014

    E-Print Network [OSTI]

    ... diabetic retinopathy), neurodegenerative diseases (e.g. Alzheimer's disease, Parkinson's disease) and other systemic diseases (e.g. hypertension, diabetes).

  14. Some applications of pipelining techniques in parallel scientific computing 

    E-Print Network [OSTI]

    Deng, Yuanhua

    1996-01-01

    columnwise partitioning schemes. For chasing algorithms, in addition to the pipelining, we apply block-cyclic partitioning, group message-passing techniques to enhance the performance of the pipelined parallel algorithms. The numerical results for the use...

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

    Office of Scientific and Technical Information (OSTI)

    Type: Conference Resource Relation: Conference: Proposed for presentation at the 2005 IEEE International Symposium on Workload Characterization held October 6-8, 2005 in Austin,...

  16. Guoning Chen Scientific Computing and Imaging (SCI) Institute

    E-Print Network [OSTI]

    Chen, Guoning

    to Visualize CFD Simulation Results, NAFEMS World Congress (NWC) Conference Proceedings, The International

  17. National Energy Research Scientific Computing Center 2007 Annual Report

    E-Print Network [OSTI]

    Hules, John A.

    2008-01-01

    Berkeley National Laboratory National Energy ResearchNorthwest National Laboratory National Energy ResearchNational Laboratory Research Accelerator for Mul- tiple Processors UCLA NERSC National Energy Research

  18. Tarragon : a programming model for latency-hiding scientific computations

    E-Print Network [OSTI]

    Cicotti, Pietro

    2011-01-01

    Chapter 2 Programming Model . . . . . . . . . 2.1vi Chapter 6 Dynamic programming . . . . . . . . . . 6.1 Theof related programming model implementations. . . . . .

  19. National Energy Research Scientific Computing Center 2007 Annual Report

    E-Print Network [OSTI]

    Hules, John A.

    2008-01-01

    concept for inertial confinement fusion (ICF). ICF is theStorage System Inertial confinement fusion Institute of

  20. CSC14: The Sixth SIAM Workshop on Combinatorial Scientific Computing

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . Çatalyürek, The Ohio State University, USA Assefaw Gebremedhin, Purdue University, USA John Gilbert