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Sample records for marius stan computational

  1. Marius Stan | Argonne National Laboratory

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

    Marius Stan Senior Scientist - Nuclear Engineering Dr. Marius Stan is a physicist and a chemist interested in non-equilibrium thermodynamics, heterogeneity, and multi-scale computational science for energy applications. He is also Technical Director for the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. Stan holds an Intergovernmental Personnel Act (IPA) position with the U.S. Department of Energy Office of Nuclear Energy (DOE-NE). An IPA permits the temporary assignment of

  2. Marius Stan Returning to Reddit To Tie Up Loose Ends

    Broader source: Energy.gov [DOE]

    Marius Stan, computational scientist and Breaking Bad actor, will be returning to Reddit once again to tie up loose ends by answering questions.

  3. Microsoft PowerPoint - Marius Stan.update

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

    Simulations for Nuclear Energy Applications High Speed Computing Conference Salishan Lodge, Gleneden Beach, OR, April 27-30, 2009 UNCLASSIFIED LA-UR-09-02604 Marius Stan 1 Contributors: C. R. Stanek 1 , B. P. Uberuaga 1 , B. Mihaila 1 , S. M. Valone 1 , A. D. Andersson 1 , P. Cristea 2 , S. Y. Hu 3 , J. C. Ramirez 4 , V. Tikare 5 , P. Turchi 6 , and M. Samaras 7 1 Los Alamos National Laboratory, U. S. A. 2 Univ. of Bucharest, Romania 3 Pacific Northwest National Laboratory, U. S. A. 4 Exponent,

  4. Stan Calvert | Department of Energy

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

    Stan Calvert About Us Stan Calvert - Wind Systems Integration Team Lead, Wind & Water Power Program Stan Calvert is the Wind Systems Integration Team Lead for the Wind and Water Power Program. Most Recent Today's Forecast: Improved Wind Predictions July

  5. Liliana Stan | Argonne National Laboratory

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

    Liliana Stan Engineering Specialist Senior Experience Extensive experience on designing, synthesis, and characterization of multilayered structures of metal, complex-oxide films, and multifunctional nanocomposites using physical vapor deposition techniques (sputtering, ion beam assisted deposition (IBAD), e-beam evaporation) and atomic layer deposition (ALD). Educational background M.S. Electrical Engineering, University of New Mexico. B.S. Physics, University of Bucharest, Romania Research

  6. Argonne OutLoud: Science and Cinema (July 17, 2014) | Argonne National

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

    Laboratory Science and Cinema (July 17, 2014) Share Topic Community Outreach Marius Stan presented "Science and Cinema" at the Argonne OutLoud Lecture Series on Thursday, July 17, 2014. The lecture will examine the unexpected connections between the two fields of science and cinema. Marius Stan is a Senior Computational Energy Scientist whose research is aimed at discovering or designing materials, structures and device architectures for nuclear energy and energy storage. Stan has

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

    Office of Scientific and Technical Information (OSTI)

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

  8. Stan Bull, Long-Time NREL Leader, Named AAAS Fellow - News Releases | NREL

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

    Stan Bull, Long-Time NREL Leader, Named AAAS Fellow January 11, 2011 Stanley R. Bull, former associate director for Science and Technology at the U.S. Department of Energy's National Renewable Energy Laboratory, has been awarded the distinction of Fellow of the American Association for the Advancement of Science. Bull, a Midwest Research Institute vice president when he served at NREL, is now MRI's director of Energy Programs and an NREL emeritus researcher. He was cited for "distinguished

  9. Low Mach Number Models in Computational Astrophysics

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

    In memoriam: Michael Welcome 1957 - 2014 RIP Almgren CCSE Low Mach Number Models in Computational Astrophysics Ann Almgren Center for Computational Sciences and Engineering Lawrence Berkeley National Laboratory NUG 2014: NERSC@40 February 4, 2014 Collaborators: John Bell, Chris Malone, Andy Nonaka, Stan Woosley, Michael Zingale Almgren CCSE Introduction We often associate astrophysics with explosive phenomena: novae supernovae gamma-ray bursts X-ray bursts Type Ia Supernovae Largest

  10. computers

    National Nuclear Security Administration (NNSA)

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

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

  11. computers

    National Nuclear Security Administration (NNSA)

    California.

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

  12. Computer

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

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

  13. Computing

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

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

  14. Computations

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

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

  15. Computing Videos

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

    Computing Videos Computing

  16. Computation & Simulation > Theory & Computation > Research >...

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

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

  17. Compute nodes

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

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

  18. Computing Information

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

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

  19. Computer System,

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

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

  20. Stanly County, North Carolina: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Carolina New London, North Carolina Norwood, North Carolina Oakboro, North Carolina Red Cross, North Carolina Richfield, North Carolina Stanfield, North Carolina Retrieved...

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

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

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

    2. Computing Sciences

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

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

    3. Computing Resources

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

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

    4. Compute Nodes

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

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

    5. Computer Science

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

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

    6. Computer Security

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

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

    7. Computing and Computational Sciences Directorate - Divisions

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

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

    8. Compute Nodes

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

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

    9. Compute Nodes

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

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

    10. Exascale Computing

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

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

    11. LHC Computing

      SciTech Connect (OSTI)

      Lincoln, Don

      2015-07-28

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

    12. Computational mechanics

      SciTech Connect (OSTI)

      Goudreau, G.L.

      1993-03-01

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

    13. Computing and Computational Sciences Directorate - Contacts

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

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

    14. Compute Nodes

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

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

    15. Computational mechanics

      SciTech Connect (OSTI)

      Raboin, P J

      1998-01-01

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

    16. Computing Resources

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

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

    17. Advanced Scientific Computing Research

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

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

    18. 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...

    19. Computer System,

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

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

    20. Computing Events

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

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

    1. Computing and Computational Sciences Directorate - Computer Science and

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

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

    2. Computing at JLab

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

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

    3. Computing Resources | Argonne Leadership Computing Facility

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

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

    4. 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...

    5. Computer Architecture Lab

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

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

    6. Fermilab | Science at Fermilab | Computing | Grid Computing

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

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

    7. Mira Computational Readiness Assessment | Argonne Leadership Computing

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

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

    8. Sandia Energy - Computations

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

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

    9. Computer hardware fault administration

      DOE Patents [OSTI]

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

      2010-09-14

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

    10. Molecular Science Computing | EMSL

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

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

    11. Applied & Computational Math

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

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

    12. 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...

    13. NERSC Computer Security

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

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

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

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

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

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

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

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

    16. 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.

    17. Computers-BSA.ppt

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

      Computers! Boy Scout Troop 405! What is a computer?! Is this a computer?! Charles Babbage: Father of the Computer! 1830s Designed mechanical calculators to reduce human error. *Input device *Memory to store instructions and results *A processors *Output device! Vacuum Tube! Edison 1883 & Lee de Forest 1906 discovered that "vacuum tubes" could serve as electrical switches and amplifiers A switch can be ON (1)" or OFF (0) Electronic computers use Boolean (George Bool 1850) logic

    18. Computational Fluid Dynamics

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

      scour-tracc-cfd TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Fluid Dynamics Overview of CFD: Video Clip with Audio Computational fluid dynamics (CFD) research uses mathematical and computational models of flowing fluids to describe and predict fluid response in problems of interest, such as the flow of air around a moving vehicle or the flow of water and sediment in a river. Coupled with appropriate and prototypical

    19. Theory & Computation > Research > The Energy Materials Center...

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

      Theory & Computation In This Section Computation & Simulation Theory & Computation Computation & Simulation...

    20. Polymorphous computing fabric

      DOE Patents [OSTI]

      Wolinski, Christophe Czeslaw (Los Alamos, NM); Gokhale, Maya B. (Los Alamos, NM); McCabe, Kevin Peter (Los Alamos, NM)

      2011-01-18

      Fabric-based computing systems and methods are disclosed. A fabric-based computing system can include a polymorphous computing fabric that can be customized on a per application basis and a host processor in communication with said polymorphous computing fabric. The polymorphous computing fabric includes a cellular architecture that can be highly parameterized to enable a customized synthesis of fabric instances for a variety of enhanced application performances thereof. A global memory concept can also be included that provides the host processor random access to all variables and instructions associated with the polymorphous computing fabric.

    1. Fermilab | Science at Fermilab | Computing | High-performance Computing

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

      Lattice QCD Farm at the Grid Computing Center at Fermilab. Lattice QCD Farm at the Grid Computing Center at Fermilab. Computing High-performance Computing A workstation computer can perform billions of multiplication and addition operations each second. High-performance parallel computing becomes necessary when computations become too large or too long to complete on a single such machine. In parallel computing, computations are divided up so that many computers can work on the same problem at

    2. Computers in Commercial Buildings

      U.S. Energy Information Administration (EIA) Indexed Site

      Government-owned buildings of all types, had, on average, more than one computer per person (1,104 computers per thousand employees). They also had a fairly high ratio of...

    3. Computers for Learning

      Broader source: Energy.gov [DOE]

      Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...

    4. Cognitive Computing for Security.

      SciTech Connect (OSTI)

      Debenedictis, Erik; Rothganger, Fredrick; Aimone, James Bradley; Marinella, Matthew; Evans, Brian Robert; Warrender, Christina E.; Mickel, Patrick

      2015-12-01

      Final report for Cognitive Computing for Security LDRD 165613. It reports on the development of hybrid of general purpose/ne uromorphic computer architecture, with an emphasis on potential implementation with memristors.

    5. Getting Computer Accounts

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

      Computer Accounts When you first arrive at the lab, you will be presented with lots of forms that must be read and signed in order to get an ID and computer access. You must ensure...

    6. Advanced Scientific Computing Research

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

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

    7. Computational Structural Mechanics

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

      load-2 TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Structural Mechanics Overview of CSM Computational structural mechanics is a well-established methodology for the design and analysis of many components and structures found in the transportation field. Modern finite-element models (FEMs) play a major role in these evaluations, and sophisticated software, such as the commercially available LS-DYNA® code, is

    8. Computing and Computational Sciences Directorate - Information Technology

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

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

    9. BNL ATLAS Grid Computing

      ScienceCinema (OSTI)

      Michael Ernst

      2010-01-08

      As the sole Tier-1 computing facility for ATLAS in the United States and the largest ATLAS computing center worldwide Brookhaven provides a large portion of the overall computing resources for U.S. collaborators and serves as the central hub for storing,

    10. Computing environment logbook

      DOE Patents [OSTI]

      Osbourn, Gordon C; Bouchard, Ann M

      2012-09-18

      A computing environment logbook logs events occurring within a computing environment. The events are displayed as a history of past events within the logbook of the computing environment. The logbook provides search functionality to search through the history of past events to find one or more selected past events, and further, enables an undo of the one or more selected past events.

    11. Mathematical and Computational Epidemiology

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

      Mathematical and Computational Epidemiology Search Site submit Contacts | Sponsors Mathematical and Computational Epidemiology Los Alamos National Laboratory change this image and alt text Menu About Contact Sponsors Research Agent-based Modeling Mixing Patterns, Social Networks Mathematical Epidemiology Social Internet Research Uncertainty Quantification Publications People Mathematical and Computational Epidemiology (MCEpi) Quantifying model uncertainty in agent-based simulations for

    12. Scalable optical quantum computer

      SciTech Connect (OSTI)

      Manykin, E A; Mel'nichenko, E V [Institute for Superconductivity and Solid-State Physics, Russian Research Centre 'Kurchatov Institute', Moscow (Russian Federation)

      2014-12-31

      A way of designing a scalable optical quantum computer based on the photon echo effect is proposed. Individual rare earth ions Pr{sup 3+}, regularly located in the lattice of the orthosilicate (Y{sub 2}SiO{sub 5}) crystal, are suggested to be used as optical qubits. Operations with qubits are performed using coherent and incoherent laser pulses. The operation protocol includes both the method of measurement-based quantum computations and the technique of optical computations. Modern hybrid photon echo protocols, which provide a sufficient quantum efficiency when reading recorded states, are considered as most promising for quantum computations and communications. (quantum computer)

    13. 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.

    14. 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...

    15. 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.

    16. Edison Electrifies Scientific Computing

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

      Edison Electrifies Scientific Computing Edison Electrifies Scientific Computing NERSC Flips Switch on New Flagship Supercomputer January 31, 2014 Contact: Margie Wylie, mwylie@lbl.gov, +1 510 486 7421 The National Energy Research Scientific Computing (NERSC) Center recently accepted "Edison," a new flagship supercomputer designed for scientific productivity. Named in honor of American inventor Thomas Alva Edison, the Cray XC30 will be dedicated in a ceremony held at the Department of

    17. Energy Aware Computing

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

      Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Energy Aware Computing Energy Aware Computing Dynamic Frequency Scaling One means to lower the energy required to compute is to reduce the power usage on a node. One way to accomplish this is by lowering the frequency at which the CPU operates. However, reducing the clock speed increases the time to solution, creating a potential tradeoff. NERSC continues to examine how such methods impact its operations and its

    18. Personal Computer Inventory System

      Energy Science and Technology Software Center (OSTI)

      1993-10-04

      PCIS is a database software system that is used to maintain a personal computer hardware and software inventory, track transfers of hardware and software, and provide reports.

    19. Applied Computer Science

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

      Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and ...

    20. Announcement of Computer Software

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

      All Other Editions Are Obsolete UNITED STATES DEPARTMENT OF ENERGY ANNOUNCEMENT OF COMPUTER SOFTWARE OMB Control Number 1910-1400 (OMB Burden Disclosure Statement is on last...

    1. woosley.pptx

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

      Astrophysical Modeling * Cosmology - Mike Norman * Type Ia Supernovae - Stan Woosley and John Bell * Core-collapse Supernovae - (Adam Burrows), Stan Woosley, and John Bell * General Relativistic Applications - ? Physics Turbulence/resolution Radiation transport COMPUTATIONAL ASTROPHYSICS CONSORTIUM * Improve our understanding of supernovae of all types through the use of large scale computing. * Design codes for the efficient study of hydrodynamics and radiation transport on the largest, fastest

    2. 60 Years of Computing | Department of Energy

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

      60 Years of Computing 60 Years of Computing

    3. Information Science, Computing, Applied Math

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

      Capabilities Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security ...

    4. Computer Processor Allocator

      Energy Science and Technology Software Center (OSTI)

      2004-03-01

      The Compute Processor Allocator (CPA) provides an efficient and reliable mechanism for managing and allotting processors in a massively parallel (MP) computer. It maintains information in a database on the health. configuration and allocation of each processor. This persistent information is factored in to each allocation decision. The CPA runs in a distributed fashion to avoid a single point of failure.

    5. SC e-journals, Computer Science

      Office of Scientific and Technical Information (OSTI)

      & Mathematical Organization Theory Computational Complexity Computational Economics Computational Management ... Technology EURASIP Journal on Information Security ...

    6. Computers as tools

      SciTech Connect (OSTI)

      Eriksson, I.V.

      1994-12-31

      The following message was recently posted on a bulletin board and clearly shows the relevance of the conference theme: {open_quotes}The computer and digital networks seem poised to change whole regions of human activity -- how we record knowledge, communicate, learn, work, understand ourselves and the world. What`s the best framework for understanding this digitalization, or virtualization, of seemingly everything? ... Clearly, symbolic tools like the alphabet, book, and mechanical clock have changed some of our most fundamental notions -- self, identity, mind, nature, time, space. Can we say what the computer, a purely symbolic {open_quotes}machine,{close_quotes} is doing to our thinking in these areas? Or is it too early to say, given how much more powerful and less expensive the technology seems destinated to become in the next few decades?{close_quotes} (Verity, 1994) Computers certainly affect our lives and way of thinking but what have computers to do with ethics? A narrow approach would be that on the one hand people can and do abuse computer systems and on the other hand people can be abused by them. Weli known examples of the former are computer comes such as the theft of money, services and information. The latter can be exemplified by violation of privacy, health hazards and computer monitoring. Broadening the concept from computers to information systems (ISs) and information technology (IT) gives a wider perspective. Computers are just the hardware part of information systems which also include software, people and data. Information technology is the concept preferred today. It extends to communication, which is an essential part of information processing. Now let us repeat the question: What has IT to do with ethics? Verity mentioned changes in {open_quotes}how we record knowledge, communicate, learn, work, understand ourselves and the world{close_quotes}.

    7. Applications of Parallel Computers

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

      Computers Applications of Parallel Computers UCB CS267 Spring 2015 Tuesday & Thursday, 9:30-11:00 Pacific Time Applications of Parallel Computers, CS267, is a graduate-level course offered at the University of California, Berkeley. The course is being taught by UC Berkeley professor and LBNL Faculty Scientist Jim Demmel. CS267 is broadcast live over the internet and all NERSC users are invited to monitor the broadcast course, but course credit is available only to student registered for the

    8. Quantum steady computation

      SciTech Connect (OSTI)

      Castagnoli, G. )

      1991-08-10

      This paper reports that current conceptions of quantum mechanical computers inherit from conventional digital machines two apparently interacting features, machine imperfection and temporal development of the computational process. On account of machine imperfection, the process would become ideally reversible only in the limiting case of zero speed. Therefore the process is irreversible in practice and cannot be considered to be a fundamental quantum one. By giving up classical features and using a linear, reversible and non-sequential representation of the computational process - not realizable in classical machines - the process can be identified with the mathematical form of a quantum steady state. This form of steady quantum computation would seem to have an important bearing on the notion of cognition.

    9. Cloud computing security.

      SciTech Connect (OSTI)

      Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.

      2010-10-01

      Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for both academia and government, including configuration options, hardware issues, challenges, and solutions.

    10. Theory, Modeling and Computation

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

      modeling and simulation will be enhanced not only by the wealth of data available from MaRIE but by the increased computational capacity made possible by the advent of extreme...

    11. Argonne Leadership Computing Facility

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

      a n n u a l r e p o r t 2 0 1 2 Argonne Leadership Computing Facility Director's Message .............................................................................................................................1 About ALCF ......................................................................................................................................... 2 IntroDuCIng MIrA Introducing Mira

    12. Applied Computer Science

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

      ADTSC » CCS » CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader Linn Collins Email Deputy Group Leader (Acting) Bryan Lally Email Climate modeling visualization Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and blue color scale. These

    13. Computational Earth Science

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

      6 Computational Earth Science We develop and apply a range of high-performance computational methods and software tools to Earth science projects in support of environmental health, cleaner energy, and national security. Contact Us Group Leader Carl Gable Deputy Group Leader Gilles Bussod Email Profile pages header Search our Profile pages Hari Viswanathan inspects a microfluidic cell used to study the extraction of hydrocarbon fuels from a complex fracture network. EES-16's Subsurface Flow

    14. Computational Physics and Methods

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

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

    15. Compute Reservation Request Form

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

      Compute Reservation Request Form Compute Reservation Request Form Users can request a scheduled reservation of machine resources if their jobs have special needs that cannot be accommodated through the regular batch system. A reservation brings some portion of the machine to a specific user or project for an agreed upon duration. Typically this is used for interactive debugging at scale or real time processing linked to some experiment or event. It is not intended to be used to guarantee fast

    16. New TRACC Cluster Computer

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

      TRACC Cluster Computer With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD 16 core, 2.3 GHz, 32 GB processors. See also Computing Resources.

    17. Advanced Simulation and Computing

      National Nuclear Security Administration (NNSA)

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

    18. Computing | Department of Energy

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

      Computing Computing Fun fact: Most systems require air conditioning or chilled water to cool super powerful supercomputers, but the Olympus supercomputer at Pacific Northwest National Laboratory is cooled by the location's 65 degree groundwater. Traditional cooling systems could cost up to $61,000 in electricity each year, but this more efficient setup uses 70 percent less energy. | Photo courtesy of PNNL. Fun fact: Most systems require air conditioning or chilled water to cool super powerful

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

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

      Researchers? Well, Yes, No and Maybe Can Cloud Computing Address the Scientific Computing Requirements for DOE Researchers? Well, Yes, No and Maybe Can Cloud Computing Address the Scientific Computing Requirements for DOE Researchers? Well, Yes, No and Maybe January 30, 2012 Jon Bashor, Jbashor@lbl.gov, +1 510-486-5849 Magellan1.jpg Magellan at NERSC After a two-year study of the feasibility of cloud computing systems for meeting the ever-increasing computational needs of scientists,

    20. Computing and Computational Sciences Directorate - Joint Institute for

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

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

    1. Computing and Computational Sciences Directorate - National Center for

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

      Computational Sciences Home National Center for Computational Sciences The National Center for Computational Sciences (NCCS), formed in 1992, is home to two of Oak Ridge National Laboratory's (ORNL's) high-performance computing projects-the Oak Ridge Leadership Computing Facility (OLCF) and the National Climate-Computing Research Center (NCRC). The OLCF (www.olcf.ornl.gov) was established at ORNL in 2004 with the mission of standing up a supercomputer 100 times more powerful than the leading

    2. in High Performance Computing Computer System, Cluster, and Networking...

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

      iSSH v. Auditd: Intrusion Detection in High Performance Computing Computer System, Cluster, and Networking Summer Institute David Karns, New Mexico State University Katy Protin,...

    3. Extensible Computational Chemistry Environment

      Energy Science and Technology Software Center (OSTI)

      2012-08-09

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

    4. Information Science, Computing, Applied Math

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

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

    5. Super recycled water: quenching computers

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

      Super recycled water: quenching computers Super recycled water: quenching computers New facility and methods support conserving water and creating recycled products. Using reverse...

    6. Computer simulation | Open Energy Information

      Open Energy Info (EERE)

      Computer simulation Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Computer simulation Author wikipedia Published wikipedia, 2013 DOI Not Provided...

    7. NREL: Computational Science Home Page

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

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

    8. SCC: The Strategic Computing Complex

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

      computer room, which is an open room about three-fourths the size of a football field. The Strategic Computing Complex (SCC) at the Los Alamos National Laboratory...

    9. Human-computer interface

      DOE Patents [OSTI]

      Anderson, Thomas G.

      2004-12-21

      The present invention provides a method of human-computer interfacing. Force feedback allows intuitive navigation and control near a boundary between regions in a computer-represented space. For example, the method allows a user to interact with a virtual craft, then push through the windshield of the craft to interact with the virtual world surrounding the craft. As another example, the method allows a user to feel transitions between different control domains of a computer representation of a space. The method can provide for force feedback that increases as a user's locus of interaction moves near a boundary, then perceptibly changes (e.g., abruptly drops or changes direction) when the boundary is traversed.

    10. Synchronizing compute node time bases in a parallel computer

      DOE Patents [OSTI]

      Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip

      2014-12-30

      Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.

    11. Synchronizing compute node time bases in a parallel computer

      DOE Patents [OSTI]

      Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip

      2015-01-27

      Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.

    12. Computer Security Risk Assessment

      Energy Science and Technology Software Center (OSTI)

      1992-02-11

      LAVA/CS (LAVA for Computer Security) is an application of the Los Alamos Vulnerability Assessment (LAVA) methodology specific to computer and information security. The software serves as a generic tool for identifying vulnerabilities in computer and information security safeguards systems. Although it does not perform a full risk assessment, the results from its analysis may provide valuable insights into security problems. LAVA/CS assumes that the system is exposed to both natural and environmental hazards and tomore » deliberate malevolent actions by either insiders or outsiders. The user in the process of answering the LAVA/CS questionnaire identifies missing safeguards in 34 areas ranging from password management to personnel security and internal audit practices. Specific safeguards protecting a generic set of assets (or targets) from a generic set of threats (or adversaries) are considered. There are four generic assets: the facility, the organization''s environment; the hardware, all computer-related hardware; the software, the information in machine-readable form stored both on-line or on transportable media; and the documents and displays, the information in human-readable form stored as hard-copy materials (manuals, reports, listings in full-size or microform), film, and screen displays. Two generic threats are considered: natural and environmental hazards, storms, fires, power abnormalities, water and accidental maintenance damage; and on-site human threats, both intentional and accidental acts attributable to a perpetrator on the facility''s premises.« less

    13. MHD computations for stellarators

      SciTech Connect (OSTI)

      Johnson, J.L.

      1985-12-01

      Considerable progress has been made in the development of computational techniques for studying the magnetohydrodynamic equilibrium and stability properties of three-dimensional configurations. Several different approaches have evolved to the point where comparison of results determined with different techniques shows good agreement. 55 refs., 7 figs.

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

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

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

    15. Extreme Scale Computing, Co-design

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

      Information Science, Computing, Applied Math Extreme Scale Computing, Co-design Extreme Scale Computing, Co-design Computational co-design may facilitate revolutionary designs ...

    16. Visitor Hanford Computer Access Request - Hanford Site

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

      Visitor Hanford Computer Access Request Visitor Hanford Computer Access Request Visitor Hanford Computer Access Request Visitor Hanford Computer Access Request Email Email Page |...

    17. Software and High Performance Computing

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

      Software and High Performance Computing Software and High Performance Computing Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of strategic national interest Contact thumbnail of Kathleen McDonald Head of Intellectual Property, Business Development Executive Kathleen McDonald Richard P. Feynman Center for Innovation (505) 667-5844 Email Software Computational physics, computer science, applied mathematics, statistics and the

    18. Magellan: A Cloud Computing Testbed

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

      Magellan News & Announcements Archive Petascale Initiative Exascale Computing APEX Home » R & D » Archive » Magellan: A Cloud Computing Testbed Magellan: A Cloud Computing Testbed Cloud computing is gaining a foothold in the business world, but can clouds meet the specialized needs of scientists? That was one of the questions NERSC's Magellan cloud computing testbed explored between 2009 and 2011. The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Oce

    19. Computer Algebra System

      Energy Science and Technology Software Center (OSTI)

      1992-05-04

      DOE-MACSYMA (Project MAC''s SYmbolic MAnipulation system) is a large computer programming system written in LISP. With DOE-MACSYMA the user can differentiate, integrate, take limits, solve systems of linear or polynomial equations, factor polynomials, expand functions in Laurent or Taylor series, solve differential equations (using direct or transform methods), compute Poisson series, plot curves, and manipulate matrices and tensors. A language similar to ALGOL-60 permits users to write their own programs for transforming symbolic expressions. Franzmore » Lisp OPUS 38 provides the environment for the Encore, Celerity, and DEC VAX11 UNIX,SUN(OPUS) versions under UNIX and the Alliant version under Concentrix. Kyoto Common Lisp (KCL) provides the environment for the SUN(KCL),Convex, and IBM PC under UNIX and Data General under AOS/VS.« less

    20. Exploratory Experimentation and Computation

      SciTech Connect (OSTI)

      Bailey, David H.; Borwein, Jonathan M.

      2010-02-25

      We believe the mathematical research community is facing a great challenge to re-evaluate the role of proof in light of recent developments. On one hand, the growing power of current computer systems, of modern mathematical computing packages, and of the growing capacity to data-mine on the Internet, has provided marvelous resources to the research mathematician. On the other hand, the enormous complexity of many modern capstone results such as the Poincare conjecture, Fermat's last theorem, and the classification of finite simple groups has raised questions as to how we can better ensure the integrity of modern mathematics. Yet as the need and prospects for inductive mathematics blossom, the requirement to ensure the role of proof is properly founded remains undiminished.

    1. GPU Computational Screening

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

      GPU Computational Screening of Carbon Capture Materials J. Kim 1 , A Koniges 1 , R. Martin 1 , M. Haranczyk 1 , J. Swisher 2 , and B. Smit 1,2 1 Lawrence Berkeley National Laboratory, Berkeley, CA 94720 2 Department of Chemical Engineering, University of California, Berkeley, Berkeley, CA 94720 E-mail: jihankim@lbl.gov Abstract. In order to reduce the current costs associated with carbon capture technologies, novel materials such as zeolites and metal-organic frameworks that are based on

    2. Cloud Computing Services

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

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

    3. High Performance Computing

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

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

    4. Argonne Leadership Computing Facility

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

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

    5. Applied & Computational Math

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

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

    6. From Federal Computer Week:

      National Nuclear Security Administration (NNSA)

      Federal Computer Week: Energy agency launches performance-based pay system By Richard W. Walker Published on March 27, 2008 The Energy Department's National Nuclear Security Administration has launched a new performance- based pay system involving about 2,000 of its 2,500 employees. NNSA officials described the effort as a pilot project that will test the feasibility of the new system, which collapses the traditional 15 General Schedule pay bands into broader pay bands. The new structure

    7. Computed Tomography Status

      DOE R&D Accomplishments [OSTI]

      Hansche, B. D.

      1983-01-01

      Computed tomography (CT) is a relatively new radiographic technique which has become widely used in the medical field, where it is better known as computerized axial tomographic (CAT) scanning. This technique is also being adopted by the industrial radiographic community, although the greater range of densities, variation in samples sizes, plus possible requirement for finer resolution make it difficult to duplicate the excellent results that the medical scanners have achieved.

    8. Development of computer graphics

      SciTech Connect (OSTI)

      Nuttall, H.E.

      1989-07-01

      The purpose of this project was to screen and evaluate three graphics packages as to their suitability for displaying concentration contour graphs. The information to be displayed is from computer code simulations describing air-born contaminant transport. The three evaluation programs were MONGO (John Tonry, MIT, Cambridge, MA, 02139), Mathematica (Wolfram Research Inc.), and NCSA Image (National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign). After a preliminary investigation of each package, NCSA Image appeared to be significantly superior for generating the desired concentration contour graphs. Hence subsequent work and this report describes the implementation and testing of NCSA Image on both an Apple MacII and Sun 4 computers. NCSA Image includes several utilities (Layout, DataScope, HDF, and PalEdit) which were used in this study and installed on Dr. Ted Yamada`s Mac II computer. Dr. Yamada provided two sets of air pollution plume data which were displayed using NCSA Image. Both sets were animated into a sequential expanding plume series.

    9. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

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

    10. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

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

    11. Computing for Finance

      SciTech Connect (OSTI)

      2010-03-24

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

    12. High Performance Computing at the Oak Ridge Leadership Computing Facility

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

      High Performance Computing at the Oak Ridge Leadership Computing Facility Go to Menu Page 2 Outline * Our Mission * Computer Systems: Present, Past, Future * Challenges Along the Way * Resources for Users Go to Menu Page 3 Our Mission Go to Menu Page 4 * World's most powerful computing facility * Nation's largest concentration of open source materials research * $1.3B budget * 4,250 employees * 3,900 research guests annually * $350 million invested in modernization * Nation's most diverse energy

    13. Multiprocessor computing for images

      SciTech Connect (OSTI)

      Cantoni, V. ); Levialdi, S. )

      1988-08-01

      A review of image processing systems developed until now is given, highlighting the weak points of such systems and the trends that have dictated their evolution through the years producing different generations of machines. Each generation may be characterized by the hardware architecture, the programmability features and the relative application areas. The need for multiprocessing hierarchical systems is discussed focusing on pyramidal architectures. Their computational paradigms, their virtual and physical implementation, their programming and software requirements, and capabilities by means of suitable languages, are discussed.

    14. computational-hydraulics

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

      and Aerodynamics using STAR-CCM+ for CFD Analysis March 21-22, 2012 Argonne, Illinois Dr. Steven Lottes This email address is being protected from spambots. You need JavaScript enabled to view it. A training course in the use of computational hydraulics and aerodynamics CFD software using CD-adapco's STAR-CCM+ for analysis will be held at TRACC from March 21-22, 2012. The course assumes a basic knowledge of fluid mechanics and will make extensive use of hands on tutorials. CD-adapco will issue

    15. developing-compute-efficient

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

      Developing Compute-efficient, Quality Models with LS-PrePost® 3 on the TRACC Cluster Oct. 21-22, 2010 Argonne TRACC Dr. Cezary Bojanowski Dr. Ronald F. Kulak This email address is being protected from spambots. You need JavaScript enabled to view it. Announcement pdficon small The LS-PrePost Introductory Course was held October 21-22, 2010 at TRACC in West Chicago with interactive participation on-site as well as remotely via the Internet. Intended primarily for finite element analysts with

    16. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege o

    17. Computer generated holographic microtags

      DOE Patents [OSTI]

      Sweatt, William C.

      1998-01-01

      A microlithographic tag comprising an array of individual computer generated holographic patches having feature sizes between 250 and 75 nanometers. The tag is a composite hologram made up of the individual holographic patches and contains identifying information when read out with a laser of the proper wavelength and at the proper angles of probing and reading. The patches are fabricated in a steep angle Littrow readout geometry to maximize returns in the -1 diffracted order. The tags are useful as anti-counterfeiting markers because of the extreme difficulty in reproducing them.

    18. Computer generated holographic microtags

      DOE Patents [OSTI]

      Sweatt, W.C.

      1998-03-17

      A microlithographic tag comprising an array of individual computer generated holographic patches having feature sizes between 250 and 75 nanometers is disclosed. The tag is a composite hologram made up of the individual holographic patches and contains identifying information when read out with a laser of the proper wavelength and at the proper angles of probing and reading. The patches are fabricated in a steep angle Littrow readout geometry to maximize returns in the -1 diffracted order. The tags are useful as anti-counterfeiting markers because of the extreme difficulty in reproducing them. 5 figs.

    19. Scanning computed confocal imager

      DOE Patents [OSTI]

      George, John S. (Los Alamos, NM)

      2000-03-14

      There is provided a confocal imager comprising a light source emitting a light, with a light modulator in optical communication with the light source for varying the spatial and temporal pattern of the light. A beam splitter receives the scanned light and direct the scanned light onto a target and pass light reflected from the target to a video capturing device for receiving the reflected light and transferring a digital image of the reflected light to a computer for creating a virtual aperture and outputting the digital image. In a transmissive mode of operation the invention omits the beam splitter means and captures light passed through the target.

    20. Introduction to High Performance Computing

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

      Introduction to High Performance Computing Introduction to High Performance Computing June 10, 2013 Photo on 7 30 12 at 7.10 AM Downloads Download File Gerber-HPC-2.pdf...

    1. Computer Wallpaper | The Ames Laboratory

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

      Computer Wallpaper We've incorporated the tagline, Creating Materials and Energy Solutions, into a computer wallpaper so you can display it on your desktop as a constant reminder....

    2. Super recycled water: quenching computers

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

      Super recycled water: quenching computers Super recycled water: quenching computers New facility and methods support conserving water and creating recycled products. Using reverse osmosis to "super purify" water allows the system to reuse water and cool down our powerful yet thirsty computers. January 30, 2014 Super recycled water: quenching computers LANL's Sanitary Effluent Reclamation Facility, key to reducing the Lab's discharge of liquid. Millions of gallons of industrial

    3. Fermilab | Science at Fermilab | Computing

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

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

    4. History | Argonne Leadership Computing Facility

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

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

    5. Computing architecture for autonomous microgrids

      DOE Patents [OSTI]

      Goldsmith, Steven Y.

      2015-09-29

      A computing architecture that facilitates autonomously controlling operations of a microgrid is described herein. A microgrid network includes numerous computing devices that execute intelligent agents, each of which is assigned to a particular entity (load, source, storage device, or switch) in the microgrid. The intelligent agents can execute in accordance with predefined protocols to collectively perform computations that facilitate uninterrupted control of the microgrid.

    6. Noise tolerant spatiotemporal chaos computing

      SciTech Connect (OSTI)

      Kia, Behnam; Kia, Sarvenaz; Ditto, William L.; Lindner, John F.; Sinha, Sudeshna

      2014-12-01

      We introduce and design a noise tolerant chaos computing system based on a coupled map lattice (CML) and the noise reduction capabilities inherent in coupled dynamical systems. The resulting spatiotemporal chaos computing system is more robust to noise than a single map chaos computing system. In this CML based approach to computing, under the coupled dynamics, the local noise from different nodes of the lattice diffuses across the lattice, and it attenuates each other's effects, resulting in a system with less noise content and a more robust chaos computing architecture.

    7. AMRITA -- A computational facility

      SciTech Connect (OSTI)

      Shepherd, J.E.; Quirk, J.J.

      1998-02-23

      Amrita is a software system for automating numerical investigations. The system is driven using its own powerful scripting language, Amrita, which facilitates both the composition and archiving of complete numerical investigations, as distinct from isolated computations. Once archived, an Amrita investigation can later be reproduced by any interested party, and not just the original investigator, for no cost other than the raw CPU time needed to parse the archived script. In fact, this entire lecture can be reconstructed in such a fashion. To do this, the script: constructs a number of shock-capturing schemes; runs a series of test problems, generates the plots shown; outputs the LATEX to typeset the notes; performs a myriad of behind-the-scenes tasks to glue everything together. Thus Amrita has all the characteristics of an operating system and should not be mistaken for a common-or-garden code.

    8. Computer memory management system

      DOE Patents [OSTI]

      Kirk, III, Whitson John

      2002-01-01

      A computer memory management system utilizing a memory structure system of "intelligent" pointers in which information related to the use status of the memory structure is designed into the pointer. Through this pointer system, The present invention provides essentially automatic memory management (often referred to as garbage collection) by allowing relationships between objects to have definite memory management behavior by use of coding protocol which describes when relationships should be maintained and when the relationships should be broken. In one aspect, the present invention system allows automatic breaking of strong links to facilitate object garbage collection, coupled with relationship adjectives which define deletion of associated objects. In another aspect, The present invention includes simple-to-use infinite undo/redo functionality in that it has the capability, through a simple function call, to undo all of the changes made to a data model since the previous `valid state` was noted.

    9. Intro to computer programming, no computer required! | Argonne Leadership

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

      Computing Facility Intro to computer programming, no computer required! Author: Laura Wolf January 6, 2016 Facebook Twitter LinkedIn Google E-mail Printer-friendly version Pairing the volunteers with interested schools was the easy part. School administrators and teachers alike were delighted to have Argonne National Laboratory volunteers visit and help guide their Hour of Code activities last December. In all, Argonne's Educational Programs department helped place 44 volunteers in Chicago

    10. Other World Computing | Open Energy Information

      Open Energy Info (EERE)

      World Computing Jump to: navigation, search Name Other World Computing Facility Other World Computing Sector Wind energy Facility Type Community Wind Facility Status In Service...

    11. CLAMR (Compute Language Adaptive Mesh Refinement)

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

      CLAMR (Compute Language Adaptive Mesh Refinement) CLAMR (Compute Language Adaptive Mesh Refinement) CLAMR (Compute Language Adaptive Mesh Refinement) is being developed as a DOE...

    12. Computer_Vision

      Energy Science and Technology Software Center (OSTI)

      2002-10-04

      The Computer_Vision software performs object recognition using a novel multi-scale characterization and matching algorithm. To understand the multi-scale characterization and matching software, it is first necessary to understand some details of the Computer Vision (CV) Project. This project has focused on providing algorithms and software that provide an end-to-end toolset for image processing applications. At a high-level, this end-to-end toolset focuses on 7 coy steps. The first steps are geometric transformations. 1) Image Segmentation. Thismore » step essentially classifies pixels in foe input image as either being of interest or not of interest. We have also used GENIE segmentation output for this Image Segmentation step. 2 Contour Extraction (patent submitted). This takes the output of Step I and extracts contours for the blobs consisting of pixels of interest. 3) Constrained Delaunay Triangulation. This is a well-known geometric transformation that creates triangles inside the contours. 4 Chordal Axis Transform (CAT) . This patented geometric transformation takes the triangulation output from Step 3 and creates a concise and accurate structural representation of a contour. From the CAT, we create a linguistic string, with associated metrical information, that provides a detailed structural representation of a contour. 5.) Normalization. This takes an attributed linguistic string output from Step 4 and balances it. This ensures that the linguistic representation accurately represents the major sections of the contour. Steps 6 and 7 are implemented by the multi-scale characterization and matching software. 6) Multi scale Characterization. This takes as input the attributed linguistic string output from Normalization. Rules from a context free grammar are applied in reverse to create a tree-like representation for each contour. For example, one of the grammar’s rules is L -> (LL ). When an (LL) is seen in a string, a parent node is created that points to the four child symbols ‘(‘ , ‘L’ , ‘L’, and ‘)‘ . Levels in the tree can then be thought of as coarser (towards the root) or finer (towards the leaves) representations of the same contours. 7.) Multi scale Matching. Having a multi-scale characterization allows us to compare objects at a coarser level before matching at finer levels of detail. Matching at a coarser level not only increases the speed of the matching process (you’re comparing fewer symbols) , but also increases accuracy since small variations along contours do not significantly detract from two objects’ similarity.« less

    13. Computational Fluid Dynamics Library

      Energy Science and Technology Software Center (OSTI)

      2005-03-04

      CFDLib05 is the Los Alamos Computational Fluid Dynamics LIBrary. This is a collection of hydrocodes using a common data structure and a common numerical method, for problems ranging from single-field, incompressible flow, to multi-species, multi-field, compressible flow. The data structure is multi-block, with a so-called structured grid in each block. The numerical method is a Finite-Volume scheme employing a state vector that is fully cell-centered. This means that the integral form of the conservation lawsmore » is solved on the physical domain that is represented by a mesh of control volumes. The typical control volume is an arbitrary quadrilateral in 2D and an arbitrary hexahedron in 3D. The Finite-Volume scheme is for time-unsteady flow and remains well coupled by means of time and space centered fluxes; if a steady state solution is required, the problem is integrated forward in time until the user is satisfied that the state is stationary.« less

    14. Bioinformatics Computing Consultant Position Available

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

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

    15. Parallel Computing Summer Research Internship

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

      Parallel Computing Parallel Computing Summer Research Internship Creates next-generation leaders in HPC research and applications development Contacts Program Co-Lead Robert (Bob) Robey Email Program Co-Lead Gabriel Rockefeller Email Program Co-Lead Hai Ah Nam Email Professional Staff Assistant Nickole Aguilar Garcia (505) 665-3048 Email The Parallel Computing Summer Research Internship is an intense 10 week program aimed at providing students with a solid foundation in modern high performance

    16. computational-fluid-dynamics-training

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

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

    17. Careers | Argonne Leadership Computing Facility

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

      Careers at Argonne Looking for a unique opportunity to work at the forefront of high-performance computing? At the Argonne Leadership Computing Facility, we are helping to redefine what's possible in computational science. With some of the most powerful supercomputers in the world and a talented and diverse team of experts, we enable researchers to pursue groundbreaking discoveries that would otherwise not be possible. Check out our open positions below. For the most current listing of

    18. Bioinformatics Computing Consultant Position Available

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

      You can read more about the positions and apply at jobs.lbl.gov: Bioinformatics High Performance Computing Consultant (job number: 73194) and Software Developer for High...

    19. Parallel Computing Summer Research Internship

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

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

    20. Tukey | Argonne Leadership Computing Facility

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

      Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. Feedback Form Tukey The primary purpose of...

    1. QBox | Argonne Leadership Computing Facility

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

      computers. Obtaining Qbox http:eslab.ucdavis.edusoftwareqbox Building Qbox for Blue GeneQ Qbox requires the standard math libraries plus the Xerces-C http:...

    2. Thrusts in High Performance Computing

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

      Exascale computers (1000x Hopper) in next decade: - Manycore processors using graphics, games, embedded cores, or other low power designs offer 100x in power efficiency -...

    3. Advanced Simulation and Computing Program

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

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

    4. Institutional computing (IC) information session

      SciTech Connect (OSTI)

      Koch, Kenneth R; Lally, Bryan R

      2011-01-19

      The LANL Institutional Computing Program (IC) will host an information session about the current state of unclassified Institutional Computing at Los Alamos, exciting plans for the future, and the current call for proposals for science and engineering projects requiring computing. Program representatives will give short presentations and field questions about the call for proposals and future planned machines, and discuss technical support available to existing and future projects. Los Alamos has started making a serious institutional investment in open computing available to our science projects, and that investment is expected to increase even more.

    5. Manufacturing Energy and Carbon Footprint - Sector: Computer...

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

      Computers, Electronics and Electrical Equipment (NAICS 334, 335) Process Energy ... Carbon Footprint Sector: Computers, Electronics and Electrical Equipment (NAICS 334, ...

    6. Computation Directorate 2008 Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2009-03-25

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

    7. Oak Ridge National Laboratory - Computing and Computational Sciences

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

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

    8. Introduction to computers: Reference guide

      SciTech Connect (OSTI)

      Ligon, F.V.

      1995-04-01

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

    9. Power throttling of collections of computing elements

      DOE Patents [OSTI]

      Bellofatto, Ralph E. (Ridgefield, CT); Coteus, Paul W. (Yorktown Heights, NY); Crumley, Paul G. (Yorktown Heights, NY); Gara, Alan G. (Mount Kidsco, NY); Giampapa, Mark E. (Irvington, NY); Gooding; Thomas M. (Rochester, MN); Haring, Rudolf A. (Cortlandt Manor, NY); Megerian, Mark G. (Rochester, MN); Ohmacht, Martin (Yorktown Heights, NY); Reed, Don D. (Mantorville, MN); Swetz, Richard A. (Mahopac, NY); Takken, Todd (Brewster, NY)

      2011-08-16

      An apparatus and method for controlling power usage in a computer includes a plurality of computers communicating with a local control device, and a power source supplying power to the local control device and the computer. A plurality of sensors communicate with the computer for ascertaining power usage of the computer, and a system control device communicates with the computer for controlling power usage of the computer.

    10. Quantum Computing: Solving Complex Problems

      ScienceCinema (OSTI)

      DiVincenzo, David [IBM Watson Research Center

      2009-09-01

      One of the motivating ideas of quantum computation was that there could be a new kind of machine that would solve hard problems in quantum mechanics. There has been significant progress towards the experimental realization of these machines (which I will review), but there are still many questions about how such a machine could solve computational problems of interest in quantum physics. New categorizations of the complexity of computational problems have now been invented to describe quantum simulation. The bad news is that some of these problems are believed to be intractable even on a quantum computer, falling into a quantum analog of the NP class. The good news is that there are many other new classifications of tractability that may apply to several situations of physical interest.

    11. SSRL Computer Account Request Form

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

      SSRL/LCLS Computer Account Request Form August 2009 Fill in this form and sign the security statement mentioned at the bottom of this page to obtain an account. Your Name: __________________________________________________________ Institution: ___________________________________________________________ Mailing Address: ______________________________________________________ Email Address: _______________________________________________________ Telephone:

    12. Computing at SSRL Home Page

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

      contents you are looking for have moved. You will be redirected to the new location automatically in 5 seconds. Please bookmark the correct page at http://www-ssrl.slac.stanford.edu/content/staff-resources/computer-networking-group

    13. Events | Argonne Leadership Computing Facility

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

      2:00 PM Finding Multiple Local Minima of Computationally Expensive Simulations Jeffery Larson Postdoctoral Appointee, MCS Building 240Room 4301 Pages 1 2 3 4 5 6 7 8 9 ... next...

    14. Present and Future Computing Requirements

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

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

    15. SSRL Computer Account Request Form

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

      SSRLLCLS Computer Account Request Form August 2009 Fill in this form and sign the security statement mentioned at the bottom of this page to obtain an account. Your Name:...

    16. Computer Assisted Virtual Environment - CAVE

      ScienceCinema (OSTI)

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

      2014-06-09

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

    17. Secure computing for the 'Everyman'

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

      Secure computing for the 'Everyman' Secure computing for the 'Everyman' If implemented on a wide scale, quantum key distribution technology could ensure truly secure commerce, banking, communications and data transfer. September 2, 2014 This small device developed at Los Alamos National Laboratory uses the truly random spin of light particles as defined by laws of quantum mechanics to generate a random number for use in a cryptographic key that can be used to securely transmit information

    18. computational-hydraulics-for-transportation

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

      Transportation Workshop Sept. 23-24, 2009 Argonne TRACC Dr. Steven Lottes This email address is being protected from spambots. You need JavaScript enabled to view it. Announcement pdficon small The Transportation Research and Analysis Computing Center at Argonne National Laboratory will hold a workshop on the use of computational hydraulics for transportation applications. The goals of the workshop are: Bring together people who are using or would benefit from the use of high performance cluster

    19. Computational Sciences and Engineering Division

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

      If you have questions or comments regarding any of our research and development activities, how to work with ORNL and the Computational Sciences and Engineering (CSE) Division, or the content of this website please contact one of the following people: If you have questions regarding CSE technologies and capabilities, job opportunities, working with ORNL and the CSE Division, intellectual property, etc., contact, Shaun S. Gleason, Ph.D. Division Director, Computational Sciences and Engineering

    20. Computational Sciences and Engineering Division

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

      The Computational Sciences and Engineering Division is a major research division at the Department of Energy's Oak Ridge National Laboratory. CSED develops and applies creative information technology and modeling and simulation research solutions for National Security and National Energy Infrastructure needs. The mission of the Computational Sciences and Engineering Division is to enhance the country's capabilities in achieving important objectives in the areas of national defense, homeland

    1. Mira | Argonne Leadership Computing Facility

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

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

    2. Cooley | Argonne Leadership Computing Facility

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

      Changes from Tukey to Cooley Compiling and Linking Using Cobalt on Cooley Visit on Cooley Paraview on Cooley ParaView Tutorial VNC on Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Cooley The primary purpose of Cooley is to analyze and visualize data produced on Mira. Equipped with state-of-the-art graphics processing units (GPUs), Cooley converts computational data from Mira

    3. LAMMPS | Argonne Leadership Computing Facility

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

      Software & Libraries Boost CPMD Code_Saturne GAMESS GPAW GROMACS LAMMPS MADNESS QBox IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] LAMMPS Overview LAMMPS is a general-purpose molecular dynamics software package for massively parallel computers. It is written in an exceptionally clean style that makes it one of the most popular codes for users to extend and

    4. Automatic computation of transfer functions

      DOE Patents [OSTI]

      Atcitty, Stanley; Watson, Luke Dale

      2015-04-14

      Technologies pertaining to the automatic computation of transfer functions for a physical system are described herein. The physical system is one of an electrical system, a mechanical system, an electromechanical system, an electrochemical system, or an electromagnetic system. A netlist in the form of a matrix comprises data that is indicative of elements in the physical system, values for the elements in the physical system, and structure of the physical system. Transfer functions for the physical system are computed based upon the netlist.

    5. Proposal for grid computing for nuclear applications

      SciTech Connect (OSTI)

      Idris, Faridah Mohamad; Ismail, Saaidi; Haris, Mohd Fauzi B.; Sulaiman, Mohamad Safuan B.; Aslan, Mohd Dzul Aiman Bin.; Samsudin, Nursuliza Bt.; Ibrahim, Maizura Bt.; Ahmad, Megat Harun Al Rashid B. Megat; Yazid, Hafizal B.; Jamro, Rafhayudi B.; Azman, Azraf B.; Rahman, Anwar B. Abdul; Ibrahim, Mohd Rizal B. Mamat; Muhamad, Shalina Bt. Sheik; Hassan, Hasni; Abdullah, Wan Ahmad Tajuddin Wan; Ibrahim, Zainol Abidin; Zolkapli, Zukhaimira; Anuar, Afiq Aizuddin; Norjoharuddeen, Nurfikri; and others

      2014-02-12

      The use of computer clusters for computational sciences including computational physics is vital as it provides computing power to crunch big numbers at a faster rate. In compute intensive applications that requires high resolution such as Monte Carlo simulation, the use of computer clusters in a grid form that supplies computational power to any nodes within the grid that needs computing power, has now become a necessity. In this paper, we described how the clusters running on a specific application could use resources within the grid, to run the applications to speed up the computing process.

    6. Computation Directorate 2007 Annual Report

      SciTech Connect (OSTI)

      Henson, V E; Guse, J A

      2008-03-06

      If there is a single word that both characterized 2007 and dominated the thoughts and actions of many Laboratory employees throughout the year, it is transition. Transition refers to the major shift that took place on October 1, when the University of California relinquished management responsibility for Lawrence Livermore National Laboratory (LLNL), and Lawrence Livermore National Security, LLC (LLNS), became the new Laboratory management contractor for the Department of Energy's (DOE's) National Nuclear Security Administration (NNSA). In the 55 years under the University of California, LLNL amassed an extraordinary record of significant accomplishments, clever inventions, and momentous contributions in the service of protecting the nation. This legacy provides the new organization with a built-in history, a tradition of excellence, and a solid set of core competencies from which to build the future. I am proud to note that in the nearly seven years I have had the privilege of leading the Computation Directorate, our talented and dedicated staff has made far-reaching contributions to the legacy and tradition we passed on to LLNS. Our place among the world's leaders in high-performance computing, algorithmic research and development, applications, and information technology (IT) services and support is solid. I am especially gratified to report that through all the transition turmoil, and it has been considerable, the Computation Directorate continues to produce remarkable achievements. Our most important asset--the talented, skilled, and creative people who work in Computation--has continued a long-standing Laboratory tradition of delivering cutting-edge science even in the face of adversity. The scope of those achievements is breathtaking, and in 2007, our accomplishments span an amazing range of topics. From making an important contribution to a Nobel Prize-winning effort to creating tools that can detect malicious codes embedded in commercial software; from expanding BlueGene/L, the world's most powerful computer, by 60% and using it to capture the most prestigious prize in the field of computing, to helping create an automated control system for the National Ignition Facility (NIF) that monitors and adjusts more than 60,000 control and diagnostic points; from creating a microarray probe that rapidly detects virulent high-threat organisms, natural or bioterrorist in origin, to replacing large numbers of physical computer servers with small numbers of virtual servers, reducing operating expense by 60%, the people in Computation have been at the center of weighty projects whose impacts are felt across the Laboratory and the DOE community. The accomplishments I just mentioned, and another two dozen or so, make up the stories contained in this report. While they form an exceptionally diverse set of projects and topics, it is what they have in common that excites me. They share the characteristic of being central, often crucial, to the mission-driven business of the Laboratory. Computational science has become fundamental to nearly every aspect of the Laboratory's approach to science and even to the conduct of administration. It is difficult to consider how we would proceed without computing, which occurs at all scales, from handheld and desktop computing to the systems controlling the instruments and mechanisms in the laboratories to the massively parallel supercomputers. The reasons for the dramatic increase in the importance of computing are manifest. Practical, fiscal, or political realities make the traditional approach to science, the cycle of theoretical analysis leading to experimental testing, leading to adjustment of theory, and so on, impossible, impractical, or forbidden. How, for example, can we understand the intricate relationship between human activity and weather and climate? We cannot test our hypotheses by experiment, which would require controlled use of the entire earth over centuries. It is only through extremely intricate, detailed computational simulation that we can test our theories, and simulati

    7. Snowmass Computing Frontier I2: Distributed

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

      Snowmass Computing Frontier I2: Distributed Computing and Facility Infrastructures Ken Bloom Richard Gerber July 31, 2013 Thursday, October 10, 13 Computing Frontier I2: Distributed Computing and Facility Infrastructures 7/31/13 Who we are ‣ Ken Bloom, Associate Professor, Department of Physics and Astronomy, University of Nebraska-Lincoln ‣ Co-PI for the Nebraska CMS Tier-2 computing facility ‣ Tier-2 program manager and Deputy Manager of Software and Computing for US CMS ‣ Tier-2

    8. Yuri Alexeev | Argonne Leadership Computing Facility

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

      Yuri Alexeev Assistant Computational Scientist Yury Alekseev Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1126 Argonne IL, 60439 630-252-0157 yuri@alcf.anl.gov Yuri Alexeev is an Assistant Computational Scientist at the Argonne Leadership Computing Facility where he applies his skills, knowledge and experience for using and enabling computational methods in chemistry and biology for high-performance computing on next-generation high-performance computers. Yuri is

    9. Computer Science and Information Technology Student Pipeline

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

      Divisions recruit and hire promising undergraduate and graduate students in the areas of Computer Science, Information Technology, Management Information Systems, Computer...

    10. Applications for Postdoctoral Fellowship in Computational Science...

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

      at Berkeley Lab due November 26 October 15, 2012 by Francesca Verdier Researchers in computer science, applied mathematics or any computational science discipline who have...

    11. Sandia National Laboratories: Careers: Computer Science

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

      Computer Science Red Storm photo Sandia's supercomputing research is reaching for tomorrow's exascale performance while solving real-world problems today. Computer scientists and...

    12. Personal Computing Equipment | Open Energy Information

      Open Energy Info (EERE)

      Computing Equipment Jump to: navigation, search TODO: Add description List of Personal Computing Equipment Incentives Retrieved from "http:en.openei.orgwindex.php?titlePersona...

    13. Advanced Materials Development through Computational Design ...

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

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

    14. Thermoelectric Materials by Design, Computational Theory and...

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

      by Design, Computational Theory and Structure Thermoelectric Materials by Design, Computational Theory and Structure 2009 DOE Hydrogen Program and Vehicle Technologies Program...

    15. Extreme Scale Computing, Co-Design

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

      Information Science, Computing, Applied Math Extreme Scale Computing, Co-design Publications Publications Ramon Ravelo, Qi An, Timothy C. Germann, and Brad Lee Holian, ...

    16. Energy Storage Computational Tool | Open Energy Information

      Open Energy Info (EERE)

      Energy Storage Computational Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Storage Computational Tool AgencyCompany Organization: Navigant Consulting...

    17. Integrated Computational Materials Engineering (ICME) for Mg...

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

      lm012li2012o.pdf More Documents & Publications Integrated Computational Materials Engineering (ICME) for Mg: International Pilot Project Integrated Computational Materials...

    18. Integrated Computational Materials Engineering (ICME) for Mg...

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

      lm012li2011o.pdf More Documents & Publications Integrated Computational Materials Engineering (ICME) for Mg: International Pilot Project Integrated Computational Materials...

    19. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing...

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

      based on molecular magnets that may make them suitable as qubits for quantum computers. Chemistry Aids Quantum Computing Quantum bits or qubits are the fundamental...

    20. Compare Activities by Number of Computers

      U.S. Energy Information Administration (EIA) Indexed Site

      of Computers Office buildings contained the most computers per square foot, followed by education and outpatient health care buildings. Education buildings were the only type...

    1. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing...

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

      Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Print Wednesday, 26 August 2009 00:00 Rotaxanes are...

    2. NERSC Enhances PDSF, Genepool Computing Capabilities

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

      Computing Capabilities NERSC Enhances PDSF, Genepool Computing Capabilities Linux cluster expansion speeds data access and analysis January 3, 2014 Christmas came early for...

    3. Solvate Structures and Computational/Spectroscopic Characterization...

      Office of Scientific and Technical Information (OSTI)

      Solvate Structures and ComputationalSpectroscopic Characterization of LiPF6 Electrolytes Citation Details In-Document Search Title: Solvate Structures and Computational...

    4. Solvate Structures and Computational/Spectroscopic Characterization...

      Office of Scientific and Technical Information (OSTI)

      Solvate Structures and ComputationalSpectroscopic Characterization of LiBF4 Electrolytes Citation Details In-Document Search Title: Solvate Structures and Computational...

    5. Improved computer models support genetics research

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

      February Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and...

    6. Computer Accounts | Stanford Synchrotron Radiation Lightsource

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

      Computer Accounts Each user group must have a computer account. Additionally, all persons using these accounts are responsible for understanding and complying with the terms...

    7. LANL computer model boosts engine efficiency

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

      LANL computer model boosts engine efficiency LANL computer model boosts engine efficiency The KIVA model has been instrumental in helping researchers and manufacturers understand...

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

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

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

    9. Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering

      SciTech Connect (OSTI)

      Smith, Kandler; Graf, Peter; Jun, Myungsoo; Yang, Chuanbo; Li, Genong; Li, Shaoping; Hochman, Amit; Tselepidakis, Dimitrios

      2015-06-09

      This presentation provides an update on improvements in computational efficiency in a nonlinear multiscale battery model for computer aided engineering.

    10. Argonne Lea Computing F A

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

      Lea Computing F A r g o n n e L e a d e r s h i p C o m p u t i n g FA c i l i t y 2 0 1 3 S c i e n c e H i g H l i g H t S Argonne leadership computing Facility C O N T E N T S About ALCF ...............................................................................................................................2 MirA...............................................................................................................................................3 SCienCe DireCtor'S MeSSAge

    11. Supporting collaborative computing and interaction

      SciTech Connect (OSTI)

      Agarwal, Deborah; McParland, Charles; Perry, Marcia

      2002-05-22

      To enable collaboration on the daily tasks involved in scientific research, collaborative frameworks should provide lightweight and ubiquitous components that support a wide variety of interaction modes. We envision a collaborative environment as one that provides a persistent space within which participants can locate each other, exchange synchronous and asynchronous messages, share documents and applications, share workflow, and hold videoconferences. We are developing the Pervasive Collaborative Computing Environment (PCCE) as such an environment. The PCCE will provide integrated tools to support shared computing and task control and monitoring. This paper describes the PCCE and the rationale for its design.

    12. Computing

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

      ... The Challenge is project-based learning geared to teaching a wide range of skills - 41615 A simulation of vortex induced motion shows how ocean currents affect offshore oil rigs. ...

    13. Computing

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

      This turbulent transport is caused by drift-wave instabilities, driven by free energy in plasma temperature and density gradients. * Unavoidable: These instabilities will persist ...

    14. PERTURBATION APPROACH FOR QUANTUM COMPUTATION

      SciTech Connect (OSTI)

      G. P. BERMAN; D. I. KAMENEV; V. I. TSIFRINOVICH

      2001-04-01

      We discuss how to simulate errors in the implementation of simple quantum logic operations in a nuclear spin quantum computer with many qubits, using radio-frequency pulses. We verify our perturbation approach using the exact solutions for relatively small (L = 10) number of qubits.

    15. New challenges in computational biochemistry

      SciTech Connect (OSTI)

      Honig, B.

      1996-12-31

      The new challenges in computational biochemistry to which the title refers include the prediction of the relative binding free energy of different substrates to the same protein, conformational sampling, and other examples of theoretical predictions matching known protein structure and behavior.

    16. Radiological Worker Computer Based Training

      Energy Science and Technology Software Center (OSTI)

      2003-02-06

      Argonne National Laboratory has developed an interactive computer based training (CBT) version of the standardized DOE Radiological Worker training program. This CD-ROM based program utilizes graphics, animation, photographs, sound and video to train users in ten topical areas: radiological fundamentals, biological effects, dose limits, ALARA, personnel monitoring, controls and postings, emergency response, contamination controls, high radiation areas, and lessons learned.

    17. Experimental Mathematics and Computational Statistics

      SciTech Connect (OSTI)

      Bailey, David H.; Borwein, Jonathan M.

      2009-04-30

      The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

    18. Computer Science and Information Technology Student Pipeline

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

      Science and Information Technology Student Pipeline Program Description Los Alamos National Laboratory's High Performance Computing and Information Technology Divisions recruit and hire promising undergraduate and graduate students in the areas of Computer Science, Information Technology, Management Information Systems, Computer Security, Software Engineering, Computer Engineering, and Electrical Engineering. Students are provided a mentor and challenging projects to demonstrate their

    19. Internode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J.; Blocksome, Michael A.; Miller, Douglas R.; Parker, Jeffrey J.; Ratterman, Joseph D.; Smith, Brian E.

      2013-09-03

      Internode data communications in a parallel computer that includes compute nodes that each include main memory and a messaging unit, the messaging unit including computer memory and coupling compute nodes for data communications, in which, for each compute node at compute node boot time: a messaging unit allocates, in the messaging unit's computer memory, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; receives, prior to initialization of a particular process on the compute node, a data communications message intended for the particular process; and stores the data communications message in the message buffer associated with the particular process. Upon initialization of the particular process, the process establishes a messaging buffer in main memory of the compute node and copies the data communications message from the message buffer of the messaging unit into the message buffer of main memory.

    20. Internode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Miller, Douglas R; Parker, Jeffrey J; Ratterman, Joseph D; Smith, Brian E

      2014-02-11

      Internode data communications in a parallel computer that includes compute nodes that each include main memory and a messaging unit, the messaging unit including computer memory and coupling compute nodes for data communications, in which, for each compute node at compute node boot time: a messaging unit allocates, in the messaging unit's computer memory, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; receives, prior to initialization of a particular process on the compute node, a data communications message intended for the particular process; and stores the data communications message in the message buffer associated with the particular process. Upon initialization of the particular process, the process establishes a messaging buffer in main memory of the compute node and copies the data communications message from the message buffer of the messaging unit into the message buffer of main memory.

    1. Link failure detection in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Megerian, Mark G. (Rochester, MN); Smith, Brian E. (Rochester, MN)

      2010-11-09

      Methods, apparatus, and products are disclosed for link failure detection in a parallel computer including compute nodes connected in a rectangular mesh network, each pair of adjacent compute nodes in the rectangular mesh network connected together using a pair of links, that includes: assigning each compute node to either a first group or a second group such that adjacent compute nodes in the rectangular mesh network are assigned to different groups; sending, by each of the compute nodes assigned to the first group, a first test message to each adjacent compute node assigned to the second group; determining, by each of the compute nodes assigned to the second group, whether the first test message was received from each adjacent compute node assigned to the first group; and notifying a user, by each of the compute nodes assigned to the second group, whether the first test message was received.

    2. Broadcasting a message in a parallel computer

      DOE Patents [OSTI]

      Berg, Jeremy E. (Rochester, MN); Faraj, Ahmad A. (Rochester, MN)

      2011-08-02

      Methods, systems, and products are disclosed for broadcasting a message in a parallel computer. The parallel computer includes a plurality of compute nodes connected together using a data communications network. The data communications network optimized for point to point data communications and is characterized by at least two dimensions. The compute nodes are organized into at least one operational group of compute nodes for collective parallel operations of the parallel computer. One compute node of the operational group assigned to be a logical root. Broadcasting a message in a parallel computer includes: establishing a Hamiltonian path along all of the compute nodes in at least one plane of the data communications network and in the operational group; and broadcasting, by the logical root to the remaining compute nodes, the logical root's message along the established Hamiltonian path.

    3. 2011 Computation Directorate Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2012-04-11

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

    4. NERSC Enhances PDSF, Genepool Computing Capabilities

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

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

    5. Extreme Scale Computing, Co-design

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

      Information Science, Computing, Applied Math » Extreme Scale Computing, Co-design Extreme Scale Computing, Co-design Computational co-design may facilitate revolutionary designs in the next generation of supercomputers. Get Expertise Tim Germann Physics and Chemistry of Materials Email Allen McPherson Energy and Infrastructure Analysis Email Turab Lookman Physics and Condensed Matter and Complex Systems Email Computational co-design involves developing the interacting components of a

    6. NERSC seeks Computational Systems Group Lead

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

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

    7. Presentation: High Performance Computing Applications | Department of

      Energy Savers [EERE]

      Energy High Performance Computing Applications Presentation: High Performance Computing Applications A briefing to the Secretary's Energy Advisory Board on High Performance Computing Applications delivered by Frederick H. Streitz, Lawrence Livermore National Laboratory. PDF icon High Performance Computing More Documents & Publications Presentation: QER Energy Topics 2011_INCITE_Fact_Sheets.pdf DOEs Effort to Reduce Truck Aerodynamic Drag through Joint Experiments and Computations

    8. Advanced Computing Tech Team | Department of Energy

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

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

    9. Energy Efficient Computer Use | Department of Energy

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

      Electricity & Fuel » Appliances & Electronics » Energy Efficient Computer Use Energy Efficient Computer Use Use sleep mode and power management features on your computer to save money on your energy bill. Use sleep mode and power management features on your computer to save money on your energy bill. If you wonder when you should turn off your personal computer for energy savings, here are some general guidelines to help you make that decision. Though there is a small surge in energy

    10. Numerical computation of Pop plot

      SciTech Connect (OSTI)

      Menikoff, Ralph

      2015-03-23

      The Pop plot — distance-of-run to detonation versus initial shock pressure — is a key characterization of shock initiation in a heterogeneous explosive. Reactive burn models for high explosives (HE) must reproduce the experimental Pop plot to have any chance of accurately predicting shock initiation phenomena. This report describes a methodology for automating the computation of a Pop plot for a specific explosive with a given HE model. Illustrative examples of the computation are shown for PBX 9502 with three burn models (SURF, WSD and Forest Fire) utilizing the xRage code, which is the Eulerian ASC hydrocode at LANL. Comparison of the numerical and experimental Pop plot can be the basis for a validation test or as an aid in calibrating the burn rate of an HE model. Issues with calibration are discussed.

    11. Addressing failures in exascale computing

      SciTech Connect (OSTI)

      Snir, Marc; Wisniewski, Robert W.; Abraham, Jacob A.; Adve, Sarita; Bagchi, Saurabh; Balaji, Pavan; Belak, Jim; Bose, Pradip; Cappello, Franck; Carlson, William; Chien, Andrew A.; Coteus, Paul; Debardeleben, Nathan A.; Diniz, Pedro; Engelmann, Christian; Erez, Mattan; Saverio, Fazzari; Geist, Al; Gupta, Rinku; Johnson, Fred; Krishnamoorthy, Sriram; Leyffer, Sven; Liberty, Dean; Mitra, Subhasish; Munson, Todd; Schreiber, Robert; Stearly, Jon; Van Hensbergen, Eric

      2014-05-01

      We present here a report produced by a workshop on Addressing Failures in Exascale Computing held in Park City, Utah, August 411, 2012. The charter of this workshop was to establish a common taxonomy about resilience across all the levels in a computing system; discuss existing knowledge on resilience across the various hardware and software layers of an exascale system; and build on those results, examining potential solutions from both a hardware and software perspective and focusing on a combined approach. The workshop brought together participants with expertise in applications, system software, and hardware; they came from industry, government, and academia; and their interests ranged from theory to implementation. The combination allowed broad and comprehensive discussions and led to this document, which summarizes and builds on those discussions.

    12. gdb | Argonne Leadership Computing Facility

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

      Allinea DDT Core File Settings Determining Memory Use Using VNC with a Debugger bgq_stack gdb Coreprocessor Runjob termination TotalView Performance Tools & APIs Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] gdb Using gdb Preliminaries You should prepare a debug version of your code: Compile using -O0 -g If you are using the XL

    13. Darshan | Argonne Leadership Computing Facility

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

      Performance Tools & APIs Tuning MPI on BG/Q Tuning and Analysis Utilities (TAU) HPCToolkit HPCTW mpiP gprof Profiling Tools Darshan PAPI BG/Q Performance Counters BGPM Openspeedshop Scalasca BG/Q DGEMM Performance Automatic Performance Collection (AutoPerf) Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Darshan References Darshan

    14. GAMESS | Argonne Leadership Computing Facility

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

      Performance Tools & APIs Software & Libraries Boost CPMD Code_Saturne GAMESS GPAW GROMACS LAMMPS MADNESS QBox IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] GAMESS What Is GAMESS? The General Atomic and Molecular Electronic Structure System (GAMESS) is a general ab initio quantum chemistry package. For more information on GAMESS, see the Gordon research

    15. GROMACS | Argonne Leadership Computing Facility

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

      Software & Libraries Boost CPMD Code_Saturne GAMESS GPAW GROMACS LAMMPS MADNESS QBox IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] GROMACS Building and Running GROMACS on Vesta/Mira The Gromacs Molecular Dynamics package has a large number of executables. Some of them, such as luck, are just utilities that do not need to be built for the back end. Begin by

    16. Policies | Argonne Leadership Computing Facility

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

      Accounts Policy Account Sponsorship & Retention Policy ALCC Quarterly Report Policy ALCF Acknowledgment Policy Data Policy INCITE Quarterly Report Policy Job Scheduling Policy on BG/Q Job Scheduling Policies on Cooley Pullback Policy Refund Policy Software Policy User Authentication Policy Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Policies Official policies and procedures of the ALCF.

    17. Molecular Science Computing: 2010 Greenbook

      SciTech Connect (OSTI)

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

      2010-04-02

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

    18. Programs | Argonne Leadership Computing Facility

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

      INCITE Program ALCC Program Director's Discretionary (DD) Program Early Science Program INCITE 2016 Projects ALCC 2015 Projects ESP Projects View All Projects Publications ALCF Tech Reports Industry Collaborations Featured Science Snapshot of the global structure of a radiation-dominated accretion flow around a black hole computed using the Athena++ code Magnetohydrodynamic Models of Accretion Including Radiation Transport James Stone Allocation Program: INCITE Allocation Hours: 47 Million

    19. Projects | Argonne Leadership Computing Facility

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

      Projects bgclang Compiler Hal Finkel Cobalt Scheduler Bill Allcock, Paul Rich, Brian Toonen, Tom Uram GLEAN: Scalable In Situ Analysis and I/O Acceleration on Leadership Computing Systems Michael E. Papka, Venkat Vishwanath, Mark Hereld, Preeti Malakar, Joe Insley, Silvio Rizzi, Tom Uram Petrel: Data Management and Sharing Pilot Ian Foster, Michael E. Papka, Bill Allcock, Ben Allen, Rachana Ananthakrishnan, Lukasz Lacinski The Swift Parallel Scripting Language for ALCF Systems Michael Wilde,

    20. MADNESS | Argonne Leadership Computing Facility

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

      Software & Libraries Boost CPMD Code_Saturne GAMESS GPAW GROMACS LAMMPS MADNESS QBox IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] MADNESS Overview MADNESS is a numerical tool kit used to solve integral differential equations using multi-resolution analysis and a low-rank separation representation. MADNESS can solve multi-dimensional equations, currently up

    1. Michael Levitt and Computational Biology

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

      Michael Levitt and Computational Biology Resources with Additional Information * Publications Michael Levitt Courtesy of Linda A. Cicero / Stanford News Service Michael Levitt, PhD, professor of structural biology at the Stanford University School of Medicine, has won the 2013 Nobel Prize in Chemistry. ... Levitt ... shares the ... prize with Martin Karplus ... and Arieh Warshel ... "for the development of multiscale models for complex chemical systems." Levitt's work focuses on

    2. Allocations | Argonne Leadership Computing Facility

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

      Allocation Management Determining Allocation Requirements Querying Allocations Using cbank Mira/Cetus/Vesta Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Allocations ALCF resources are primarily used for DOE INCITE and ALCC awarded projects. Additional information on the INCITE program can be found on the DOE INCITE website and the ALCC program can be found on the Office of

    3. computation | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

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

    4. computers | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

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

    5. computing | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

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

    6. TRIDAC host computer functional specification

      SciTech Connect (OSTI)

      Hilbert, S.M.; Hunter, S.L.

      1983-08-23

      The purpose of this document is to outline the baseline functional requirements for the Triton Data Acquisition and Control (TRIDAC) Host Computer Subsystem. The requirements presented in this document are based upon systems that currently support both the SIS and the Uranium Separator Technology Groups in the AVLIS Program at the Lawrence Livermore National Laboratory and upon the specific demands associated with the extended safe operation of the SIS Triton Facility.

    7. Towards Energy-Centric Computing and Computer Architecture

      SciTech Connect (OSTI)

      2011-02-09

      Technology forecasts indicate that device scaling will continue well into the next decade. Unfortunately, it is becoming extremely difficult to harness this increase in the number of transistorsinto performance due to a number of technological, circuit, architectural, methodological and programming challenges.In this talk, I will argue that the key emerging showstopper is power. Voltage scaling as a means to maintain a constant power envelope with an increase in transistor numbers is hitting diminishing returns. As such, to continue riding the Moore's law we need to look for drastic measures to cut power. This is definitely the case for server chips in future datacenters,where abundant server parallelism, redundancy and 3D chip integration are likely to remove programming, reliability and bandwidth hurdles, leaving power as the only true limiter.I will present results backing this argument based on validated models for future server chips and parameters extracted from real commercial workloads. Then I use these results to project future research directions for datacenter hardware and software.About the speakerBabak Falsafi is a Professor in the School of Computer and Communication Sciences at EPFL, and an Adjunct Professor of Electrical and Computer Engineering and Computer Science at Carnegie Mellon. He is thefounder and the director ofthe Parallel Systems Architecture Laboratory (PARSA) at EPFL where he conducts research onarchitectural support for parallel programming, resilient systems, architectures to break the memory wall, and analytic and simulation tools for computer system performance evaluation.In 1999, in collaboration with T. N. Vijaykumar he showed for the first time that, contrary to conventional wisdom,multiprocessors do not needrelaxed memory consistency models (and the resulting convoluted programming interfaces found and used in modern systems) to achieve high performance. He is a recipient of an NSF CAREER award in 2000, IBM Faculty Partnership Awards between 2001 and 2004, and an Alfred P. Sloan Research Fellowship in 2004. He is a senior member of IEEE and ACM.

    8. Toward Molecular Catalysts by Computer

      SciTech Connect (OSTI)

      Raugei, Simone; DuBois, Daniel L.; Rousseau, Roger J.; Chen, Shentan; Ho, Ming-Hsun; Bullock, R. Morris; Dupuis, Michel

      2015-02-17

      Rational design of molecular catalysts requires a systematic approach to designing ligands with specific functionality and precisely tailored electronic and steric properties. It then becomes possible to devise computer protocols to predict accurately the required properties and ultimately to design catalysts by computer. In this account we first review how thermodynamic properties such as oxidation-reduction potentials (E0), acidities (pKa), and hydride donor abilities (ΔGH-) form the basis for a systematic design of molecular catalysts for reactions that are critical for a secure energy future (hydrogen evolution and oxidation, oxygen and nitrogen reduction, and carbon dioxide reduction). We highlight how density functional theory allows us to determine and predict these properties within “chemical” accuracy (~ 0.06 eV for redox potentials, ~ 1 pKa unit for pKa values, and ~ 1.5 kcal/mol for hydricities). These quantities determine free energy maps and profiles associated with catalytic cycles, i.e. the relative energies of intermediates, and help us distinguish between desirable and high-energy pathways and mechanisms. Good catalysts have flat profiles that avoid high activation barriers due to low and high energy intermediates. We illustrate how the criterion of a flat energy profile lends itself to the prediction of design points by computer for optimum catalysts. This research was carried out in the Center for Molecular Electro-catalysis, an Energy Frontier Research Center funded by the U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences. Pacific Northwest National Laboratory (PNNL) is operated for the DOE by Battelle.

    9. GPU COMPUTING FOR PARTICLE TRACKING

      SciTech Connect (OSTI)

      Nishimura, Hiroshi; Song, Kai; Muriki, Krishna; Sun, Changchun; James, Susan; Qin, Yong

      2011-03-25

      This is a feasibility study of using a modern Graphics Processing Unit (GPU) to parallelize the accelerator particle tracking code. To demonstrate the massive parallelization features provided by GPU computing, a simplified TracyGPU program is developed for dynamic aperture calculation. Performances, issues, and challenges from introducing GPU are also discussed. General purpose Computation on Graphics Processing Units (GPGPU) bring massive parallel computing capabilities to numerical calculation. However, the unique architecture of GPU requires a comprehensive understanding of the hardware and programming model to be able to well optimize existing applications. In the field of accelerator physics, the dynamic aperture calculation of a storage ring, which is often the most time consuming part of the accelerator modeling and simulation, can benefit from GPU due to its embarrassingly parallel feature, which fits well with the GPU programming model. In this paper, we use the Tesla C2050 GPU which consists of 14 multi-processois (MP) with 32 cores on each MP, therefore a total of 448 cores, to host thousands ot threads dynamically. Thread is a logical execution unit of the program on GPU. In the GPU programming model, threads are grouped into a collection of blocks Within each block, multiple threads share the same code, and up to 48 KB of shared memory. Multiple thread blocks form a grid, which is executed as a GPU kernel. A simplified code that is a subset of Tracy++ [2] is developed to demonstrate the possibility of using GPU to speed up the dynamic aperture calculation by having each thread track a particle.

    10. Controlling data transfers from an origin compute node to a target compute node

      DOE Patents [OSTI]

      Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

      2011-06-21

      Methods, apparatus, and products are disclosed for controlling data transfers from an origin compute node to a target compute node that include: receiving, by an application messaging module on the target compute node, an indication of a data transfer from an origin compute node to the target compute node; and administering, by the application messaging module on the target compute node, the data transfer using one or more messaging primitives of a system messaging module in dependence upon the indication.

    11. Scott Runnels of Computational Physics

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

      Scott Runnels of Computational Physics to teach at West Point March 19, 2013 LOS ALAMOS, N. M., March 19, 2013- Under an agreement between Los Alamos National Laboratory and the U.S. Military Academy, Scott Runnels has been selected for a two-year faculty post in the Department of Physics and Nuclear Engineering at West Point. The teaching position is intended to strengthen the ties between the U.S. national laboratories and the U.S. military academies by bringing in a top scientist to teach at

    12. computational-hydaulics-march-30

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

      and Aerodynamics using STAR-CCM+ for CFD Analysis March 30-31, 2011 Argonne, Illinois Dr. Steven Lottes This email address is being protected from spambots. You need JavaScript enabled to view it. Announcement pdficon small A training course in the use of computational hydraulics and aerodynamics CFD software using CD-adapco's STAR-CCM+ for analysis was held at TRACC from March 30-31, 2011. The course assumes a basic knowledge of fluid mechanics and made extensive use of hands on tutorials.

    13. computational-structural-mechanics-training

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

      Table of Contents Date Location Training Course: HyperMesh and HyperView April 12-14, 2011 Argonne TRACC Argonne, IL Introductory Course: Developing Compute-efficient, Quality Models with LS-PrePost® 3 on the TRACC Cluster October 21-22, 2010 Argonne TRACC West Chicago, IL Modeling and Simulation with LS-DYNA®: Insights into Modeling with a Goal of Providing Credible Predictive Simulations February 11-12, 2010 Argonne TRACC West Chicago, IL Introductory Course: Using LS-OPT® on the TRACC

    14. An Arbitrary Precision Computation Package

      Energy Science and Technology Software Center (OSTI)

      2003-06-14

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

    15. Computer network control plane tampering monitor

      DOE Patents [OSTI]

      Michalski, John T.; Tarman, Thomas D.; Black, Stephen P.; Torgerson, Mark D.

      2010-06-08

      A computer network control plane tampering monitor that detects unauthorized alteration of a label-switched path setup for an information packet intended for transmission through a computer network.

    16. Fermilab | Science | Particle Physics | Scientific Computing

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

      Today Fermilab serves as one of two US computing centers that processes and analyzes data from experiments at the Large Hadron Collider. The worldwide LHC computing project is one ...

    17. NERSC Intern Wins Award for Computing Achievement

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

      (NCWIT) Aspirations in Computing award on Saturday, March 16, 2013 in a ceremony in San Jose, CA. The award honors young women at the high school level for their computing-related...

    18. The Brain: Key To a Better Computer

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

      Brain: Key To a Better Computer - Sandia Energy Energy Search Icon Sandia Home Locations ... Twitter Google + Vimeo GovDelivery SlideShare The Brain: Key To a Better Computer Home...

    19. High Performance Computational Biology: A Distributed computing Perspective (2010 JGI/ANL HPC Workshop)

      ScienceCinema (OSTI)

      Konerding, David [Google, Inc

      2011-06-08

      David Konerding from Google, Inc. gives a presentation on "High Performance Computational Biology: A Distributed Computing Perspective" at the JGI/Argonne HPC Workshop on January 26, 2010.

    20. Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering (Presentation)

      SciTech Connect (OSTI)

      Kim, G.; Pesaran, A.; Smith, K.; Graf, P.; Jun, M.; Yang, C.; Li, G.; Li, S.; Hochman, A.; Tselepidakis, D.; White, J.

      2014-06-01

      This presentation discusses the significant enhancement of computational efficiency in nonlinear multiscale battery model for computer aided engineering in current research at NREL.

    1. NERSC Intern Wins Award for Computing Achievement

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

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

    2. Validating Computer-Designed Proteins for Vaccines

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

      Validating Computer-Designed Proteins for Vaccines Validating Computer-Designed Proteins for Vaccines Print Thursday, 21 August 2014 12:05 In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent

    3. Future Computing Needs for Innovative Confinement Concepts

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

      of Plasma Science and Innovation Center Current Computing Utilization and Resources Near Term Needs Concluding Comments Future Computing Needs for Innovative Confinement Concepts Charlson C. Kim charlson@aa.washington.edu Plasma Science and Innovation Center University of Washington, Seattle August 3, 2010 Large Scale Computing Needs for Fusion Energy Science Workshop Rockville, MD Charlson C. Kim, PSI-Center Future Computing Needs of ICC's Introduction of Plasma Science and Innovation Center

    4. Computers and Monitors | The Ames Laboratory

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

      Computers and Monitors Buying a Computer or Monitor If you have a need to purchase a computer and/or monitor, follow this How To Guide to search the registry for EPEAT products. On your purchase requisition, indicate whether or not the item is EPEAT registered. *Acceptable Justifications/exceptions will be rare for computer or monitor through the Ames Laboratory storeroom. Both items offered through the storeroom are registered as EPEAT Gold* Office Electronics - look for ENERGY STAR and

    5. NERSC National Energy Research Scientific Computing Center

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

      National Energy Research Scientific Computing Center 2007 Annual Report National Energy Research Scientific Computing Center 2007 Annual Report Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720-8148 This work was supported by the Director, Office of Science, Office of Ad- vanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. LBNL-1143E, October 2008 iii National Energy Research Scientific Computing

    6. National Energ y Research Scientific Computing Center

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

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

    7. Computing contingency statistics in parallel.

      SciTech Connect (OSTI)

      Bennett, Janine Camille; Thompson, David; Pebay, Philippe Pierre

      2010-09-01

      Statistical analysis is typically used to reduce the dimensionality of and infer meaning from data. A key challenge of any statistical analysis package aimed at large-scale, distributed data is to address the orthogonal issues of parallel scalability and numerical stability. Many statistical techniques, e.g., descriptive statistics or principal component analysis, are based on moments and co-moments and, using robust online update formulas, can be computed in an embarrassingly parallel manner, amenable to a map-reduce style implementation. In this paper we focus on contingency tables, through which numerous derived statistics such as joint and marginal probability, point-wise mutual information, information entropy, and {chi}{sup 2} independence statistics can be directly obtained. However, contingency tables can become large as data size increases, requiring a correspondingly large amount of communication between processors. This potential increase in communication prevents optimal parallel speedup and is the main difference with moment-based statistics where the amount of inter-processor communication is independent of data size. Here we present the design trade-offs which we made to implement the computation of contingency tables in parallel.We also study the parallel speedup and scalability properties of our open source implementation. In particular, we observe optimal speed-up and scalability when the contingency statistics are used in their appropriate context, namely, when the data input is not quasi-diffuse.

    8. Argonne's Laboratory computing center - 2007 annual report.

      SciTech Connect (OSTI)

      Bair, R.; Pieper, G. W.

      2008-05-28

      Argonne National Laboratory founded the Laboratory Computing Resource Center (LCRC) in the spring of 2002 to help meet pressing program needs for computational modeling, simulation, and analysis. The guiding mission is to provide critical computing resources that accelerate the development of high-performance computing expertise, applications, and computations to meet the Laboratory's challenging science and engineering missions. In September 2002 the LCRC deployed a 350-node computing cluster from Linux NetworX to address Laboratory needs for mid-range supercomputing. This cluster, named 'Jazz', achieved over a teraflop of computing power (1012 floating-point calculations per second) on standard tests, making it the Laboratory's first terascale computing system and one of the 50 fastest computers in the world at the time. Jazz was made available to early users in November 2002 while the system was undergoing development and configuration. In April 2003, Jazz was officially made available for production operation. Since then, the Jazz user community has grown steadily. By the end of fiscal year 2007, there were over 60 active projects representing a wide cross-section of Laboratory expertise, including work in biosciences, chemistry, climate, computer science, engineering applications, environmental science, geoscience, information science, materials science, mathematics, nanoscience, nuclear engineering, and physics. Most important, many projects have achieved results that would have been unobtainable without such a computing resource. The LCRC continues to foster growth in the computational science and engineering capability and quality at the Laboratory. Specific goals include expansion of the use of Jazz to new disciplines and Laboratory initiatives, teaming with Laboratory infrastructure providers to offer more scientific data management capabilities, expanding Argonne staff use of national computing facilities, and improving the scientific reach and performance of Argonne's computational applications. Furthermore, recognizing that Jazz is fully subscribed, with considerable unmet demand, the LCRC has framed a 'path forward' for additional computing resources.

    9. Radiological Safety Analysis Computer Program

      Energy Science and Technology Software Center (OSTI)

      2001-08-28

      RSAC-6 is the latest version of the RSAC program. It calculates the consequences of a release of radionuclides to the atmosphere. Using a personal computer, a user can generate a fission product inventory; decay and in-grow the inventory during transport through processes, facilities, and the environment; model the downwind dispersion of the activity; and calculate doses to downwind individuals. Internal dose from the inhalation and ingestion pathways is calculated. External dose from ground surface andmore » plume gamma pathways is calculated. New and exciting updates to the program include the ability to evaluate a release to an enclosed room, resuspension of deposited activity and evaluation of a release up to 1 meter from the release point. Enhanced tools are included for dry deposition, building wake, occupancy factors, respirable fraction, AMAD adjustment, updated and enhanced radionuclide inventory and inclusion of the dose-conversion factors from FOR 11 and 12.« less

    10. Collective network for computer structures

      DOE Patents [OSTI]

      Blumrich, Matthias A. (Ridgefield, CT); Coteus, Paul W. (Yorktown Heights, NY); Chen, Dong (Croton On Hudson, NY); Gara, Alan (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Hoenicke, Dirk (Ossining, NY); Takken, Todd E. (Brewster, NY); Steinmacher-Burow, Burkhard D. (Wernau, DE); Vranas, Pavlos M. (Bedford Hills, NY)

      2011-08-16

      A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices ate included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network and class structures. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to needs of a processing algorithm.

    11. Foundational Tools for Petascale Computing

      SciTech Connect (OSTI)

      Miller, Barton

      2014-05-19

      The Paradyn project has a history of developing algorithms, techniques, and software that push the cutting edge of tool technology for high-end computing systems. Under this funding, we are working on a three-year agenda to make substantial new advances in support of new and emerging Petascale systems. The overall goal for this work is to address the steady increase in complexity of these petascale systems. Our work covers two key areas: (1) The analysis, instrumentation and control of binary programs. Work in this area falls under the general framework of the Dyninst API tool kits. (2) Infrastructure for building tools and applications at extreme scale. Work in this area falls under the general framework of the MRNet scalability framework. Note that work done under this funding is closely related to work done under a contemporaneous grant, High-Performance Energy Applications and Systems, SC0004061/FG02-10ER25972, UW PRJ36WV.

    12. Collective network for computer structures

      DOE Patents [OSTI]

      Blumrich, Matthias A; Coteus, Paul W; Chen, Dong; Gara, Alan; Giampapa, Mark E; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E; Steinmacher-Burow, Burkhard D; Vranas, Pavlos M

      2014-01-07

      A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to the needs of a processing algorithm.

    13. ASCR Workshop on Quantum Computing for Science

      SciTech Connect (OSTI)

      Aspuru-Guzik, Alan; Van Dam, Wim; Farhi, Edward; Gaitan, Frank; Humble, Travis; Jordan, Stephen; Landahl, Andrew J; Love, Peter; Lucas, Robert; Preskill, John; Muller, Richard P.; Svore, Krysta; Wiebe, Nathan; Williams, Carl

      2015-06-01

      This report details the findings of the DOE ASCR Workshop on Quantum Computing for Science that was organized to assess the viability of quantum computing technologies to meet the computational requirements of the DOE’s science and energy mission, and to identify the potential impact of quantum technologies. The workshop was held on February 17-18, 2015, in Bethesda, MD, to solicit input from members of the quantum computing community. The workshop considered models of quantum computation and programming environments, physical science applications relevant to DOE's science mission as well as quantum simulation, and applied mathematics topics including potential quantum algorithms for linear algebra, graph theory, and machine learning. This report summarizes these perspectives into an outlook on the opportunities for quantum computing to impact problems relevant to the DOE’s mission as well as the additional research required to bring quantum computing to the point where it can have such impact.

    14. Cupola Furnace Computer Process Model

      SciTech Connect (OSTI)

      Seymour Katz

      2004-12-31

      The cupola furnace generates more than 50% of the liquid iron used to produce the 9+ million tons of castings annually. The cupola converts iron and steel into cast iron. The main advantages of the cupola furnace are lower energy costs than those of competing furnaces (electric) and the ability to melt less expensive metallic scrap than the competing furnaces. However the chemical and physical processes that take place in the cupola furnace are highly complex making it difficult to operate the furnace in optimal fashion. The results are low energy efficiency and poor recovery of important and expensive alloy elements due to oxidation. Between 1990 and 2004 under the auspices of the Department of Energy, the American Foundry Society and General Motors Corp. a computer simulation of the cupola furnace was developed that accurately describes the complex behavior of the furnace. When provided with the furnace input conditions the model provides accurate values of the output conditions in a matter of seconds. It also provides key diagnostics. Using clues from the diagnostics a trained specialist can infer changes in the operation that will move the system toward higher efficiency. Repeating the process in an iterative fashion leads to near optimum operating conditions with just a few iterations. More advanced uses of the program have been examined. The program is currently being combined with an ''Expert System'' to permit optimization in real time. The program has been combined with ''neural network'' programs to affect very easy scanning of a wide range of furnace operation. Rudimentary efforts were successfully made to operate the furnace using a computer. References to these more advanced systems will be found in the ''Cupola Handbook''. Chapter 27, American Foundry Society, Des Plaines, IL (1999).

    15. Chameleon: A Computer Science Testbed as Application of Cloud...

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

      Chameleon: A Computer Science Testbed as Application of Cloud Computing Event Sponsor: Mathematics and Computing Science Brownbag Lunch Start Date: Dec 15 2015 - 12:00pm Building...

    16. 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 ...

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

      Office of Science (SC) Website

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

    18. Technical Standards, Guidance on MELCOR computer code - May 3...

      Office of Environmental Management (EM)

      Standards, Guidance on MELCOR computer code - May 3, 2004 Technical Standards, Guidance on MELCOR computer code - May 3, 2004 May 3, 2004 MELCOR Computer Code Application Guidance...

    19. High-performance computer system installed at Los Alamos National...

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

      High-performance computer system installed at Lab High-performance computer system installed at Los Alamos National Laboratory New high-performance computer system, called Wolf,...

    20. Locating hardware faults in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J.; Megerian, Mark G.; Ratterman, Joseph D.; Smith, Brian E.

      2010-04-13

      Locating hardware faults in a parallel computer, including defining within a tree network of the parallel computer two or more sets of non-overlapping test levels of compute nodes of the network that together include all the data communications links of the network, each non-overlapping test level comprising two or more adjacent tiers of the tree; defining test cells within each non-overlapping test level, each test cell comprising a subtree of the tree including a subtree root compute node and all descendant compute nodes of the subtree root compute node within a non-overlapping test level; performing, separately on each set of non-overlapping test levels, an uplink test on all test cells in a set of non-overlapping test levels; and performing, separately from the uplink tests and separately on each set of non-overlapping test levels, a downlink test on all test cells in a set of non-overlapping test levels.

    1. Impact analysis on a massively parallel computer

      SciTech Connect (OSTI)

      Zacharia, T.; Aramayo, G.A.

      1994-06-01

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

    2. Performing an allreduce operation on a plurality of compute nodes of a parallel computer

      DOE Patents [OSTI]

      Faraj, Ahmad (Rochester, MN)

      2012-04-17

      Methods, apparatus, and products are disclosed for performing an allreduce operation on a plurality of compute nodes of a parallel computer. Each compute node includes at least two processing cores. Each processing core has contribution data for the allreduce operation. Performing an allreduce operation on a plurality of compute nodes of a parallel computer includes: establishing one or more logical rings among the compute nodes, each logical ring including at least one processing core from each compute node; performing, for each logical ring, a global allreduce operation using the contribution data for the processing cores included in that logical ring, yielding a global allreduce result for each processing core included in that logical ring; and performing, for each compute node, a local allreduce operation using the global allreduce results for each processing core on that compute node.

    3. Multicore: Fallout from a Computing Evolution

      ScienceCinema (OSTI)

      Yelick, Kathy [Director, NERSC

      2009-09-01

      July 22, 2008 Berkeley Lab lecture: Parallel computing used to be reserved for big science and engineering projects, but in two years that's all changed. Even laptops and hand-helds use parallel processors. Unfortunately, the software hasn't kept pace. Kathy Yelick, Director of the National Energy Research Scientific Computing Center at Berkeley Lab, describes the resulting chaos and the computing community's efforts to develop exciting applications that take advantage of tens or hundreds of processors on a single chip.

    4. Validating Computer-Designed Proteins for Vaccines

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

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    5. Shaping Future Supercomputing Argonne Leadership Computing Facility

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

      0 1 1 a n n u a l r e p o r t Shaping Future Supercomputing Argonne Leadership Computing Facility ANL-12/22 Argonne Leadership Computing Facility 2 0 1 1 a l c f a n n u a l r e p o r t w w w . a l c f . a n l . g o v Contents Overview .......................................2 Mira ..............................................4 Science Highlights ...........................8 Computing Resources ..................... 26 2011 ALCF Publications .................. 28 2012 INCITE Projects

    6. Present and Future Computing Requirements for PETSc

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

      and Future Computing Requirements for PETSc Jed Brown jedbrown@mcs.anl.gov Mathematics and Computer Science Division, Argonne National Laboratory Department of Computer Science, University of Colorado Boulder NERSC ASCR Requirements for 2017 2014-01-15 Extending PETSc's Hierarchically Nested Solvers ANL Lois C. McInnes, Barry Smith, Jed Brown, Satish Balay UChicago Matt Knepley IIT Hong Zhang LBL Mark Adams Linear solvers, nonlinear solvers, time integrators, optimization methods (merged TAO)

    7. High Performance Computing Student Career Resources

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

      HPC » Students High Performance Computing Student Career Resources Explore the multiple dimensions of a career at Los Alamos Lab: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Contact Us Student Liaison Josephine Kilde (505) 667-5086 Email High Performance Computing Capabilities The High Performance Computing (HPC) Division supports the Laboratory mission by managing world-class Supercomputing Centers. Our

    8. Validating Computer-Designed Proteins for Vaccines

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

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    9. Validating Computer-Designed Proteins for Vaccines

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

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    10. Validating Computer-Designed Proteins for Vaccines

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

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    11. INCITE Program | Argonne Leadership Computing Facility

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

      Science at ALCF Allocation Programs INCITE Program 5 Checks & 5 Tips for INCITE Mira Computational Readiness Assessment ALCC Program Director's Discretionary (DD) Program Early Science Program INCITE 2016 Projects ALCC 2015 Projects ESP Projects View All Projects Publications ALCF Tech Reports Industry Collaborations INCITE Program Innovative and Novel Computational Impact on Theory and Experiment (INCITE) Program The INCITE program provides allocations to computationally intensive,

    12. Improved computer models support genetics research

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

      February » Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods provide insight into why genes are activated. February 8, 2013 When complete, these barriers will be a portion of the NMSSUP upgrade. This molecular structure depicts a yeast transfer ribonucleic acid (tRNA), which carries a single amino acid to the ribosome during protein construction. A combined

    13. Fermilab | Science at Fermilab | Computing | Networking

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

      Detectors and Computing Detectors and Computing Computing Networking Physicists are constantly exchanging information, within Fermilab and between Fermilab and collaborating institutions. They do this from the design phase of an experiment to long after they have finished collecting data. To move huge amounts of data from one place to another, Fermilab needs high-performance networking. For years, Fermilab has been the largest user of Energy Services Network, or ESnet, a network the Department

    14. Accounts Policy | Argonne Leadership Computing Facility

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

      Accounts Policy All holders of user accounts must abide by all appropriate Argonne Leadership Computing Facility and Argonne National Laboratory computing usage policies. These are described at the time of the account request and include requirements such as using a sufficiently strong password, appropriate use of the system, and so on. Any user not following these requirements will have their account disabled. Furthermore, ALCF resources are intended to be used as a computing resource for

    15. Introduction to High Performance Computing Using GPUs

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

      HPC Using GPUs Introduction to High Performance Computing Using GPUs July 11, 2013 NERSC, NVIDIA, and The Portland Group presented a one-day workshop "Introduction to High Performance Computing Using GPUs" on July 11, 2013 in Room 250 of Sutardja Dai Hall on the University of California, Berkeley, campus. Registration was free and open to all NERSC users; Berkeley Lab Researchers; UC students, faculty, and staff; and users of the Oak Ridge Leadership Computing Facility. This workshop

    16. James Osborn | Argonne Leadership Computing Facility

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

      Osborn Computational Scientist / Catalyst Team Lead James Osborn Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 2126 Argonne, IL 60439 630-252-6327 osborn@alcf.anl.gov James Osborn is a Computational Scientist at the ALCF and a Fellow of the Computation Institute at The University of Chicago and Argonne. He specializes in the application of Lattice Field Theory, Random Matrix Theory, and cluster algorithms to strongly interacting systems. He is also interested in

    17. Marta Garcia Martinez | Argonne Leadership Computing Facility

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

      Marta Garcia Martinez Assistant Computational Scientist Marta Garcia Martinez Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1132 Argonne IL, 60439 630-252-0091 mgarcia@alcf.anl.gov http://web.alcf.anl.gov/~mgarcia/ Marta García is an Assistant Computational Scientist at the ALCF. She is part of the Catalyst Team, where she focuses on assisting Computational Fluid Dynamics projects to maximize and accelerate their research on ALCF resources. She obtained a degree in

    18. Computer Networking Group | Stanford Synchrotron Radiation Lightsource

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

      Computer Networking Group Do you need help? For assistance please submit a CNG Help Request ticket. CNG Logo Chris Ramirez SSRL Computer and Networking Group (650) 926-2901 | email Jerry Camuso SSRL Computer and Networking Group (650) 926-2994 | email Networking Support The Networking group provides connectivity and communications services for SSRL. The services provided by the Networking Support Group include: Local Area Network support for cable and wireless connectivity. Installation and

    19. Digital computer operation of a nuclear reactor

      DOE Patents [OSTI]

      Colley, Robert W. (Richland, WA)

      1984-01-01

      A method is described for the safe operation of a complex system such as a nuclear reactor using a digital computer. The computer is supplied with a data base containing a list of the safe state of the reactor and a list of operating instructions for achieving a safe state when the actual state of the reactor does not correspond to a listed safe state, the computer selects operating instructions to return the reactor to a safe state.

    20. User Advisory Council | Argonne Leadership Computing Facility

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

      About Overview History Staff Directory Our Teams User Advisory Council Careers Margaret Butler Fellowship Visiting Us Contact Us User Advisory Council The User Advisory Council meets regularly to review major policies and to provide user feedback to the facility leadership. All council members are active Principal Investigators or users of ALCF computational resources through one or more of the allocation programs. Martin Berzins Professor Department of Computer Science Scientific Computing and

    1. Improved computer models support genetics research

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

      Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods provide insight into why genes are activated. February 8, 2013 When complete, these barriers will be a portion of the NMSSUP upgrade. This molecular structure depicts a yeast transfer ribonucleic acid (tRNA), which carries a single amino acid to the ribosome during protein construction. A combined experimental and

    2. Digital computer operation of a nuclear reactor

      DOE Patents [OSTI]

      Colley, R.W.

      1982-06-29

      A method is described for the safe operation of a complex system such as a nuclear reactor using a digital computer. The computer is supplied with a data base containing a list of the safe state of the reactor and a list of operating instructions for achieving a safe state when the actual state of the reactor does not correspond to a listed safe state, the computer selects operating instructions to return the reactor to a safe state.

    3. About ALCF | Argonne Leadership Computing Facility

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

      HPC at Argonne About ALCF The Argonne Leadership Computing Facility's (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and expertise. ALCF projects cover many scientific disciplines, ranging

    4. Covered Product Category: Computers | Department of Energy

      Office of Environmental Management (EM)

      Computers Covered Product Category: Computers The Federal Energy Management Program (FEMP) provides acquisition guidance for computers, a product category covered by the ENERGY STAR program. Federal laws and requirements mandate that agencies buy ENERGY STAR-qualified products in all product categories covered by this program and any acquisition actions that are not specifically exempted by law. MEETING EFFICIENCY REQUIREMENTS FOR FEDERAL PURCHASES The U.S. Environmental Protection Agency (EPA)

    5. Extreme Scale Computing, Co-design

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

      ... software, and hardware in an integrated computational co-design process. * Designed Cruft, a suite of molecular dynamics proxy applications (software) developed to explore ...

    6. Computer virus information update CIAC-2301

      SciTech Connect (OSTI)

      Orvis, W.J.

      1994-01-15

      While CIAC periodically issues bulletins about specific computer viruses, these bulletins do not cover all the computer viruses that affect desktop computers. The purpose of this document is to identify most of the known viruses for the MS-DOS and Macintosh platforms and give an overview of the effects of each virus. The authors also include information on some windows, Atari, and Amiga viruses. This document is revised periodically as new virus information becomes available. This document replaces all earlier versions of the CIAC Computer virus Information Update. The date on the front cover indicates date on which the information in this document was extracted from CIAC`s Virus database.

    7. Bayesian approaches for combining computational model output...

      Office of Scientific and Technical Information (OSTI)

      for combining computational model output and physical observations Authors: Higdon, David M 1 ; Lawrence, Earl 1 ; Heitmann, Katrin 2 ; Habib, Salman 2 + Show Author...

    8. Climate Modeling using High-Performance Computing

      SciTech Connect (OSTI)

      Mirin, A A

      2007-02-05

      The Center for Applied Scientific Computing (CASC) and the LLNL Climate and Carbon Science Group of Energy and Environment (E and E) are working together to improve predictions of future climate by applying the best available computational methods and computer resources to this problem. Over the last decade, researchers at the Lawrence Livermore National Laboratory (LLNL) have developed a number of climate models that provide state-of-the-art simulations on a wide variety of massively parallel computers. We are now developing and applying a second generation of high-performance climate models. Through the addition of relevant physical processes, we are developing an earth systems modeling capability as well.

    9. Computable General Equilibrium Models for Sustainability Impact...

      Open Energy Info (EERE)

      Publications, Softwaremodeling tools User Interface: Other Website: iatools.jrc.ec.europa.eudocsecolecon2006.pdf Computable General Equilibrium Models for Sustainability...

    10. Computers in Commercial Buildings - Table 3

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    11. Computers in Commercial Buildings - Table 2

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    12. Computers in Commercial Buildings - Table 4

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    13. Computers in Commercial Buildings - Table 1

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    14. Computational Scientist | Princeton Plasma Physics Lab

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

      Department, with interest in leadership class computing of gyrokinetic fusion edge plasma research. A candidate who has knowledge in hybrid parallel programming with MPI, OpenMP,...

    15. Computational Design of Interfaces for Photovoltaics | Argonne...

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

      Computational Design of Interfaces for Photovoltaics PI Name: Noa Marom PI Email: nmarom@tulane.edu Institution: Tulane University Allocation Program: ALCC Allocation Hours at...

    16. Computational Challenges for Nanostructure Solar Cells

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

      Challenges for Nanostructure Solar Cells Computational Challenges for Nanostructure Solar Cells ZZ2.jpg Key Challenges: Current nanostructure solar cells often have energy...

    17. Integrated Computational Materials Engineering (ICME) for Mg...

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

      Project (Part 1) Integrated Computational Materials Engineering (ICME) for Mg: International Pilot Project (Part 1) 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit...

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

      Office of Scientific and Technical Information (OSTI)

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

    19. BETO Webinar: Computational Studies of Lignocellulose Deconstruction

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

      ... - lower temperature CH2-CH2 cleavage - facilitated by CaO Dehydrogenation Electron transfer > Exploiting quantum and classical computational methods to study the atomistic ...

    20. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing...

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

      Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Print Rotaxanes are mechanically interlocked molecular architectures consisting of a dumbbell-shaped molecule, the...

    1. Hal Finkel | Argonne Leadership Computing Facility

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

      Hal Finkel Assistant Computational Scientist Hal Finkel Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 2126 Argonne, IL 60439 630-252-0023 hfinkel

    2. Anouar Benali | Argonne Leadership Computing Facility

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

      Anouar Benali Assistant Computational Scientist Anouar Benali Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 2127 Argonne, IL 60439 630-252-0058 benali@anl

    3. Adrian C. Pope | Argonne Leadership Computing Facility

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

      Adrian C. Pope Assistant Computational Scientist Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 11213 Argonne, IL 60439 630-252-8745 apope

    4. Innovative Computational Tools for Reducing Exploration Risk...

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

      of Water-Rock Interactions and Magnetotelluric Surveys Innovative Computational Tools for Reducing Exploration Risk Through Integration of Water-Rock Interactions and ...

    5. Inexpensive computer data-acquisition system

      SciTech Connect (OSTI)

      Galvin, J.E.; Brown, I.G.

      1985-10-01

      A system based on an Apple II+ personal computer is used for on-line monitoring of ion-beam characteristics in accelerator ion source development.

    6. Ni Clusterbank Replacement Project | Argonne Leadership Computing...

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

      Ni Clusterbank Replacement Project Event Sponsor: Argonne Leadership Computing Facility Seminar Start Date: Oct 20 2015 - 12:00pm BuildingRoom: Building 241Room D173...

    7. Computer System Retirement Guidelines | Department of Energy

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

      contains DOE headquarters-specific information that may be adapted for use by any site or organization PDF icon Computer System Retirement Guidelines More Documents & Publications...

    8. Nichols A. Romero | Argonne Leadership Computing Facility

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

      Nichols A. Romero Principal Project Specialist - Computational Science Catalyst Team Lead Nichols Romero Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm....

    9. 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.

    10. Cobalt Scheduler | Argonne Leadership Computing Facility

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

      Narayan Desai, "Bandwidth-Aware Resource Management for Extreme Scale Systems", IEEEACM International Conference for High Performance Computing, Networking, Storage, and...

    11. User Guides | Argonne Leadership Computing Facility

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

      MiraCetusVesta Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. Feedback...

    12. New User Guide | Argonne Leadership Computing Facility

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

      Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. Feedback Form New User Guide USER TIP:...

    13. Our Teams | Argonne Leadership Computing Facility

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

      work directly with project teams to maximize and accelerate their research efforts. With multidisciplinary domain expertise, a deep knowledge of the ALCF computing environment,...

    14. Collaboration to advance high-performance computing

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

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

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

      Office of Scientific and Technical Information (OSTI)

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

    16. Smart Grid Computational Tool | Open Energy Information

      Open Energy Info (EERE)

      project benefits. The Smart Grid Computational Tool employs the benefit analysis methodology that DOE uses to evaluate the Recovery Act smart grid projects. How it works: The...

    17. Argonne's Super Computer Mira | Argonne National Laboratory

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

      Argonne's Super Computer Mira Share Browse By - Any - Energy -Energy efficiency --Vehicles ---Alternative fuels ---Diesel ---Electric drive technology ---Hybrid & electric vehicles...

    18. Modeling of Geothermal Reservoirs: Fundamental Processes, Computer...

      Open Energy Info (EERE)

      of Geothermal Reservoirs: Fundamental Processes, Computer Simulation and Field Applications Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article:...

    19. Section 23: Models and Computer Codes

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

      Application-2014 for the Waste Isolation Pilot Plant Models and Computer Codes (40 CFR 194.23) United States Department of Energy Waste Isolation Pilot Plant Carlsbad Field...

    20. 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 ...

    1. Radiation Detection Computational Benchmark Scenarios

      SciTech Connect (OSTI)

      Shaver, Mark W.; Casella, Andrew M.; Wittman, Richard S.; McDonald, Ben S.

      2013-09-24

      Modeling forms an important component of radiation detection development, allowing for testing of new detector designs, evaluation of existing equipment against a wide variety of potential threat sources, and assessing operation performance of radiation detection systems. This can, however, result in large and complex scenarios which are time consuming to model. A variety of approaches to radiation transport modeling exist with complementary strengths and weaknesses for different problems. This variety of approaches, and the development of promising new tools (such as ORNL’s ADVANTG) which combine benefits of multiple approaches, illustrates the need for a means of evaluating or comparing different techniques for radiation detection problems. This report presents a set of 9 benchmark problems for comparing different types of radiation transport calculations, identifying appropriate tools for classes of problems, and testing and guiding the development of new methods. The benchmarks were drawn primarily from existing or previous calculations with a preference for scenarios which include experimental data, or otherwise have results with a high level of confidence, are non-sensitive, and represent problem sets of interest to NA-22. From a technical perspective, the benchmarks were chosen to span a range of difficulty and to include gamma transport, neutron transport, or both and represent different important physical processes and a range of sensitivity to angular or energy fidelity. Following benchmark identification, existing information about geometry, measurements, and previous calculations were assembled. Monte Carlo results (MCNP decks) were reviewed or created and re-run in order to attain accurate computational times and to verify agreement with experimental data, when present. Benchmark information was then conveyed to ORNL in order to guide testing and development of hybrid calculations. The results of those ADVANTG calculations were then sent to PNNL for compilation. This is a report describing the details of the selected Benchmarks and results from various transport codes.

    2. In the OSTI Collections: High-Performance Computing | OSTI, US...

      Office of Scientific and Technical Information (OSTI)

      Performance Computing Computing efficiently Programming efficiently Correcting mistakes, avoiding failures Projections References Research Organizations Reports Available through ...

    3. 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

    4. Guide to Preventing Computer Software Piracy

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

      2001-07-12

      Guide to Preventing Computer Software Piracy It is the intent of the Department of Energy (DOE) to issue guidance in accordance with Federal CIO Council recommendations and in compliance with Executive Order 13103. The guidance in this document is based on the CIO Council's recommendations in reference to computer software piracy, and applies to all DOE elements. Canceled by DOE N 205.18

    5. Debugging a high performance computing program

      DOE Patents [OSTI]

      Gooding, Thomas M.

      2014-08-19

      Methods, apparatus, and computer program products are disclosed for debugging a high performance computing program by gathering lists of addresses of calling instructions for a plurality of threads of execution of the program, assigning the threads to groups in dependence upon the addresses, and displaying the groups to identify defective threads.

    6. Debugging a high performance computing program

      DOE Patents [OSTI]

      Gooding, Thomas M.

      2013-08-20

      Methods, apparatus, and computer program products are disclosed for debugging a high performance computing program by gathering lists of addresses of calling instructions for a plurality of threads of execution of the program, assigning the threads to groups in dependence upon the addresses, and displaying the groups to identify defective threads.

    7. Argonne's Magellan Cloud Computing Research Project

      ScienceCinema (OSTI)

      Beckman, Pete

      2013-04-19

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

    8. Multiprocessor computer overset grid method and apparatus

      DOE Patents [OSTI]

      Barnette, Daniel W.; Ober, Curtis C.

      2003-01-01

      A multiprocessor computer overset grid method and apparatus comprises associating points in each overset grid with processors and using mapped interpolation transformations to communicate intermediate values between processors assigned base and target points of the interpolation transformations. The method allows a multiprocessor computer to operate with effective load balance on overset grid applications.

    9. Low Mach Number Models in Computational Astrophysics

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

      Ann Almgren Low Mach Number Models in Computational Astrophysics February 4, 2014 Ann Almgren. Berkeley Lab Downloads Almgren-nug2014.pdf | Adobe Acrobat PDF file Low Mach Number Models in Computational Astrophysics - Ann Almgren, Berkeley Lab Last edited: 2016-02-01 08:06:52

    10. Introduction to the session: Computing with biomolecules

      SciTech Connect (OSTI)

      Head, T.; Yokomori, Takashi

      1996-12-31

      This session presents three distinct presentations: the first presentation deals with the design of a photosensitive receptor from the protein bacteriorhodopsin; the second presentation deals with biocomputing applications using DNA molecules and enzymes to implement algorithmic computations. The third presentation discusses the computational generative capabilities of DNA subsegments.

    11. Pacing a data transfer operation between compute nodes on a parallel computer

      DOE Patents [OSTI]

      Blocksome, Michael A. (Rochester, MN)

      2011-09-13

      Methods, systems, and products are disclosed for pacing a data transfer between compute nodes on a parallel computer that include: transferring, by an origin compute node, a chunk of an application message to a target compute node; sending, by the origin compute node, a pacing request to a target direct memory access (`DMA`) engine on the target compute node using a remote get DMA operation; determining, by the origin compute node, whether a pacing response to the pacing request has been received from the target DMA engine; and transferring, by the origin compute node, a next chunk of the application message if the pacing response to the pacing request has been received from the target DMA engine.

    12. Intranode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Miller, Douglas R; Ratterman, Joseph D; Smith, Brian E

      2013-07-23

      Intranode data communications in a parallel computer that includes compute nodes configured to execute processes, where the data communications include: allocating, upon initialization of a first process of a compute node, a region of shared memory; establishing, by the first process, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; sending, to a second process on the same compute node, a data communications message without determining whether the second process has been initialized, including storing the data communications message in the message buffer of the second process; and upon initialization of the second process: retrieving, by the second process, a pointer to the second process's message buffer; and retrieving, by the second process from the second process's message buffer in dependence upon the pointer, the data communications message sent by the first process.

    13. Intranode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Miller, Douglas R; Ratterman, Joseph D; Smith, Brian E

      2014-01-07

      Intranode data communications in a parallel computer that includes compute nodes configured to execute processes, where the data communications include: allocating, upon initialization of a first process of a computer node, a region of shared memory; establishing, by the first process, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; sending, to a second process on the same compute node, a data communications message without determining whether the second process has been initialized, including storing the data communications message in the message buffer of the second process; and upon initialization of the second process: retrieving, by the second process, a pointer to the second process's message buffer; and retrieving, by the second process from the second process's message buffer in dependence upon the pointer, the data communications message sent by the first process.

    14. Predictive Dynamic Security Assessment through Advanced Computing

      SciTech Connect (OSTI)

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

      2014-11-30

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

    15. Low latency, high bandwidth data communications between compute nodes in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

      2010-11-02

      Methods, parallel computers, and computer program products are disclosed for low latency, high bandwidth data communications between compute nodes in a parallel computer. Embodiments include receiving, by an origin direct memory access (`DMA`) engine of an origin compute node, data for transfer to a target compute node; sending, by the origin DMA engine of the origin compute node to a target DMA engine on the target compute node, a request to send (`RTS`) message; transferring, by the origin DMA engine, a predetermined portion of the data to the target compute node using memory FIFO operation; determining, by the origin DMA engine whether an acknowledgement of the RTS message has been received from the target DMA engine; if the an acknowledgement of the RTS message has not been received, transferring, by the origin DMA engine, another predetermined portion of the data to the target compute node using a memory FIFO operation; and if the acknowledgement of the RTS message has been received by the origin DMA engine, transferring, by the origin DMA engine, any remaining portion of the data to the target compute node using a direct put operation.

    16. Method for transferring data from an unsecured computer to a secured computer

      DOE Patents [OSTI]

      Nilsen, Curt A. (Castro Valley, CA)

      1997-01-01

      A method is described for transferring data from an unsecured computer to a secured computer. The method includes transmitting the data and then receiving the data. Next, the data is retransmitted and rereceived. Then, it is determined if errors were introduced when the data was transmitted by the unsecured computer or received by the secured computer. Similarly, it is determined if errors were introduced when the data was retransmitted by the unsecured computer or rereceived by the secured computer. A warning signal is emitted from a warning device coupled to the secured computer if (i) an error was introduced when the data was transmitted or received, and (ii) an error was introduced when the data was retransmitted or rereceived.

    17. Method and system for benchmarking computers

      DOE Patents [OSTI]

      Gustafson, John L.

      1993-09-14

      A testing system and method for benchmarking computer systems. The system includes a store containing a scalable set of tasks to be performed to produce a solution in ever-increasing degrees of resolution as a larger number of the tasks are performed. A timing and control module allots to each computer a fixed benchmarking interval in which to perform the stored tasks. Means are provided for determining, after completion of the benchmarking interval, the degree of progress through the scalable set of tasks and for producing a benchmarking rating relating to the degree of progress for each computer.

    18. Traffic information computing platform for big data

      SciTech Connect (OSTI)

      Duan, Zongtao Li, Ying Zheng, Xibin Liu, Yan Dai, Jiting Kang, Jun

      2014-10-06

      Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

    19. Large Scale Computing and Storage Requirements for Advanced Scientific

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

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

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

      Energy Savers [EERE]

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

    1. Computer Model Buildings Contaminated with Radioactive Material

      Energy Science and Technology Software Center (OSTI)

      1998-05-19

      The RESRAD-BUILD computer code is a pathway analysis model designed to evaluate the potential radiological dose incurred by an individual who works or lives in a building contaminated with radioactive material.

    2. Venkatram Vishwanath | Argonne Leadership Computing Facility

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

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

    3. Quantum Process Matrix Computation by Monte Carlo

      Energy Science and Technology Software Center (OSTI)

      2012-09-11

      The software package, processMC, is a python script that allows for the rapid modeling of small , noisy quantum systems and the computation of the averaged quantum evolution map.

    4. Bridging the Gap to 64-bit Computing

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

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

    5. Validating Computer-Designed Proteins for Vaccines

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

      apply to a variety of other vaccine targets, such as human immunodeficiency virus and influenza. Wanted: Dead or Computed As strange as it sounds, most vaccines are composed of...

    6. Validating Computer-Designed Proteins for Vaccines

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

      keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use...

    7. Data triage enables extreme-scale computing

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

      ranking large-scale data. The researchers presented a whitepaper on the subject for the Big Data Exascale Computing workshop in Japan. Significance of the research The main focus...

    8. High Performance Computing Data Center (Fact Sheet)

      SciTech Connect (OSTI)

      Not Available

      2012-08-01

      This two-page fact sheet describes the new High Performance Computing Data Center being built in the ESIF and talks about some of the capabilities and unique features of the center.

    9. 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.

    10. 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.

    11. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2001-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    12. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2003-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    13. Wei Jiang | Argonne Leadership Computing Facility

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

      Wei Jiang Assistant Computational Scientist Wei Jiang Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 2128 Argonne IL, 60439 630-252-8688 wjiang@alcf.anl.gov...

    14. High Performance Computing Data Center (Fact Sheet)

      SciTech Connect (OSTI)

      Not Available

      2014-08-01

      This two-page fact sheet describes the new High Performance Computing Data Center in the ESIF and talks about some of the capabilities and unique features of the center.

    15. Christopher J. Knight | Argonne Leadership Computing Facility

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

      Christopher J. Knight Assistant Computational Scientist Christopher Knight Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 1132 Argonne, IL 60439 630-252-9793 knightc@anl

    16. Validating Computer-Designed Proteins for Vaccines

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

      Computed As strange as it sounds, most vaccines are composed of actual dead viruses and bacteria. The idea is that presenting a dead form of the pathogen will fake your body into...

    17. PCs and Computer Terminals in Commercial Buildings

      U.S. Energy Information Administration (EIA) Indexed Site

      thousand users would be much lower. The more PCs and computer terminals used in a given building, the greater the impact on the building's energy consumption. By this measure,...

    18. Applications in Data-Intensive Computing

      SciTech Connect (OSTI)

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

      2010-04-01

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

    19. Innovative & Novel Computational Impact on Theory & Experiement...

      Office of Science (SC) Website

      DOE Leadership Computing Web Site External link Last modified: 352016 7:57:43 PM Share Page Share with Facebook Facebook External link Share with Twitter Twitter External link ...

    20. Computes Generalized Electromagnetic Interactions Between Structures

      Energy Science and Technology Software Center (OSTI)

      1999-02-20

      Object oriented software for computing generalized electromagnetic interactions between structures in the frequency domains. The software is based on integral equations. There is also a static integral equation capability.

    1. Session on computation in biological pathways

      SciTech Connect (OSTI)

      Karp, P.D.; Riley, M.

      1996-12-31

      The papers in this session focus on the development of pathway databases and computational tools for pathway analysis. The discussion involves existing databases of sequenced genomes, as well as techniques for studying regulatory pathways.

    2. Validating Computer-Designed Proteins for Vaccines

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

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has...

    3. Visualization Clusters | Argonne Leadership Computing Facility

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

      Cooley has a total of 126 compute nodes; each node has 12 CPU cores and one NVIDIA Tesla K80 dual-GPU card. Aggregate GPU peak performance is over 293 teraflops double...

    4. Human Brain vs. Computer | GE Global Research

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

      Computer Processors Beat the Human Mind in the Future? Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new ...

    5. ACM TOMS replicated computational results initiative

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

      Heroux, Michael Allen

      2015-06-03

      In this study, the scientific community relies on the peer review process for assuring the quality of published material, the goal of which is to build a body of work we can trust. Computational journals such as The ACM Transactions on Mathematical Software (TOMS) use this process for rigorously promoting the clarity and completeness of content, and citation of prior work. At the same time, it is unusual to independently confirm computational results.

    6. ACM TOMS replicated computational results initiative

      SciTech Connect (OSTI)

      Heroux, Michael Allen

      2015-06-03

      In this study, the scientific community relies on the peer review process for assuring the quality of published material, the goal of which is to build a body of work we can trust. Computational journals such as The ACM Transactions on Mathematical Software (TOMS) use this process for rigorously promoting the clarity and completeness of content, and citation of prior work. At the same time, it is unusual to independently confirm computational results.

    7. Sandia National Laboratories: Advances toward quantum computing

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

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

    8. computational-fluid-dynamics-student-thesis

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

      Fluid Dynamics Student Thesis Abstract DEVELOPMENT OF A THREE-DIMENSIONAL SCOURING METHODOLOGY AND ITS IMPLEMENTATION IN A COMMERCIAL CFD CODE FOR OPEN CHANNEL FLOW OVER A FLOODED BRIDGE DECK The Computational Fluid Dynamics staff at TRACC is supporting three students from Northern Illinois University who are working for a Masters degree. The CFD staff is directing the thesis research and working with them on three projects: (1) a three-dimensional scour computation methodology for pressure flow

    9. High Performance Computing Data Center Metering Protocol

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

      High Performance Computing Data Center Metering Protocol Prepared for: U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Federal Energy Management Program Prepared by: Thomas Wenning Michael MacDonald Oak Ridge National Laboratory September 2010 ii Introduction Data centers in general are continually using more compact and energy intensive central processing units, but the total number and size of data centers continues to increase to meet progressive computing

    10. Applying computationally efficient schemes for biogeochemical cycles

      Office of Scientific and Technical Information (OSTI)

      (ACES4BGC) (Technical Report) | SciTech Connect Applying computationally efficient schemes for biogeochemical cycles (ACES4BGC) Citation Details In-Document Search Title: Applying computationally efficient schemes for biogeochemical cycles (ACES4BGC) NCAR contributed to the ACES4BGC project through software engineering work on aerosol model implementation, build system and script changes, coupler enhancements for biogeochemical tracers, improvements to the Community Land Model (CLM) code and

    11. Data triage enables extreme-scale computing

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

      Data triage enables extreme-scale computing Data triage enables extreme-scale computing Data selection and triage are important techniques for large-scale data, which can drastically reduce the amount of data written to disk or transmitted over a network. August 1, 2014 Spatial partitioning for the ocean simulation data set. Spatial partitioning for the ocean simulation data set. The main focus for ADR is to prioritize data primarily generated by large-scale scientific simulations run on

    12. Graham Fletcher | Argonne Leadership Computing Facility

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

      Graham Fletcher Principal Project Specialist in Computational Science Graham Fletcher Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1123 Argonne, IL 60439 630-252-0755 fletcher@alcf.anl.gov Graham Fletcher is a Principal Project Specialist in Computational Science at the ALCF with a background in quantum chemistry and supercomputing. His research interests focus on the development of highly scalable methods and algorithms for the accurate and reliable prediction of

    13. Extreme Scale Computing, Co-Design

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

      Information Science, Computing, Applied Math » Extreme Scale Computing, Co-design » Publications Publications Ramon Ravelo, Qi An, Timothy C. Germann, and Brad Lee Holian, "Large-scale molecular dynamics simulations of shock induced plasticity in tantalum single crystals," AIP Conference Proceedings 1426, 1263-1266 (2012). Frank J. Cherne, Guy Dimonte, and Timothy C. Germann, "Richtymer-Meshkov instability examined with large-scale molecular dynamics simulations," AIP

    14. Extreme Scale Computing, Co-design

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

      Extreme Scale Computing, Co-design Informing system design, ensuring productive and efficient code Project Description To address the increasingly complex problems of the modern world, scientists at Los Alamos are pushing the scale of computing to the extreme, forming partnerships with other national laboratories and industry to develop supercomputers that can achieve "exaflop" speeds-that is, a quintillion (a million trillion) calculations per second. To put such speed in perspective,

    15. Account Information | Argonne Leadership Computing Facility

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

      Account Information Accounts and Access FAQ Connect & Log In Using CRYPTOCards Disk Space Quota Management Allocations Mira/Cetus/Vesta Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Account Information All computing carried out on the ALCF systems is associated with a user "account." This account is used to log onto the login servers and run jobs on the

    16. LANL computer model boosts engine efficiency

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

      LANL computer model boosts engine efficiency LANL computer model boosts engine efficiency The KIVA model has been instrumental in helping researchers and manufacturers understand combustion processes, accelerate engine development and improve engine design and efficiency. September 25, 2012 KIVA simulation of an experimental engine with DOHC quasi-symmetric pent-roof combustion chamber and 4 valves. KIVA simulation of an experimental engine with DOHC quasi-symmetric pent-roof combustion chamber

    17. Computational Research and Theory (CRT) Facility

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

      Computational Research and Theory (CRT) Facility Community Berkeley Global Campus Environmental Documents Tours Community Programs Friends of Berkeley Lab ⇒ Navigate Section Community Berkeley Global Campus Environmental Documents Tours Community Programs Friends of Berkeley Lab Project Description The Computational Research and Theory (CRT) Facility will be on the forefront of high-performance supercomputing research and will be DOE's most efficient facility of its kind. Designed to take

    18. Mark Hereld | Argonne Leadership Computing Facility

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

      Hereld Manager, Visualization and Data Analysis Mark Hereld Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 4139 Argonne, IL 60439 630-252-4170 hereld@mcs.anl.gov Mark Hereld is the ALCF's Visualization and Data Analysis Manager. He is also a member of the research staff in Argonne's Mathematics and Computer Science Division and a Senior Fellow of the Computation Institute with a joint appointment at the University of Chicago. His work in understanding simulation on future

    19. Michael Papka | Argonne Leadership Computing Facility

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

      Papka Division Director Michael Papka Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 4134 Argonne, IL 60439 630-252-1556 papka@anl.gov http://papka.alcf.anl.gov Michael E. Papka is the Director of the ALCF. He is also Argonne's Deputy Associate Laboratory Director for Computing, Environment and Life Sciences. Both his laboratory leadership roles and his research interests relate to high-performance computing in support of scientific discovery. Dr. Papka holds a Senior

    20. Introducing Aurora | Argonne Leadership Computing Facility

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

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

    1. Computational Spectroscopy of Heterogeneous Interfaces | Argonne Leadership

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

      Computing Facility Complex interfaces between nanoparticles and a solvent Complex interfaces between nanoparticles and a solvent. N. Brawand, University of Chicago Computational Spectroscopy of Heterogeneous Interfaces PI Name: Giulia Galli PI Email: gagalli@uchicago.edu Institution: University of Chicago Allocation Program: INCITE Allocation Hours at ALCF: 150 Million Year: 2016 Research Domain: Materials Science The interfaces between solids, nanoparticles and liquids play a fundamental

    2. ALCF Acknowledgment Policy | Argonne Leadership Computing Facility

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

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

    3. Staff Directory | Argonne Leadership Computing Facility

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

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

    4. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing?

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

      Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Print Wednesday, 26 August 2009 00:00 Rotaxanes are mechanically interlocked molecular architectures consisting of a dumbbell-shaped molecule, the "axle," that threads through a ring called a macrocycle. Because the rings can spin around and slide along the axle, rotaxanes are promising components of molecular machines. While most rotaxanes have been entirely

    5. 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.

    6. Accounts & Access | Argonne Leadership Computing Facility

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

      Account Information Accounts and Access FAQ Connect & Log In Using CRYPTOCards Disk Space Quota Management Allocations Mira/Cetus/Vesta Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Accounts & Access Account Information Account Information: All computing carried out on the ALCF systems is associated with a user "account." This account is used to log onto the

    7. Avanced Large-scale Integrated Computational Environment

      Energy Science and Technology Software Center (OSTI)

      1998-10-27

      The ALICE Memory Snooper is a software applications programming interface (API) and library for use in implementing computational steering systems. It allows distributed memory parallel programs to publish variables in the computation that may be accessed over the Internet. In this way, users can examine and even change the variables in their running application remotely. The API and library ensure the consistency of the variables across the distributed memory system.

    8. BETO Webinar: Computational Studies of Lignocellulose Deconstruction |

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

      Department of Energy Webinar: Computational Studies of Lignocellulose Deconstruction BETO Webinar: Computational Studies of Lignocellulose Deconstruction Dr. Gnanakaran of Los Alamos National Laboratory (LANL) presented LANL's molecular research on lignocellulose on April 15, 2013, at the Bioenergy Technologies Office's webinar series. PDF icon april2013_lanl_webinar.pdf More Documents & Publications Process Design and Economics for the Conversion of Lignocellulosic Biomass to

    9. High-performance computing for airborne applications

      SciTech Connect (OSTI)

      Quinn, Heather M; Manuzzato, Andrea; Fairbanks, Tom; Dallmann, Nicholas; Desgeorges, Rose

      2010-06-28

      Recently, there has been attempts to move common satellite tasks to unmanned aerial vehicles (UAVs). UAVs are significantly cheaper to buy than satellites and easier to deploy on an as-needed basis. The more benign radiation environment also allows for an aggressive adoption of state-of-the-art commercial computational devices, which increases the amount of data that can be collected. There are a number of commercial computing devices currently available that are well-suited to high-performance computing. These devices range from specialized computational devices, such as field-programmable gate arrays (FPGAs) and digital signal processors (DSPs), to traditional computing platforms, such as microprocessors. Even though the radiation environment is relatively benign, these devices could be susceptible to single-event effects. In this paper, we will present radiation data for high-performance computing devices in a accelerated neutron environment. These devices include a multi-core digital signal processor, two field-programmable gate arrays, and a microprocessor. From these results, we found that all of these devices are suitable for many airplane environments without reliability problems.

    10. Computer System, Cluster, and Networking Summer Institute Program Description

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

      System, Cluster, and Networking Summer Institute Program Description The Computer System, Cluster, and Networking Summer Institute (CSCNSI) is a focused technical enrichment program targeting third-year college undergraduate students currently engaged in a computer science, computer engineering, or similar major. The program emphasizes practical skill development in setting up, configuring, administering, testing, monitoring, and scheduling computer systems, supercomputer clusters, and computer

    11. Mobile computing device configured to compute irradiance, glint, and glare of the sun

      DOE Patents [OSTI]

      Gupta, Vipin P; Ho, Clifford K; Khalsa, Siri Sahib

      2014-03-11

      Described herein are technologies pertaining to computing the solar irradiance distribution on a surface of a receiver in a concentrating solar power system or glint/glare emitted from a reflective entity. A mobile computing device includes at least one camera that captures images of the Sun and the entity of interest, wherein the images have pluralities of pixels having respective pluralities of intensity values. Based upon the intensity values of the pixels in the respective images, the solar irradiance distribution on the surface of the entity or glint/glare corresponding to the entity is computed by the mobile computing device.

    12. Demystifying computer code for northern New Mexico students

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

      school students in northern New Mexico try their hands at computer programming during the Computer Science Education Week's Hour of Code event, a one-hour introduction to computer...

    13. ALCF summer students gain experience with high-performance computing...

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

      of computing that my textbooks couldn't keep up with," said Brown, who is majoring in computer science and computer game design. "Getting exposed to many-core machines and...

    14. Technical Standards, Guidance on MACCS2 Computer Code - June...

      Office of Environmental Management (EM)

      Guidance on MACCS2 Computer Code - June 30, 2004 Technical Standards, Guidance on MACCS2 Computer Code - June 30, 2004 June 30, 2004 MACCS2 Computer Code Application Guidance for...

    15. Ultra-Scale Computing for Emergency Evacuation

      SciTech Connect (OSTI)

      Bhaduri, Budhendra L; Nutaro, James J; Liu, Cheng; Zacharia, Thomas

      2010-01-01

      Emergency evacuations are carried out in anticipation of a disaster such as hurricane landfall or flooding, and in response to a disaster that strikes without a warning. Existing emergency evacuation modeling and simulation tools are primarily designed for evacuation planning and are of limited value in operational support for real time evacuation management. In order to align with desktop computing, these models reduce the data and computational complexities through simple approximations and representations of real network conditions and traffic behaviors, which rarely represent real-world scenarios. With the emergence of high resolution physiographic, demographic, and socioeconomic data and supercomputing platforms, it is possible to develop micro-simulation based emergency evacuation models that can foster development of novel algorithms for human behavior and traffic assignments, and can simulate evacuation of millions of people over a large geographic area. However, such advances in evacuation modeling and simulations demand computational capacity beyond the desktop scales and can be supported by high performance computing platforms. This paper explores the motivation and feasibility of ultra-scale computing for increasing the speed of high resolution emergency evacuation simulations.

    16. Refurbishment program of HANARO control computer system

      SciTech Connect (OSTI)

      Kim, H. K.; Choe, Y. S.; Lee, M. W.; Doo, S. K.; Jung, H. S. [Korea Atomic Energy Research Inst., 989-111 Daedeok-daero, Yuseong, Daejeon, 305-353 (Korea, Republic of)

      2012-07-01

      HANARO, an open-tank-in-pool type research reactor with 30 MW thermal power, achieved its first criticality in 1995. The programmable controller system MLC (Multi Loop Controller) manufactured by MOORE has been used to control and regulate HANARO since 1995. We made a plan to replace the control computer because the system supplier no longer provided technical support and thus no spare parts were available. Aged and obsolete equipment and the shortage of spare parts supply could have caused great problems. The first consideration for a replacement of the control computer dates back to 2007. The supplier did not produce the components of MLC so that this system would no longer be guaranteed. We established the upgrade and refurbishment program in 2009 so as to keep HANARO up to date in terms of safety. We designed the new control computer system that would replace MLC. The new computer system is HCCS (HANARO Control Computer System). The refurbishing activity is in progress and will finish in 2013. The goal of the refurbishment program is a functional replacement of the reactor control system in consideration of suitable interfaces, compliance with no special outage for installation and commissioning, and no change of the well-proved operation philosophy. HCCS is a DCS (Discrete Control System) using PLC manufactured by RTP. To enhance the reliability, we adapt a triple processor system, double I/O system and hot swapping function. This paper describes the refurbishment program of the HANARO control system including the design requirements of HCCS. (authors)

    17. 2014 call for NERSC's Data Intensive Computing Pilot Program...

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

      NERSC's Data Intensive Computing Pilot Program 2014 call for NERSC's Data Intensive Computing Pilot Program Due December 10 November 18, 2013 by Francesca Verdier (0 Comments)...

    18. Computing Sciences Staff Help East Bay High Schoolers Upgrade...

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

      IT fields, the Laney College Computer Information Systems Department offered its Upgrade: Computer Science Program. Thirty-eight students from 10 East Bay high schools registered...

    19. Computer System, Cluster, and Networking Summer Institute Program...

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

      program targeting third-year college undergraduate students currently engaged in a computer science, computer engineering, or similar major. The program emphasizes practical...

    20. Representation of Limited Rights Data and Restricted Computer...

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

      Representation of Limited Rights Data and Restricted Computer Software Representation of Limited Rights Data and Restricted Computer Software PDF icon Representation of Limited...

    1. Former NERSC Consultant Mentors Math, Computer Science Students

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

      Former NERSC Consultant Mentors Math, Computer Science Students Former NERSC Consultant Mentors Math, Computer Science Students March 10, 2015 Frank Hale, a former consultant in ...

    2. Computational Design of Axion Insulators Based on 5 d Spinel...

      Office of Scientific and Technical Information (OSTI)

      Computational Design of Axion Insulators Based on 5 d Spinel Compounds Citation Details In-Document Search Title: Computational Design of Axion Insulators Based on 5 d Spinel ...

    3. Computational Design of Self-Assembling Protein Nanomaterials...

      Office of Scientific and Technical Information (OSTI)

      Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy Citation Details In-Document Search Title: Computational Design of Self-Assembling ...

    4. Computational Design of Axion Insulators Based on 5 d Spinel...

      Office of Scientific and Technical Information (OSTI)

      Computational Design of Axion Insulators Based on 5 d Spinel Compounds Prev Next Title: Computational Design of Axion Insulators Based on 5 d Spinel Compounds Authors: Wan, ...

    5. Review of the synergies between computational modeling and experimenta...

      Office of Scientific and Technical Information (OSTI)

      Accepted Manuscript: Review of the synergies between computational modeling and ... November 16, 2016 Prev Next Title: Review of the synergies between computational ...

    6. Nuclear Forces and High-Performance Computing: The Perfect Match...

      Office of Scientific and Technical Information (OSTI)

      Conference: Nuclear Forces and High-Performance Computing: The Perfect Match Citation Details In-Document Search Title: Nuclear Forces and High-Performance Computing: The Perfect...

    7. MaRIE theory, modeling and computation roadmap executive summary...

      Office of Scientific and Technical Information (OSTI)

      Conference: MaRIE theory, modeling and computation roadmap executive summary Citation Details In-Document Search Title: MaRIE theory, modeling and computation roadmap executive ...

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

      Office of Science (SC) Website

      Computer Science Unsolicited Projects in 2012: Research in Computer Architecture, ... External link Exploration of Exascale In Situ Visualization and Analysis Approaches. ...

    9. Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences

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

      Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences November 1, 2014 by Francesca Verdier Applications are...

    10. High Level Computational Chemistry Approaches to the Prediction...

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

      Level Computational Chemistry Approaches to the Prediction of Energetic Properties of Chemical Hydrogen Storage Systems High Level Computational Chemistry Approaches to the ...

    11. Property:Building/SPElectrtyUsePercLargeComputersServers | Open...

      Open Energy Info (EERE)

      Jump to: navigation, search This is a property of type String. Large computers servers Pages using the property "BuildingSPElectrtyUsePercLargeComputersServers"...

    12. How Do You Reduce Energy Use from Computers and Electronics?...

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

      discussed some ways to reduce the energy used by computers and electronics. Some tips include ensuring your computer is configured for optimal energy savings, turning off devices...

    13. Derivative-free optimization for parameter estimation in computational...

      Office of Scientific and Technical Information (OSTI)

      in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter estimation in computational nuclear physics Authors: ...

    14. Proceedings of the April 2011 Computational Needs for the Next...

      Energy Savers [EERE]

      Proceedings of the April 2011 Computational Needs for the Next Generation Electric Grid Workshop Available Proceedings of the April 2011 Computational Needs for the Next Generation...

    15. Topological one-way quantum computation on verified logical cluster...

      Office of Scientific and Technical Information (OSTI)

      Subject: 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 97 MATHEMATICAL METHODS AND COMPUTING; CALCULATION METHODS; ERRORS; MATHEMATICAL LOGIC; NOISE; QUANTUM COMPUTERS; ...

    16. ASCR Leadership Computing Challenge (ALCC) proposals due February...

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

      (ALCC) proposals due February 1, 2013 ASCR Leadership Computing Challenge (ALCC) proposals due February 1, 2013 January 2, 2013 by Francesca Verdier DOE's ASCR Leadership Computing...

    17. Computational Fluid Dynamics Modeling of Diesel Engine Combustion...

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

      Computational Fluid Dynamics Modeling of Diesel Engine Combustion and Emissions Computational Fluid Dynamics Modeling of Diesel Engine Combustion and Emissions 2005 Diesel Engine...

    18. Architectural requirements for the Red Storm computing system...

      Office of Scientific and Technical Information (OSTI)

      Technical Report: Architectural requirements for the Red Storm computing system. Citation Details In-Document Search Title: Architectural requirements for the Red Storm computing...

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

      Office of Scientific and Technical Information (OSTI)

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

    20. Computational flow modeling of a simplified integrated tractor...

      Office of Scientific and Technical Information (OSTI)

      Computational flow modeling of a simplified integrated tractor-trailer geometry. Citation Details In-Document Search Title: Computational flow modeling of a simplified integrated...

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

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

      Computing Center (NERSC) developed a Data Intensive Computing Pilot. "Many of the big data challenges that have long existed in the particle and high energy physics world...

    2. Yahoo! Compute Coop Next Generation Passive Cooling Design for...

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

      Yahoo Compute Coop Next Generation Passive Cooling Design for Data Centers Yahoo Compute Coop Next Generation Passive Cooling Design for Data Centers PDF icon...

    3. Berkeley Lab and NERSC Reach Out to Women in Computing

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

      few inroads into high performance computing, according to a recent HPC Wire editorial. Berkeley Lab is working to increase the number of women in computer science and HPC...

    4. Breaking Ground on Computational Research and Theory Facility

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

      Berkeley Lab Breaks Ground on New Computational Research Facility Breaking Ground on Computational Research and Theory Facility CRT to Foster Scientific Collaboration in...

    5. Computer-Aided Engineering for Electric Drive Vehicle Batteries...

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

      Computer-Aided Engineering for Electric Drive Vehicle Batteries (CAEBAT) Computer-Aided Engineering for Electric Drive Vehicle Batteries (CAEBAT) 2011 DOE Hydrogen and Fuel Cells...

    6. ORISE Resources: Equal Access Initiative Computer Grants Program

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

      Equal Access Initiative Computer Grants Program The Equal Access Initiative Computer Grants Program is sponsored by the National Minority AIDS Council (NMAC) and the National...

    7. Stopping executions, saving computers with new malware detection...

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

      tool Stopping executions, saving computers with new malware detection tool A computer tool that allows the machine to identify malicious executable files without being...

    8. Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid...

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

      Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Berkeley Lab research could help...

    9. The Bayesian inference engine, an outsider, computer scientist...

      Office of Scientific and Technical Information (OSTI)

      The Bayesian inference engine, an outsider, computer scientist's perspective Citation Details In-Document Search Title: The Bayesian inference engine, an outsider, computer...

    10. Application of the Computer Program SASSI for Seismic SSI Analysis...

      Office of Environmental Management (EM)

      the Computer Program SASSI for Seismic SSI Analysis of WTP Facilities Application of the Computer Program SASSI for Seismic SSI Analysis of WTP Facilities Application of the...

    11. Overview of Computer-Aided Engineering of Batteries (CAEBAT)...

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

      Computer-Aided Engineering of Batteries (CAEBAT) and Introduction to Multi-Scale, ... Merit Review 2014: Development of Computer-Aided Design Tools for Automotive Batteries

    12. Development of Computer-Aided Design Tools for Automotive Batteries...

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

      More Documents & Publications Progress of Computer-Aided Engineering of Batteries (CAEBAT) Vehicle Technologies Office Merit Review 2014: Development of Computer-Aided Design Tools ...

    13. Development of Computer-Aided Design Tools for Automotive Batteries...

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

      More Documents & Publications Progress of Computer-Aided Engineering of Batteries (CAEBAT) ... Merit Review 2014: Development of Computer-Aided Design Tools for Automotive Batteries

    14. Energy Efficiency Opportunities in Federal High Performance Computing...

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

      Efficiency Opportunities in Federal High Performance Computing Data Centers Energy Efficiency Opportunities in Federal High Performance Computing Data Centers Case study describes...

    15. Product Standards for Computers (Japan) | Open Energy Information

      Open Energy Info (EERE)

      Computers (Japan) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Product Standards for Computers (Japan) Focus Area: Appliances & Equipment Topics: Policy Impacts...

    16. Materials Frontiers to Empower Quantum Computing

      SciTech Connect (OSTI)

      Taylor, Antoinette Jane; Sarrao, John Louis; Richardson, Christopher

      2015-06-11

      This is an exciting time at the nexus of quantum computing and materials research. The materials frontiers described in this report represent a significant advance in electronic materials and our understanding of the interactions between the local material and a manufactured quantum state. Simultaneously, directed efforts to solve materials issues related to quantum computing provide an opportunity to control and probe the fundamental arrangement of matter that will impact all electronic materials. An opportunity exists to extend our understanding of materials functionality from electronic-grade to quantum-grade by achieving a predictive understanding of noise and decoherence in qubits and their origins in materials defects and environmental coupling. Realizing this vision systematically and predictively will be transformative for quantum computing and will represent a qualitative step forward in materials prediction and control.

    17. Ambient temperature modelling with soft computing techniques

      SciTech Connect (OSTI)

      Bertini, Ilaria; Ceravolo, Francesco; Citterio, Marco; Di Pietra, Biagio; Margiotta, Francesca; Pizzuti, Stefano; Puglisi, Giovanni; De Felice, Matteo

      2010-07-15

      This paper proposes a hybrid approach based on soft computing techniques in order to estimate monthly and daily ambient temperature. Indeed, we combine the back-propagation (BP) algorithm and the simple Genetic Algorithm (GA) in order to effectively train artificial neural networks (ANN) in such a way that the BP algorithm initialises a few individuals of the GA's population. Experiments concerned monthly temperature estimation of unknown places and daily temperature estimation for thermal load computation. Results have shown remarkable improvements in accuracy compared to traditional methods. (author)

    18. Augmented Computer Exercise for Inspection Training

      Energy Science and Technology Software Center (OSTI)

      2001-10-08

      ACE-IT is a computer-based training tool developed to simulate an on-site inspection of a facility. Inspectors and hosts practice realistic scenarios to prepare for inspections, to supplement tabletop and mock inspections, and for general training in managed access techniques. A training exercise is conducted between interconnected computer workstations. Participants at each workstation play a role, such as inspector or host, and the exercise permits team-specific actions at each stage of the inspection. Prompts and on-screenmore » menus let the participants know what responses are expected from them to continue the exercise.« less

    19. Cheaper Adjoints by Reversing Address Computations

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

      Hascoët, L.; Utke, J.; Naumann, U.

      2008-01-01

      The reverse mode of automatic differentiation is widely used in science and engineering. A severe bottleneck for the performance of the reverse mode, however, is the necessity to recover certain intermediate values of the program in reverse order. Among these values are computed addresses, which traditionally are recovered through forward recomputation and storage in memory. We propose an alternative approach for recovery that uses inverse computation based on dependency information. Address storage constitutes a significant portion of the overall storage requirements. An example illustrates substantial gains that the proposed approach yields, and we show use cases in practical applications.

    20. Wireless, relative-motion computer input device

      DOE Patents [OSTI]

      Holzrichter, John F.; Rosenbury, Erwin T.

      2004-05-18

      The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

    1. CY15 Livermore Computing Focus Areas

      SciTech Connect (OSTI)

      Connell, Tom M.; Cupps, Kim C.; D'Hooge, Trent E.; Fahey, Tim J.; Fox, Dave M.; Futral, Scott W.; Gary, Mark R.; Goldstone, Robin J.; Hamilton, Pam G.; Heer, Todd M.; Long, Jeff W.; Mark, Rich J.; Morrone, Chris J.; Shoopman, Jerry D.; Slavec, Joe A.; Smith, David W.; Springmeyer, Becky R; Stearman, Marc D.; Watson, Py C.

      2015-01-20

      The LC team undertook a survey of primary Center drivers for CY15. Identified key drivers included enhancing user experience and productivity, pre-exascale platform preparation, process improvement, data-centric computing paradigms and business expansion. The team organized critical supporting efforts into three cross-cutting focus areas; Improving Service Quality; Monitoring, Automation, Delegation and Center Efficiency; and Next Generation Compute and Data Environments In each area the team detailed high level challenges and identified discrete actions to address these issues during the calendar year. Identifying the Centers primary drivers, issues, and plans is intended to serve as a lens focusing LC personnel, resources, and priorities throughout the year.

    2. Misleading Performance Claims in Parallel Computations

      SciTech Connect (OSTI)

      Bailey, David H.

      2009-05-29

      In a previous humorous note entitled 'Twelve Ways to Fool the Masses,' I outlined twelve common ways in which performance figures for technical computer systems can be distorted. In this paper and accompanying conference talk, I give a reprise of these twelve 'methods' and give some actual examples that have appeared in peer-reviewed literature in years past. I then propose guidelines for reporting performance, the adoption of which would raise the level of professionalism and reduce the level of confusion, not only in the world of device simulation but also in the larger arena of technical computing.

    3. Certification of computer professionals: A good idea?

      SciTech Connect (OSTI)

      Boggess, G.

      1994-12-31

      In the early stages of computing there was little understanding or attention paid to the ethical responsibilities of professionals. Compainies routinely put secretaries and music majors through 30 hours of video training and turned them loose on data processing projects. As the nature of the computing task changed, these same practices were followed and the trainees were set loose on life-critical software development projects. The enormous risks of using programmers with limited training has been by the GAO report on the BSY-2 program.

    4. Computers as Scientific Peers | GE Global Research

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

      Computers as Intellectual Peers in Scientific Research Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Computers as Intellectual Peers in Scientific Research Emily LeBlanc 2015.09.03 One of the most exciting futurist notions is a machine that can think like a human. Although we are not presently able to have true

    5. Douglas Jacobsen! NERSC Bioinformatics Computing Consultant

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

      Working Remotely on NERSC Systems (genepool focus) --- 1 --- February 1 2, 2 013 Structure of the Genepool System --- 2 --- compute n odes gpint n odes high p riority & interac6ve nodes fpga web services database services login n odes filesystems ssh genepool.nersc.gov h=p://...jgi---psf.org User A ccess C ommand L ine S cheduler S ervice Types of Jobs on genepool * Batch - S cheduled ( compute n odes, f pga) - 8,320 c ores f or 7 2,953,280 c ompute h ours p er y ear i n g enepool - use

    6. Computing Criticality of Lines in Power Systems

      SciTech Connect (OSTI)

      Pinar, Ali; Reichert, Adam; Lesieutre, Bernard

      2006-10-13

      We propose a computationally efficient method based onnonlinear optimization to identify critical lines, failure of which cancause severe blackouts. Our method computes criticality measure for alllines at a time, as opposed to detecting a single vulnerability,providing a global view of the system. This information on criticality oflines can be used to identify multiple contingencies by selectivelyexploring multiple combinations of broken lines. The effectiveness of ourmethod is demonstrated on the IEEE 30 and 118 bus systems, where we canvery quickly detect the most critical lines in the system and identifysevere multiple contingencies.

    7. Machine Overview | Argonne Leadership Computing Facility

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

      Overview Blue Gene/Q systems are composed of login nodes, I/O nodes, and compute nodes. Login Nodes Login and compile nodes are IBM Power 7-based systems running Red Hat Linux and are the user's interface to a Blue Gene/Q system. This is where users login, edit files, compile, and submit jobs. These are shared resources with multiple users. I/O Nodes The I/O node and compute environments are based around a very simple 1.6 GHz 16 core PowerPC A2 system with 16 GB of RAM. I/O node environments are

    8. Computed microtomography of reservoir core samples

      SciTech Connect (OSTI)

      Coles, M.E.; Muegge, E.L.; Spanne, P.; Jones, K.W.

      1995-03-01

      X-ray computed tomography (CT) is often utilized to evaluate and characterize structural characteristics within reservoir core material systems. Generally, medical CT scanners have been employed because of their availability and ease of use. Of interest lately has been the acquisition of three-dimensional, high resolution descriptions of rock and pore structures for characterization of the porous media and for modeling of single and multiphase transport processes. The spatial resolution of current medical CT scanners is too coarse for pore level imaging of most core samples. Recently developed high resolution computed microtomography (CMT) using synchrotron X-ray sources is analogous to conventional medical CT scanning and provides the ability to obtain three-dimensional images of specimens with a spatial resolution on the order of micrometers. Application of this technique to the study of core samples provides two- and three-dimensional high resolution description of pore structure and mineral distributions. Pore space and interconnectivity is accurately characterized and visualized. Computed microtomography data can serve as input into pore-level simulation techniques. A generalized explanation of the technique is provided, with comparison to conventional CT scanning techniques and results. Computed microtomographic results of several sandstone samples are presented and discussed. Bulk porosity values and mineralogical identification were obtained from the microtomograms and compared with gas porosity and scanning electron microscope results on tandem samples.

    9. 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.

    10. Managing turbine-generator outages by computer

      SciTech Connect (OSTI)

      Reinhart, E.R. [Reinhart and Associates, Inc., Austin, TX (United States)

      1997-09-01

      This article describes software being developed to address the need for computerized planning and documentation programs that can help manage outages. Downsized power-utility companies and the growing demand for independent, competitive engineering and maintenance services have created a need for a computer-assisted planning and technical-direction program for turbine-generator outages. To meet this need, a software tool is now under development that can run on a desktop or laptop personal computer to assist utility personnel and technical directors in outage planning. Total Outage Planning Software (TOPS), which runs on Windows, takes advantage of the mass data storage available with compact-disc technology by archiving the complete outage documentation on CD. Previous outage records can then be indexed, searched, and viewed on a computer with the click of a mouse. Critical-path schedules, parts lists, parts order tracking, work instructions and procedures, custom data sheets, and progress reports can be generated by computer on-site during an outage.

    11. Prasanna Balaprakash | Argonne Leadership Computing Facility

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

      Prasanna Balaprakash Assistant Computer Scientist Prasanna Balaprakash Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1135 Argonne, IL 60439 630-252-1109 pbalapra@mcs.anl.gov Specialities: Optimization under uncertainty; Artificial intelligence algorithms for large-scale optimization; Automated algorithm tuning; Modeling and prediction/statistical machine learning; Monte Carlo simulation; and Statistical analysis.

    12. Cluster computing software for GATE simulations

      SciTech Connect (OSTI)

      Beenhouwer, Jan de; Staelens, Steven; Kruecker, Dirk; Ferrer, Ludovic; D'Asseler, Yves; Lemahieu, Ignace; Rannou, Fernando R.

      2007-06-15

      Geometry and tracking (GEANT4) is a Monte Carlo package designed for high energy physics experiments. It is used as the basis layer for Monte Carlo simulations of nuclear medicine acquisition systems in GEANT4 Application for Tomographic Emission (GATE). GATE allows the user to realistically model experiments using accurate physics models and time synchronization for detector movement through a script language contained in a macro file. The downside of this high accuracy is long computation time. This paper describes a platform independent computing approach for running GATE simulations on a cluster of computers in order to reduce the overall simulation time. Our software automatically creates fully resolved, nonparametrized macros accompanied with an on-the-fly generated cluster specific submit file used to launch the simulations. The scalability of GATE simulations on a cluster is investigated for two imaging modalities, positron emission tomography (PET) and single photon emission computed tomography (SPECT). Due to a higher sensitivity, PET simulations are characterized by relatively high data output rates that create rather large output files. SPECT simulations, on the other hand, have lower data output rates but require a long collimator setup time. Both of these characteristics hamper scalability as a function of the number of CPUs. The scalability of PET simulations is improved here by the development of a fast output merger. The scalability of SPECT simulations is improved by greatly reducing the collimator setup time. Accordingly, these two new developments result in higher scalability for both PET and SPECT simulations and reduce the computation time to more practical values.

    13. Sandia National Laboratories: Research: Research Foundations: Computing and

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

      Information Science Research Foundations Bioscience Computing and Information Science Electromagnetics Engineering Science Geoscience Materials Science Nanodevices and Microsystems Radiation Effects and High Energy Density Science Research Computing and Information Science Red Storm photo Our approach Vertically integrated, scalable supercomputing Goal Increase capability while reducing the space and power requirements of future computing systems by changing the nature of computing devices,

    14. RESRAD Computer Code - Evaluation of Radioactively Contaminated Sites |

      Energy Savers [EERE]

      Department of Energy RESRAD Computer Code - Evaluation of Radioactively Contaminated Sites RESRAD Computer Code - Evaluation of Radioactively Contaminated Sites The evaluation of sites with radioactive contamination was a problem until the RESidual RADioactivity (RESRAD) Computer Code was first released in 1989. PDF icon RESRAD Computer Code - Evaluation of Radioactively Contaminated Sites More Documents & Publications 2012 Environmental/Radiological Assistance Directory (ERAD)

    15. MECS 2006 - Computer, Electronics and Appliances | Department of Energy

      Office of Environmental Management (EM)

      Computer, Electronics and Appliances MECS 2006 - Computer, Electronics and Appliances Manufacturing Energy Footprint for Computer, Electronics and Appliances (NAICS 334, 335) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Computers, Electronics, and Electrical Equipment More Documents & Publications MECS 2006 - Cement MECS 2006 - Glass MECS 2006 - Plastics

    16. Performing a global barrier operation in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Ratterman, Joseph D; Smith, Brian E

      2014-12-09

      Executing computing tasks on a parallel computer that includes compute nodes coupled for data communications, where each compute node executes tasks, with one task on each compute node designated as a master task, including: for each task on each compute node until all master tasks have joined a global barrier: determining whether the task is a master task; if the task is not a master task, joining a single local barrier; if the task is a master task, joining the global barrier and the single local barrier only after all other tasks on the compute node have joined the single local barrier.

    17. Broadcasting collective operation contributions throughout a parallel computer

      DOE Patents [OSTI]

      Faraj, Ahmad (Rochester, MN)

      2012-02-21

      Methods, systems, and products are disclosed for broadcasting collective operation contributions throughout a parallel computer. The parallel computer includes a plurality of compute nodes connected together through a data communications network. Each compute node has a plurality of processors for use in collective parallel operations on the parallel computer. Broadcasting collective operation contributions throughout a parallel computer according to embodiments of the present invention includes: transmitting, by each processor on each compute node, that processor's collective operation contribution to the other processors on that compute node using intra-node communications; and transmitting on a designated network link, by each processor on each compute node according to a serial processor transmission sequence, that processor's collective operation contribution to the other processors on the other compute nodes using inter-node communications.

    18. A primer on the energy efficiency of computing

      SciTech Connect (OSTI)

      Koomey, Jonathan G.

      2015-03-30

      The efficiency of computing at peak output has increased rapidly since the dawn of the computer age. This paper summarizes some of the key factors affecting the efficiency of computing in all usage modes. While there is still great potential for improving the efficiency of computing devices, we will need to alter how we do computing in the next few decades because we are finally approaching the limits of current technologies.

    19. Applications for Postdoctoral Fellowship in Computational Science at

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

      Berkeley Lab due November 26 Postdoctoral Fellowship in Computational Science at Berkeley Lab Applications for Postdoctoral Fellowship in Computational Science at Berkeley Lab due November 26 October 15, 2012 by Francesca Verdier Researchers in computer science, applied mathematics or any computational science discipline who have received their Ph.D. within the last three years are encouraged to apply for the Luis W. Alvarez Postdoctoral Fellowship in Computational Science at Lawrence

    20. A comprehensive approach to decipher biological computation to achieve next

      Office of Scientific and Technical Information (OSTI)

      generation high-performance exascale computing. (Technical Report) | SciTech Connect Technical Report: A comprehensive approach to decipher biological computation to achieve next generation high-performance exascale computing. Citation Details In-Document Search Title: A comprehensive approach to decipher biological computation to achieve next generation high-performance exascale computing. The human brain (volume=1200cm3) consumes 20W and is capable of performing>10%5E16 operations/s.

    1. A comprehensive approach to decipher biological computation to achieve next

      Office of Scientific and Technical Information (OSTI)

      generation high-performance exascale computing. (Technical Report) | SciTech Connect A comprehensive approach to decipher biological computation to achieve next generation high-performance exascale computing. Citation Details In-Document Search Title: A comprehensive approach to decipher biological computation to achieve next generation high-performance exascale computing. The human brain (volume=1200cm3) consumes 20W and is capable of performing>10%5E16 operations/s. Current

    2. Demystifying computer code for northern New Mexico students

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

      Demystifying computer code Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:Mar. 2016 all issues All Issues » submit Demystifying computer code for northern New Mexico students Everyone can learn the basics February 1, 2015 Laura Davey, a computer scientist in the Laboratory's High Performance Computing Division, assists students during Hour of Code tutorials. Laura Davey, a computer scientist in the Laboratory's High Performance

    3. Large Scale Production Computing and Storage Requirements for Advanced

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

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

    4. Present and Future Computational Requirements General Plasma Physics Center for Integrated Computation and Analysis of Reconnection and Turbulence (CICART)

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

      Computational Current Future Accelerators Present and Future Computational Requirements General Plasma Physics Center for Integrated Computation and Analysis of Reconnection and Turbulence (CICART) Kai Germaschewski, Homa Karimabadi Amitava Bhattacharjee, Fatima Ebrahimi, Will Fox, Liwei Lin CICART Space Science Center / Dept. of Physics University of New Hampshire March 18, 2013 Kai Germaschewski and Homa Karimabadi CICART Project Computational Current Future Accelerators Outline 1 Project

    5. ACToR - Aggregated Computational Toxicology Resource

      SciTech Connect (OSTI)

      Judson, Richard Richard, Ann; Dix, David; Houck, Keith; Elloumi, Fathi; Martin, Matthew; Cathey, Tommy; Transue, Thomas R.; Spencer, Richard; Wolf, Maritja

      2008-11-15

      ACToR (Aggregated Computational Toxicology Resource) is a database and set of software applications that bring into one central location many types and sources of data on environmental chemicals. Currently, the ACToR chemical database contains information on chemical structure, in vitro bioassays and in vivo toxicology assays derived from more than 150 sources including the U.S. Environmental Protection Agency (EPA), Centers for Disease Control (CDC), U.S. Food and Drug Administration (FDA), National Institutes of Health (NIH), state agencies, corresponding government agencies in Canada, Europe and Japan, universities, the World Health Organization (WHO) and non-governmental organizations (NGOs). At the EPA National Center for Computational Toxicology, ACToR helps manage large data sets being used in a high-throughput environmental chemical screening and prioritization program called ToxCast{sup TM}.

    6. Optimized data communications in a parallel computer

      DOE Patents [OSTI]

      Faraj, Daniel A.

      2014-08-19

      A parallel computer includes nodes that include a network adapter that couples the node in a point-to-point network and supports communications in opposite directions of each dimension. Optimized communications include: receiving, by a network adapter of a receiving compute node, a packet--from a source direction--that specifies a destination node and deposit hints. Each hint is associated with a direction within which the packet is to be deposited. If a hint indicates the packet to be deposited in the opposite direction: the adapter delivers the packet to an application on the receiving node; forwards the packet to a next node in the opposite direction if the receiving node is not the destination; and forwards the packet to a node in a direction of a subsequent dimension if the hints indicate that the packet is to be deposited in the direction of the subsequent dimension.

    7. Semiconductor Device Analysis on Personal Computers

      Energy Science and Technology Software Center (OSTI)

      1993-02-08

      PC-1D models the internal operation of bipolar semiconductor devices by solving for the concentrations and quasi-one-dimensional flow of electrons and holes resulting from either electrical or optical excitation. PC-1D uses the same detailed physical models incorporated in mainframe computer programs, yet runs efficiently on personal computers. PC-1D was originally developed with DOE funding to analyze solar cells. That continues to be its primary mode of usage, with registered copies in regular use at more thanmore » 100 locations worldwide. The program has been successfully applied to the analysis of silicon, gallium-arsenide, and indium-phosphide solar cells. The program is also suitable for modeling bipolar transistors and diodes, including heterojunction devices. Its easy-to-use graphical interface makes it useful as a teaching tool as well.« less

    8. Detecting Soft Errors in Stencil based Computations

      SciTech Connect (OSTI)

      Sharma, V.; Gopalkrishnan, G.; Bronevetsky, G.

      2015-05-06

      Given the growing emphasis on system resilience, it is important to develop software-level error detectors that help trap hardware-level faults with reasonable accuracy while minimizing false alarms as well as the performance overhead introduced. We present a technique that approaches this idea by taking stencil computations as our target, and synthesizing detectors based on machine learning. In particular, we employ linear regression to generate computationally inexpensive models which form the basis for error detection. Our technique has been incorporated into a new open-source library called SORREL. In addition to reporting encouraging experimental results, we demonstrate techniques that help reduce the size of training data. We also discuss the efficacy of various detectors synthesized, as well as our future plans.

    9. Optimized data communications in a parallel computer

      DOE Patents [OSTI]

      Faraj, Daniel A

      2014-10-21

      A parallel computer includes nodes that include a network adapter that couples the node in a point-to-point network and supports communications in opposite directions of each dimension. Optimized communications include: receiving, by a network adapter of a receiving compute node, a packet--from a source direction--that specifies a destination node and deposit hints. Each hint is associated with a direction within which the packet is to be deposited. If a hint indicates the packet to be deposited in the opposite direction: the adapter delivers the packet to an application on the receiving node; forwards the packet to a next node in the opposite direction if the receiving node is not the destination; and forwards the packet to a node in a direction of a subsequent dimension if the hints indicate that the packet is to be deposited in the direction of the subsequent dimension.

    10. Scalable Computer Performance and Analysis (Hierarchical INTegration)

      Energy Science and Technology Software Center (OSTI)

      1999-09-02

      HINT is a program to measure a wide variety of scalable computer systems. It is capable of demonstrating the benefits of using more memory or processing power, and of improving communications within the system. HINT can be used for measurement of an existing system, while the associated program ANALYTIC HINT can be used to explain the measurements or as a design tool for proposed systems.

    11. Computer-Aided dispatching system design specification

      SciTech Connect (OSTI)

      Briggs, M.G.

      1996-05-03

      This document defines the performance requirements for a graphic display dispatching system to support Hanford Patrol emergency response. This system is defined as a Commercial-Off the-Shelf computer dispatching system providing both text and graphical display information while interfacing with the diverse reporting system within the Hanford Facility. This system also provided expansion capabilities to integrate Hanford Fire and the Occurrence Notification Center and provides back-up capabilities for the Plutonium Processing Facility.

    12. computational-structural-mechanics-student-thesis

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

      Structural Mechanics Student Thesis Abstract NUMERICAL MODELING OF STAY CABLES AND STAY CABLE BRIDGES The Computational Structural Mechanics staff at TRACC is supporting two students from Northern Illinois University who are working for a Masters degree. The CSM staff is directing the thesis research and working with them on two projects: (1) cable-stay bridge vibrations due to traffic loading and (2) aerodynamic loading on stay cables. During this quarter, Srihari Vannemreddi successfully

    13. National Energy Research Scientific Computing Center

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

      4 Annual Report Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720-8148 This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Cover Image Credits: front cover, main image: Ken Chen, University of California, Santa Cruz (story, p. 34) front cover, left to right: Burlen Loring, Lawrence Berkeley National Laboratory (story, p. 42);

    14. Wild Fire Computer Model Helps Firefighters

      ScienceCinema (OSTI)

      Canfield, Jesse

      2014-06-02

      A high-tech computer model called HIGRAD/FIRETEC, the cornerstone of a collaborative effort between U.S. Forest Service Rocky Mountain Research Station and Los Alamos National Laboratory, provides insights that are essential for front-line fire fighters. The science team is looking into levels of bark beetle-induced conditions that lead to drastic changes in fire behavior and how variable or erratic the behavior is likely to be.

    15. High-Performance Computing at Los

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

      Performance Computing at Los Alamos announces milestone for key/ value middleware May 26, 2014 Billion inserts-per-second data milestone reached for supercomputing tool LOS ALAMOS, N.M., May 29, 2014-At Los Alamos, a supercomputer epicenter where "big data set" really means something, a data middleware project has achieved a milestone for specialized information organization and storage. The Multi-dimensional Hashed Indexed Middleware (MDHIM) project at Los Alamos National Laboratory

    16. Integrative Genomics and Computational Systems Medicine

      SciTech Connect (OSTI)

      McDermott, Jason E.; Huang, Yufei; Zhang, Bing; Xu, Hua; Zhao, Zhongming

      2014-01-01

      The exponential growth in generation of large amounts of genomic data from biological samples has driven the emerging field of systems medicine. This field is promising because it improves our understanding of disease processes at the systems level. However, the field is still in its young stage. There exists a great need for novel computational methods and approaches to effectively utilize and integrate various omics data.

    17. Angular quadratures for improved transport computations

      SciTech Connect (OSTI)

      Abu-Shumays, I.K.

      1999-07-22

      This paper introduces new octant-range, composite-type Gauss and mid-point rule angular quadrature formulas for neutron and photon transport computations. A generalization to octant-range quadratures is also introduced in order to allow for discontinuities at material interfaces for two- and three-dimensional transport problems which can be modeled with 60-degree triangular or hexagonal mesh subdivisions in the x-y plane.

    18. gprof Profiling Tools | Argonne Leadership Computing Facility

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

      Tuning MPI on BG/Q Tuning and Analysis Utilities (TAU) HPCToolkit HPCTW mpiP gprof Profiling Tools Darshan PAPI BG/Q Performance Counters BGPM Openspeedshop Scalasca BG/Q DGEMM Performance Automatic Performance Collection (AutoPerf) Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] gprof Profiling Tools Contents Introduction Profiling on the

    19. Data Policy | Argonne Leadership Computing Facility

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

      Policies Accounts Policy Account Sponsorship & Retention Policy ALCC Quarterly Report Policy ALCF Acknowledgment Policy Data Policy INCITE Quarterly Report Policy Job Scheduling Policy on BG/Q Job Scheduling Policies on Cooley Pullback Policy Refund Policy Software Policy User Authentication Policy Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Data Policy Contents ALCF Data

    20. Data Transfer | Argonne Leadership Computing Facility

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

      Using Globus Using GridFTP Debugging & Profiling Performance Tools & APIs Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Data Transfer The Blue Gene/Q will connect to other research institutions using a total of 100 Gbit/s of public network connectivity. This allows scientists to transfer datasets to and from other institutions