National Library of Energy BETA

Sample records for marius stan computational

  1. 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.

  2. Marius Stan | Argonne National Laboratory

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

    ... Ph.D. (Chemistry), Romanian Academy, Institute of Physical Chemistry, Bucharest, Romania, 1997. B.S. (Physics), University of Bucharest, Bucharest, Romania, 1986. Contact Us For ...

  3. Microsoft PowerPoint - Marius Stan.update

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

    ... * Performance Assessment Peer Review Panels International nuclear power plant ... analysis for corrosion depth of the spent nuclear fuel canister has been studied using ...

  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 ...

  5. Sandia's Stan Atcitty winner of the Presidential Early Career...

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

    Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy ... Stan was nominated for the PECASE award by DOE's Office of Electricity Delivery and Energy ...

  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. Stan Watkins Named Department of Energy Facility Representative of the Year

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

    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 20 | National Nuclear Security Administration | (NNSA)

    Stan Watkins Named Department of Energy Facility Representative of the Year May 15, 2009 Microsoft Office document icon R-09-02

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

    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...

  9. 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 -...

  10. Present and Future Computing Requirements Radiative Transfer of Astrophysical Explosions

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

    Requirements Radiative Transfer of Astrophysical Explosions Daniel Kasen (UCB/LBNL) SciDAC computational astrophysics consortium Stan Woosley, Ann Almgren, John Bell, Haitao Ma, Peter Nugent, Rollin Thomas, Weiquin Zhang, Adam Burrows, Jason Nordhaus, Louis Howell, Mike Zingale topics and open questions * thermonuclear supernova: What are the progenitors: 1 or 2 white dwarfs? How does the nuclear runaway ignite and develop? How regular are these "standard candles" for cosmology? * core

  11. 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...

  12. Computing

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

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

  13. computers

    National Nuclear Security Administration (NNSA)

    California.

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

  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 Energy Defense Waste Management Programs Advanced Nuclear Energy

  15. 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

  16. Liliana Stan | Argonne National Laboratory

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

    Liisa O'Neill About Us Liisa O'Neill - Former New Media Specialist, Office of Public Affairs Liisa O'Neill A former online news producer, Liisa O'Neill served in the Office of Public Affairs as a New Media Specialist from May to December 2011. A graduate of New York University, Liisa O'Neill spent four years at ABC News and the New York Daily News, before moving to Washington, D.C., where she was an online communications consultant working with clean energy nonprofits, political campaigns and

  17. Computing Videos

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

    Computing Videos Computing

  18. Computing Frontier: Distributed Computing

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

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

  19. Computer, Computational, and Statistical Sciences

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

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

  20. Compute nodes

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

    Compute nodes Compute nodes Click here to see more detailed hierachical map of the topology of a compute node. Last edited: 2015-03-30 20:55:24...

    1. 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,...

    2. Computing Information

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

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

    3. 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...

    4. 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

    5. 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

    6. Computer Security

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

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

    7. Exascale Computing

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

      DesignForward FastForward CAL Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Exascale Computing Exascale Computing Moving forward into the exascale era, NERSC users place will place increased demands on NERSC computational facilities. Users will be facing increased complexity in the memory subsystem and node architecture. System designs and programming models will have to evolve to face these new challenges. NERSC staff are active in current initiatives addressing

    8. Computational Science

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

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

    9. 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...

    10. Compute Nodes

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

      low-overhead operating system optimized for high performance computing called "Cray Linux Environment" (CLE). This OS supports only a limited number of system calls and UNIX...

    11. 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...

    12. 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...

    13. 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

    14. 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...

    15. 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.

    16. 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

    17. 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.

    18. 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.

    19. 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

    20. Computational trigonometry

      SciTech Connect (OSTI)

      Gustafson, K.

      1994-12-31

      By means of the author`s earlier theory of antieigenvalues and antieigenvectors, a new computational approach to iterative methods is presented. This enables an explicit trigonometric understanding of iterative convergence and provides new insights into the sharpness of error bounds. Direct applications to Gradient descent, Conjugate gradient, GCR(k), Orthomin, CGN, GMRES, CGS, and other matrix iterative schemes will be given.

    1. Advanced Scientific Computing Research

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

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

    2. Theory, Simulation, and Computation

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

      Computer, Computational, and Statistical Sciences (CCS) Division is an international ... and statistics The deployment and integration of computational technology, ...

    3. Computing at JLab

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

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

    4. Computational Combustion

      SciTech Connect (OSTI)

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

      2004-08-26

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

    5. RATIO COMPUTER

      DOE Patents [OSTI]

      Post, R.F.

      1958-11-11

      An electronic computer circuit is described for producing an output voltage proportional to the product or quotient of tbe voltages of a pair of input signals. ln essence, the disclosed invention provides a computer having two channels adapted to receive separate input signals and each having amplifiers with like fixed amplification factors and like negatlve feedback amplifiers. One of the channels receives a constant signal for comparison purposes, whereby a difference signal is produced to control the amplification factors of the variable feedback amplifiers. The output of the other channel is thereby proportional to the product or quotient of input signals depending upon the relation of input to fixed signals in the first mentioned channel.

    6. 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

    7. 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

    8. 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

    9. 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

    10. 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...

    11. 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...

    12. Theory, Modeling and Computation

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

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

    13. Computer hardware fault administration

      DOE Patents [OSTI]

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

      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.

    14. 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 ...

    15. 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...

    16. 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 ...

    17. 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 ...

    18. 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...

    19. 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...

    20. Computational Science and Engineering

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

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

    1. Parallel computing works

      SciTech Connect (OSTI)

      Not Available

      1991-10-23

      An account of the Caltech Concurrent Computation Program (C{sup 3}P), a five year project that focused on answering the question: Can parallel computers be used to do large-scale scientific computations '' As the title indicates, the question is answered in the affirmative, by implementing numerous scientific applications on real parallel computers and doing computations that produced new scientific results. In the process of doing so, C{sup 3}P helped design and build several new computers, designed and implemented basic system software, developed algorithms for frequently used mathematical computations on massively parallel machines, devised performance models and measured the performance of many computers, and created a high performance computing facility based exclusively on parallel computers. While the initial focus of C{sup 3}P was the hypercube architecture developed by C. Seitz, many of the methods developed and lessons learned have been applied successfully on other massively parallel architectures.

    2. Computational 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

    3. Polymorphous computing fabric

      DOE Patents [OSTI]

      Wolinski, Christophe Czeslaw; Gokhale, Maya B.; McCabe, Kevin Peter

      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.

    4. 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...

    5. 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...

    6. 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.

    7. 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. ... with an emphasis on applying these capabilities to build computationally efficient models. ...

    8. Fermilab | Science at Fermilab | Computing | Grid Computing

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

      which would collect more data than any computing center in existence could process. ... consortium grid called Open Science Grid, so they initiated a project known as FermiGrid. ...

    9. 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

    10. 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

    11. Computers-BSA.ppt

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

      Energy Computers, Electronics and Electrical Equipment (2010 MECS) Computers, Electronics and Electrical Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Computers, Electronics and Electrical Equipment Sector (NAICS 334, 335) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint Computers, Electronics and Electrical Equipment (123.71 KB) More Documents

    12. Computing and Computational Sciences Directorate - Information Technology

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

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

    13. Computing and Computational Sciences Directorate - Information Technology

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

      Information Technology Information Technology (IT) at ORNL serves a diverse community of stakeholders and interests. From everyday operations like email and telecommunications to institutional cluster computing and high bandwidth networking, IT at ORNL is responsible for planning and executing a coordinated strategy that ensures cost-effective, state-of-the-art computing capabilities for research and development. ORNL IT delivers leading-edge products to users in a risk-managed portfolio of

    14. 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,

    15. 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

    16. 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.

    17. 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.

    18. 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)

    19. Sandia Energy - High Performance Computing

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

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

    20. Computing and Computational Sciences Directorate - Computer Science and

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

      Mathematics Division - Meetings and Workshops Awards Awards Night 2012 R&D LEADERSHIP, DIRECTOR LEVEL Winner: Brian Worley Organization: Computational Sciences & Engineering Division Citation: For exemplary program leadership of a successful and growing collaboration with the Department of Defense and for successfully initiating and providing oversight of a new data program with the Centers for Medicare and Medicaid Services. TECHNICAL SUPPORT Winner: Michael Matheson Organization:

    1. 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

    2. 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 modification. Among NERSC's security goal are: 1. To protect NERSC systems from unauthorized access. 2. To prevent the interruption of services to its users. 3. To prevent misuse or abuse of NERSC resources. Security Incidents If you think there has been a computer security incident you should contact NERSC Security as soon as

    3. Scientific Cloud Computing Misconceptions

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

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

    4. 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

    5. Computer Architecture Lab

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

      FastForward CAL Partnerships Shifter: 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 research and development into energy efficient and effective processor and memory architectures for DOE's Exascale program. CAL coordinates hardware architecture R&D activities across the DOE. CAL is a joint NNSA/SC activity involving Sandia National Laboratories (CAL-Sandia) and

    6. 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

    7. 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.

    8. Applied Computer Science

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

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

    9. 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

    10. Software and High Performance Computing

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

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

    11. ELECTRONIC DIGITAL COMPUTER

      DOE Patents [OSTI]

      Stone, J.J. Jr.; Bettis, E.S.; Mann, E.R.

      1957-10-01

      The electronic digital computer is designed to solve systems involving a plurality of simultaneous linear equations. The computer can solve a system which converges rather rapidly when using Von Seidel's method of approximation and performs the summations required for solving for the unknown terms by a method of successive approximations.

    12. Computer Processor Allocator

      Energy Science and Technology Software Center (OSTI)

      2004-03-01

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

    13. Indirection and computer security.

      SciTech Connect (OSTI)

      Berg, Michael J.

      2011-09-01

      The discipline of computer science is built on indirection. David Wheeler famously said, 'All problems in computer science can be solved by another layer of indirection. But that usually will create another problem'. We propose that every computer security vulnerability is yet another problem created by the indirections in system designs and that focusing on the indirections involved is a better way to design, evaluate, and compare security solutions. We are not proposing that indirection be avoided when solving problems, but that understanding the relationships between indirections and vulnerabilities is key to securing computer systems. Using this perspective, we analyze common vulnerabilities that plague our computer systems, consider the effectiveness of currently available security solutions, and propose several new security solutions.

    14. Computational Nuclear Structure | Argonne Leadership Computing Facility

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

      Excellent scaling is achieved by the production Automatic Dynamic Load Balancing (ADLB) library on the BG/P. Computational Nuclear Structure PI Name: David Dean Hai Nam PI Email: namha@ornl.gov deandj@ornl.gov Institution: Oak Ridge National Laboratory Allocation Program: INCITE Allocation Hours at ALCF: 15 Million Year: 2010 Research Domain: Physics Researchers from Oak Ridge and Argonne national laboratories are using complementary techniques, including Green's Function Monte Carlo, the No

    15. Computing and Computational Sciences Directorate - Information Technology

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

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

    16. 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

    17. 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}.

    18. Convergence: Computing and communications

      SciTech Connect (OSTI)

      Catlett, C.

      1996-12-31

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

    19. Computing and Computational Sciences Directorate - National Center for

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

      Computational Sciences Search Go! ORNL * Find People * Contact * Site Index * Comments Home Divisions and Centers Computational Sciences and Engineering Computer Science and Mathematics Information Technology Joint Institute for Computational Sciences National Center for Computational Sciences Supercomputing Projects Awards Employment Opportunities Student Opportunities About Us Organization In the News Contact Us Visitor Information ORNL Research Areas Neutron Sciences Biological Systems

    20. 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.

    1. 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.

    2. 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

    3. Edison Electrifies Scientific Computing

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

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

    4. 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

    5. Stencil Computation Optimization

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

      Stencil Computation Optimization and Auto-tuning on State-of-the-Art Multicore Architectures Kaushik Datta ∗† , Mark Murphy † , Vasily Volkov † , Samuel Williams ∗† , Jonathan Carter ∗ , Leonid Oliker ∗† , David Patterson ∗† , John Shalf ∗ , and Katherine Yelick ∗† ∗ CRD/NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA † Computer Science Division, University of California at Berkeley, Berkeley, CA 94720, USA Abstract Understanding the most

    6. 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

    7. 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.

    8. Argonne Leadership Computing Facility

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

      Argonne National Laboratory | 9700 South Cass Avenue | Argonne, IL 60439 | www.anl.gov | September 2013 alcf_keyfacts_fs_0913 Key facts about the Argonne Leadership Computing Facility User support and services Skilled experts at the ALCF enable researchers to conduct breakthrough science on the Blue Gene system in key ways. Catalysts are computational scientist with domain expertise and work directly with project principal investigators to maximize discovery and reduce time-to- solution.

    9. 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

    10. Applied Computer Science

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

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

    11. Computation supporting biodefense

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

      Conference on High-Speed Computing LANL / LLNL / SNL Salishan Lodge, Gleneden Beach, Oregon 24 April 2003 Murray Wolinsky murray@lanl.gov The Role of Computation in Biodefense 1. Biothreat 101 2. Bioinformatics 101 Examples 3. Sequence analysis: mpiBLAST Feng 4. Detection: KPATH Slezak 5. Protein structure: ROSETTA Strauss 6. Real-time epidemiology: EpiSIMS Eubank 7. Forensics: VESPA Myers, Korber 8. Needs System level analytical capabilities Enhanced phylogenetic algorithms Novel

    12. 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

    13. Computational Modeling | Bioenergy | NREL

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

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

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

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

      ... "Computational thinking requires you to think in abstractions," said Papka, who spoke to computer science and computer-aided design students at Kaneland High School in Maple Park about ...

    16. 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

    17. 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,...

    18. 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

    19. computers | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

      computers NNSA Announces Procurement of Penguin Computing Clusters to Support Stockpile Stewardship at National Labs The National Nuclear Security Administration's (NNSA's) Lawrence Livermore National Laboratory today announced the awarding of a subcontract to Penguin Computing - a leading developer of high-performance Linux cluster computing systems based in Silicon Valley - to bolster computing for stockpile... Sandia donates 242 computers to northern California schools Sandia National

    20. Information Science, Computing, Applied Math

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

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

    1. Information Science, Computing, Applied Math

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

      Information Science, Computing, Applied Math Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los ...

    2. 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...

    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 ...

    4. Michael Levitt and Computational Biology

      Office of Scientific and Technical Information (OSTI)

      ... Additional Web Pages: 3 Scientists Win Chemistry Nobel for Complex Computer Modeling, npr Stanford's Nobel Chemistry Prize Honors Computer Science, San Jose Mercury News Without ...

    5. Advanced Scientific Computing Research (ASCR)

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

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

    6. 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...

    7. 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 ...

    8. 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.

    9. An introduction to computer viruses

      SciTech Connect (OSTI)

      Brown, D.R.

      1992-03-01

      This report on computer viruses is based upon a thesis written for the Master of Science degree in Computer Science from the University of Tennessee in December 1989 by David R. Brown. This thesis is entitled An Analysis of Computer Virus Construction, Proliferation, and Control and is available through the University of Tennessee Library. This paper contains an overview of the computer virus arena that can help the reader to evaluate the threat that computer viruses pose. The extent of this threat can only be determined by evaluating many different factors. These factors include the relative ease with which a computer virus can be written, the motivation involved in writing a computer virus, the damage and overhead incurred by infected systems, and the legal implications of computer viruses, among others. Based upon the research, the development of a computer virus seems to require more persistence than technical expertise. This is a frightening proclamation to the computing community. The education of computer professionals to the dangers that viruses pose to the welfare of the computing industry as a whole is stressed as a means of inhibiting the current proliferation of computer virus programs. Recommendations are made to assist computer users in preventing infection by computer viruses. These recommendations support solid general computer security practices as a means of combating computer viruses.

    10. 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.

    11. 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.

    12. 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.

    13. 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

    14. computation | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

      computation Groundbreaking Leader of Computation at LLNL Retires Dona Crawford, Associate Director for Computation at NNSA's Lawrence Livermore National Laboratory (LLNL), announced her retirement last week after 15 years of leading Livermore's Computation Directorate. "Dona has successfully led a multidisciplinary 1000-person team that develops and deploys

    15. 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 ...

    16. Computer Science and Information Technology Student Pipeline

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

      in the areas of Computer Science, Information Technology, Management Information Systems, Computer Security, Software Engineering, Computer Engineering, and Electrical Engineering. ...

    17. SCC: The Strategic Computing Complex

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

      SCC: The Strategic Computing Complex SCC: The Strategic Computing Complex The Strategic Computing Complex (SCC) is a secured supercomputing facility that supports the calculation, modeling, simulation, and visualization of complex nuclear weapons data in support of the Stockpile Stewardship Program. The 300,000-square-foot, vault-type building features an unobstructed 43,500-square-foot computer room, which is an open room about three-fourths the size of a football field. The Strategic Computing

    18. 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

    19. 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

    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. 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

    2. 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.

    3. 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

    4. 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

    5. Cloud Computing Services

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

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

    6. 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.

    7. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained

    8. 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

    9. 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

    10. 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

    11. Computational Electronics and Electromagnetics

      SciTech Connect (OSTI)

      DeFord, J.F.

      1993-03-01

      The Computational Electronics and Electromagnetics thrust area is a focal point for computer modeling activities in electronics and electromagnetics in the Electronics Engineering Department of Lawrence Livermore National Laboratory (LLNL). Traditionally, they have focused their efforts in technical areas of importance to existing and developing LLNL programs, and this continues to form the basis for much of their research. A relatively new and increasingly important emphasis for the thrust area is the formation of partnerships with industry and the application of their simulation technology and expertise to the solution of problems faced by industry. The activities of the thrust area fall into three broad categories: (1) the development of theoretical and computational models of electronic and electromagnetic phenomena, (2) the development of useful and robust software tools based on these models, and (3) the application of these tools to programmatic and industrial problems. In FY-92, they worked on projects in all of the areas outlined above. The object of their work on numerical electromagnetic algorithms continues to be the improvement of time-domain algorithms for electromagnetic simulation on unstructured conforming grids. The thrust area is also investigating various technologies for conforming-grid mesh generation to simplify the application of their advanced field solvers to design problems involving complicated geometries. They are developing a major code suite based on the three-dimensional (3-D), conforming-grid, time-domain code DSI3D. They continue to maintain and distribute the 3-D, finite-difference time-domain (FDTD) code TSAR, which is installed at several dozen university, government, and industry sites.

    12. 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.

    13. 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.

    14. 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.

    15. 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

    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

    17. 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.

    18. Announcement of Computer Software

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

      F 241.4 (10-01) (Replaces ESTSC F1 and ESTSC F2) 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 page of Instructions) Record Status (Select One): New Package Software Revision H. Description/Abstract PART I: STI SOFTWARE DESCRIPTION A. Software Title SHORT NAME OR ACRONYM KEYWORDS IN CONTEXT (KWIC) TITLE B. Developer(s) E-MAIL ADDRESS(ES) C. Site Product Number 1. DOE

    19. 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...

    20. 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....

    1. Present and Future Computing Requirements

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

      Computational Cosmology DES LSST Presenter: Salman Habib Argonne National Laboratory Jim Ahrens (LANL) Scott Dodelson (FNAL) Katrin Heitmann (ANL) Peter Nugent (LBNL) Anze Slosar (BNL) Risa Wechsler (SLAC) 1 Cosmic Frontier Computing Collaboration Computational 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 Requirements for High Energy Physics Research A DOE Technical

    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. 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

    4. MELCOR computer code manuals

      SciTech Connect (OSTI)

      Summers, R.M.; Cole, R.K. Jr.; Smith, R.C.; Stuart, D.S.; Thompson, S.L.; Hodge, S.A.; Hyman, C.R.; Sanders, R.L.

      1995-03-01

      MELCOR is a fully integrated, engineering-level computer code that models the progression of severe accidents in light water reactor nuclear power plants. MELCOR is being developed at Sandia National Laboratories for the U.S. Nuclear Regulatory Commission as a second-generation plant risk assessment tool and the successor to the Source Term Code Package. A broad spectrum of severe accident phenomena in both boiling and pressurized water reactors is treated in MELCOR in a unified framework. These include: thermal-hydraulic response in the reactor coolant system, reactor cavity, containment, and confinement buildings; core heatup, degradation, and relocation; core-concrete attack; hydrogen production, transport, and combustion; fission product release and transport; and the impact of engineered safety features on thermal-hydraulic and radionuclide behavior. Current uses of MELCOR include estimation of severe accident source terms and their sensitivities and uncertainties in a variety of applications. This publication of the MELCOR computer code manuals corresponds to MELCOR 1.8.3, released to users in August, 1994. Volume 1 contains a primer that describes MELCOR`s phenomenological scope, organization (by package), and documentation. The remainder of Volume 1 contains the MELCOR Users Guides, which provide the input instructions and guidelines for each package. Volume 2 contains the MELCOR Reference Manuals, which describe the phenomenological models that have been implemented in each package.

    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 .

    6. 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.

    7. 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.

    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. 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.

    10. Sandia National Laboratories: Advanced Simulation and Computing:

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

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

    11. Paul C. Messina | Argonne Leadership Computing Facility

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

      He led the Computational and Computer Science component of Caltech's research project funded by the Academic Strategic Alliances Program of the Accelerated Strategic Computing ...

    12. 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...

    13. 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...

    14. 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

    15. Python and computer vision

      SciTech Connect (OSTI)

      Doak, J. E.; Prasad, Lakshman

      2002-01-01

      This paper discusses the use of Python in a computer vision (CV) project. We begin by providing background information on the specific approach to CV employed by the project. This includes a brief discussion of Constrained Delaunay Triangulation (CDT), the Chordal Axis Transform (CAT), shape feature extraction and syntactic characterization, and normalization of strings representing objects. (The terms 'object' and 'blob' are used interchangeably, both referring to an entity extracted from an image.) The rest of the paper focuses on the use of Python in three critical areas: (1) interactions with a MySQL database, (2) rapid prototyping of algorithms, and (3) gluing together all components of the project including existing C and C++ modules. For (l), we provide a schema definition and discuss how the various tables interact to represent objects in the database as tree structures. (2) focuses on an algorithm to create a hierarchical representation of an object, given its string representation, and an algorithm to match unknown objects against objects in a database. And finally, (3) discusses the use of Boost Python to interact with the pre-existing C and C++ code that creates the CDTs and CATS, performs shape feature extraction and syntactic characterization, and normalizes object strings. The paper concludes with a vision of the future use of Python for the CV project.

    16. 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

    17. 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

    18. Parallel Computing Summer Research Internship

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

      Students 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 2016: Students Peter Ahrens Peter Ahrens Electrical Engineering & Computer Science BS UC Berkeley Jenniffer Estrada Jenniffer Estrada Computer Science MS Youngstown

    19. 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

    20. 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

    1. Computational Cosmology | Argonne National Laboratory

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

      Computational Cosmology Computational Cosmology To study the mysterious dark sector we use powerful simulations on state-of-the-art high-performance computers, run at Argonne and elsewhere. By developing specialized codes for these supercomputers, and by comparing their results to observations from deep surveys of the sky, we aim to answer some of the most fundamental questions in physics: What is dark matter made of? What is the nature of dark energy? Does general relativity need to be

    2. 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...

    3. Parallel Computing Summer Research Internship

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

      Recommended Reading & Resources Parallel Computing Summer Research Internship Creates next-generation leaders in HPC research and applications development Contacts Program Co-Lead ...

    4. Thrusts in High Performance Computing

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

      in HPC 1 Thrusts in High Performance Computing Science at Scale Petaflops to Exaflops Science through Volume Thousands to Millions of Simulations Science in Data Petabytes to ...

    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...

    6. GPAW | Argonne Leadership Computing Facility

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

      to build documentation for our new computing resource. Feedback Form GPAW What is ... NOTE: The calculation must fit in memory. Frequently Asked Questions How do I restart a ...

    7. 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...

    8. 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.

    9. Parallel Computing Summer Research Internship

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

      Professional Staff Assistant Nickole Aguilar Garcia (505) 665-3048 Email 2016: Students Peter Ahrens Peter Ahrens Electrical Engineering & Computer Science BS UC Berkeley Jenniffer ...

    10. Presentation: High Performance Computing Applications

      Office of Energy Efficiency and Renewable Energy (EERE)

      A briefing to the Secretary's Energy Advisory Board on High Performance Computing Applications delivered by Frederick H. Streitz, Lawrence Livermore National Laboratory.

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

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

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

    12. 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.

    13. Constructing the ASCI computational grid

      SciTech Connect (OSTI)

      BEIRIGER,JUDY I.; BIVENS,HUGH P.; HUMPHREYS,STEVEN L.; JOHNSON,WILBUR R.; RHEA,RONALD E.

      2000-06-01

      The Accelerated Strategic Computing Initiative (ASCI) computational grid is being constructed to interconnect the high performance computing resources of the nuclear weapons complex. The grid will simplify access to the diverse computing, storage, network, and visualization resources, and will enable the coordinated use of shared resources regardless of location. To match existing hardware platforms, required security services, and current simulation practices, the Globus MetaComputing Toolkit was selected to provide core grid services. The ASCI grid extends Globus functionality by operating as an independent grid, incorporating Kerberos-based security, interfacing to Sandia's Cplant{trademark},and extending job monitoring services. To fully meet ASCI's needs, the architecture layers distributed work management and criteria-driven resource selection services on top of Globus. These services simplify the grid interface by allowing users to simply request ''run code X anywhere''. This paper describes the initial design and prototype of the ASCI grid.

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

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

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

    15. 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

    16. 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.

    17. GPU Computing - Dirac.pptx

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

      GPU Computing with Dirac Hemant Shukla 2 Architectural Differences 2 ALU Cache DRAM Control Logic DRAM CPU GPU 512 cores 10s t o 1 00s o f t hreads p er c ore Latency i s h idden b y f ast c ontext switching Less t han 2 0 c ores 1---2 t hreads p er c ore Latency i s h idden b y l arge c ache 3 Programming Models 3 CUDA (Compute Unified Device Architecture) OpenCL Microsoft's DirectCompute Third party wrappers are also available for Python, Perl, Fortran, Java, Ruby, Lua, MATLAB, IDL, and

    18. HEP Computing | Argonne National Laboratory

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

      HEP Computing A number of computing resources are available for HEP employees and visitors. Problem Report or Service Request - Send email to the computing group and log it on the Problem Report Page. (Note: You need to be connected to the ANL network or to be running VPN to submit a problem report.) New Users or Visitors - Start here if you are new to Argonne HEP. Password Help Email Windows Desktops Laptops Linux Users HEP Division FAQs - Find answers for commonly requested information here.

    19. The Computational Physics Program of the national MFE Computer Center

      SciTech Connect (OSTI)

      Mirin, A.A.

      1989-01-01

      Since June 1974, the MFE Computer Center has been engaged in a significant computational physics effort. The principal objective of the Computational Physics Group is to develop advanced numerical models for the investigation of plasma phenomena and the simulation of present and future magnetic confinement devices. Another major objective of the group is to develop efficient algorithms and programming techniques for current and future generations of supercomputers. The Computational Physics Group has been involved in several areas of fusion research. One main area is the application of Fokker-Planck/quasilinear codes to tokamaks. Another major area is the investigation of resistive magnetohydrodynamics in three dimensions, with applications to tokamaks and compact toroids. A third area is the investigation of kinetic instabilities using a 3-D particle code; this work is often coupled with the task of numerically generating equilibria which model experimental devices. Ways to apply statistical closure approximations to study tokamak-edge plasma turbulence have been under examination, with the hope of being able to explain anomalous transport. Also, we are collaborating in an international effort to evaluate fully three-dimensional linear stability of toroidal devices. In addition to these computational physics studies, the group has developed a number of linear systems solvers for general classes of physics problems and has been making a major effort at ascertaining how to efficiently utilize multiprocessor computers. A summary of these programs are included in this paper. 6 tabs.

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

      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 ...

    1. Power throttling of collections of computing elements

      DOE Patents [OSTI]

      Bellofatto, Ralph E.; Coteus, Paul W.; Crumley, Paul G.; Gara, Alan G.; Giampapa, Mark E.; Gooding; Thomas M.; Haring, Rudolf A.; Megerian, Mark G.; Ohmacht, Martin; Reed, Don D.; Swetz, Richard A.; Takken, Todd

      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.

    2. Filtration theory using computer simulations

      SciTech Connect (OSTI)

      Bergman, W.; Corey, I.

      1997-08-01

      We have used commercially available fluid dynamics codes based on Navier-Stokes theory and the Langevin particle equation of motion to compute the particle capture efficiency and pressure drop through selected two- and three-dimensional fiber arrays. The approach we used was to first compute the air velocity vector field throughout a defined region containing the fiber matrix. The particle capture in the fiber matrix is then computed by superimposing the Langevin particle equation of motion over the flow velocity field. Using the Langevin equation combines the particle Brownian motion, inertia and interception mechanisms in a single equation. In contrast, most previous investigations treat the different capture mechanisms separately. We have computed the particle capture efficiency and the pressure drop through one, 2-D and two, 3-D fiber matrix elements. 5 refs., 11 figs.

    3. Filtration theory using computer simulations

      SciTech Connect (OSTI)

      Bergman, W.; Corey, I.

      1997-01-01

      We have used commercially available fluid dynamics codes based on Navier-Stokes theory and the Langevin particle equation of motion to compute the particle capture efficiency and pressure drop through selected two- and three- dimensional fiber arrays. The approach we used was to first compute the air velocity vector field throughout a defined region containing the fiber matrix. The particle capture in the fiber matrix is then computed by superimposing the Langevin particle equation of motion over the flow velocity field. Using the Langevin equation combines the particle Brownian motion, inertia and interception mechanisms in a single equation. In contrast, most previous investigations treat the different capture mechanisms separately. We have computed the particle capture efficiency and the pressure drop through one, 2-D and two, 3-D fiber matrix elements.

    4. Tukey | Argonne Leadership Computing Facility

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

      Tukey has a total of 96 compute nodes; each node has 16 CPU cores and two NVIDIA Tesla ... per CPU, 16 cores total) GPUs: Two NVIDIA Tesla M2070 GPUs per node Memorynode: 64GB RAM ...

    5. 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.

    6. 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:

    7. 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

    8. Computer Assisted Virtual Environment - CAVE

      SciTech Connect (OSTI)

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

      2014-01-14

      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.

    9. Vesta | Argonne Leadership Computing Facility

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

      Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Vesta Vesta is the ALCF's test and development platform, serving as a launching pad for researchers planning to use Mira. Vesta has the same architecture as Mira, but on a much smaller scale (two computer racks compared to Mira's 48 racks). This system enables researchers to debug and scale up codes for the Blue Gene/Q architecture in

    10. 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.

    11. 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

    12. Parallel Computing Summer Research Internship

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

      Recommended Reading & Resources 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 Recommended Reading & References The Parallel Computing Summer Research Internship covers a broad range of topics that you may not have

    13. 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

    14. Parallel Computing Summer Research Internship

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

      LaboratoryNational Security Education Center Menu About Seminar Series Summer Schools Workshops Viz Collab IS&T Projects NSEC » Information Science and Technology Institute (ISTI) » Summer School Programs » 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

    15. 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.

    16. 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

    17. 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

    18. 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

    19. Computer modeling helps manage wildfires

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

      Computer modeling helps manage wildfires Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue: September 1, 2016 all issues All Issues » submit Computer modeling helps manage wildfires Technology increases preparedness, improves firefighting strategies. September 1, 2016 Smoke over the Jemez Mountains during the 2011 Las Conchas wildfire. Smoke over the Jemez Mountains during the 2011 Las Conchas wildfire. Contacts Director, Community

    20. 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.

    1. 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

    2. 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 outlined in the "Use of SLAC Information Resources". Links are provided below for computer account forms and the computer security agreement which must be completed and sent to the appropriate contact person. SSRL does not charge for use of its computer systems. Forms X-ray/VUV Computer Account Request Form

    3. 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...

    4. 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...

    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 Publications Publications Ramon Ravelo, Qi An, Timothy C. Germann, and Brad Lee Holian, ...

    6. Predictive Capability Maturity Model for computational modeling...

      Office of Scientific and Technical Information (OSTI)

      Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, ...

    7. 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...

    8. PREPARING FOR EXASCALE: ORNL Leadership Computing Application...

      Office of Scientific and Technical Information (OSTI)

      This effort targeted science teams whose projects received large computer allocation ... the proposed time frame will require disruptive changes in computer hardware and software. ...

    9. Computational Procedures for Determining Parameters in Ramberg...

      Office of Scientific and Technical Information (OSTI)

      2 RAMBO: A Computer Code for Determining Parameters in Ramberg-Osgood Elastoplastic Model Based on Modulus and Damping Versus Strain ABSTRACT A computer code, RAMBO, is ...

    10. Accerelate Your Vision | Argonne Leadership Computing Facility

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

      Our Catalysts are computational scientists with domain expertise in areas such as chemistry, materials science, fusion, nuclear physics, plasma physics, computer science, ...

    11. About ALCF | Argonne Leadership Computing Facility

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

      discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. ...

    12. ALCF Acknowledgment Policy | Argonne Leadership Computing Facility

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

      Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User ...

    13. NREL: Energy Systems Integration - Computational Science and...

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

      Computational Science and Visualization Computational science and visualization capabilities at NREL propel technology innovation as a research tool by which scientists and ...

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

      National Nuclear Security Administration (NNSA)

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

    15. 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...

    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...

    17. 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...

    18. 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...

    19. 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...

    20. 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...

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

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

      Applications for Postdoctoral Fellowship in Computational Science at Berkeley Lab due November 26 October 15, 2012 by Francesca Verdier Researchers in computer science, applied ...

    2. 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 ...

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

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

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

    4. Computational procedures for determining parameters in Ramberg...

      Office of Scientific and Technical Information (OSTI)

      A computer code, RAMBO, is developed for obtaining the values of parameters in the ... DAMPING; HYSTERESIS; SHEAR; STRAINS; COMPUTER CODES; MECHANICAL PROPERTIES; TENSILE ...

    5. 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...

    6. 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.

    7. The computational physics program of the National MFE Computer Center

      SciTech Connect (OSTI)

      Mirin, A.A.

      1988-01-01

      The principal objective of the Computational Physics Group is to develop advanced numerical models for the investigation of plasma phenomena and the simulation of present and future magnetic confinement devices. Another major objective of the group is to develop efficient algorithms and programming techniques for current and future generation of supercomputers. The computational physics group is involved in several areas of fusion research. One main area is the application of Fokker-Planck/quasilinear codes to tokamaks. Another major area is the investigation of resistive magnetohydrodynamics in three dimensions, with applications to compact toroids. Another major area is the investigation of kinetic instabilities using a 3-D particle code. This work is often coupled with the task of numerically generating equilibria which model experimental devices. Ways to apply statistical closure approximations to study tokamak-edge plasma turbulence are being examined. In addition to these computational physics studies, the group has developed a number of linear systems solvers for general classes of physics problems and has been making a major effort at ascertaining how to efficiently utilize multiprocessor computers.

    8. 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.

    9. FUNCTION GENERATOR FOR ANALOGUE COMPUTERS

      DOE Patents [OSTI]

      Skramstad, H.K.; Wright, J.H.; Taback, L.

      1961-12-12

      An improved analogue computer is designed which can be used to determine the final ground position of radioactive fallout particles in an atomic cloud. The computer determines the fallout pattern on the basis of known wind velocity and direction at various altitudes, and intensity of radioactivity in the mushroom cloud as a function of particle size and initial height in the cloud. The output is then displayed on a cathode-ray tube so that the average or total luminance of the tube screen at any point represents the intensity of radioactive fallout at the geographical location represented by that point. (AEC)

    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