National Library of Energy BETA

Sample records for group computational sciences

  1. 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...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. 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

  6. 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

  7. 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...

  8. Applied Computer Science

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

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

  9. Computational 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 ...

  10. 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

  11. 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

  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. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT, J.

    2005-11-01

    The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include, for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security. To achieve our goals we have established a close alliance with applied mathematicians and computer scientists at Stony Brook and Columbia Universities.

  14. 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 ...

  15. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT, J.

    2006-11-01

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

  16. NERSC Hosts 50 Enthusiastic Computer Science Students from Dougherty...

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

    Hosts 50 Enthusiastic Computer Science Students from Dougherty Valley High NERSC Hosts 50 Enthusiastic Computer Science Students from Dougherty Valley High May 31, 2016 A group of ...

  17. 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

  18. 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

  19. Data System Sciences & Engineering Group

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

    Architectures for National Security Risk Analysis Streaming Realtime Sensor Networks Visual Analytics Opportunities Contact Us Data System Sciences & Engineering Group DSSE goes...

  20. Science Education Group | Princeton Plasma Physics Lab

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

    Science Education Group View larger image Sci Ed Group 15 View larger image Group 21

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

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

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

  2. 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 ...

  3. 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...

  4. 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:

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

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

    from underrepresented groups learn about careers in a variety of IT fields, the Laney College Computer Information Systems Department offered its Upgrade: Computer Science Program. ...

  6. Computational Materials Science | Materials Science | NREL

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

    Computational Materials Science An image of interconnecting, sphere- and square-shaped particles that appears to be floating in space NREL's computational materials science capabilities span many research fields and interests. Electronic, Optical, and Transport Properties of Photovoltaic Materials Material properties and defect physics of Si, CdTe, III-V, CIGS, CZTS, and hybrid perovskite compounds Reconstruction of, and defect formation on, semiconductor surfaces Electronic and transport

  7. 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. ...

  8. 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

  9. Lighting Science Group | Open Energy Information

    Open Energy Info (EERE)

    Science Group Jump to: navigation, search Name: Lighting Science Group Place: Dallas, Texas Zip: 75201 Product: LED design company, with multiple patents pending in power...

  10. Molecular Science Computing | EMSL

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

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

  11. 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. ...

  12. 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

  13. 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

  14. Molecular Science Computing: 2010 Greenbook

    SciTech Connect (OSTI)

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

    2010-04-02

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

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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

  19. Computing and Computational Sciences Directorate - Computer Science and

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

    Mathematics Division Supercomputing Oak Ridge National Laboratory is home to several of the world's most powerful supercomputing resources. Each of these resources is dedicated to delivering high-impact science results for the researchers that utilize them. For more information about each of these systems, please visit the following: Titan Kraken Gaea

  20. Former NERSC Consultant Mentors Math, Computer Science Students

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

    Former NERSC Consultant Mentors Math, Computer Science Students Former NERSC Consultant Mentors Math, Computer Science Students March 10, 2015 Frank Hale, a former consultant in NERSC's User Services Group (USG) who currently tutors math at Diablo Valley College (DVC) in Pleasant Hill, CA, recently brought a group of computer science enthusiasts from the college to NERSC for a tour. Hale, the first person hired into the USG when NERSC relocated from Lawrence Livermore National Laboratory to

  1. NERSC Hosts 50 Enthusiastic Computer Science Students from Dougherty Valley

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

    High Hosts 50 Enthusiastic Computer Science Students from Dougherty Valley High NERSC Hosts 50 Enthusiastic Computer Science Students from Dougherty Valley High May 31, 2016 A group of 50 enthusiastic computer science students from Dougherty Valley High School in San Ramon, CA visited NERSC May 26, where they toured the computer room and participated in lively discussions about the facility and how supercomputers work. They asked great questions, such as "In the future, will there be

  2. NERSC seeks Computational Systems Group Lead

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

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

  3. Jay Srinivasan! Group Lead, Computational Systems!

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

    Group Lead, Computational Systems! NUG - Feb 2015 Computational Systems Update NERSC - 2014 --- 2 --- Sponsored C ompute S ystems Carver, P DSF, J GI, K BASE, H EP 8 x F DR I B /global/ scratch 4 PB /project 5 PB /home 250 TB 45 P B s tored, 2 40 P B capacity, 4 0 y ears o f community d ata HPSS 48 GB/s 2.2 P B L ocal Scratch 70 GB/s 6.4 P B L ocal Scratch 140 GB/s 80 GB/s 2 x 10 Gb 1 x 100 Gb Science D ata N etwork Vis & A naly?cs, D ata T ransfer N odes, Adv. A rch., S cience G ateways 80

  4. Computer Networking Group | Stanford Synchrotron Radiation Lightsource

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

    Computer Networking Group Do you need help? For assistance please submit a CNG Help Request ticket. CNG Logo Chris Ramirez SSRL Computer and Networking Group (650) 926-2901 | email ...

  5. 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...

  6. Science at ALCF | Argonne Leadership Computing Facility

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

    Featured Science Simulation of cosmic reionization Cosmic Reionization On Computers Nickolay Gnedin Allocation Program: INCITE Allocation Hours: 65 Million Science at ALCF Allocation Program - Any - INCITE ALCC ESP Director's Discretionary Year Year -Year 2008 2009 2010 2011 2012 2013 2014 2015 2016 Research Domain - Any - Physics Mathematics Computer Science Chemistry Earth Science Energy Technologies Materials Science Engineering Biological Sciences Apply sort descending An example of a

  7. Computer Science and Information Technology Student Pipeline

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

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

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

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

    efforts Popular Science asks Jaguar: Oak Ridge National Lab Turns to NVIDIA Tesla GPUs to Deploy World's Leading Supercomputer Cray's Titan Supercomputer for ORNL Could ...

  9. Understanding and Improving Computational Science Storage Access...

    Office of Scientific and Technical Information (OSTI)

    Title: Understanding and Improving Computational Science Storage Access Through Continuous Characterization Authors: Carns, P. ; Harms, K. ; Allcock, W. ; Bacon, C. ; Lang, S. ; ...

  10. SC e-journals, Computer Science

    Office of Scientific and Technical Information (OSTI)

    Computer Science ACM Letters on Programming Languages and Systems (LOPLAS) ACM Transactions on Applied Perception (TAP) ACM Transactions on Architecture and Code Optimization ...

  11. Early Science Program | Argonne Leadership Computing Facility

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

    In addition to fostering application readiness, the ESP allows researchers to pursue innovative computational science projects not possible on today's leadership-class ...

  12. Computing and Computational Sciences Directorate - About Us

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

    ORNL's Jaguar being phased out, but Titan could be No. 1 Nanotube 'sponge' has potential in oil spill cleanup Women Still Struggle to Find Their Place in HPC Science on Titan (the supercomputer, not the Saturn moon) What it's like to play with the Jaguar supercomputer Three ORNL Supercomputers in Top 20 at SC11 Secretary of Energy recognizes ORNL Fukushima, Gulf, nonproliferation efforts Popular Science asks Jaguar: Oak Ridge National Lab Turns to NVIDIA Tesla GPUs to Deploy World's Leading

  13. Science at ALCF | Argonne Leadership Computing Facility

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

    Science at ALCF Allocation Program - Any - INCITE ALCC ESP Director's Discretionary Year Year -Year 2008 2009 2010 2011 2012 2013 2014 2015 2016 Research Domain - Any - Physics Mathematics Computer Science Chemistry Earth Science Energy Technologies Materials Science Engineering Biological Sciences Apply sort descending Advanced Electronic Structure Methods for Heterogeneous Catalysis and Separation of Heavy Metals Mark Gordon, Iowa State University ESP 2015 Chemistry Weak ignition behind a

  14. Science at ALCF | Argonne Leadership Computing Facility

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

    Science at ALCF Allocation Program - Any - INCITE ALCC ESP Director's Discretionary Year Year -Year 2008 2009 2010 2011 2012 2013 2014 2015 2016 Research Domain - Any - Physics Mathematics Computer Science Chemistry Earth Science Energy Technologies Materials Science Engineering Biological Sciences Apply sort descending An example of a Category 5 hurricane simulated by the CESM at 13 km resolution Accelerated Climate Modeling for Energy Mark Taylor, Sandia National Laboratories INCITE 2016 100

  15. Theory VI. Computational Materials Sciences Network (CMSN)

    SciTech Connect (OSTI)

    Zhang, Z Y

    2008-06-25

    The Computational Materials Sciences Network (CMSN) is a virtual center consisting of scientists interested in working together, across organizational and disciplinary boundaries, to formulate and pursue projects that reflect challenging and relevant computational research in the materials sciences. The projects appropriate for this center involve those problems best pursued through broad cooperative efforts, rather than those key problems best tackled by single investigator groups. CMSN operates similarly to the DOE Center of Excellence for the Synthesis and Processing of Advanced Materials, coordinated by George Samara at Sandia. As in the Synthesis and Processing Center, the intent of the modest funding for CMSN is to foster partnering and collective activities. All CMSN proposals undergo external peer review and are judged foremost on the quality and timeliness of the science and also on criteria relevant to the objective of the center, especially concerning a strategy for partnering. More details about CMSN can be found on the CMSN webpages at: http://cmpweb.ameslab.gov/ccms/CMSN-homepage.html.

  16. ASCR Workshop on Quantum Computing for Science

    SciTech Connect (OSTI)

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

    2015-06-01

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

  17. 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

  18. Computational social dynamic modeling of group recruitment.

    SciTech Connect (OSTI)

    Berry, Nina M.; Lee, Marinna; Pickett, Marc; Turnley, Jessica Glicken; Smrcka, Julianne D.; Ko, Teresa H.; Moy, Timothy David; Wu, Benjamin C.

    2004-01-01

    The Seldon software toolkit combines concepts from agent-based modeling and social science to create a computationally social dynamic model for group recruitment. The underlying recruitment model is based on a unique three-level hybrid agent-based architecture that contains simple agents (level one), abstract agents (level two), and cognitive agents (level three). This uniqueness of this architecture begins with abstract agents that permit the model to include social concepts (gang) or institutional concepts (school) into a typical software simulation environment. The future addition of cognitive agents to the recruitment model will provide a unique entity that does not exist in any agent-based modeling toolkits to date. We use social networks to provide an integrated mesh within and between the different levels. This Java based toolkit is used to analyze different social concepts based on initialization input from the user. The input alters a set of parameters used to influence the values associated with the simple agents, abstract agents, and the interactions (simple agent-simple agent or simple agent-abstract agent) between these entities. The results of phase-1 Seldon toolkit provide insight into how certain social concepts apply to different scenario development for inner city gang recruitment.

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

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

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

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

    Office of Science (SC) Website

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

  1. Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences

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

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

  2. Former NERSC Consultant Mentors Math, Computer Science Students

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

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

  3. ALCF Data Science Program | Argonne Leadership Computing Facility

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

    ALCF Data Science Program The ALCF Data Science Program (ADSP) is targeted at "big data" science problems that require the scale and performance of leadership computing resources. ...

  4. SIAM Conference on Computational Science and Engineering

    SciTech Connect (OSTI)

    2003-01-01

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

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

    Office of Scientific and Technical Information (OSTI)

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

  6. Sandia National Laboratories: Careers: Computer Science

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

    Computer Science Red Storm photo Sandia's supercomputing research is reaching for tomorrow's exascale performance while solving real-world problems today. Computer scientists and engineers at Sandia work on a variety of projects that range from research to full life-cycle product development and support. For example, their research activities cover both "bits and bytes" operating systems-level research and leading-edge information technology research in areas such as distributed

  7. Applications for Postdoctoral Fellowship in Computational Science at

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

    Berkeley Lab due November 26 Postdoctoral Fellowship in Computational Science at Berkeley Lab Applications for Postdoctoral Fellowship in Computational Science at Berkeley Lab due November 26 October 15, 2012 by Francesca Verdier Researchers in computer science, applied mathematics or any computational science discipline who have received their Ph.D. within the last three years are encouraged to apply for the Luis W. Alvarez Postdoctoral Fellowship in Computational Science at Lawrence

  8. Computing Sciences Staff Help East Bay High Schoolers Upgrade their Summer

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

    Computing Sciences Staff Help East Bay High Schoolers Upgrade their Summer Computing Sciences Staff Help East Bay High Schoolers Upgrade their Summer August 6, 2015 Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 To help prepare students from underrepresented groups learn about careers in a variety of IT fields, the Laney College Computer Information Systems Department offered its Upgrade: Computer Science Program. Thirty-eight students from 10 East Bay high schools registered for the eight-week

  9. [Computer Science and Telecommunications Board activities

    SciTech Connect (OSTI)

    Blumenthal, M.S.

    1993-02-23

    The board considers technical and policy issues pertaining to computer science, telecommunications, and associated technologies. Functions include providing a base of expertise for these fields in NRC, monitoring and promoting health of these fields, initiating studies of these fields as critical resources and sources of national economic strength, responding to requests for advice, and fostering interaction among the technologies and the other pure and applied science and technology. This document describes its major accomplishments, current programs, other sponsored activities, cooperative ventures, and plans and prospects.

  10. DOE Science Showcase - Computing Research | OSTI, US Dept of...

    Office of Scientific and Technical Information (OSTI)

    DOE Science Showcase - Computing Research For the growing number of problems where ... of data, producing advances in areas of science and technology that are essential to DOE ...

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

    Office of Science (SC) Website

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

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

    Office of Science (SC) Website

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

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

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

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

  14. NNSA/CEA Cooperation in Computer Science | National Nuclear Security...

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

    Computing NNSACEA Cooperation in Computer Science Introduction On March 13, 2002 Directors of the DOENational Nuclear Security Administration (NNSA) and the Commissariat ...

  15. The Science DMZ Eli Dart, Network Engineer ESnet Engineering Group

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

    Science DMZ Eli Dart, Network Engineer ESnet Engineering Group Winter 2011 Joint Techs Clemson, SC February 1, 2011 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science Overview Science Needs * Data tsunami, new science processes * Current problems * Consequences What is important and how to accomplish it * Important aspects of the network for users * Science DMZ architecture Security Concerns Recap Resources Lawrence Berkeley National Laboratory U.S. Department of

  16. Is ""predictability"" in computational sciences a myth?

    SciTech Connect (OSTI)

    Hemez, Francois M [Los Alamos National Laboratory

    2011-01-31

    Within the last two decades, Modeling and Simulation (M&S) has become the tool of choice to investigate the behavior of complex phenomena. Successes encountered in 'hard' sciences are prompting interest to apply a similar approach to Computational Social Sciences in support, for example, of national security applications faced by the Intelligence Community (IC). This manuscript attempts to contribute to the debate on the relevance of M&S to IC problems by offering an overview of what it takes to reach 'predictability' in computational sciences. Even though models developed in 'soft' and 'hard' sciences are different, useful analogies can be drawn. The starting point is to view numerical simulations as 'filters' capable to represent information only within specific length, time or energy bandwidths. This simplified view leads to the discussion of resolving versus modeling which motivates the need for sub-scale modeling. The role that modeling assumptions play in 'hiding' our lack-of-knowledge about sub-scale phenomena is explained which leads to discussing uncertainty in simulations. It is argued that the uncertainty caused by resolution and modeling assumptions should be dealt with differently than uncertainty due to randomness or variability. The corollary is that a predictive capability cannot be defined solely as accuracy, or ability of predictions to match the available physical observations. We propose that 'predictability' is the demonstration that predictions from a class of 'equivalent' models are as consistent as possible. Equivalency stems from defining models that share a minimum requirement of accuracy, while being equally robust to the sources of lack-of-knowledge in the problem. Examples in computational physics and engineering are given to illustrate the discussion.

  17. Institutional Computing Executive Group Review of Multi-programmatic & Institutional Computing, Fiscal Year 2005 and 2006

    SciTech Connect (OSTI)

    Langer, S; Rotman, D; Schwegler, E; Folta, P; Gee, R; White, D

    2006-12-18

    The Institutional Computing Executive Group (ICEG) review of FY05-06 Multiprogrammatic and Institutional Computing (M and IC) activities is presented in the attached report. In summary, we find that the M and IC staff does an outstanding job of acquiring and supporting a wide range of institutional computing resources to meet the programmatic and scientific goals of LLNL. The responsiveness and high quality of support given to users and the programs investing in M and IC reflects the dedication and skill of the M and IC staff. M and IC has successfully managed serial capacity, parallel capacity, and capability computing resources. Serial capacity computing supports a wide range of scientific projects which require access to a few high performance processors within a shared memory computer. Parallel capacity computing supports scientific projects that require a moderate number of processors (up to roughly 1000) on a parallel computer. Capability computing supports parallel jobs that push the limits of simulation science. M and IC has worked closely with Stockpile Stewardship, and together they have made LLNL a premier institution for computational and simulation science. Such a standing is vital to the continued success of laboratory science programs and to the recruitment and retention of top scientists. This report provides recommendations to build on M and IC's accomplishments and improve simulation capabilities at LLNL. We recommend that institution fully fund (1) operation of the atlas cluster purchased in FY06 to support a few large projects; (2) operation of the thunder and zeus clusters to enable 'mid-range' parallel capacity simulations during normal operation and a limited number of large simulations during dedicated application time; (3) operation of the new yana cluster to support a wide range of serial capacity simulations; (4) improvements to the reliability and performance of the Lustre parallel file system; (5) support for the new GDO petabyte

  18. NERSC seeks Computational Systems Group Lead

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

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

  19. Daniel Udwary NERSC Data Science Engagement Group"

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

    Feb 8 Mendel+ Legacy Computes Feb 22? Mendel Outage @CRT @OSF Filesystems Scheduler Down6me for power work and networking maintenance ? SeqFS Key Differences Between CoriEdison ...

  20. 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 ...

  1. Validating DOE's Office of Science "capability" computing needs.

    SciTech Connect (OSTI)

    Mattern, Peter L.; Camp, William J.; Leland, Robert W.; Barsis, Edwin Howard

    2004-07-01

    A study was undertaken to validate the 'capability' computing needs of DOE's Office of Science. More than seventy members of the community provided information about algorithmic scaling laws, so that the impact of having access to Petascale capability computers could be assessed. We have concluded that the Office of Science community has described credible needs for Petascale capability computing.

  2. Enforcement Notice of Intent to Investigate, Computer Sciences Corporation

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

    | Department of Energy Computer Sciences Corporation Enforcement Notice of Intent to Investigate, Computer Sciences Corporation September 2015 The DOE Office of Enforcement issued a Notice of Intent to Investigate to Computer Sciences Corporation for potential worker safety and health noncompliances associated with an electronic medical record system that was being implemented at DOE's Hanford site. On September 21, 2015, the U.S. Department of Energy (DOE) Office of Enterprise Assessments'

  3. Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences

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

    Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences November 1, 2014 by Francesca Verdier Applications are now being acceted for the Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences and are due November 24. Apply at https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=80004. This fellowship provides recent graduates (within the past three years) opportunities to work on some of the most important

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

    National Nuclear Security Administration (NNSA)

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

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

    SciTech Connect (OSTI)

    Alchorn, A L

    2003-04-04

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

  6. Computing, Environment & Life Sciences Directorate Organization Chart |

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

    Argonne National Laboratory Events About Us Organization Chart Staff Directory Career Opportunities Intranet About Us Intranet Argonne National Laboratory Computing, Environment and Life Sciences Organizations Facilities and Institutes News Events About Us Organization Chart Staff Directory Career Opportunities Computing, Environment & Life Sciences Directorate Organization Chart PDF icon cels_org_chart.pdf

  7. NNSA/CEA Cooperation in Computer Science | National Nuclear Security

    National Nuclear Security Administration (NNSA)

    Administration | (NNSA) Computing NNSA/CEA Cooperation in Computer Science Introduction On March 13, 2002 Directors of the DOE/National Nuclear Security Administration (NNSA) and the Commissariat à L'Energie Atomique (CEA) signed an International Agreement to formalize and strengthen Cooperation in Computing Sciences. Since then technical staff members from NNSA National Laboratories [Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory (LANL) and Sandia National

  8. Large Scale Computing and Storage Requirements for Basic Energy Sciences:

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

    Target 2014 Large Scale Computing and Storage Requirements for Basic Energy Sciences: Target 2014 BESFrontcover.png Final Report Large Scale Computing and Storage Requirements for Basic Energy Sciences, Report of the Joint BES/ ASCR / NERSC Workshop conducted February 9-10, 2010 Workshop Agenda The agenda for this workshop is presented here: including presentation times and speaker information. Read More » Workshop Presentations Large Scale Computing and Storage Requirements for Basic

  9. Fermilab | Science | Particle Physics | Scientific Computing

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

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

  10. Science-Driven Computing: NERSC's Plan for 2006-2010

    SciTech Connect (OSTI)

    Simon, Horst D.; Kramer, William T.C.; Bailey, David H.; Banda,Michael J.; Bethel, E. Wes; Craw, James M.; Fortney, William J.; Hules,John A.; Meyer, Nancy L.; Meza, Juan C.; Ng, Esmond G.; Rippe, Lynn E.; Saphir, William C.; Verdier, Francesca; Walter, Howard A.; Yelick,Katherine A.

    2005-05-16

    NERSC has developed a five-year strategic plan focusing on three components: Science-Driven Systems, Science-Driven Services, and Science-Driven Analytics. (1) Science-Driven Systems: Balanced introduction of the best new technologies for complete computational systems--computing, storage, networking, visualization and analysis--coupled with the activities necessary to engage vendors in addressing the DOE computational science requirements in their future roadmaps. (2) Science-Driven Services: The entire range of support activities, from high-quality operations and user services to direct scientific support, that enable a broad range of scientists to effectively use NERSC systems in their research. NERSC will concentrate on resources needed to realize the promise of the new highly scalable architectures for scientific discovery in multidisciplinary computational science projects. (3) Science-Driven Analytics: The architectural and systems enhancements and services required to integrate NERSC's powerful computational and storage resources to provide scientists with new tools to effectively manipulate, visualize, and analyze the huge data sets derived from simulations and experiments.

  11. Data Intensive Computing and Climate Science -- a team sport | Argonne

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

    Leadership Computing Facility Data Intensive Computing and Climate Science -- a team sport Event Sponsor: Argonne Leadership Computing Facility Seminar Start Date: Aug 2 2016 - 2:00pm Building/Room: Building 240/Room 1404-1405 Location: Argonne National Laboratory Speaker(s): Anke Kamrath Speaker(s) Title: National Center for Atmospheric Research Host: Rick Stevens The presentation will cover the NCAR Climate Computing workflow and the challenges that are encountered across the simulation

  12. Large Scale Computing and Storage Requirements for Fusion Energy Sciences:

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

    Target 2014 High Energy Physics (HEP) Nuclear Physics (NP) Overview Published Reports Case Study FAQs NERSC HPC Achievement Awards Share Your Research User Submitted Research Citations NERSC Citations Home » Science at NERSC » HPC Requirements Reviews » Requirements Reviews: Target 2014 » Fusion Energy Sciences (FES) Large Scale Computing and Storage Requirements for Fusion Energy Sciences: Target 2014 FESFrontcover.png An FES / ASCR / NERSC Workshop August 3-4, 2010 Final Report Large

  13. 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

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

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

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

  15. Advances and Challenges in Computational Plasma Science

    SciTech Connect (OSTI)

    W.M. Tang; V.S. Chan

    2005-01-03

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

  16. Computational Science Research in Support of Petascale Electromagnetic Modeling

    SciTech Connect (OSTI)

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

    2008-06-20

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

  17. Hour of Code sparks interest in computer science

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

    STEM skills Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue: September 1, 2016 all issues All Issues » submit Hour of Code sparks interest in computer science Taking the mystery out of programming February 1, 2016 Hour of Code participants work their way through fun computer programming tutorials. Hour of Code participants work their way through fun computer programming tutorials. Contacts Community Programs Director Kathy Keith Email

  18. TORCH Computational Reference Kernels - A Testbed for Computer Science Research

    SciTech Connect (OSTI)

    Kaiser, Alex; Williams, Samuel Webb; Madduri, Kamesh; Ibrahim, Khaled; Bailey, David H.; Demmel, James W.; Strohmaier, Erich

    2010-12-02

    For decades, computer scientists have sought guidance on how to evolve architectures, languages, and programming models in order to improve application performance, efficiency, and productivity. Unfortunately, without overarching advice about future directions in these areas, individual guidance is inferred from the existing software/hardware ecosystem, and each discipline often conducts their research independently assuming all other technologies remain fixed. In today's rapidly evolving world of on-chip parallelism, isolated and iterative improvements to performance may miss superior solutions in the same way gradient descent optimization techniques may get stuck in local minima. To combat this, we present TORCH: A Testbed for Optimization ResearCH. These computational reference kernels define the core problems of interest in scientific computing without mandating a specific language, algorithm, programming model, or implementation. To compliment the kernel (problem) definitions, we provide a set of algorithmically-expressed verification tests that can be used to verify a hardware/software co-designed solution produces an acceptable answer. Finally, to provide some illumination as to how researchers have implemented solutions to these problems in the past, we provide a set of reference implementations in C and MATLAB.

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

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

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

  20. Multiscale Computation. Needs and Opportunities for BER Science

    SciTech Connect (OSTI)

    Scheibe, Timothy D.; Smith, Jeremy C.

    2015-01-01

    The Environmental Molecular Sciences Laboratory (EMSL), a scientific user facility managed by Pacific Northwest National Laboratory for the U.S. Department of Energy, Office of Biological and Environmental Research (BER), conducted a one-day workshop on August 26, 2014 on the topic of “Multiscale Computation: Needs and Opportunities for BER Science.” Twenty invited participants, from various computational disciplines within the BER program research areas, were charged with the following objectives; Identify BER-relevant models and their potential cross-scale linkages that could be exploited to better connect molecular-scale research to BER research at larger scales and; Identify critical science directions that will motivate EMSL decisions regarding future computational (hardware and software) architectures.

  1. Establishing a group of endpoints in a parallel computer

    DOE Patents [OSTI]

    Archer, Charles J.; Blocksome, Michael A.; Ratterman, Joseph D.; Smith, Brian E.; Xue, Hanhong

    2016-02-02

    A parallel computer executes a number of tasks, each task includes a number of endpoints and the endpoints are configured to support collective operations. In such a parallel computer, establishing a group of endpoints receiving a user specification of a set of endpoints included in a global collection of endpoints, where the user specification defines the set in accordance with a predefined virtual representation of the endpoints, the predefined virtual representation is a data structure setting forth an organization of tasks and endpoints included in the global collection of endpoints and the user specification defines the set of endpoints without a user specification of a particular endpoint; and defining a group of endpoints in dependence upon the predefined virtual representation of the endpoints and the user specification.

  2. Working Group Report: Computing for the Intensity Frontier

    SciTech Connect (OSTI)

    Rebel, B.; Sanchez, M.C.; Wolbers, S.

    2013-10-25

    This is the report of the Computing Frontier working group on Lattice Field Theory prepared for the proceedings of the 2013 Community Summer Study ("Snowmass"). We present the future computing needs and plans of the U.S. lattice gauge theory community and argue that continued support of the U.S. (and worldwide) lattice-QCD effort is essential to fully capitalize on the enormous investment in the high-energy physics experimental program. We first summarize the dramatic progress of numerical lattice-QCD simulations in the past decade, with some emphasis on calculations carried out under the auspices of the U.S. Lattice-QCD Collaboration, and describe a broad program of lattice-QCD calculations that will be relevant for future experiments at the intensity and energy frontiers. We then present details of the computational hardware and software resources needed to undertake these calculations.

  3. Climate-Science Computational End Station Development and Grand Challenge

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

    Team | Argonne Leadership Computing Facility Total precipitable water, a measure of how much moisture is in the air from a single moment in time in the global simulation of the atmosphere at a resolution of half a degree of latitude. (Figure provided by Mark Taylor, Sandia National Laboratories.) Figure provided by Mark Taylor, Sandia National Laboratories. Climate-Science Computational End Station Development and Grand Challenge Team PI Name: Warren Washington, Tom Bettge PI Email:

  4. Margaret Butler Fellowship in Computational Science | Argonne Leadership

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

    Computing Facility About Overview History Staff Directory Our Teams User Advisory Council Careers Margaret Butler Fellowship Application Instructions Sponsor Guidelines Fellowship FAQs Visiting Us Contact Us Butler Fellowship The 2016 Margaret Butler Fellowship call for applications has closed. Open to outstanding postdoctoral candidates, this computational science fellowship offers an opportunity to work at the forefront of HPC. The fellow will have the opportunity to collaborate with

  5. Supporting large-scale computational science

    SciTech Connect (OSTI)

    Musick, R., LLNL

    1998-02-19

    Business needs have driven the development of commercial database systems since their inception. As a result, there has been a strong focus on supporting many users, minimizing the potential corruption or loss of data, and maximizing performance metrics like transactions per second, or TPC-C and TPC-D results. It turns out that these optimizations have little to do with the needs of the scientific community, and in particular have little impact on improving the management and use of large-scale high-dimensional data. At the same time, there is an unanswered need in the scientific community for many of the benefits offered by a robust DBMS. For example, tying an ad-hoc query language such as SQL together with a visualization toolkit would be a powerful enhancement to current capabilities. Unfortunately, there has been little emphasis or discussion in the VLDB community on this mismatch over the last decade. The goal of the paper is to identify the specific issues that need to be resolved before large-scale scientific applications can make use of DBMS products. This topic is addressed in the context of an evaluation of commercial DBMS technology applied to the exploration of data generated by the Department of Energy`s Accelerated Strategic Computing Initiative (ASCI). The paper describes the data being generated for ASCI as well as current capabilities for interacting with and exploring this data. The attraction of applying standard DBMS technology to this domain is discussed, as well as the technical and business issues that currently make this an infeasible solution.

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

    SciTech Connect (OSTI)

    Rehr, John J.

    2012-08-02

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

  7. New DOE Office of Science support for CAMERA to develop computational...

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

    New DOE Office of Science support for CAMERA to develop computational mathematics for experimental facilities research New DOE Office of Science support for CAMERA to develop ...

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

    National Nuclear Security Administration (NNSA)

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

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

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

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

  10. High Performance Computing at TJNAF| U.S. DOE Office of Science...

    Office of Science (SC) Website

    Applications of Nuclear Science Archives High Performance Computing at TJNAF Print Text ... collaboration with other institutions, computer scientists and physicists are exploiting ...

  11. Core Research Activities and Studies of the Computer Science and Telecommunications Board

    SciTech Connect (OSTI)

    Eisenberg, Jon K.

    2015-02-11

    Lists activities of the Computer Science and Telecommunications Board and summarizes research results partly enabled by this award.

  12. Computer Science Research Institute 2005 annual report of activities.

    SciTech Connect (OSTI)

    Watts, Bernadette M.; Collis, Samuel Scott; Ceballos, Deanna Rose; Womble, David Eugene

    2008-04-01

    This report summarizes the activities of the Computer Science Research Institute (CSRI) at Sandia National Laboratories during the period January 1, 2005 to December 31, 2005. During this period, the CSRI hosted 182 visitors representing 83 universities, companies and laboratories. Of these, 60 were summer students or faculty. The CSRI partially sponsored 2 workshops and also organized and was the primary host for 3 workshops. These 3 CSRI sponsored workshops had 105 participants, 78 from universities, companies and laboratories, and 27 from Sandia. Finally, the CSRI sponsored 12 long-term collaborative research projects and 3 Sabbaticals.

  13. Computer Science Research Institute 2003 annual report of activities.

    SciTech Connect (OSTI)

    DeLap, Barbara J.; Womble, David Eugene; Ceballos, Deanna Rose

    2006-03-01

    This report summarizes the activities of the Computer Science Research Institute (CSRI) at Sandia National Laboratories during the period January 1, 2003 to December 31, 2003. During this period the CSRI hosted 164 visitors representing 78 universities, companies and laboratories. Of these 78 were summer students or faculty members. The CSRI partially sponsored 5 workshops and also organized and was the primary host for 3 workshops. These 3 CSRI sponsored workshops had 178 participants--137 from universities, companies and laboratories, and 41 from Sandia. Finally, the CSRI sponsored 18 long-term collaborative research projects and 5 Sabbaticals.

  14. Computer Science Research Institute 2004 annual report of activities.

    SciTech Connect (OSTI)

    DeLap, Barbara J.; Womble, David Eugene; Ceballos, Deanna Rose

    2006-03-01

    This report summarizes the activities of the Computer Science Research Institute (CSRI) at Sandia National Laboratories during the period January 1, 2004 to December 31, 2004. During this period the CSRI hosted 166 visitors representing 81 universities, companies and laboratories. Of these 65 were summer students or faculty. The CSRI partially sponsored 2 workshops and also organized and was the primary host for 4 workshops. These 4 CSRI sponsored workshops had 140 participants--74 from universities, companies and laboratories, and 66 from Sandia. Finally, the CSRI sponsored 14 long-term collaborative research projects and 5 Sabbaticals.

  15. 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 ...

  16. Science and Engineering Alliance, Inc. (SEA) Activities to Increase Participation of Students from Underrepresented Groups in Science, Technology, Engineering and Mathematics (STEM) Programs

    SciTech Connect (OSTI)

    Robert L. Shepard, PhD.

    2012-04-30

    To Increase Participation of Students from Underrepresented Groups in Science, Technology, Engineering and Mathematics (STEM) Programs.

  17. Arthur B. (Barney) Maccabe Computer Science Department Center for High Performance Computing

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

    Linux never has been and never will be "Extreme" Arthur B. (Barney) Maccabe Computer Science Department Center for High Performance Computing The University of New Mexico Salishan April 23, 2003 Salishan April 23, 2003 1 This talk was prepared on a Debain Linux box http://www.debian.org using OpenOffice http://www.openoffice.org Salishan April 23, 2003 1 Outline ● My background: lightweight operating systems ● Linux and world domination ● Adapting to innovative technologies ●

  18. Biological Sciences

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

    Science Energy Science Engineering Science Environmental Science Fusion Science Math & Computer Science Nuclear Science Share Your Research NERSC Citations Home Science at...

  19. Memorandum on the Office of Science Working Group to study M&O Contracts |

    Energy Savers [EERE]

    Department of Energy the Office of Science Working Group to study M&O Contracts Memorandum on the Office of Science Working Group to study M&O Contracts This memorandum from SEAB presents the recommendation from the Task Force on National Laboratories that the Office of Science establish a working group to study potential modifications to M&O contracts for the single purpose DOE laboratories, which the Office of Science oversees, and expresses the full SEAB's support of this

  20. Computational Materials Sciences Awards 2016 FOA | U.S. DOE Office of

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

    Science (SC) Closed Funding Opportunity Announcements (FOAs) » Computational Materials Sciences Awards 2016 FOA Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Closed Funding Opportunity Announcements (FOAs) Closed Lab Announcements Award Search / Public Abstracts Additional Requirements and Guidance for Digital Data Management Peer Review Policies EFRCs FOA Applications from Universities and Other Research Institutions

  1. Japanese technology assessment: Computer science, opto- and microelectronics mechatronics, biotechnology

    SciTech Connect (OSTI)

    Brandin, D.; Wieder, H.; Spicer, W.; Nevins, J.; Oxender, D.

    1986-01-01

    The series studies Japanese research and development in four high-technology areas - computer science, opto and microelectronics, mechatronics (a term created by the Japanese to describe the union of mechanical and electronic engineering to produce the next generation of machines, robots, and the like), and biotechnology. The evaluations were conducted by panels of U.S. scientists - chosen from academia, government, and industry - actively involved in research in areas of expertise. The studies were prepared for the purpose of aiding the U.S. response to Japan's technological challenge. The main focus of the assessments is on the current status and long-term direction and emphasis of Japanese research and development. Other aspects covered include evolution of the state of the art; identification of Japanese researchers, R and D organizations, and resources; and comparative U.S. efforts. The general time frame of the studies corresponds to future industrial applications and potential commercial impacts spanning approximately the next two decades.

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

    Broader source: Energy.gov [DOE]

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

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

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

    Opens State-of-the-Art Facility for Computational Science Berkeley Lab Opens State-of-the-Art Facility for Computational Science Wang Hall takes advantage of Lab's hillside location for advanced energy efficiency November 12, 2015 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 CRTpretty A new center for advancing computational science and networking at research institutions and universities across the country opened today at the Department of Energy's (DOE) Lawrence Berkeley National

  4. DOE Science Showcase - Quantum Computer Hardware | OSTI, US Dept...

    Office of Scientific and Technical Information (OSTI)

    Science Laboratory Curiosity rover, a mobile robot for investigating Mars' past or present ability to sustain microbial life. This artist concept features NASA's Mars Science ...

  5. Department of Energy: MICS (Mathematical Information, and Computational Sciences Division). High performance computing and communications program

    SciTech Connect (OSTI)

    1996-06-01

    This document is intended to serve two purposes. Its first purpose is that of a program status report of the considerable progress that the Department of Energy (DOE) has made since 1993, the time of the last such report (DOE/ER-0536, {open_quotes}The DOE Program in HPCC{close_quotes}), toward achieving the goals of the High Performance Computing and Communications (HPCC) Program. The second purpose is that of a summary report of the many research programs administered by the Mathematical, Information, and Computational Sciences (MICS) Division of the Office of Energy Research under the auspices of the HPCC Program and to provide, wherever relevant, easy access to pertinent information about MICS-Division activities via universal resource locators (URLs) on the World Wide Web (WWW). The information pointed to by the URL is updated frequently, and the interested reader is urged to access the WWW for the latest information.

  6. Department of Energy Mathematical, Information, and Computational Sciences Division: High Performance Computing and Communications Program

    SciTech Connect (OSTI)

    1996-11-01

    This document is intended to serve two purposes. Its first purpose is that of a program status report of the considerable progress that the Department of Energy (DOE) has made since 1993, the time of the last such report (DOE/ER-0536, The DOE Program in HPCC), toward achieving the goals of the High Performance Computing and Communications (HPCC) Program. The second purpose is that of a summary report of the many research programs administered by the Mathematical, Information, and Computational Sciences (MICS) Division of the Office of Energy Research under the auspices of the HPCC Program and to provide, wherever relevant, easy access to pertinent information about MICS-Division activities via universal resource locators (URLs) on the World Wide Web (WWW).

  7. Sandia Energy - New Project Is the ACME of Computer Science to...

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

    Project Is the ACME of Computer Science to Address Climate Change Home Climate Partnership News Global Climate & Energy News & Events Analysis Modeling Modeling & Analysis New...

  8. N-1: Safeguards Science and Technology Group, Tour Areas

    SciTech Connect (OSTI)

    Geist, William H.

    2012-05-09

    Group N-1 develops and provides training on nondestructive assay (NDA) technologies intended for nuclear material accounting and control to fulfill both international and domestic obligations. The N-1 group is located at Technical Area (TA)-35 in Buildings 2 and 27. Visitors to the area can observe developed and fielded NDA technologies, as well as the latest research efforts to develop the next generation of NDA technologies. Several areas are used for NDA training. The N-1 School House area typically is used for basic training on neutron- and gamma-ray-based NDA techniques. This area contains an assortment of gamma-ray detector systems, including sodium iodide and high-purity germanium and the associated measurement components. Many types of neutron assay systems are located here, including both standard coincidence and multiplicity counters. The N-1 School House area is also used for holdup training; located here are the mock holdup assemblies and associated holdup measurement tools. Other laboratory areas in the N-1 space are used for specialized training, such as waste NDA, calorimetry, and advanced gamma-ray NDA. Also, many research laboratories in the N-1 space are used to develop new NDA technologies. The calorimetry laboratory is used to develop and evaluate new technologies and techniques that measure the heat signature from nuclear material to determine mass. The micro calorimetry laboratory is being used to develop advanced technologies that can measure gamma rays with extremely high resolution. This technique has been proven in the laboratory setting, and the team is now working to cultivate a field-capable system. The N-1 group also develops remote and unattended systems for the tracking and control of nuclear material. A demonstration of this technology is located within one of the laboratory spaces. The source tracker software was developed by N-1 to monitor the locations and quantities of nuclear materials. This software is currently used to track

  9. SEAB Memorandum on the Office of Science Working Group to study...

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

    from SEAB presents the recommendation from the Task Force on National Laboratories that the Office of Science establish a working group to study potential modifications to M&O...

  10. Inferring Group Processes from Computer-Mediated Affective Text Analysis

    SciTech Connect (OSTI)

    Schryver, Jack C; Begoli, Edmon; Jose, Ajith; Griffin, Christopher

    2011-02-01

    Political communications in the form of unstructured text convey rich connotative meaning that can reveal underlying group social processes. Previous research has focused on sentiment analysis at the document level, but we extend this analysis to sub-document levels through a detailed analysis of affective relationships between entities extracted from a document. Instead of pure sentiment analysis, which is just positive or negative, we explore nuances of affective meaning in 22 affect categories. Our affect propagation algorithm automatically calculates and displays extracted affective relationships among entities in graphical form in our prototype (TEAMSTER), starting with seed lists of affect terms. Several useful metrics are defined to infer underlying group processes by aggregating affective relationships discovered in a text. Our approach has been validated with annotated documents from the MPQA corpus, achieving a performance gain of 74% over comparable random guessers.

  11. Richard Gerber! NERSC Senior Science Advisor! User Services Group Lead

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

    User Services Group Lead NUG Webinar January 2014 --- 1 --- January 9 , 2 014 Agenda * Edison C onfigura6on f or A Y 2 014 * Alloca6on Y ear R ollover I ssues * Project D irectories p er P roject * NUG 2 014 U ser G roup M ee6ng * Automa6c I /O P rofiling f or Y our C ode * Give / T ake U 6lity f or S haring F iles * NUG Q ueue C ommiRee U pdate * User Survey Needs Your Input * Open D iscussion --- 2 --- Edison Update --- 3 --- Jeff B roughton NERSC D eputy f or O pera6ons Systems D epartment H

  12. DOE Science Showcase - Computing Research | OSTI, US Dept of...

    Office of Scientific and Technical Information (OSTI)

    Computing Research For the growing number of problems where experiments are impossible, ... Computational Research in DOE Databases Energy Citations Database DOE Data Explorer ...

  13. New DOE Office of Science support for CAMERA to develop computational

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

    mathematics for experimental facilities research New DOE Office of Science support for CAMERA to develop computational mathematics for experimental facilities research New DOE Office of Science support for CAMERA to develop computational mathematics for experimental facilities research September 22, 2015 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov newcameralogofinal Experimental science is evolving. With the advent of new technology, scientific facilities are collecting data at

  14. Clouds, Computers, and the Coming Storms | U.S. DOE Office of Science (SC)

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

    Clouds, Computers, and the Coming Storms News News Home Featured Articles 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Headlines Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 12.15.15 Clouds, Computers, and the Coming Storms Scientists uncover secrets behind hurricanes, monsoons, and polar

  15. Richard Gerber! NERSC Senior Science Advisor! NERSC User Services Deputy Group Lead

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

    User Services Deputy Group Lead Science Highlights from NERSC's Dirac GPU Testbed --- 1 --- June 2 5, 2 013 Top Dirac Projects in 2013 --- 2 --- Science Area Project T itle PI Node Hours Used Percent of T otal Nuclear Physics Polarized P roton T racking for R HIC a nd A GS V. R anjbar, Brookhaven N at L ab 24,000 40% Material Sciences Molecular S imulaNons o f Conjugated P olymers f or Organic P hotovoltaics A. Jayaraman, U . Colorado, B oulder 18,000 30% Material Sciences Modeling N

  16. Computational and Theoretical Chemistry | U.S. DOE Office of Science (SC)

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

    Computational and Theoretical Chemistry Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Research Areas Energy Frontier Research Centers (EFRCs) DOE Energy Innovation Hubs Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Research Areas Computational and Theoretical Chemistry Print Text Size: A A A FeedbackShare Page Research in Computational and Theoretical Chemistry emphasizes integration and development of new and existing

  17. High Performance Computing at TJNAF| U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Performance Computing at TJNAF Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Applications of Nuclear Science Applications of Nuclear Science Archives Small Business Innovation Research / Small Business Technology Transfer Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources Contact Information Nuclear Physics U.S. Department of Energy SC-26/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301)

  18. Computational Materials Sciences Awards | U.S. DOE Office of...

    Office of Science (SC) Website

    Policies EFRCs FOA Applications from Universities and Other Research Institutions Construction Review EPSCoR DOE Office of Science Graduate Fellowship (DOE SCGF) External link ...

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

    SciTech Connect (OSTI)

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

    2004-04-02

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

  20. Working Group Presentations | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Working Group Presentations Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources NP Workforce Survey Results .pdf file (182KB) Links News Archives Databases Reports Workshops Nuclear Physics Related Brochures and Videos Contact Information Nuclear Physics U.S. Department of Energy SC-26/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3613 F:

  1. Scaling Your Science on Mira | Argonne Leadership Computing Facility

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

    Scaling Your Science on Mira Scaling Your Science In this intensive 3-day scaling lab, ALCF and industry professionals will share the latest techniques and tools to help you scale your code to the next level. Work along side these experts to enhance your code's scalability over 12 full hours of dedicated hands-on time. Test and debug as you go with exclusive full-system reservations for this premier scaling event. Scaling Your Science on Mira is intended for experienced HPC users with near-term

  2. FY13 Computer Science FAQ | U.S. DOE Office of Science (SC)

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

    ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding ... Print Text Size: A A A FeedbackShare Page http:science.doe.govgrantspdfLAB13-02.pdf Q: How do ...

  3. Mira Early Science Program | Argonne Leadership Computing Facility

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

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

  4. Bill Carlson IDA Center for Computing Sciences Making High Performance

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

    ... Integration Establish correlation between database tables and data structures in memory. ... ctime(t->b)); t++; High Performance computing is in trouble Not because of performance ...

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

    SciTech Connect (OSTI)

    Gerber, Richard

    2014-05-02

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

  6. Providing nearest neighbor point-to-point communications among compute nodes of an operational group in a global combining network of a parallel computer

    DOE Patents [OSTI]

    Archer, Charles J.; Faraj, Ahmad A.; Inglett, Todd A.; Ratterman, Joseph D.

    2012-10-23

    Methods, apparatus, and products are disclosed for providing nearest neighbor point-to-point communications among compute nodes of an operational group in a global combining network of a parallel computer, each compute node connected to each adjacent compute node in the global combining network through a link, that include: identifying each link in the global combining network for each compute node of the operational group; designating one of a plurality of point-to-point class routing identifiers for each link such that no compute node in the operational group is connected to two adjacent compute nodes in the operational group with links designated for the same class routing identifiers; and configuring each compute node of the operational group for point-to-point communications with each adjacent compute node in the global combining network through the link between that compute node and that adjacent compute node using that link's designated class routing identifier.

  7. Physics, Computer Science and Mathematics Division. Annual report, 1 January-31 December 1979

    SciTech Connect (OSTI)

    Lepore, J.V.

    1980-09-01

    This annual report describes the research work carried out by the Physics, Computer Science and Mathematics Division during 1979. The major research effort of the Division remained High Energy Particle Physics with emphasis on preparing for experiments to be carried out at PEP. The largest effort in this field was for development and construction of the Time Projection Chamber, a powerful new particle detector. This work took a large fraction of the effort of the physics staff of the Division together with the equivalent of more than a hundred staff members in the Engineering Departments and shops. Research in the Computer Science and Mathematics Department of the Division (CSAM) has been rapidly expanding during the last few years. Cross fertilization of ideas and talents resulting from the diversity of effort in the Physics, Computer Science and Mathematics Division contributed to the software design for the Time Projection Chamber, made by the Computer Science and Applied Mathematics Department.

  8. Physics, Computer Science and Mathematics Division. Annual report, January 1-December 31, 1980

    SciTech Connect (OSTI)

    Birge, R.W.

    1981-12-01

    Research in the physics, computer science, and mathematics division is described for the year 1980. While the division's major effort remains in high energy particle physics, there is a continually growing program in computer science and applied mathematics. Experimental programs are reported in e/sup +/e/sup -/ annihilation, muon and neutrino reactions at FNAL, search for effects of a right-handed gauge boson, limits on neutrino oscillations from muon-decay neutrinos, strong interaction experiments at FNAL, strong interaction experiments at BNL, particle data center, Barrelet moment analysis of ..pi..N scattering data, astrophysics and astronomy, earth sciences, and instrument development and engineering for high energy physics. In theoretical physics research, studies included particle physics and accelerator physics. Computer science and mathematics research included analytical and numerical methods, information analysis techniques, advanced computer concepts, and environmental and epidemiological studies. (GHT)

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

    Office of Scientific and Technical Information (OSTI)

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

  10. 2007 Long Range Plan Working Group Members | U.S. DOE Office of Science

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

    (SC) 7 Long Range Plan Working Group Members Nuclear Science Advisory Committee (NSAC) NSAC Home Meetings NSAC Members Charges/Reports Charter .pdf file (78KB) NP Committees of Visitors Federal Advisory Committees NP Home NSAC Members 2007 Long Range Plan Working Group Members Print Text Size: A A A FeedbackShare Page Beise, Elizabeth University of Maryland Merninga, Lia TJNAF Bryman, Douglas TRIUMF Meyer, Curtis Carnegie Mellon University Burrows, Adam University of Arizona Meziani,

  11. Future Computing Platforms for Science in a Power Constrained Era

    SciTech Connect (OSTI)

    Abdurachmanov, David; Elmer, Peter; Eulisse, Giulio; Knight, Robert

    2015-12-23

    Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-watt a crucial metric for selecting cost-efficient computing solutions. For this paper, we have done a wide survey of current and emerging architectures becoming available on the market including x86-64 variants, ARMv7 32-bit, ARMv8 64-bit, Many-Core and GPU solutions, as well as newer System-on-Chip (SoC) solutions. We compare performance and energy efficiency using an evolving set of standardized HEP-related benchmarks and power measurement techniques we have been developing. We evaluate the potential for use of such computing solutions in the context of DHTC systems, such as the Worldwide LHC Computing Grid (WLCG).

  12. Future computing platforms for science in a power constrained era

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

    Abdurachmanov, David; Elmer, Peter; Eulisse, Giulio; Knight, Robert

    2015-01-01

    Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-watt a crucial metric for selecting cost-efficient computing solutions. For this paper, we have done a wide survey of current and emerging architectures becoming available on the market including x86-64 variants, ARMv7 32-bit, ARMv8 64-bit, Many-Core and GPU solutions, as well as newer System-on-Chip (SoC) solutions. We compare performance and energy efficiency using an evolving set of standardized HEP-related benchmarks and power measurement techniques we have been developing. In conclusion, we evaluate the potentialmore » for use of such computing solutions in the context of DHTC systems, such as the Worldwide LHC Computing Grid (WLCG).« less

  13. Computing | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Print Text Size: A A A FeedbackShare Page Computing: the World Wide Web CERN scientist Tim Berners-Lee developed the World Wide Web to give particle physicists a tool to ...

  14. Computing, Environment and Life Sciences | Argonne National Laboratory

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

    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

  15. Physics, Computer Science and Mathematics Division annual report, 1 January-31 December 1983

    SciTech Connect (OSTI)

    Jackson, J.D.

    1984-08-01

    This report summarizes the research performed in the Physics, Computer Science and Mathematics Division of the Lawrence Berkeley Laboratory during calendar year 1983. The major activity of the Division is research in high-energy physics, both experimental and theoretical, and research and development in associated technologies. A smaller, but still significant, program is in computer science and applied mathematics. During 1983 there were approximately 160 people in the Division active in or supporting high-energy physics research, including about 40 graduate students. In computer science and mathematics, the total staff, including students and faculty, was roughly 50. Because of the creation in late 1983 of a Computing Division at LBL and the transfer of the Computer Science activities to the new Division, this annual report is the last from the Physics, Computer Science and Mathematics Division. In December 1983 the Division reverted to its historic name, the Physics Division. Its future annual reports will document high energy physics activities and also those of its Mathematics Department.

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

    SciTech Connect (OSTI)

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

    2009-07-02

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

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

    SciTech Connect (OSTI)

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

    1994-02-01

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

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

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

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

  19. Chapter 9: Enabling Capabilities for Science and Energy | High-Performance Computing Capabilities and Allocations Supplemental Information

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

    Capabilities and Allocations User Facility Statistics Examples and Case Studies ENERGY U.S. DEPARTMENT OF Quadrennial Technology Review 2015 1 Quadrennial Technology Review 2015 High Performance Computing Capabilities and Resource Allocations Chapter 9: Enabling Capabilities for Science and Energy High Performance Computing Capabilities The Department of Energy (DOE) laboratories integrate high performance computing (HPC) capabilities into their energy, science, and national security missions.

  20. NERSC User's Group Meeting 2.4.14 Computational Facilities: NERSC

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

    User's Group Meeting 2.4.14 Computational Facilities: NERSC Collaborators: Martin Karplus, Eric Vanden-Eijnden, Kwangho Nam, Anne Houdusse, Robert Sauer Financial support: NIH Conformational change in biology: from amino acids to enzymes and molecular motors. Victor Ovchinnikov NERSC User's Group Meeting 2.4.14 2 Introduction  Conformational motions in biomolecules define all living things - Transport across membranes - Enzyme reactions (from proton transfer to DNA replication and repair) -

  1. DOE/SC-ARM-TR-142 ARM Aerosol Measurement Science Group Charter

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

    2 ARM Aerosol Measurement Science Group Charter January 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

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

    SciTech Connect (OSTI)

    Gerber, Richard; Wasserman, Harvey

    2011-03-31

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

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

    SciTech Connect (OSTI)

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

    1988-08-01

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

  4. Providing full point-to-point communications among compute nodes of an operational group in a global combining network of a parallel computer

    DOE Patents [OSTI]

    Archer, Charles J; Faraj, Ahmad A; Inglett, Todd A; Ratterman, Joseph D

    2013-04-16

    Methods, apparatus, and products are disclosed for providing full point-to-point communications among compute nodes of an operational group in a global combining network of a parallel computer, each compute node connected to each adjacent compute node in the global combining network through a link, that include: receiving a network packet in a compute node, the network packet specifying a destination compute node; selecting, in dependence upon the destination compute node, at least one of the links for the compute node along which to forward the network packet toward the destination compute node; and forwarding the network packet along the selected link to the adjacent compute node connected to the compute node through the selected link.

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

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.

    2009-10-01

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

  6. Richard Gerber! NERSC Senior Science Advisor! Acting User Services Group Lead

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

    Acting User Services Group Lead Communicating with our Communities --- 1 --- June 1 2, 2 014 Who are our communities? DOE s takeholders Federal, s tate, & l ocal p olicy makers NERSC u sers NERSC s taff ScienCsts / LBNL ScienCfically interested and aware public General p ublic --- 2 --- Communication Methods * Personal c ontact w ith D OE m anagers * At e vents, i nvite: - DOE m anagers - Policy m akers a nd c ommunity l eaders - Science c ommunity - General p ublic w here a ppropriate -

  7. Configuring compute nodes of a parallel computer in an operational group into a plurality of independent non-overlapping collective networks

    DOE Patents [OSTI]

    Archer, Charles J.; Inglett, Todd A.; Ratterman, Joseph D.; Smith, Brian E.

    2010-03-02

    Methods, apparatus, and products are disclosed for configuring compute nodes of a parallel computer in an operational group into a plurality of independent non-overlapping collective networks, the compute nodes in the operational group connected together for data communications through a global combining network, that include: partitioning the compute nodes in the operational group into a plurality of non-overlapping subgroups; designating one compute node from each of the non-overlapping subgroups as a master node; and assigning, to the compute nodes in each of the non-overlapping subgroups, class routing instructions that organize the compute nodes in that non-overlapping subgroup as a collective network such that the master node is a physical root.

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

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

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

  9. Probing the structure of complex solids using a distributed computing approach-Applications in zeolite science

    SciTech Connect (OSTI)

    French, Samuel A.; Coates, Rosie; Lewis, Dewi W.; Catlow, C. Richard A.

    2011-06-15

    We demonstrate the viability of distributed computing techniques employing idle desktop computers in investigating complex structural problems in solids. Through the use of a combined Monte Carlo and energy minimisation method, we show how a large parameter space can be effectively scanned. By controlling the generation and running of different configurations through a database engine, we are able to not only analyse the data 'on the fly' but also direct the running of jobs and the algorithms for generating further structures. As an exemplar case, we probe the distribution of Al and extra-framework cations in the structure of the zeolite Mordenite. We compare our computed unit cells with experiment and find that whilst there is excellent correlation between computed and experimentally derived unit cell volumes, cation positioning and short-range Al ordering (i.e. near neighbour environment), there remains some discrepancy in the distribution of Al throughout the framework. We also show that stability-structure correlations only become apparent once a sufficiently large sample is used. - Graphical Abstract: Aluminium distributions in zeolites are determined using e-science methods. Highlights: > Use of e-science methods to search configurationally space. > Automated control of space searching. > Identify key structural features conveying stability. > Improved correlation of computed structures with experimental data.

  10. Physics, computer science and mathematics division. Annual report, 1 January - 31 December 1982

    SciTech Connect (OSTI)

    Jackson, J.D.

    1983-08-01

    Experimental physics research activities are described under the following headings: research on e/sup +/e/sup -/ annihilation; research at Fermilab; search for effects of a right-handed gauge boson; the particle data center; high energy astrophysics and interdisciplinary experiments; detector and other research and development; publications and reports of other research; computation and communication; and engineering, evaluation, and support operations. Theoretical particle physics research and heavy ion fusion research are described. Also, activities of the Computer Science and Mathematics Department are summarized. Publications are listed. (WHK)

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

    SciTech Connect (OSTI)

    Saffer, Shelley I.

    2014-12-01

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

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

    SciTech Connect (OSTI)

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

    2011-11-14

    The design and performance optimization of particle accelerators are essential for the success of the DOE scientific program in the next decade. Particle accelerators are very complex systems whose accurate description involves a large number of degrees of freedom and requires the inclusion of many physics processes. Building on the success of the SciDAC-1 Accelerator Science and Technology project, the SciDAC-2 Community Petascale Project for Accelerator Science and Simulation (ComPASS) is developing a comprehensive set of interoperable components for beam dynamics, electromagnetics, electron cooling, and laser/plasma acceleration modelling. ComPASS is providing accelerator scientists the tools required to enable the necessary accelerator simulation paradigm shift from high-fidelity single physics process modeling (covered under SciDAC1) to high-fidelity multiphysics modeling. Our computational frameworks have been used to model the behavior of a large number of accelerators and accelerator R&D experiments, assisting both their design and performance optimization. As parallel computational applications, the ComPASS codes have been shown to make effective use of thousands of processors. ComPASS is in the first year of executing its plan to develop the next-generation HPC accelerator modeling tools. ComPASS aims to develop an integrated simulation environment that will utilize existing and new accelerator physics modules with petascale capabilities, by employing modern computing and solver technologies. The ComPASS vision is to deliver to accelerator scientists a virtual accelerator and virtual prototyping modeling environment, with the necessary multiphysics, multiscale capabilities. The plan for this development includes delivering accelerator modeling applications appropriate for each stage of the ComPASS software evolution. Such applications are already being used to address challenging problems in accelerator design and optimization. The ComPASS organization

  13. Science

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

    science Science Stockpile Stewardship National Security National Competitiveness Fusion and Ignition Energy for the Future How to Make a Star Discovery Science Photon Science HAPLS

  14. 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

  15. Acidity of the amidoxime functional group in aqueous solution. A combined experimental and computational study

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

    Mehio, Nada; Lashely, Mark A.; Nugent, Joseph W.; Tucker, Lyndsay; Correia, Bruna; Do-Thanh, Chi-Linh; Dai, Sheng; Hancock, Robert D.; Bryantsev, Vyacheslav S.

    2015-01-01

    Poly(acrylamidoxime) adsorbents are often invoked in discussions of mining uranium from seawater. It has been demonstrated repeatedly in the literature that the success of these materials is due to the amidoxime functional group. While the amidoxime-uranyl chelation mode has been established, a number of essential binding constants remain unclear. This is largely due to the wide range of conflicting pKa values that have been reported for the amidoxime functional group in the literature. To resolve this existing controversy we investigated the pKa values of the amidoxime functional group using a combination of experimental and computational methods. Experimentally, we used spectroscopicmore » titrations to measure the pKa values of representative amidoximes, acetamidoxime and benzamidoxime. Computationally, we report on the performance of several protocols for predicting the pKa values of aqueous oxoacids. Calculations carried out at the MP2 or M06-2X levels of theory combined with solvent effects calculated using the SMD model provide the best overall performance with a mean absolute error of 0.33 pKa units and 0.35 pKa units, respectively, and a root mean square deviation of 0.46 pKa units and 0.45 pKa units, respectively. Finally, we employ our two best methods to predict the pKa values of promising, uncharacterized amidoxime ligands. Hence, our study provides a convenient means for screening suitable amidoxime monomers for future generations of poly(acrylamidoxime) adsorbents used to mine uranium from seawater.« less

  16. Acidity of the amidoxime functional group in aqueous solution. A combined experimental and computational study

    SciTech Connect (OSTI)

    Mehio, Nada; Lashely, Mark A.; Nugent, Joseph W.; Tucker, Lyndsay; Correia, Bruna; Do-Thanh, Chi-Linh; Dai, Sheng; Hancock, Robert D.; Bryantsev, Vyacheslav S.

    2015-01-26

    Poly(acrylamidoxime) adsorbents are often invoked in discussions of mining uranium from seawater. It has been demonstrated repeatedly in the literature that the success of these materials is due to the amidoxime functional group. While the amidoxime-uranyl chelation mode has been established, a number of essential binding constants remain unclear. This is largely due to the wide range of conflicting pKa values that have been reported for the amidoxime functional group in the literature. To resolve this existing controversy we investigated the pKa values of the amidoxime functional group using a combination of experimental and computational methods. Experimentally, we used spectroscopic titrations to measure the pKa values of representative amidoximes, acetamidoxime and benzamidoxime. Computationally, we report on the performance of several protocols for predicting the pKa values of aqueous oxoacids. Calculations carried out at the MP2 or M06-2X levels of theory combined with solvent effects calculated using the SMD model provide the best overall performance with a mean absolute error of 0.33 pKa units and 0.35 pKa units, respectively, and a root mean square deviation of 0.46 pKa units and 0.45 pKa units, respectively. Finally, we employ our two best methods to predict the pKa values of promising, uncharacterized amidoxime ligands. Hence, our study provides a convenient means for screening suitable amidoxime monomers for future generations of poly(acrylamidoxime) adsorbents used to mine uranium from seawater.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  18. Science Gateways

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

    About Science Gateways A science gateway is a web-based interface to access HPC computers ... perform shared computations, and generally interact with NERSC resources over the web. ...

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

    SciTech Connect (OSTI)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-07-28

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

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

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

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

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

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

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

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-07-28

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

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

    SciTech Connect (OSTI)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

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

  3. Assigning unique identification numbers to new user accounts and groups in a computing environment with multiple registries

    DOE Patents [OSTI]

    DeRobertis, Christopher V.; Lu, Yantian T.

    2010-02-23

    A method, system, and program storage device for creating a new user account or user group with a unique identification number in a computing environment having multiple user registries is provided. In response to receiving a command to create a new user account or user group, an operating system of a clustered computing environment automatically checks multiple registries configured for the operating system to determine whether a candidate identification number for the new user account or user group has been assigned already to one or more existing user accounts or groups, respectively. The operating system automatically assigns the candidate identification number to the new user account or user group created in a target user registry if the checking indicates that the candidate identification number has not been assigned already to any of the existing user accounts or user groups, respectively.

  4. Climate & Earth Science

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

    Human-Induced Climate Change Reduces Chance of Flooding in Okavango Delta Energy Science Engineering Science Environmental Science Fusion Science Math & Computer Science Nuclear...

  5. Science Cloud 2011

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

    Science Cloud 2011 Science Cloud 2011 June 17, 2011 The Magellan teams at NERSC and Argonne recently presented a joint paper detailing their progress and conclusions. At Science Cloud 2011: The Second Workshop on Scientific Cloud Computing, in a paper titled "Magellan: Experiences from a Science Cloud" (PDF, 320KB), lead author Lavanya Ramakrishnan outlined the groups' most recent achievements and conclusions, including a successful run of real-time data analysis for the STAR

  6. Support for the Core Research Activities and Studies of the Computer Science and Telecommunications Board (CSTB)

    SciTech Connect (OSTI)

    Jon Eisenberg, Director, CSTB

    2008-05-13

    The Computer Science and Telecommunications Board of the National Research Council considers technical and policy issues pertaining to computer science (CS), telecommunications, and information technology (IT). The functions of the board include: (1) monitoring and promoting the health of the CS, IT, and telecommunications fields, including attention as appropriate to issues of human resources and funding levels and program structures for research; (2) initiating studies involving CS, IT, and telecommunications as critical resources and sources of national economic strength; (3) responding to requests from the government, non-profit organizations, and private industry for expert advice on CS, IT, and telecommunications issues; and to requests from the government for expert advice on computer and telecommunications systems planning, utilization, and modernization; (4) fostering interaction among CS, IT, and telecommunications researchers and practitioners, and with other disciplines; and providing a base of expertise in the National Research Council in the areas of CS, IT, and telecommunications. This award has supported the overall operation of CSTB. Reports resulting from the Board's efforts have been widely disseminated in both electronic and print form, and all CSTB reports are available at its World Wide Web home page at cstb.org. The following reports, resulting from projects that were separately funded by a wide array of sponsors, were completed and released during the award period: 2007: * Summary of a Workshop on Software-Intensive Systems and Uncertainty at Scale * Social Security Administration Electronic Service Provision: A Strategic Assessment * Toward a Safer and More Secure Cyberspace * Software for Dependable Systems: Sufficient Evidence? * Engaging Privacy and Information Technology in a Digital Age * Improving Disaster Management: The Role of IT in Mitigation, Preparedness, Response, and Recovery 2006: * Renewing U.S. Telecommunications Research

  7. 16th Department of Energy Computer Security Group Training Conference: Proceedings

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    Various topic on computer security are presented. Integrity standards, smartcard systems, network firewalls, encryption systems, cryptography, computer security programs, multilevel security guards, electronic mail privacy, the central intelligence agency, internet security, and high-speed ATM networking are typical examples of discussed topics. Individual papers are indexed separately.

  8. Science

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

    Science Science Cutting edge, multidisciplinary national-security science. News Releases Science Briefs Photos Picture of the Week Publications Social Media Videos Fact Sheets The thermal traits of a leaf, critical for photosynthesis, may be under strong evolutionary selection that occurs in response to environmental temperatures. Here a thermal leaf image details temperature variation, which greatly affects plant functions since temperature is closely linked to metabolic kinetics-the plant's

  9. Science

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

    Science Science & Technology Images of Lab scientists and researchers at work. News Releases Science Briefs Photos Picture of the Week Publications Social Media Videos Fact Sheets PHOTOS BY TOPIC Careers Community Visitors Environment History Science The Lab Click thumbnails to enlarge. Photos arranged by most recent first, horizontal formats before vertical. See Flickr for more sizes and details. Astronomical simulation in the CAVE - 1 Astronomical simulation in the CAVE - 1 Scientist sees

  10. 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 ...

  11. 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, ...

  12. Science

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

    Office of Science Office of Science β β * * * Office of Science α γ Office of * * * * * Office of Science Office of Science * α * * Office of Science α * * μ * * α 287 115 10.59 32 ms 283 113 10.12 100 ms 279 111 10.38 0.17 s 271 107 9.35 1.2 s 267 105 SF 1.8 h 275 109 10.35 12 ms 289 115 10.31 520 ms 285 113 9.74/9.48 4.5 s 281 111 SF 1 s 287 115 10.59 32 ms 283 113 10.12 100 ms 279 111 10.38 0.17 s 07 5 s 275 109 10.35 12 ms 285 1 9.74/ 4.5 281 111 SF 1 s 288 115 10.48 171 ms 284 113

  13. 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...

  14. science

    National Nuclear Security Administration (NNSA)

    through the Predictive Capability Framework (PCF). The PCF is a long-term integrated roadmap to guide the science, technology and engineering activities and Directed Stockpile...

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

    Office of Scientific and Technical Information (OSTI)

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

  16. Programs for attracting under-represented minority students to graduate school and research careers in computational science. Final report for period October 1, 1995 - September 30, 1997

    SciTech Connect (OSTI)

    Turner, James C. Jr.; Mason, Thomas; Guerrieri, Bruno

    1997-10-01

    Programs have been established at Florida A & M University to attract minority students to research careers in mathematics and computational science. The primary goal of the program was to increase the number of such students studying computational science via an interactive multimedia learning environment One mechanism used for meeting this goal was the development of educational modules. This academic year program established within the mathematics department at Florida A&M University, introduced students to computational science projects using high-performance computers. Additional activities were conducted during the summer, these included workshops, meetings, and lectures. Through the exposure provided by this program to scientific ideas and research in computational science, it is likely that their successful applications of tools from this interdisciplinary field will be high.

  17. Venkatram Vishwanath | Argonne Leadership Computing Facility

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

    Venkatram Vishwanath Computer Scientist, Data Science Group Lead Venkatram Vishwanath Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 4141 Argonne, IL 60439 630-252-4971 venkat@anl.gov Venkatram Vishwanath is a computer scientist at Argonne National Laboratory. He is the Data Science group lead at the Argonne leadership computing facility (ALCF). His current focus is on algorithms, system software, and workflows to facilitate data-centric applications on supercomputing

  18. DOE Science Showcase - High-Performance Computing | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information High-Performance Computing Supercomputers or massively parallel high-performance computers (HPCs) are machines that employ very large numbers of processors in parallel to address scientific and engineering challenges. HPCs carry out trillions or even quadrillions of calculations each second - current high-performance computers are powerful enough to simulate some of the most complex physical, biological, and chemical phenomena. High-performance

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

    SciTech Connect (OSTI)

    Dimitrios S. Nikolopoulos

    2008-08-10

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

  20. Statistical Sciences

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

    6 Statistical Sciences Applying statistical reasoning and rigor to multidisciplinary scientific investigations Contact Us Group Leader James Gattiker (Acting) Email Deputy Group Leader Geralyn Hemphill (Acting) Email Group Administrator LeeAnn Martinez (505) 667-3308 Email Statistical Sciences Statistical Sciences provides statistical reasoning and rigor to multidisciplinary scientific investigations and development, application, and communication of cutting-edge statistical sciences research.

  1. 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

  2. computers

    National Nuclear Security Administration (NNSA)

    California.

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

  3. Introducing Enabling Computational Tools to the Climate Sciences: Multi-Resolution Climate Modeling with Adaptive Cubed-Sphere Grids

    SciTech Connect (OSTI)

    Jablonowski, Christiane

    2015-07-14

    The research investigates and advances strategies how to bridge the scale discrepancies between local, regional and global phenomena in climate models without the prohibitive computational costs of global cloud-resolving simulations. In particular, the research explores new frontiers in computational geoscience by introducing high-order Adaptive Mesh Refinement (AMR) techniques into climate research. AMR and statically-adapted variable-resolution approaches represent an emerging trend for atmospheric models and are likely to become the new norm in future-generation weather and climate models. The research advances the understanding of multi-scale interactions in the climate system and showcases a pathway how to model these interactions effectively with advanced computational tools, like the Chombo AMR library developed at the Lawrence Berkeley National Laboratory. The research is interdisciplinary and combines applied mathematics, scientific computing and the atmospheric sciences. In this research project, a hierarchy of high-order atmospheric models on cubed-sphere computational grids have been developed that serve as an algorithmic prototype for the finite-volume solution-adaptive Chombo-AMR approach. The foci of the investigations have lied on the characteristics of both static mesh adaptations and dynamically-adaptive grids that can capture flow fields of interest like tropical cyclones. Six research themes have been chosen. These are (1) the introduction of adaptive mesh refinement techniques into the climate sciences, (2) advanced algorithms for nonhydrostatic atmospheric dynamical cores, (3) an assessment of the interplay between resolved-scale dynamical motions and subgrid-scale physical parameterizations, (4) evaluation techniques for atmospheric model hierarchies, (5) the comparison of AMR refinement strategies and (6) tropical cyclone studies with a focus on multi-scale interactions and variable-resolution modeling. The results of this research project

  4. Combinatorial Algorithms to Enable Computational Science and Engineering: The CSCAPES Institute

    SciTech Connect (OSTI)

    Pothen, Alex

    2015-01-16

    This final progress report summarizes the work accomplished at the Combinatorial Scientific Computing and Petascale Simulations Institute. We developed Zoltan, a parallel mesh partitioning library that made use of accurate hyeprgraph models to provide load balancing in mesh-based computations. We developed several graph coloring algorithms for computing Jacobian and Hessian matrices and organized them into a software package called ColPack. We developed parallel algorithms for graph coloring and graph matching problems, and also designed multi-scale graph algorithms. Three PhD students graduated, six more are continuing their PhD studies, and four postdoctoral scholars were advised. Six of these students and Fellows have joined DOE Labs (Sandia, Berkeley, as staff scientists or as postdoctoral scientists. We also organized the SIAM Workshop on Combinatorial Scientific Computing (CSC) in 2007, 2009, and 2011 to continue to foster the CSC community.

  5. Computational Materials Sciences Awards 2016 FOA | U.S. DOE Office...

    Office of Science (SC) Website

    computers to model and simulate the behavior of matter at the atomic and molecular scales. ... Functional Materials and Ultra-Fast X-Ray Laser Experiments Team: Priya Vashishta ...

  6. Computer-Based Energy Projects: Science Projects in Renewable Energy and Energy Efficiency

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

    Computer-Based Energy Projects (Four Activities) Grades: 5-8, 9-12 Topic: Energy Basics Owner: National Renewable Energy Laboratory This educational material is brought to you by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy. This lesson plan may contain links to other resources, including suggestions as to where to purchase materials. These links, product descriptions, and prices may change over time. Computer-Based Energy Projects For the Teacher Although

  7. Welcome - Modeling and Simulation Group

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

    CCS Directorate ORNL Modeling and Simulation Group Computational Sciences & Engineering Division Home Organization Chart Staff Research Areas Major Projects Fact Sheets Publications M&S News Awards Contacts Intership Programs ORNL has lots of opportunities for students to conduct research in scientific fields. Check out our Fellowship and Intership programs Fellowships Interships RAMS Program Modeling and Simulation Group The ORNL Modeling and Simulation Group (MSG) develops

  8. Science

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

    Wikipedia to forecast diseases November 13, 2014 Los Alamos research published in Public Library of Science LOS ALAMOS, N.M., Nov. 13, 2014-Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles, according to a team from Los Alamos National Laboratory. "A global disease-forecasting system will improve the way we respond to epidemics," scientist Sara Del Valle said. "In the same way we check the weather each

  9. NREL: Energy Sciences - Chemical and Materials Science

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

    in the U.S. Department of Energy (DOE) National Photovoltaic Program and DOE Basic Energy Sciences Program. Materials Science. The Materials Science Group's research...

  10. Climate-Science Computational Development Team: The Climate End Station II

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

    | Argonne Leadership Computing Facility Model Model: Community Atmosphere Model (CAM5) with spectral element (SE) dynamics at 1/8th degree resolution. Physics options include full prognostic aerosols. Fixed annual cycle sea surface temperatures and sea ice extent, interactive land surface (CLM). Run within CESM1.0 coupled system. INCITE PI: Warren Washington, National Center for Atmospheric Research Setup and Integration: Mark Taylor, Sandia National Laboratory Visualization: Joseph A.

  11. Climate-Science Computational Development Team: The Climate End Station II

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

    | Argonne Leadership Computing Facility Model (CAM5) Model: Community Atmosphere Model (CAM5) with spectral element (SE) dynamics at 1/8th degree resolution. Physics options include full prognostic aerosols. Fixed annual cycle sea surface temperatures and sea ice extent, interactive land surface (CLM). Run within CESM1.0 coupled system. INCITE PI: Warren Washington, National Center for Atmospheric Research Setup and Integration: Mark Taylor, Sandia National Laboratory Visualization: Joseph

  12. Havery Mudd 2014-2015 Computer Science Conduit Clinic Final Report

    SciTech Connect (OSTI)

    Aspesi, G; Bai, J; Deese, R; Shin, L

    2015-05-12

    Conduit, a new open-source library developed at Lawrence Livermore National Laboratories, provides a C++ application programming interface (API) to describe and access scientific data. Conduit’s primary use is for inmemory data exchange in high performance computing (HPC) applications. Our team tested and improved Conduit to make it more appealing to potential adopters in the HPC community. We extended Conduit’s capabilities by prototyping four libraries: one for parallel communication using MPI, one for I/O functionality, one for aggregating performance data, and one for data visualization.

  13. 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

  14. Report from the Committee of Visitors on its Review of the Processes and Procedures used to Manage the Theory and Computations Program, Fusion Energy Sciences Advisory Committee

    SciTech Connect (OSTI)

    none,

    2004-03-01

    A Committee of Visitors (COV) was formed to review the procedures used by the Office of Fusion Energy Sciences to manage its Theory and Computations program. The COV was pleased to conclude that the research portfolio supported by the OFES Theory and Computations Program was of very high quality. The Program supports research programs at universities, research industries, and national laboratories that are well regarded internationally and address questions of high relevance to the DOE. A major change in the management of the Theory and Computations program over the past few years has been the introduction of a system of comparative peer review to guide the OFES Theory Team in selecting proposals for funding. The COV was impressed with the success of OFES in its implementation of comparative peer review and with the quality of the reviewers chosen by the OFES Theory Team. The COV concluded that the competitive peer review process has improved steadily over the three years that it has been in effect and that it has improved both the fairness and accountability of the proposal review process. While the COV commends OFES in its implementation of comparative review, the COV offers the following recommendations in the hope that they will further improve the comparative peer review process: The OFES should improve the consistency of peer reviews. We recommend adoption of a “results-oriented” scoring system in their guidelines to referees (see Appendix II), a greater use of review panels, and a standard format for proposals; The OFES should further improve the procedures and documentation for proposal handling. We recommend that the “folders” documenting funding decisions contain all the input from all of the reviewers, that OFES document their rationale for funding decisions which are at variance with the recommendation of the peer reviewers, and that OFES provide a Summary Sheet within each folder; The OFES should better communicate the procedures used to

  15. 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 ...

  16. 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 ...

  17. Earth and Environmental Sciences

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

    Reveal climate change drivers and ecosystem impacts Perfect geological greenhouse gas ... Advanced computational Earth sciences Atmospheric, climate and ecosystem science Geology ...

  18. Nick Wright Named Advanced Technologies Group Lead

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

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

  19. Science Digests

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

    Science Digests Science Digests Our Science Digests embrace complex issues around our science, technologies, and mission in a series of mini-articles that provide a context for our historical approach, current problem solving and our vision for the future. Spatial partitioning for the ocean simulation data set. Data triage enables extreme-scale computing Data selection and triage are important techniques for large-scale data, which can drastically reduce the amount of data written to disk or

  20. 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 ...

    1. Nonequilibrium critical relaxation of structurally disordered systems in the short-time regime: Renormalization group description and computer simulation

      SciTech Connect (OSTI)

      Prudnikov, V. V. Prudnikov, P. V.; Kalashnikov, I. A.; Rychkov, M. V.

      2010-02-15

      The influence of nonequilibrium initial states on the evolution of anisotropic systems with quenched uncorrelated structural defects at the critical point is studied. The field-theoretical description of the nonequilibrium critical behavior of 3D systems is obtained for the first time, and the dynamic critical exponent of the short-time evolution in the two-loop approximation without the use of {epsilon} expansion is calculated. The values of dynamic critical exponents calculated using the series resummation methods are compared with the results of computer simulation of nonequilibrium critical behavior of the 3D disordered Ising model in the short-time regime. It is demonstrated that the values of the critical exponents calculated in this paper are in better agreement with the results of computer simulation than the results of application of {epsilon} expansion.

    2. FY 2009 Annual Report of Joule Software Metric SC GG 3.1/2.5.2, Improve Computational Science Capabilities

      SciTech Connect (OSTI)

      Kothe, Douglas B; Roche, Kenneth J; Kendall, Ricky A

      2010-01-01

      The Joule Software Metric for Computational Effectiveness is established by Public Authorizations PL 95-91, Department of Energy Organization Act, and PL 103-62, Government Performance and Results Act. The U.S. Office of Management and Budget (OMB) oversees the preparation and administration of the President s budget; evaluates the effectiveness of agency programs, policies, and procedures; assesses competing funding demands across agencies; and sets the funding priorities for the federal government. The OMB has the power of audit and exercises this right annually for each federal agency. According to the Government Performance and Results Act of 1993 (GPRA), federal agencies are required to develop three planning and performance documents: 1.Strategic Plan: a broad, 3 year outlook; 2.Annual Performance Plan: a focused, 1 year outlook of annual goals and objectives that is reflected in the annual budget request (What results can the agency deliver as part of its public funding?); and 3.Performance and Accountability Report: an annual report that details the previous fiscal year performance (What results did the agency produce in return for its public funding?). OMB uses its Performance Assessment Rating Tool (PART) to perform evaluations. PART has seven worksheets for seven types of agency functions. The function of Research and Development (R&D) programs is included. R&D programs are assessed on the following criteria: Does the R&D program perform a clear role? Has the program set valid long term and annual goals? Is the program well managed? Is the program achieving the results set forth in its GPRA documents? In Fiscal Year (FY) 2003, the Department of Energy Office of Science (DOE SC-1) worked directly with OMB to come to a consensus on an appropriate set of performance measures consistent with PART requirements. The scientific performance expectations of these requirements reach the scope of work conducted at the DOE national laboratories. The Joule system

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

      SciTech Connect (OSTI)

      Galli, Giulia; Dunning, Thom

      2009-08-13

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

    4. 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

    5. Molecular Science

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

      Molecular Science NETL's Molecular Science competency provides technology-enabling computational and experimental insight into the atomic-level processes occurring in condensed matter and gas phase systems or at the heterogeneous surface-gas interfaces used for energy applications. Research includes molecular optimization as well as both classical and high-throughput material design, specifically: Molecular Optimization Development and application of new computational approaches in the general

    6. XSD Groups | Advanced Photon Source

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

      Imaging (IMG) Primary Contact: Francesco De Carlo Research Disciplines: Materials Science, Biology, Physics, Life Sciences The IMG group designs, supports, and operates...

    7. Computing Videos

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

      Computing Videos Computing

    8. Earth Sciences report, 1989--1990

      SciTech Connect (OSTI)

      Younker, L.W.; Peterson, S.J.; Price, M.E.

      1991-03-01

      The Earth Sciences Department at Lawrence Livermore National Laboratory (LLNL) conducts work in support of the Laboratory's energy, defense, environmental, and basic research programs. The Department comprises more than 100 professional scientific personnel spanning a variety of subdisciplines: geology, seismology, physics, geophysics, geochemistry, geohydrology, chemical engineering, and mechanical engineering. Resident technical support groups add significant additional technical expertise, including Containment Engineering, Computations, Electronic Engineering, Mechanical Engineering, Chemistry and Materials Science, and Technical Information. In total, approximately 180 professional scientists and engineers are housed in the Earth Sciences Department, making it one of the largest geo-science research groups in the nation. Previous Earth Sciences reports have presented an outline of the technical capabilities and accomplishments of the groups within the Department. In this FY 89/90 Report, we have chosen instead to present twelve of our projects in full-length technical articles. This Overview introduces those articles and highlights other significant research performed during this period.

    9. NERSC Gateways Pave Way for 'Team Science'

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

      NERSC's Science Gateways Pave Way for 'Team Science' NERSC Gateways Pave Way for 'Team Science' Computational scientists at NERSC work with researchers around the globe to develop ...

    10. Sandia National Laboratories: Research: Research Foundations: Computing and

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

      Information Science Research Foundations Bioscience Computing and Information Science Engineering Science Geoscience Materials Science Nanodevices and Microsystems Radiation Effects and High Energy Density Science Research Computing and Information Science Red Storm photo Our approach Vertically integrated, scalable supercomputing Goal Increase capability while reducing the space and power requirements of future computing systems by changing the nature of computing devices, computer

    11. 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, ...

    12. Materials Science in Radiation and Dynamics Extremes

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

      8 Materials Science in Radiation and Dynamics Extremes Our combination of modeling and experimental testing capabilities opens up unparalleled opportunities to do fundamental research leading to physics-based predictive models. Contact Us Group Leader Ellen Cerreta Email Deputy Group Leader Christopher Stanek Email Group Office (505) 665-4735 We predict structure/property relationships of materials, perform computational materials modeling, characterize thermophysical properties, and measure the

    13. Prediction of heat capacities of solid inorganic salts from group...

      Office of Scientific and Technical Information (OSTI)

      Subject: 36 MATERIALS SCIENCE; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; SALTS; SPECIFIC HEAT; OXIDES; FLUORIDES; CHLORIDES; ANIONS; CATIONS; ...

    14. Science and Technology Review December 2011 (Technical Report...

      Office of Scientific and Technical Information (OSTI)

      AND FUSION TECHNOLOGY; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTER CALCULATIONS; COMPUTER CODES; COMPUTERIZED SIMULATION; ENERGY; ...

    15. Process Simulation Role in the Development of New Alloys Based on Integrated Computational Material Science and Engineering

      SciTech Connect (OSTI)

      Sabau, Adrian S; Porter, Wallace D; Roy, Shibayan; Shyam, Amit

      2014-01-01

      To accelerate the introduction of new materials and components, the development of metal casting processes requires the teaming between different disciplines, as multi-physical phenomena have to be considered simultaneously for the process design and optimization of mechanical properties. The required models for physical phenomena as well as their validation status for metal casting are reviewed. The data on materials properties, model validation, and relevant microstructure for materials properties are highlighted. One vehicle to accelerate the development of new materials is through combined experimental-computational efforts. Integrated computational/experimental practices are reviewed; strengths and weaknesses are identified with respect to metal casting processes. Specifically, the examples are given for the knowledge base established at Oak Ridge National Laboratory and computer models for predicting casting defects and microstructure distribution in aluminum alloy components.

    16. NUG 2014 Science and Technology Presentations

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

      Presentations NUG 2014 Science and Technology Presentations Carter Berkeley Lab Welcomes the NERSC Users' Group February 4, 2014 Jonathan Carter, Berkeley Lab Read More » Skinner3 More Data, More Science ... Moore's Law February 4, 2014 David Skinner, NERSC Read More » Almgren Low Mach Number Models in Computational Astrophysics February 4, 2014 Ann Almgren, Berkeley Lab Read More » Persson2 A Google for Materials February 4, 2014 Kristin Person, Berkeley Lab Read More » Collins Modeling the

    17. BES Science Network Requirements

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

      Network Requirements Report of the Basic Energy Sciences Network Requirements Workshop Conducted June 4-5, 2007 BES Science Network Requirements Workshop Basic Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Washington, DC - June 4 and 5, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which

    18. Information Technology Advisory Group (iTAG) | The Ames Laboratory

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

      Committees Information Technology Advisory Group (iTAG) The Information Technology Advisory Group (iTAG) is a standing Ames Laboratory committee consisting of Ames Lab scientists and IT professionals working together to look at and advise the computing needs for researchers. iTAG Charter The committee consists of: Diane Den Adel (Information Services Representative) Terry Herrman (Engineering Services Group Representative) Linlin Wang (Science and Technology Representative) Cynthia Jenks

    19. Energy Sciences Network (ESnet) | U.S. DOE Office of Science (SC)

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

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

    20. Sandia National Laboratories: Research: Materials Science: Image Gallery

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

      Materials Science Bioscience Computing and Information Science Electromagnetics Engineering Science Geoscience Materials Science About Materials Science Research Image Gallery Video Gallery Facilities Nanodevices and Microsystems Radiation Effects and High Energy Density Science Research Image Gallery

    1. Sandia National Laboratories: Research: Materials Science: Video Gallery

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

      Materials Science Bioscience Computing and Information Science Electromagnetics Engineering Science Geoscience Materials Science About Materials Science Research Image Gallery Video Gallery Facilities Nanodevices and Microsystems Radiation Effects and High Energy Density Science Research Video Gallery

    2. Science Facilities

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

      Facilities Science Facilities The focal point for basic and applied R&D programs with a primary focus on energy but also encompassing medical, biotechnology, high-energy physics, and advanced scientific computing programs. Center for Integrated Nanotechnologies» Dual Axis Radiographic Hydrodynamic Test Facility (DARHT)» Electron Microscopy Lab» Ion Beam Materials Lab» Isotope Production Facility» Los Alamos Neutron Science Center» Lujan Center» Matter-Radiation Interactions in

    3. ALS Communications Group

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

      Communications Group Print From left: Ashley White, Lori Tamura, and Keri Troutman. The ALS Communications staff maintain the ALS Web site; write and edit all print and electronic publications for the ALS, including Science Highlights, Science Briefs, brochures, handouts, and the monthly newsletter ALSNews; and create educational and scientific outreach materials. In addition, members of the group organize bi-monthly Science Cafés, create conference and workshop Web sites and publicity, and

    4. ALS Communications Group

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

      Communications Group Print From left: Ashley White, Lori Tamura, and Keri Troutman. The ALS Communications staff maintain the ALS Web site; write and edit all print and electronic publications for the ALS, including Science Highlights, Science Briefs, brochures, handouts, and the monthly newsletter ALSNews; and create educational and scientific outreach materials. In addition, members of the group organize bi-monthly Science Cafés, create conference and workshop Web sites and publicity, and

    5. Climate Modeling using High-Performance Computing

      SciTech Connect (OSTI)

      Mirin, A A

      2007-02-05

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

    6. Open Science Grid at NERSC

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

      Open Science Grid Open Science Grid at NERSC NERSC provides computing to Open Science Grid (OSG) users through a special allocation. OSG Users must submit an OSG new user request ...

    7. 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 ...

    8. 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 ...

    9. 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 ...

    10. The Office of Science Data-Management Challenge

      SciTech Connect (OSTI)

      Mount, Richard P.; /SLAC

      2005-10-10

      Science--like business, national security, and even everyday life--is becoming more and more data intensive. In some sciences the data-management challenge already exceeds the compute-power challenge in its needed resources. Leadership in applying computing to science will necessarily require both world-class computing and world-class data management. The Office of Science program needs a leadership-class capability in scientific data management. Currently two-thirds of Office of Science research and development in data management is left to the individual scientific programs. About $18M/year is spent by the programs on data-management research and development targeted at their most urgent needs. This is to be compared with the $9M/year spent on data management by DOE computer science. This highly mission-directed approach has been effective, but only in meeting just the highest-priority needs of individual programs. A coherent, leadership-class, program of data management is clearly warranted by the scale and nature of the Office of Science programs. More directly, much of the Office of Science portfolio is in desperate need of such a program; without it, data management could easily become the primary bottleneck to scientific progress within the next five years. When grouped into simulation-intensive science, experiment/observation-intensive science, and information-intensive science, the Office of Science programs show striking commonalities in their data-management needs. Not just research and development but also packaging and hardening as well as maintenance and support are required. Meeting these needs is a medium- to long-term effort requiring a well-planned program of evolving investment. We propose an Office of Science Data-Management Program at an initial scale of $32M/year of new funding. The program should be managed by a Director charged with creating and maintaining a forward-looking approach to multiscience data-management challenges. The program