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Applied & Computational MathematicsChallenges for the Design and Control of Dynamic Energy Systems
Brown, D L; Burns, J A; Collis, S; Grosh, J; Jacobson, C A; Johansen, H; Mezic, I; Narayanan, S; Wetter, M
2011-03-10
The Energy Independence and Security Act of 2007 (EISA) was passed with the goal 'to move the United States toward greater energy independence and security.' Energy security and independence cannot be achieved unless the United States addresses the issue of energy consumption in the building sector and significantly reduces energy consumption in buildings. Commercial and residential buildings account for approximately 40% of the U.S. energy consumption and emit 50% of CO{sub 2} emissions in the U.S. which is more than twice the total energy consumption of the entire U.S. automobile and light truck fleet. A 50%-80% improvement in building energy efficiency in both new construction and in retrofitting existing buildings could significantly reduce U.S. energy consumption and mitigate climate change. Reaching these aggressive building efficiency goals will not happen without significant Federal investments in areas of computational and mathematical sciences. Applied and computational mathematics are required to enable the development of algorithms and tools to design, control and optimize energy efficient buildings. The challenge has been issued by the U.S. Secretary of Energy, Dr. Steven Chu (emphasis added): 'We need to do more transformational research at DOE including computer design tools for commercial and residential buildings that enable reductions in energy consumption of up to 80 percent with investments that will pay for themselves in less than 10 years.' On July 8-9, 2010 a team of technical experts from industry, government and academia were assembled in Arlington, Virginia to identify the challenges associated with developing and deploying newcomputational methodologies and tools thatwill address building energy efficiency. These experts concluded that investments in fundamental applied and computational mathematics will be required to build enabling technology that can be used to realize the target of 80% reductions in energy consumption. In addition the
Computational physics and applied mathematics capability review June 8-10, 2010
Lee, Stephen R
2010-01-01
Los Alamos National Laboratory will review its Computational Physics and Applied Mathematics (CPAM) capabilities in 2010. The goals of capability reviews are to assess the quality of science, technology, and engineering (STE) performed by the capability, evaluate the integration of this capability across the Laboratory and within the scientific community, examine the relevance of this capability to the Laboratory's programs, and provide advice on the current and future directions of this capability. This is the first such review for CPAM, which has a long and unique history at the Laboratory, starting from the inception of the Laboratory in 1943. The CPAM capability covers an extremely broad technical area at Los Alamos, encompassing a wide array of disciplines, research topics, and organizations. A vast array of technical disciplines and activities are included in this capability, from general numerical modeling, to coupled multi-physics simulations, to detailed domain science activities in mathematics, methods, and algorithms. The CPAM capability involves over 12 different technical divisions and a majority of our programmatic and scientific activities. To make this large scope tractable, the CPAM capability is broken into the following six technical 'themes.' These themes represent technical slices through the CPAM capability and collect critical core competencies of the Laboratory, each of which contributes to the capability (and each of which is divided into multiple additional elements in the detailed descriptions of the themes in subsequent sections), as follows. Theme 1: Computational Fluid Dynamics - This theme speaks to the vast array of scientific capabilities for the simulation of fluids under shocks, low-speed flow, and turbulent conditions - which are key, historical, and fundamental strengths of the Laboratory. Theme 2: Partial Differential Equations - The technical scope of this theme is the applied mathematics and numerical solution of partial
Mathematical and Computational Epidemiology
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Mathematical and Computational Epidemiology Search Site submit Contacts | Sponsors Mathematical and Computational Epidemiology Los Alamos National Laboratory change this image and alt text Menu About Contact Sponsors Research Agent-based Modeling Mixing Patterns, Social Networks Mathematical Epidemiology Social Internet Research Uncertainty Quantification Publications People Mathematical and Computational Epidemiology (MCEpi) Quantifying model uncertainty in agent-based simulations for
Experimental Mathematics and Computational Statistics
Bailey, David H.; Borwein, Jonathan M.
2009-04-30
The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.
Applied Mathematics | U.S. DOE Office of Science (SC)
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Applied Mathematics Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science 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 Resources Contact Information Advanced Scientific Computing Research U.S. Department of
Applied Mathematics and Plasma Physics
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5 Applied Mathematics and Plasma Physics Maintaining mathematic, theory, modeling, and simulation capabilities in a broad set of areas Leadership Group Leader Pieter Swart Email Deputy Group Leader (Acting) Luis Chacon Email Contact Us Administrator Charlotte Lehman Email Electron density simulation Electron density from an orbital-free quantum molecular dynamics simulation for a warm dense plasma of deuterium at density 10 g/cc and temperature 10 eV. Mathematical, theory, modeling, and
Lee, Stephen R
2010-01-01
Los Alamos National Laboratory will review its Computational Physics and Applied Mathematics (CPAM) capabilities in 2010. The goals of capability reviews are to assess the quality of science, technology, and engineering (STE) performed by the capability, evaluate the integration of this capability across the Laboratory and within the scientific community, examine the relevance of this capability to the Laboratory's programs, and provide advice on the current and future directions of this capability. This is the first such review for CPAM, which has a long and unique history at the laboratory, starting from the inception of the Laboratory in 1943. The CPAM capability covers an extremely broad technical area at Los Alamos, encompassing a wide array of disciplines, research topics, and organizations. A vast array of technical disciplines and activities are included in this capability, from general numerical modeling, to coupled mUlti-physics simulations, to detailed domain science activities in mathematics, methods, and algorithms. The CPAM capability involves over 12 different technical divisions and a majority of our programmatic and scientific activities. To make this large scope tractable, the CPAM capability is broken into the following six technical 'themes.' These themes represent technical slices through the CP AM capability and collect critical core competencies of the Laboratory, each of which contributes to the capability (and each of which is divided into multiple additional elements in the detailed descriptions of the themes in subsequent sections): (1) Computational Fluid Dynamics - This theme speaks to the vast array of scientific capabilities for the simulation of fluids under shocks, low-speed flow, and turbulent conditions - which are key, historical, and fundamental strengths of the laboratory; (2) Partial Differential Equations - The technical scope of this theme is the applied mathematics and numerical solution of partial differential equations
Applied Mathematics Conferences and Workshops | U.S. DOE Office of Science
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(SC) Applied Mathematics » Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science 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 Resources Contact Information
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& Computational Math - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us ... Twitter Google + Vimeo GovDelivery SlideShare Applied & Computational Math HomeEnergy ...
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7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader ...
Mathematics and Computer Science Division | Argonne National...
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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 ...
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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
Information Science, Computing, Applied Math
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Information Science, Computing, Applied Math Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los ...
The Applied Mathematics for Power Systems (AMPS) (Technical Report...
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... Subject: 24 POWER TRANSMISSION AND DISTRIBUTION; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 97 MATHEMATICAL METHODS AND COMPUTING; ALGORITHMS; ...
Information Science, Computing, Applied Math
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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
Applying computationally efficient schemes for biogeochemical...
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Sponsoring Org: USDOE Office of Science (SC) Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING Word Cloud ...
Mathematical challenges from theoretical/computational chemistry
1995-12-31
The committee believes that this report has relevance and potentially valuable suggestions for a wide range of readers. Target audiences include: graduate departments in the mathematical and chemical sciences; federal and private agencies that fund research in the mathematical and chemical sciences; selected industrial and government research and development laboratories; developers of software and hardware for computational chemistry; and selected individual researchers. Chapter 2 of this report covers some history of computational chemistry for the nonspecialist, while Chapter 3 illustrates the fruits of some past successful cross-fertilization between mathematical scientists and computational/theoretical chemists. In Chapter 4 the committee has assembled a representative, but not exhaustive, survey of research opportunities. Most of these are descriptions of important open problems in computational/theoretical chemistry that could gain much from the efforts of innovative mathematical scientists, written so as to be accessible introductions to the nonspecialist. Chapter 5 is an assessment, necessarily subjective, of cultural differences that must be overcome if collaborative work is to be encouraged between the mathematical and the chemical communities. Finally, the report ends with a brief list of conclusions and recommendations that, if followed, could promote accelerated progress at this interface. Recognizing that bothersome language issues can inhibit prospects for collaborative research at the interface between distinctive disciplines, the committee has attempted throughout to maintain an accessible style, in part by using illustrative boxes, and has included at the end of the report a glossary of technical terms that may be familiar to only a subset of the target audiences listed above.
Willenbring, James M.; Bartlett, Roscoe Ainsworth; Heroux, Michael Allen
2012-01-01
Software lifecycles are becoming an increasingly important issue for computational science and engineering (CSE) software. The process by which a piece of CSE software begins life as a set of research requirements and then matures into a trusted high-quality capability is both commonplace and extremely challenging. Although an implicit lifecycle is obviously being used in any effort, the challenges of this process - respecting the competing needs of research vs. production - cannot be overstated. Here we describe a proposal for a well-defined software lifecycle process based on modern Lean/Agile software engineering principles. What we propose is appropriate for many CSE software projects that are initially heavily focused on research but also are expected to eventually produce usable high-quality capabilities. The model is related to TriBITS, a build, integration and testing system, which serves as a strong foundation for this lifecycle model, and aspects of this lifecycle model are ingrained in the TriBITS system. Here, we advocate three to four phases or maturity levels that address the appropriate handling of many issues associated with the transition from research to production software. The goals of this lifecycle model are to better communicate maturity levels with customers and to help to identify and promote Software Engineering (SE) practices that will help to improve productivity and produce better software. An important collection of software in this domain is Trilinos, which is used as the motivation and the initial target for this lifecycle model. However, many other related and similar CSE (and non-CSE) software projects can also make good use of this lifecycle model, especially those that use the TriBITS system. Indeed this lifecycle process, if followed, will enable large-scale sustainable integration of many complex CSE software efforts across several institutions.
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- Mathematics and Computing Metaphors for cyber security. Moore, Judy Hennessey; Parrott, Lori K.; Karas, Thomas H. (2008) Staggered-grid finite-difference acoustic modeling with ...
Physics, Computer Science and Mathematics Division. Annual report, 1 January-31 December 1979
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.
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5 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 1019 A comparison of ...
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Physics, Computer Science and Mathematics Division. Annual report, January 1-December 31, 1980
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)
Physics, Computer Science and Mathematics Division annual report, 1 January-31 December 1983
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.
Computer, Computational, and Statistical Sciences
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CCS Computer, Computational, and Statistical Sciences Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central ...
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US Dept of Energy Office of Scientific and Technical Information September 2013 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 169 Lecture notes for introduction to safety and health Biele, F. (1992) 57 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 50 Computational procedures for determining parameters in Ramberg-Osgood elastoplastic
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US Dept of Energy Office of Scientific and Technical Information September 2015 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 1049 Lecture notes for introduction to safety and health Biele, F. (1992) 333 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 286 Ferrite Measurement in Austenitic and Duplex Stainless Steel Castings -
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US Dept of Energy Office of Scientific and Technical Information December 2015 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 1446 Automotive vehicle sensors Sheen, S.H.; Raptis, A.C.; Moscynski, M.J. (1995) 373 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 365 Lecture notes for introduction to safety and health Biele, F. (1992) 324
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US Dept of Energy Office of Scientific and Technical Information for Mathematics and Computing: September 2014 Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 193 Lecture notes for introduction to safety and health Biele, F. (1992) 56 Mort User's Manual: For use with the Management Oversight and Risk Tree analytical logic diagram Knox, N.W.; Eicher, R.W. (1992) 51 Levenberg--Marquardt algorithm: implementation and theory More, J.J.
Webinar "Applying High Performance Computing to Engine Design...
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Webinar "Applying High Performance Computing to Engine Design Using Supercomputers" Share ... Study Benefits of Bioenergy Crop Integration Video: Biofuel technology at Argonne
Computing and Computational Sciences Directorate - Computer Science and
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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
Computational Advances in Applied Energy | Department of Energy
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Computational Advances in Applied Energy Computational Advances in Applied Energy Friedmann-LLNL-SEAB.10.11.pdf (19.92 MB) More Documents & Publications Director's Perspective by George Miller Fact Sheet: Collaboration of Oak Ridge, Argonne, and Livermore (CORAL) QER - Comment of Canadian Hydropower Association
Software and High Performance Computing
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Computational physics, computer science, applied mathematics, statistics and the ... a fully operational supercomputing environment Providing Current Capability Scientific ...
Apply for the Parallel Computing Summer Research Internship
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How to Apply Apply for the Parallel Computing Summer Research Internship Creating next-generation leaders in HPC research and applications development Program Co-Lead Robert (Bob) Robey Email Program Co-Lead Gabriel Rockefeller Email Program Co-Lead Hai Ah Nam Email Professional Staff Assistant Nicole Aguilar Garcia (505) 665-3048 Email Current application deadline is February 5, 2016 with notification by early March 2016. Who can apply? Upper division undergraduate students and early graduate
1980-10-01
Research during the period is sketched in a series of abstract-length summaries. The forte of the Laboratory lies in the development and analysis of mathematical models and efficient computing methods for the rapid solution of technological problems of interest to DOE, in particular, the detailed calculation on large computers of complicated fluid flows in which reactions and heat conduction may be taking place. The research program of the Laboratory encompasses two broad categories: analytical and numerical methods, which include applied analysis, computational mathematics, and numerical methods for partial differential equations, and advanced computer concepts, which include software engineering, distributed systems, and high-performance systems. Lists of seminars and publications are included. (RWR)
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.
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).
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PC-1D installation manual and user's guide Basore, P.A. 14 SOLAR ENERGY; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 42 ENGINEERING; CHARGE...
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DIFFERENTIAL EQUATIONS; VERIFICATION; COMPUTER CODES; NUMERICAL SOLUTION; FLUID MECHANICS A procedure for code Verification by the Method of Manufactured Solutions (MMS) is...
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for configuration management using computer aided software engineering (CASE) tools Smith, P.R.; Sarfaty, R. (1993) 26 Ferrite Measurement in Austenitic and Duplex Stainless ...
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for configuration management using computer aided software engineering (CASE) tools Smith, P.R.; Sarfaty, R. (1993) 18 Description of DASSL: a differentialalgebraic system ...
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Dept of Energy Office of Scientific and Technical Information March 2014 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 291 Ten Problems in Experimental Mathematics Bailey, David H.; Borwein, Jonathan M.; Kapoor, Vishaal;Weisstein, Eric (2004) 101 The Effects of Nuclear Weapons Glasstone, Samuel (1964) 72 Levenberg--Marquardt algorithm: implementation and theory More, J.J. (1977) 49
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Dept of Energy Office of Scientific and Technical Information July 2013 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 567 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 89 Lecture notes for introduction to safety and health Biele, F. (1992) 78 Computational procedures for determining parameters in Ramberg-Osgood elastoplastic model
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Dept of Energy Office of Scientific and Technical Information June 2014 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 337 The Effects of Nuclear Weapons Glasstone, Samuel (1964) 71 Levenberg--Marquardt algorithm: implementation and theory More, J.J. (1977) 68 Computational procedures for determining parameters in Ramberg-Osgood elastoplastic model based on modulus and damping versus
1997-12-31
The conference focused on computational and modeling issues in the geosciences. Of the geosciences, problems associated with phenomena occurring in the earth`s subsurface were best represented. Topics in this area included petroleum recovery, ground water contamination and remediation, seismic imaging, parameter estimation, upscaling, geostatistical heterogeneity, reservoir and aquifer characterization, optimal well placement and pumping strategies, and geochemistry. Additional sessions were devoted to the atmosphere, surface water and oceans. The central mathematical themes included computational algorithms and numerical analysis, parallel computing, mathematical analysis of partial differential equations, statistical and stochastic methods, optimization, inversion, homogenization and renormalization. The problem areas discussed at this conference are of considerable national importance, with the increasing importance of environmental issues, global change, remediation of waste sites, declining domestic energy sources and an increasing reliance on producing the most out of established oil reservoirs.
DOE Applied Math Summit | U.S. DOE Office of Science (SC)
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systems, mathematics for complex distributed systems, uncertainty quantification, mathematics for analysis of petascale data, and joint applied math computer science institutes. ...
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high-performance computing, computational science, applied mathematics, scientific data management, visualization, and informatics. NREL is home to the largest high performance...
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Dept of Energy Office of Scientific and Technical Information April 2013 Most Viewed Documents for Mathematics And Computing Publications in biomedical and environmental sciences programs, 1981 Moody, J.B. (comp.) (1982) 306 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 159 Lecture notes for introduction to safety and health Biele, F. (1992) 138 Analytical considerations in the code qualification of piping systems Antaki, G.A. (1995) 113
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Dept of Energy Office of Scientific and Technical Information January 2013 Most Viewed Documents for Mathematics And Computing Cybersecurity through Real-Time Distributed Control Systems Kisner, Roger A [ORNL]; Manges, Wayne W [ORNL]; MacIntyre, Lawrence Paul [ORNL]; Nutaro, James J [ORNL]; Munro Jr, John K [ORNL]; Ewing, Paul D [ORNL]; Howlader, Mostofa [ORNL]; Kuruganti, Phani Teja [ORNL]; Wallace, Richard M [ORNL]; Olama, Mohammed M [ORNL] REACTOR ANALYSIS AND VIRTUAL CONTROL ENVIRONMENT
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Dept of Energy Office of Scientific and Technical Information June 2015 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 833 Lecture notes for introduction to safety and health Biele, F. (1992) 256 Systems engineering management plans. Rodriguez, Tamara S. (2009) 218 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 216 Ferrite Measurement
March 2015 Most Viewed Documents for Mathematics And Computing | OSTI, US
Office of Scientific and Technical Information (OSTI)
Dept of Energy Office of Scientific and Technical Information 5 Most Viewed Documents for Mathematics And Computing Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 1019 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 183 Lecture notes for introduction to safety and health Biele, F. (1992) 172 Mort User's Manual: For use with the Management Oversight and Risk Tree analytical logic diagram
Most Viewed Documents - Mathematics and Computing | OSTI, US Dept of Energy
Office of Scientific and Technical Information (OSTI)
Office of Scientific and Technical Information - Mathematics and Computing Metaphors for cyber security. Moore, Judy Hennessey; Parrott, Lori K.; Karas, Thomas H. (2008) Staggered-grid finite-difference acoustic modeling with the Time-Domain Atmospheric Acoustic Propagation Suite (TDAAPS). Aldridge, David Franklin; Collier, Sandra L. (U.S. Army Research Laboratory); Marlin, David H. (U.S. Army Research Laboratory); et al. (2005) Salinas : theory manual. Walsh, Timothy Francis; Reese, Garth
Saturday Academay of Computing and Mathematics (SACAM) at the Oak Ridge National Laboratory
Clark, D.N. )
1991-01-01
To be part of the impending Information Age, our students and teachers must be trained in the use of computers, logic, and mathematics. The Saturday Academy of Computing and Mathematics (SACAM) represents one facet of Oak Ridge National Laboratory's (ORNL) response to meet the challenge. SACAM attempts to provide the area's best high school students with a creative program that illustrates how researchers are using computing and mathematics tools to help solve nationally recognized problems in virtually all scientific fields. Each SACAM program is designed as eight 3-hour sessions. Each session outlines a current scientific question or research area. Sessions are presented on a Saturday morning by a speaker team of two to four ORNL scientists (mentors) working in that particular field. Approximately four students and one teacher from each of ten area high schools attend the eight sessions. Session topics cover diverse problems such as climate modeling cryptography and cryptology, high-energy physics, human genome sequencing, and even the use of probability in locating people lost in a national forest. Evaluations from students, teachers, and speakers indicate that the program has been well received, and a tracking program is being undertaken to determine long-range benefits. An analysis of the program's successes and lessons learned is presented as well as resources required for the program.
Physics, computer science and mathematics division. Annual report, 1 January - 31 December 1982
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)
Previous Computer Science Award Announcements | U.S. DOE Office...
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Previous Computer Science Award Announcements Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop ...
High-performance Computing Applied to Semantic Databases
Goodman, Eric L.; Jimenez, Edward; Mizell, David W.; al-Saffar, Sinan; Adolf, Robert D.; Haglin, David J.
2011-06-02
To-date, the application of high-performance computing resources to Semantic Web data has largely focused on commodity hardware and distributed memory platforms. In this paper we make the case that more specialized hardware can offer superior scaling and close to an order of magnitude improvement in performance. In particular we examine the Cray XMT. Its key characteristics, a large, global shared-memory, and processors with a memory-latency tolerant design, offer an environment conducive to programming for the Semantic Web and have engendered results that far surpass current state of the art. We examine three fundamental pieces requisite for a fully functioning semantic database: dictionary encoding, RDFS inference, and query processing. We show scaling up to 512 processors (the largest configuration we had available), and the ability to process 20 billion triples completely in-memory.
High-performance computing applied to semantic databases.
al-Saffar, Sinan; Jimenez, Edward Steven, Jr.; Adolf, Robert; Haglin, David; Goodman, Eric L.; Mizell, David
2010-12-01
To-date, the application of high-performance computing resources to Semantic Web data has largely focused on commodity hardware and distributed memory platforms. In this paper we make the case that more specialized hardware can offer superior scaling and close to an order of magnitude improvement in performance. In particular we examine the Cray XMT. Its key characteristics, a large, global shared-memory, and processors with a memory-latency tolerant design, offer an environment conducive to programming for the Semantic Web and have engendered results that far surpass current state of the art. We examine three fundamental pieces requisite for a fully functioning semantic database: dictionary encoding, RDFS inference, and query processing. We show scaling up to 512 processors (the largest configuration we had available), and the ability to process 20 billion triples completely in-memory.
Haber, Eldad
2014-03-17
The focus of research was: Developing adaptive mesh for the solution of Maxwell's equations; Developing a parallel framework for time dependent inverse Maxwell's equations; Developing multilevel methods for optimization problems with inequal- ity constraints; A new inversion code for inverse Maxwell's equations in the 0th frequency (DC resistivity); A new inversion code for inverse Maxwell's equations in low frequency regime. Although the research concentrated on electromagnetic forward and in- verse problems the results of the research was applied to the problem of image registration.
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Math Mathematical Applications Mathematica Mathematica is a fully integrated environment for technical computing. It performs symbolic manipulation of equations, integrals, differential equations and almost any mathematical expression. Read More » Matlab MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Read More »
Webinar "Applying High Performance Computing to Engine Design Using
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Supercomputers" | Argonne National Laboratory Webinar "Applying High Performance Computing to Engine Design Using Supercomputers" Share Description Video from the February 25, 2016 Convergent Science/Argonne National Laboratory webinar "Applying High Performance Computing to Engine Design using Supercomputers," featuring Janardhan Kodavasal of Argonne National Laboratory Speakers Janardhan Kodavasal, Argonne National Laboratory Duration 52:26 Topic Energy Energy
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Applied Studies and Technology (AS&T) Applied Studies and Technology (AS&T) Applied Studies and Technology (AS&T) DOE established the Environmental Sciences Laboratory (ESL) in Grand Junction, Colorado, in 1991 to support its programs. ESL scientists perform applied research and laboratory-scale demonstrations of soil and groundwater remediation and treatment technologies. Capabilities Installation, monitoring, and operation of permeable reactive barriers Research of permeable
Unsolicited Projects in 2012: Research in Computer Architecture...
Office of Science (SC) Website
Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I ...
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Apply Application Process Bringing together top space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere. ...
A Multifaceted Mathematical Approach for Complex Systems
Alexander, F.; Anitescu, M.; Bell, J.; Brown, D.; Ferris, M.; Luskin, M.; Mehrotra, S.; Moser, B.; Pinar, A.; Tartakovsky, A.; Willcox, K.; Wright, S.; Zavala, V.
2012-03-07
Applied mathematics has an important role to play in developing the tools needed for the analysis, simulation, and optimization of complex problems. These efforts require the development of the mathematical foundations for scientific discovery, engineering design, and risk analysis based on a sound integrated approach for the understanding of complex systems. However, maximizing the impact of applied mathematics on these challenges requires a novel perspective on approaching the mathematical enterprise. Previous reports that have surveyed the DOE's research needs in applied mathematics have played a key role in defining research directions with the community. Although these reports have had significant impact, accurately assessing current research needs requires an evaluation of today's challenges against the backdrop of recent advances in applied mathematics and computing. To address these needs, the DOE Applied Mathematics Program sponsored a Workshop for Mathematics for the Analysis, Simulation and Optimization of Complex Systems on September 13-14, 2011. The workshop had approximately 50 participants from both the national labs and academia. The goal of the workshop was to identify new research areas in applied mathematics that will complement and enhance the existing DOE ASCR Applied Mathematics Program efforts that are needed to address problems associated with complex systems. This report describes recommendations from the workshop and subsequent analysis of the workshop findings by the organizing committee.
Optimization methods of the net emission computation applied to cylindrical sodium vapor plasma
Hadj Salah, S. Hajji, S.; Ben Hamida, M. B.; Charrada, K.
2015-01-15
An optimization method based on a physical analysis of the temperature profile and different terms in the radiative transfer equation is developed to reduce the time computation of the net emission. This method has been applied for the cylindrical discharge in sodium vapor. Numerical results show a relative error of spectral flux density values lower than 5% with an exact solution, whereas the computation time is about 10 orders of magnitude less. This method is followed by a spectral method based on the rearrangement of the lines profile. Results are shown for Lorentzian profile and they demonstrated a relative error lower than 10% with the reference method and gain in computation time about 20 orders of magnitude.
Berkeley Lab Opens State-of-the-Art Facility for Computational...
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Complementing NERSC and ESnet in the facility will be research programs in applied mathematics and computer science that develop new methods for advancing scientific discovery. ...
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Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about Applied...
Broader source: Energy.gov [DOE]
The Energy Department today announced $3 million for ten new projects that will enable private-sector companies to use high-performance computing resources at the department's national laboratories to tackle major manufacturing challenges.
Mathematical and Computational Epidemiology
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for forecasting the spread of infectious diseases and understanding human behavior using social media Sara Del Valle 1:03 Faces of Science: Sara Del Valle We provide decision...
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Division The Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and...
Computing and Computational Sciences Directorate - Divisions
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CCSD Divisions Computational Sciences and Engineering Computer Sciences and Mathematics Information Technolgoy Services Joint Institute for Computational Sciences National Center for Computational Sciences
Software and High Performance Computing
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Software and High Performance Computing Software and High Performance Computing Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of strategic national interest Contact thumbnail of Kathleen McDonald Head of Intellectual Property, Business Development Executive Kathleen McDonald Richard P. Feynman Center for Innovation (505) 667-5844 Email Software Computational physics, computer science, applied mathematics, statistics and the
Not Available
1991-10-23
An account of the Caltech Concurrent Computation Program (C{sup 3}P), a five year project that focused on answering the question: Can parallel computers be used to do large-scale scientific computations '' As the title indicates, the question is answered in the affirmative, by implementing numerous scientific applications on real parallel computers and doing computations that produced new scientific results. In the process of doing so, C{sup 3}P helped design and build several new computers, designed and implemented basic system software, developed algorithms for frequently used mathematical computations on massively parallel machines, devised performance models and measured the performance of many computers, and created a high performance computing facility based exclusively on parallel computers. While the initial focus of C{sup 3}P was the hypercube architecture developed by C. Seitz, many of the methods developed and lessons learned have been applied successfully on other massively parallel architectures.
Applications for Postdoctoral Fellowship in Computational Science at
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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
Collaborative Mathematical Workbench Eliot Feibush, Matthew Milano,
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Benjamin Phillips, Andrew Zwicker, and James Morgan | Princeton Plasma Physics Lab Collaborative Mathematical Workbench Eliot Feibush, Matthew Milano, Benjamin Phillips, Andrew Zwicker, and James Morgan This invention enables modifying and analyzing numerical data by applying custom programs and graphically displaying the input and the result. The invention allows groups of users to interactively share their data and interactions among a number of computers for effective collaboration. The
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
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
Computer Science Program | U.S. DOE Office of Science (SC)
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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
Drew, D.A.; Flaherty, J.E.
1986-01-01
The mathematical analysis of fluid mechanics and stability and its applications in science and engineering are examined in reviews and reports. Topics addressed include Taylor-vortex flow, isothermal fluid-film lubrication theories, the morphology of spiral galaxies, rotating-fluid problems in ballistics, coupled Lorenz oscillators, the connection between chaos and turbulence, plane-front alloy solidification versus free-surface Benard convection, and the nonlinear stability of spiral flow between rotating cylinders with a small gap. Consideration is given to resonance conditions for forced two-dimensional channel flows, the secondary bifurcation of standing surface waves in rectangular basins, instability in the flow of granular materials, and the supercritical dynamics of baroclinic disturbances.
The Greatest Mathematical Discovery?
Bailey, David H.; Borwein, Jonathan M.
2010-05-12
What mathematical discovery more than 1500 years ago: (1) Is one of the greatest, if not the greatest, single discovery in the field of mathematics? (2) Involved three subtle ideas that eluded the greatest minds of antiquity, even geniuses such as Archimedes? (3) Was fiercely resisted in Europe for hundreds of years after its discovery? (4) Even today, in historical treatments of mathematics, is often dismissed with scant mention, or else is ascribed to the wrong source? Answer: Our modern system of positional decimal notation with zero, together with the basic arithmetic computational schemes, which were discovered in India about 500 CE.
New Mathematical Method Enhances Hydrology Simulations | U.S...
Office of Science (SC) Website
mathematical solutions to improve computational simulations of ecosystem water processes. ... mathematical solutions to fine tune the water and energy exchange parameters, numerical ...
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...
Cai, C.; Rodet, T.; Mohammad-Djafari, A.; Legoupil, S.
2013-11-15
Purpose: Dual-energy computed tomography (DECT) makes it possible to get two fractions of basis materials without segmentation. One is the soft-tissue equivalent water fraction and the other is the hard-matter equivalent bone fraction. Practical DECT measurements are usually obtained with polychromatic x-ray beams. Existing reconstruction approaches based on linear forward models without counting the beam polychromaticity fail to estimate the correct decomposition fractions and result in beam-hardening artifacts (BHA). The existing BHA correction approaches either need to refer to calibration measurements or suffer from the noise amplification caused by the negative-log preprocessing and the ill-conditioned water and bone separation problem. To overcome these problems, statistical DECT reconstruction approaches based on nonlinear forward models counting the beam polychromaticity show great potential for giving accurate fraction images.Methods: This work proposes a full-spectral Bayesian reconstruction approach which allows the reconstruction of high quality fraction images from ordinary polychromatic measurements. This approach is based on a Gaussian noise model with unknown variance assigned directly to the projections without taking negative-log. Referring to Bayesian inferences, the decomposition fractions and observation variance are estimated by using the joint maximum a posteriori (MAP) estimation method. Subject to an adaptive prior model assigned to the variance, the joint estimation problem is then simplified into a single estimation problem. It transforms the joint MAP estimation problem into a minimization problem with a nonquadratic cost function. To solve it, the use of a monotone conjugate gradient algorithm with suboptimal descent steps is proposed.Results: The performance of the proposed approach is analyzed with both simulated and experimental data. The results show that the proposed Bayesian approach is robust to noise and materials. It is also
U.S. Energy Information Administration (EIA) Indexed Site
Mathematical Statisticians The U.S. Energy Information Administration (EIA) within the Department of Energy has forged a world-class information program that stresses quality, teamwork, and employee growth. In support of our program, we offer a variety of profes- sional positions, including the Mathematical Statistician, whose work is associated with the design, implementation and evaluation of statistical methods. Responsibilities: Mathematical Statisticians perform or participate in one or
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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
National Nuclear Security Administration (NNSA)
California.
Retired computers used for cybersecurity research at Sandia National...
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CSCNSI How To Apply How to Apply for Computer System, Cluster, and Networking Summer Institute Emphasizes practical skills development Contact Leader Stephan Eidenbenz (505)...
Glimm, J.
2009-10-14
Progress for the past decade or so has been extraordinary. The solution of Fermat's Last Theorem [11] and of the Poincare Conjecture [1] have resolved two of the most outstanding challenges to mathematics. For both cases, deep and advanced theories and whole subfields of mathematics came into play and were developed further as part of the solutions. And still the future is wide open. Six of the original seven problems from the Clay Foundation challenge remain open, the 23 DARPA challenge problems are open. Entire new branches of mathematics have been developed, including financial mathematics and the connection between geometry and string theory, proposed to solve the problems of quantized gravity. New solutions of the Einstein equations, inspired by shock wave theory, suggest a cosmology model which fits accelerating expansion of the universe possibly eliminating assumptions of 'dark matter'. Intellectual challenges and opportunities for mathematics are greater than ever. The role of mathematics in society continues to grow; with this growth comes new opportunities and some growing pains; each will be analyzed here. We see a broadening of the intellectual and professional opportunities and responsibilities for mathematicians. These trends are also occuring across all of science. The response can be at the level of the professional societies, which can work to deepen their interactions, not only within the mathematical sciences, but also with other scientific societies. At a deeper level, the choices to be made will come from individual mathematicians. Here, of course, the individual choices will be varied, and we argue for respect and support for this diversity of responses. In such a manner, we hope to preserve the best of the present while welcoming the best of the new.
Unsolicited Projects in 2012: Research in Computer Architecture, Modeling,
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and Evolving MPI for Exascale | U.S. DOE Office of Science (SC) 2: Research in Computer Architecture, Modeling, and Evolving MPI for Exascale Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities
Abercrombie, Robert K; Sheldon, Frederick T; Grimaila, Michael R
2010-01-01
In earlier works, we presented a computational infrastructure that allows an analyst to estimate the security of a system in terms of the loss that each stakeholder stands to sustain as a result of security breakdowns. In this paper, we discuss how this infrastructure can be used in the subject domain of mission assurance as defined as the full life-cycle engineering process to identify and mitigate design, production, test, and field support deficiencies of mission success. We address the opportunity to apply the Cyberspace Security Econometrics System (CSES) to Carnegie Mellon University and Software Engineering Institute s Mission Assurance Analysis Protocol (MAAP) in this context.
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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
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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
Science at ALCF | Argonne Leadership Computing Facility
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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
Mathematical analysis of deception.
Rogers, Deanna Tamae Koike; Durgin, Nancy Ann
2003-10-01
This report describes the results of a three year research project about the use of deception in information protection. The work involved a collaboration between Sandia employees and students in the Center for Cyber Defenders (CCD) and at the University of California at Davis. This report includes a review of the history of deception, a discussion of some cognitive issues, an overview of previous work in deception, the results of experiments on the effects of deception on an attacker, and a mathematical model of error types associated with deception in computer systems.
Topological one-way quantum computation on verified logical cluster...
Office of Scientific and Technical Information (OSTI)
NOISE; QUANTUM COMPUTERS; QUBITS; STAR CLUSTERS; THREE-DIMENSIONAL CALCULATIONS; TOPOLOGY; VERIFICATION COMPUTERS; INFORMATION; MATHEMATICS; QUANTUM INFORMATION Word Cloud ...
ASCR Workshop on Quantum Computing for Science
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.
PNNL: Staff Search - Fundamental & Computational Sciences Directorate
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Divisions Advanced Computing, Mathematics & Data Atmospheric Sciences & Global Change Biological Sciences Physical Sciences User Facilities Environmental Molecular Sciences ...
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... - Mathematics and Computer Science Division, Argonne National Laboratory Fish, Alexander (Alexander Fish) - School of Mathematics and Statistics, University of Sydney Fisher, ...
Predictive Capability Maturity Model for computational modeling...
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Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, ...
Science at ALCF | Argonne Leadership Computing Facility
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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
Science at ALCF | Argonne Leadership Computing Facility
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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
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... Alfaro, Manuel - Departamento de Matemticas, Universidad de Zaragoza Algebraic Number Theory Archives Applied Algebra Group at Linz Argonne National Laboratory, Mathematics and ...
Chameleon: A Computer Science Testbed as Application of Cloud...
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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...
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Computing Videos Computing
Engineering Physics and Mathematics Division progress report for period ending September 30, 1987
Not Available
1987-12-01
This report provides an archival record of the activities of the Engineering Physics and Mathematics Division during the period June 30, 1985 through September 30, 1987. Work in Mathematical Sciences continues to include applied mathematics research, statistics research, and computer science. Nuclear-data measurements and evaluations continue for fusion reactors, fission reactors, and other nuclear systems. Also discussed are long-standing studies of fission-reactor shields through experiments and related analysis, of accelerator shielding, and of fusion-reactor neutronics. Work in Machine Intelligence continues to feature the development of an autonomous robot. The last descriptive part of this report reflects the work in our Engineering Physics Information Center, which again concentrates primarily upon radiation-shielding methods and related data.
Mathematical Formulation Requirements and Specifications for the Process Models
Steefel, C.; Moulton, D.; Pau, G.; Lipnikov, K.; Meza, J.; Lichtner, P.; Wolery, T.; Bacon, D.; Spycher, N.; Bell, J.; Moridis, G.; Yabusaki, S.; Sonnenthal, E.; Zyvoloski, G.; Andre, B.; Zheng, L.; Davis, J.
2010-11-01
The Advanced Simulation Capability for Environmental Management (ASCEM) is intended to be a state-of-the-art scientific tool and approach for understanding and predicting contaminant fate and transport in natural and engineered systems. The ASCEM program is aimed at addressing critical EM program needs to better understand and quantify flow and contaminant transport behavior in complex geological systems. It will also address the long-term performance of engineered components including cementitious materials in nuclear waste disposal facilities, in order to reduce uncertainties and risks associated with DOE EM's environmental cleanup and closure activities. Building upon national capabilities developed from decades of Research and Development in subsurface geosciences, computational and computer science, modeling and applied mathematics, and environmental remediation, the ASCEM initiative will develop an integrated, open-source, high-performance computer modeling system for multiphase, multicomponent, multiscale subsurface flow and contaminant transport. This integrated modeling system will incorporate capabilities for predicting releases from various waste forms, identifying exposure pathways and performing dose calculations, and conducting systematic uncertainty quantification. The ASCEM approach will be demonstrated on selected sites, and then applied to support the next generation of performance assessments of nuclear waste disposal and facility decommissioning across the EM complex. The Multi-Process High Performance Computing (HPC) Simulator is one of three thrust areas in ASCEM. The other two are the Platform and Integrated Toolsets (dubbed the Platform) and Site Applications. The primary objective of the HPC Simulator is to provide a flexible and extensible computational engine to simulate the coupled processes and flow scenarios described by the conceptual models developed using the ASCEM Platform. The graded and iterative approach to assessments naturally
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... de Fsica, Applied Physics Institute for Mathematics and its Applications Iowa State University, Department of Statistics Isaac Newton Institute for Mathematical Sciences
A posteriori error estimate for a Lagrangian method applied to...
Office of Scientific and Technical Information (OSTI)
Research Org: Sandia National Laboratories Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL ...
High-precision arithmetic in mathematical physics
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Bailey, David H.; Borwein, Jonathan M.
2015-05-12
For many scientific calculations, particularly those involving empirical data, IEEE 32-bit floating-point arithmetic produces results of sufficient accuracy, while for other applications IEEE 64-bit floating-point is more appropriate. But for some very demanding applications, even higher levels of precision are often required. Furthermore, this article discusses the challenge of high-precision computation, in the context of mathematical physics, and highlights what facilities are required to support future computation, in light of emerging developments in computer architecture.
(Sparsity in large scale scientific computation)
Ng, E.G.
1990-08-20
The traveler attended a conference organized by the 1990 IBM Europe Institute at Oberlech, Austria. The theme of the conference was on sparsity in large scale scientific computation. The conference featured many presentations and other activities of direct interest to ORNL research programs on sparse matrix computations and parallel computing, which are funded by the Applied Mathematical Sciences Subprogram of the DOE Office of Energy Research. The traveler presented a talk on his work at ORNL on the development of efficient algorithms for solving sparse nonsymmetric systems of linear equations. The traveler held numerous technical discussions on issues having direct relevance to the research programs on sparse matrix computations and parallel computing at ORNL.
Computing and Computational Sciences Directorate - National Center for
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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
General Mathematical and Computing System Routines
Energy Science and Technology Software Center (OSTI)
1999-04-20
GO is a 32-bit genetic optimization driver that runs under Windows. It is an optimization scheme used to solve large combinatorial problems using "genetic "algorithms. GO is a genetic optimization driver: it must be linked with a user supplied process model before it can be used. The link is made through a text file that transfers data to and from the user-supplied process model. A user interface allows optimization parameters to be entered, edited, saved.more » It also allows the user to display results as the optimization proceeds or at a later time.« less
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scour-tracc-cfd TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Fluid Dynamics Overview of CFD: Video Clip with Audio Computational fluid dynamics (CFD) research uses mathematical and computational models of flowing fluids to describe and predict fluid response in problems of interest, such as the flow of air around a moving vehicle or the flow of water and sediment in a river. Coupled with appropriate and prototypical
Measures of agreement between computation and experiment:validation...
Office of Scientific and Technical Information (OSTI)
and safety assessment, improved methods are needed for comparing computational ... EXPERIMENTS Uncertainty-Mathematical models.; Validation-Simulation.; Experimental design. ...
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How To Apply How to Apply for Computer System, Cluster, and Networking Summer Institute Emphasizes practical skills development Contacts Program Lead Carolyn Connor (505) 665-9891 Email Professional Staff Assistant Nickole Aguilar Garcia (505) 665-3048 Email The 2016 application process will commence January 5 through February 13, 2016. Applicants must be U.S. citizens. Required Materials Current resume Official university transcript (with Spring courses posted and/or a copy of Spring 2016
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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 ...
Replicated computational results (RCR) report for "BLIS: A framework...
Office of Scientific and Technical Information (OSTI)
Country of Publication: United States Language: English Subject: 97 MATHEMATICS AND COMPUTING linear algebra; libraries; high-performance; matrix; BLAS; replicated computational ...
Measures of agreement between computation and experiment : validation...
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Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; BENCH-SCALE EXPERIMENTS; COMPUTER CALCULATIONS; ...
MG-RAST in "the cloud" | Argonne Leadership Computing Facility
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MG-RAST in "the cloud" Event Sponsor: Mathematics and Computer Science Division Seminar ... data uploaded and analyzed in the past few years posing numerous computational challenges. ...
Derivative-free optimization for parameter estimation in computational...
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Journal Article: Derivative-free optimization for parameter estimation in computational nuclear physics Citation Details ... RADIATION PHYSICS; 97 MATHEMATICS, COMPUTING, AND ...
Mathematical models for risk assessment
Zaikin, S.A.
1995-12-01
The use of mathematical models in risk assessment results in the proper understanding of many aspects of chemical exposure and allows to make more actual decisions. Our project ISCRA (Integrated Systems of Complex Risk Assessment) has the aim to create integrated systems of algorythms for prediction of pollutants` exposure on human and environmental health and to apply them for environmental monitoring, and decision-making. Mathematical model {open_quotes}MASTER{close_quotes} (Mathematical Algorythm of SimulaTion of Environmental Risk) represents the complex of algorythmical blocks and is intended for the prediction of danger of pollutants` exposure for human and environmental risk. Model LIMES (LIMits EStimation) is developed for prognosis of safety concentrations of pollutants in the environment both in the case of isolated exposure and in the case of complex exposure for concrete location. Model QUANT (QUANtity of Toxicant) represents the multicompartmental physiological pharmacokinetic model describing absorption, distribution, fate, metabolism, and elimination of pollutants in the body of different groups of human population, as a result of the different kind of exposure. Decision support system CLEVER (Complex LEVE1 of Risk) predicts the probability and the degree of development of unfavourable effects as result of exposure of pollutant on human health. System is based on the data of epidemiological and experimental researches and includes several mathematical models for analysis of {open_quotes}dose-time-response{close_quotes} relations and information about clinical symptoms of diseases. Model CEP (Combination Effect Prognosis) contains probabilistic algorythms for forecasting the effect of simultaneous impact of several factors polluting the environment. The result of the program work is the prediction of an independent exposure of two or more factors, and intensification or weakening of exposure in depending on factors` interactions.
Computing and Computational Sciences Directorate - Joint Institute for
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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
Addressing Failures in Exascale Computing (Technical Report)...
Office of Scientific and Technical Information (OSTI)
J. ; Hensbergen, E. V. 1 less + Show Author Affiliations (Mathematics and Computer Science) Publication Date: 2013-04-24 OSTI Identifier: 1078029 Report Number(s): ANL...
The Applied Mathematics for Power Systems (AMPS) (Technical Report...
Office of Scientific and Technical Information (OSTI)
in rigorous algorithms and simulation toolboxes for modern and future engineered networks. ... Country of Publication: United States Language: English Subject: 24 POWER TRANSMISSION AND ...
Exploratory Experimentation and Computation
Bailey, David H.; Borwein, Jonathan M.
2010-02-25
We believe the mathematical research community is facing a great challenge to re-evaluate the role of proof in light of recent developments. On one hand, the growing power of current computer systems, of modern mathematical computing packages, and of the growing capacity to data-mine on the Internet, has provided marvelous resources to the research mathematician. On the other hand, the enormous complexity of many modern capstone results such as the Poincare conjecture, Fermat's last theorem, and the classification of finite simple groups has raised questions as to how we can better ensure the integrity of modern mathematics. Yet as the need and prospects for inductive mathematics blossom, the requirement to ensure the role of proof is properly founded remains undiminished.
SIAM Conference on Computational Science and Engineering
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
1993-12-31
From the title, the reader is led to expect a broad practical treatise on combustion and combustion devices. Remarkably, for a book of modest dimension, the author is able to deliver. The text is organized into 12 Chapters, broadly treating three major areas: combustion fundamentals -- introduction (Ch. 1), thermodynamics (Ch. 2), fluid mechanics (Ch. 7), and kinetics (Ch. 8); fuels -- coal, municipal solid waste, and other solid fuels (Ch. 4), liquid (Ch. 5) and gaseous (Ch. 6) fuels; and combustion devices -- fuel cells (Ch. 3), boilers (Ch. 4), Otto (Ch. 10), diesel (Ch. 11), and Wankel (Ch. 10) engines and gas turbines (Ch. 12). Although each topic could warrant a complete text on its own, the author addresses each of these major themes with reasonable thoroughness. Also, the book is well documented with a bibliography, references, a good index, and many helpful tables and appendices. In short, Applied Combustion does admirably fulfill the author`s goal for a wide engineering science introduction to the general subject of combustion.
Second Argonne theory institute on differentiation of computational approximations of functions.
Bischof, C.H.; Eberhard, P.; Hovland, P.D.
1998-10-09
A Theory Institute on ''Differentiation of Computational Approximations to Functions'' was held at Argonne National Laboratory on May 18--20, 1998. The institute was organized by Christian Bischof and Paul Hovland of the Mathematics and Computer Science Division at Argonne National Laboratory. The Theory Institute brought together 38 researchers from the US, Great Britain, France, and Germany. Mathematicians, computer scientists, physicists, and engineers from diverse disciplines discussed advances in automatic differentiation (AD) theory and software and described benefits from applying AD methods in application areas. These areas include fluid mechanics, structural engineering, optimization, meteorology, and computational mathematics for the solution of ordinary differential equations (ODEs) or differential algebraic equations (DAEs). This meeting was the fourth workshop dedicated to automatic differentiation. Earlier meetings were the 1991 SIAM conference in Breckenridge, Colorado; the first Argonne Theory Institute on computational differentiation in 1993; and the 1996 SIAM conference in Santa Fe, New Mexico. AD methods can be used whenever gradient information or higher-order derivative information must be computed. The problem is defined by a computer program (without gradient information) that is able to compute numerical values of some output variables for a given set of input variables. As a result of applying AD methods to this computer program, a new computer program is generated automatically to compute the derivatives of the output variables with respect to the input variables. This at first glance, astonishing fact can be easily understood by viewing the program from a compiler angle. A complicated computational sequence is split into a sequence of simple operations. Then, to compute the gradients, the chain rule of differentiation is applied successively to this sequence completely automatically. The resultant gradients are accurate up to roundoff
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System, Cluster, and Networking Summer Institute New Mexico Consortium and Los Alamos National Laboratory HOW TO APPLY Applications will be accepted JANUARY 5 - FEBRUARY 13, 2016 Computing and Information Technology undegraduate students are encouraged to apply. Must be a U.S. citizen. * Submit a current resume; * Offcial University Transcript (with spring courses posted and/or a copy of spring 2016 schedule) 3.0 GPA minimum; * One Letter of Recommendation from a Faculty Member; and * Letter of
Data-aware distributed scientific computing for big-data problems...
Office of Scientific and Technical Information (OSTI)
Country of Publication: United States Language: English Subject: Mathematics & Computing(97) Computer Science Word Cloud More Like This Full Text File size NAView Full Text View ...
Computational Science and Engineering
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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
Uncertainty quantification and multiscale mathematics. (Conference...
Office of Scientific and Technical Information (OSTI)
quantification and multiscale mathematics. Citation Details In-Document Search Title: Uncertainty quantification and multiscale mathematics. Authors: Trucano, Timothy Guy ...
Uncertainty quantification and multiscale mathematics. (Conference...
Office of Scientific and Technical Information (OSTI)
Uncertainty quantification and multiscale mathematics. Citation Details In-Document Search Title: Uncertainty quantification and multiscale mathematics. No abstract prepared. ...
Computing and Computational Sciences Directorate - Computer Science and
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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:
Lewis, Jennifer
2012-10-15
This scientific meeting focused on the legacy of Cathleen S. Morawetz and the impact that her scientific work on transonic flow and the non-linear wave equation has had in recent progress on different aspects of analysis for non-linear wave, kinetic and quantum transport problems associated to mathematical physics. These are areas where the elements of continuum, statistical and stochastic mechanics, and their interplay, have counterparts in the theory of existence, uniqueness and stability of the associated systems of equations and geometric constraints. It was a central event for the applied and computational analysis community focusing on Partial Differential Equations. The goal of the proposal was to honor Cathleen Morawetz, a highly successful woman in mathematics, while encouraging beginning researchers. The conference was successful in show casing the work of successful women, enhancing the visibility of women in the profession and providing role models for those just beginning their careers. The two-day conference included seven 45-minute lectures and one day of six 45-minute lectures, and a poster session for junior participants. The conference program included 19 distinguished speakers, 10 poster presentations, about 70 junior and senior participants and, of course, the participation of Cathleen Synge Morawetz. The conference celebrated Morawetz's paramount contributions to the theory of non-linear equations in gas dynamics and their impact in the current trends of nonlinear phenomena in mathematical physics, but also served as an awareness session of current women's contribution to mathematics.
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Developing Compute-efficient, Quality Models with LS-PrePost 3 on the TRACC Cluster Oct. ... with an emphasis on applying these capabilities to build computationally efficient models. ...
Sandian Named Fellow of the Society for Industrial and Applied...
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... Kolda and the other members of the 2015 class of SIAM fellows will be honored in August at the International Congress on Industrial and Applied Mathematics in Beijing. Read the ...
The implications of spatial locality on scientific computing...
Office of Scientific and Technical Information (OSTI)
Research Org: Sandia National Laboratories Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; BENCHMARKS; ...
Proceedings of the Computational Needs for the Next Generation...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
The attached papers from these experts highlight mathematical and computational problems relevant for potential power systems research. FINALCompNeedsProceedings2011.pdf (9.11 ...
A CLASS OF RECONSTRUCTED DISCONTINUOUS GALERKIN METHODS IN COMPUTATION...
Office of Scientific and Technical Information (OSTI)
... Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; ACCURACY; ALGORITHMS; COMPRESSIBLE FLOW; COMPUTERIZED ...
Proposal for grid computing for nuclear applications (Journal...
Office of Scientific and Technical Information (OSTI)
Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; COMPUTERIZED SIMULATION; GRIDS; MONTE CARLO METHOD; PROPOSALS Word Cloud ...
Scientific Computing at Los Alamos National Laboratory (Conference...
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States Research Org: Los Alamos National Laboratory (LANL) Sponsoring Org: DOELANL Country of Publication: United States Language: English Subject: Mathematics & Computing(97
CRITICAL ISSUES IN HIGH END COMPUTING - FINAL REPORT
Corones, James
2013-09-23
High-End computing (HEC) has been a driver for advances in science and engineering for the past four decades. Increasingly HEC has become a significant element in the national security, economic vitality, and competitiveness of the United States. Advances in HEC provide results that cut across traditional disciplinary and organizational boundaries. This program provides opportunities to share information about HEC systems and computational techniques across multiple disciplines and organizations through conferences and exhibitions of HEC advances held in Washington DC so that mission agency staff, scientists, and industry can come together with White House, Congressional and Legislative staff in an environment conducive to the sharing of technical information, accomplishments, goals, and plans. A common thread across this series of conferences is the understanding of computational science and applied mathematics techniques across a diverse set of application areas of interest to the Nation. The specific objectives of this program are: Program Objective 1. To provide opportunities to share information about advances in high-end computing systems and computational techniques between mission critical agencies, agency laboratories, academics, and industry. Program Objective 2. To gather pertinent data, address specific topics of wide interest to mission critical agencies. Program Objective 3. To promote a continuing discussion of critical issues in high-end computing. Program Objective 4.To provide a venue where a multidisciplinary scientific audience can discuss the difficulties applying computational science techniques to specific problems and can specify future research that, if successful, will eliminate these problems.
An Overview of High Performance Computing and Challenges for the Future
Google Tech Talks
2009-09-01
In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and lgorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder. We will focus on the redesign of software to fit multicore architectures. Speaker: Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research
New DOE Program Funds $20 Million for Mathematics Research | Department of
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy Program Funds $20 Million for Mathematics Research New DOE Program Funds $20 Million for Mathematics Research August 4, 2005 - 2:37pm Addthis WASHINGTON, DC - Under a new program funded by the Department of Energy's Office of Science, researchers will use mathematics to help solve problems such as the production of clean energy, pollution cleanup, manufacturing ever smaller computer chips, and making new "nanomaterials." Thirteen major research awards totaling $20 million
Engineering Physics and Mathematics Division progress report for period ending December 31, 1994
Sincovec, R.F.
1995-07-01
This report provides a record of the research activities of the Engineering Physics and Mathematics Division for the period January 1, 1993, through December 31, 1994. This report is the final archival record of the EPM Division. On October 1, 1994, ORELA was transferred to Physics Division and on January 1, 1995, the Engineering Physics and Mathematics Division and the Computer Applications Division reorganized to form the Computer Science and Mathematics Division and the Computational Physics and Engineering Division. Earlier reports in this series are identified on the previous pages, along with the progress reports describing ORNL`s research in the mathematical sciences prior to 1984 when those activities moved into the Engineering Physics and Mathematics Division.
Computing Frontier: Distributed Computing
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Computing Frontier: Distributed Computing and Facility Infrastructures Conveners: Kenneth Bloom 1 , Richard Gerber 2 1 Department of Physics and Astronomy, University of Nebraska-Lincoln 2 National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory 1.1 Introduction The field of particle physics has become increasingly reliant on large-scale computing resources to address the challenges of analyzing large datasets, completing specialized computations and
Computational Fluid Dynamics & Large-Scale Uncertainty Quantification...
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... (CFD) simulations and uncertainty analyses. The project developed new mathematical uncertainty quantification techniques and applied them, in combination with high-fidelity CFD ...
Browse by Discipline -- E-print Network Subject Pathways: Computer...
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... Alfaro, Manuel - Departamento de Matemticas, Universidad de Zaragoza Algebraic Number Theory Archives Applied Algebra Group at Linz Argonne National Laboratory, Mathematics and ...
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.
None
2011-10-06
The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained
None
2011-10-06
The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained
2010-03-24
The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing – from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has
Mathematical modeling of a Fermilab helium liquefier coldbox
Geynisman, M.G.; Walker, R.J.
1995-12-01
Fermilab Central Helium Liquefier (CHL) facility is operated 24 hours-a-day to supply 4.6{degrees}K for the Fermilab Tevatron superconducting proton-antiproton collider Ring and to recover warm return gases. The centerpieces of the CHL are two independent cold boxes rated at 4000 and 5400 liters/hour with LN{sub 2} precool. These coldboxes are Claude cycle and have identical heat exchangers trains, but different turbo-expanders. The Tevatron cryogenics demand for higher helium supply from CHL was the driving force to investigate an installation of an expansion engine in place of the Joule-Thompson valve. A mathematical model was developed to describe the thermo- and gas-dynamic processes for the equipment included in the helium coldbox. The model is based on a finite element approach, opposite to a global variables approach, thus providing for higher accuracy and conversion stability. Though the coefficients used in thermo- and gas-dynamic equations are unique for a given coldbox, the general approach, the equations, the methods of computations, and most of the subroutines written in FORTRAN can be readily applied to different coldboxes. The simulation results are compared against actual operating data to demonstrate applicability of the model.
Parallel Programming with MPI | Argonne Leadership Computing...
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Balaji, MCS Rajeev Thakur, MCS Ken Raffenetti, MCS Halim Amer, MCS Event Website: https:www.mcs.anl.gov%7Eraffenetpermalinksargonne16mpi.php The Mathematics and Computer ...
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Anderson-Cook, Christine Computational Physics and Applied Mathematics Information Science ... Bennett, Katrina Computational Physics and Applied Mathematics Computer and Computational ...
Castagnoli, G. )
1991-08-10
This paper reports that current conceptions of quantum mechanical computers inherit from conventional digital machines two apparently interacting features, machine imperfection and temporal development of the computational process. On account of machine imperfection, the process would become ideally reversible only in the limiting case of zero speed. Therefore the process is irreversible in practice and cannot be considered to be a fundamental quantum one. By giving up classical features and using a linear, reversible and non-sequential representation of the computational process - not realizable in classical machines - the process can be identified with the mathematical form of a quantum steady state. This form of steady quantum computation would seem to have an important bearing on the notion of cognition.
LANL scientists named SIAM Fellows for their contributions to mathematics
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LANL scientists named SIAM Fellows LANL scientists named SIAM Fellows for their contributions to mathematics James M. "Mac" Hyman, Alan S. Perelson, David H. Sharp and Burton B. "Burt" Wendroff are new Fellows of the Society for Industrial and Applied Mathematics. May 4, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience,
Engineering Physics and Mathematics Division progress report for period ending June 30, 1985
Not Available
1986-02-01
The report is divided into eight sections: (1) nuclear data measurements and evaluation; (2) systems analysis and shielding; (3) applied physics and fusion reactor analysis; (4) mathematical modeling and intelligent control; (5) reliability and human factors research; (6) applied risk and decision analysis; (7) information analysis and data management; and (8) mathematical sciences. Each section then consists of abstracts of presented or published papers. (WRF)
Extreme Scale Computing, Co-Design
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Information Science, Computing, Applied Math Extreme Scale Computing, Co-design Publications Publications Ramon Ravelo, Qi An, Timothy C. Germann, and Brad Lee Holian, ...
Applications for Postdoctoral Fellowship in Computational Science...
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Applications for Postdoctoral Fellowship in Computational Science at Berkeley Lab due November 26 October 15, 2012 by Francesca Verdier Researchers in computer science, applied ...
Research | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
Link to the ASCR Computer Science Web Page APPLIED MATHEMATICS The Applied Mathematics ... Link to the ASCR Applied Mathematics Web Page NEXT GENERATION NETWORKING FOR SCIENCE ...
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ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical browser that supports web standards, but its content is accessible to any browser. Concerns? Applied Research Center ARC Home Consortium News EH&S Reports print version ARC Resources Commercial Tenants ARC Brochure Library Conference Room Applied Research Center Applied Research Center front view Applied Research
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Cybersecurity through Real-Time Distributed Control Systems Kisner, Roger A ORNL; ... M ORNL REACTOR ANALYSIS AND VIRTUAL CONTROL ENVIRONMENT (RAVEN) FY12 REPORT Cristian ...
SCIENCE; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING...
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ZIRCONIUM ALLOYS; ZIRCONIUM BASE ALLOYS 360100* -- Metals & Alloys; 570000 -- Health & Safety Massive zirconium metal scrap can be handled, shipped, and stored with no...
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22 NM WAIDS: A PRODUCED WATER QUALITY AND INFRASTRUCTURE GIS DATABASE FOR NEW MEXICO OIL PRODUCERS Martha Cather; Robert Lee; Ibrahim Gundiler; Andrew Sung; Naomi Davidson; ...
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Samuel (1964) 35 Understanding seismic design criteria for Japanese nuclear power plants Park, Y.J.; Hofmayer, C.H. Brookhaven National Lab., Upton, NY (United States); ...
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the code qualification of piping systems Antaki, G.A. (1995) 113 Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 93 PC-1D ...
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Lutz, A.E.; Kee, R.J.; Grcar, J.F.; Rupley, F.M. Sandia National Labs., Livermore, CA (United States). Thermal and Plasma Processes Dept. (1997) 45 Last updated on Wednesday 15
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J.F.; Rupley, F.M. Sandia National Labs., Livermore, CA (United States). Thermal and Plasma Processes Dept. (1997) 53 PC-1D installation manual and user's guide Basore, P.A. ...
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J.F.; Rupley, F.M. Sandia National Labs., Livermore, CA (United States). Thermal and Plasma Processes Dept. (1997) 26 Review of zirconium-zircaloy pyrophoricity Cooper, T.D. ...
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ENERGY; LMFBR TYPE REACTORS; NUCLEAR POWER; PHYSICS; BREEDER REACTORS; CARBONACEOUS MATERIALS; DOCUMENT TYPES; ENERGY; ENERGY SOURCES; EPITHERMAL REACTORS; FAST REACTORS; FBR...
Mathematical modeling and computer simulation of processes in energy systems
Hanjalic, K.C. )
1990-01-01
This book is divided into the following chapters. Modeling techniques and tools (fundamental concepts of modeling); 2. Fluid flow, heat and mass transfer, chemical reactions, and combustion; 3. Processes in energy equipment and plant components (boilers, steam and gas turbines, IC engines, heat exchangers, pumps and compressors, nuclear reactors, steam generators and separators, energy transport equipment, energy convertors, etc.); 4. New thermal energy conversion technologies (MHD, coal gasification and liquefaction fluidized-bed combustion, pulse-combustors, multistage combustion, etc.); 5. Combined cycles and plants, cogeneration; 6. Dynamics of energy systems and their components; 7. Integrated approach to energy systems modeling, and 8. Application of modeling in energy expert systems.
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White, III (2002) 291 Ten Problems in Experimental ... strategic and technology planning for competitiveness Bray, ... 18 Communication of emergency public warnings: A social ...
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Dept. of Chemical Engineering; Yarbro, S.L. Los Alamos National Lab., NM (United States) (1997) 89 Demonstration of finite element simulations in MOOSE using crystallographic ...
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Including an examination of the Department of Energys position on quality management Bennett, C.T. (1994) 132 SMART BRIDGE: A tool for estimating the military load classification ...
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Including an examination of the Department of Energys position on quality management Bennett, C.T. (1994) 211 SMART BRIDGE: A tool for estimating the military load classification ...
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Rodriguez, Tamara S. (2009) 241 SMART BRIDGE: A tool for estimating the military load ... Smart bridge: a tool for estimating the military load classification of bridges Van ...
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and user's guide Basore, P.A. (1991) 70 SMART BRIDGE: A tool for estimating the military load classification of bridges using varying levels of information Van Groningen, ...
Bioinformatics Computing Consultant Position Available
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You can read more about the positions and apply at jobs.lbl.gov: Bioinformatics High Performance Computing Consultant (job number: 73194) and Software Developer for High...
New DOE Office of Science support for CAMERA to develop computational...
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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 ...
Computing and Computational Sciences Directorate - Information Technology
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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
New Mathematics Accurately Captures Liquids and Surfaces Moving...
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New Mathematics Accurately Captures Liquids and Surfaces Moving in Synergy New Mathematics Accurately Captures Liquids and Surfaces Moving in Synergy Berkeley Lab Mathematics ...
Introduction to computers: Reference guide
Ligon, F.V.
1995-04-01
The ``Introduction to Computers`` program establishes formal partnerships with local school districts and community-based organizations, introduces computer literacy to precollege students and their parents, and encourages students to pursue Scientific, Mathematical, Engineering, and Technical careers (SET). Hands-on assignments are given in each class, reinforcing the lesson taught. In addition, the program is designed to broaden the knowledge base of teachers in scientific/technical concepts, and Brookhaven National Laboratory continues to act as a liaison, offering educational outreach to diverse community organizations and groups. This manual contains the teacher`s lesson plans and the student documentation to this introduction to computer course.
Mathematical modeling to predict residential solid waste generation
Ojeda Benitez, Sara; Vega, Carolina Armijo de
2008-07-01
One of the challenges faced by waste management authorities is determining the amount of waste generated by households in order to establish waste management systems, as well as trying to charge rates compatible with the principle applied worldwide, and design a fair payment system for households according to the amount of residential solid waste (RSW) they generate. The goal of this research work was to establish mathematical models that correlate the generation of RSW per capita to the following variables: education, income per household, and number of residents. This work was based on data from a study on generation, quantification and composition of residential waste in a Mexican city in three stages. In order to define prediction models, five variables were identified and included in the model. For each waste sampling stage a different mathematical model was developed, in order to find the model that showed the best linear relation to predict residential solid waste generation. Later on, models to explore the combination of included variables and select those which showed a higher R{sup 2} were established. The tests applied were normality, multicolinearity and heteroskedasticity. Another model, formulated with four variables, was generated and the Durban-Watson test was applied to it. Finally, a general mathematical model is proposed to predict residential waste generation, which accounts for 51% of the total.
Present and Future Computing Requirements for PETSc
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and Future Computing Requirements for PETSc Jed Brown jedbrown@mcs.anl.gov Mathematics and Computer Science Division, Argonne National Laboratory Department of Computer Science, University of Colorado Boulder NERSC ASCR Requirements for 2017 2014-01-15 Extending PETSc's Hierarchically Nested Solvers ANL Lois C. McInnes, Barry Smith, Jed Brown, Satish Balay UChicago Matt Knepley IIT Hong Zhang LBL Mark Adams Linear solvers, nonlinear solvers, time integrators, optimization methods (merged TAO)
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computing, & computer science --Agent-based modeling --Applied mathematics --Artificial intelligence --Cloud computing --Computational differentiation --Geographic information ...
Downloads | Argonne National Laboratory
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... computing, & computer science --Agent-based modeling --Applied mathematics --Artificial intelligence --Cloud computing --Computational differentiation --Geographic information ...
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computing, & computer science --Agent-based modeling --Applied mathematics --Artificial intelligence --Cloud computing --Computational differentiation --Geographic information ...
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computing, & computer science --Agent-based modeling --Applied mathematics --Artificial intelligence --Cloud computing --Computational differentiation --Geographic information ...
DOE Fundamentals Handbook: Mathematics, Volume 1
Not Available
1992-06-01
The Mathematics Fundamentals Handbook was developed to assist nuclear facility operating contractors provide operators, maintenance personnel, and the technical staff with the necessary fundamentals training to ensure a basic understanding of mathematics and its application to facility operation. The handbook includes a review of introductory mathematics and the concepts and functional use of algebra, geometry, trigonometry, and calculus. Word problems, equations, calculations, and practical exercises that require the use of each of the mathematical concepts are also presented. This information will provide personnel with a foundation for understanding and performing basic mathematical calculations that are associated with various DOE nuclear facility operations.
DOE Fundamentals Handbook: Mathematics, Volume 2
Not Available
1992-06-01
The Mathematics Fundamentals Handbook was developed to assist nuclear facility operating contractors provide operators, maintenance personnel, and the technical staff with the necessary fundamentals training to ensure a basic understanding of mathematics and its application to facility operation. The handbook includes a review of introductory mathematics and the concepts and functional use of algebra, geometry, trigonometry, and calculus. Word problems, equations, calculations, and practical exercises that require the use of each of the mathematical concepts are also presented. This information will provide personnel with a foundation for understanding and performing basic mathematical calculations that are associated with various DOE nuclear facility operations.
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Compute nodes Compute nodes Click here to see more detailed hierachical map of the topology of a compute node. Last edited: 2015-03-30 20:55:24...
Mathematics and biology: The interface, challenges and opportunities
Levin, S.A. )
1992-06-01
The interface between mathematics and biology has long been a rich area of research, with mutual benefit to each supporting discipline. Traditional areas of investigation, such as population genetics, ecology, neurobiology, and 3-D reconstructions, have flourished, despite a rather meager environment for the funding of such work. In the past twenty years, the kind and scope of such interactions between mathematicians and biologists have changed dramatically, reaching out to encompass areas of both biology and mathematics that previously had not benefited. At the same time, with the closer integration of theory and experiment, and the increased reliance on high-speed computation, the costs of such research grew, though not the opportunities for funding. The perception became reinforced, both within the research community and at funding agencies, that although these interactions were expanding, they were not doing so at the rate necessary to meet the opportunities and needs. A workshop was held in Washington, DC, between April 28 and May 3, 1990 which drew together a broadly based group of researchers to synthesize conclusions from a group of working papers and extended discussions. The result is the report presented here, which we hope will provide a guide and stimulus to research in mathematical and computational biology for at least the next decade. The report identifies a number of grand challenges, representing a broad consensus among the participants.
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undergraduate summer institute http:isti.lanl.gov (Educational Prog) 2016 Computer System, Cluster, and Networking Summer Institute Purpose The Computer System,...
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(1868-1942) JSTOR Contains the backfiles of many core academic journals Zentralblatt MATH The ZBMATH Online Database covers 1826-present Organizations American Institute of...
Using Mira to Design Cleaner Engines | Argonne Leadership Computing...
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Using Mira to Design Cleaner Engines Event Sponsor: Mathematics and Computing Science - LANS Seminar Start Date: Oct 28 2015 - 3:00pm BuildingRoom: Building 240Room 4301...
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Applied ScienceTechniques Print The ALS is an excellent incubator of new scientific techniques and instrumentation. Many of the technical advances that make the ALS a world-class...
New DOE Office of Science support for CAMERA to develop computational
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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
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Information From here you can find information relating to: Obtaining the right computer accounts. Using NIC terminals. Using BooNE's Computing Resources, including: Choosing your desktop. Kerberos. AFS. Printing. Recommended applications for various common tasks. Running CPU- or IO-intensive programs (batch jobs) Commonly encountered problems Computing support within BooNE Bringing a computer to FNAL, or purchasing a new one. Laptops. The Computer Security Program Plan for MiniBooNE The
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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
Computational Modeling | Bioenergy | NREL
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Computational Modeling NREL uses computational modeling to increase the efficiency of biomass conversion by rational design using multiscale modeling, applying theoretical approaches, and testing scientific hypotheses. model of enzymes wrapping on cellulose; colorful circular structures entwined through blue strands Cellulosomes are complexes of protein scaffolds and enzymes that are highly effective in decomposing biomass. This is a snapshot of a coarse-grain model of complex cellulosome
Mathematical models of cocurrent spray drying
Negiz, A.; Lagergren, E.S.; Cinar, A.
1995-10-01
A steady state mathematical model for a cocurrent spray dryer is developed. The model includes the mass, momentum, and energy balances for a single drying droplet as well as the total energy and mass balances of the drying medium. A log normal droplet size distribution is assumed to hold at the exit of the twin-fluid atomizer located at the top of the drying chamber. The discretization of this log normal distribution with a certain number of bins yields a system of nonlinear coupled first-order differential equations as a function of the axial distance of the drying chamber. This system of equations is used to compute the axial changes in droplet diameter, density, velocity, moisture, and temperature for the droplets at each representative bin. Furthermore, the distributions of important process parameters such as droplet moisture content, diameter, density, and temperature are also obtainable along the length of the chamber. On the basis of the developed model, a constrained nonlinear optimization problem is solved, where the exit particle moisture content is minimized with respect to the process inputs subjected to a fixed mean particle diameter at the chamber exit. Response surface studies based on empirical models are also performed to illustrate the effectiveness of these techniques in achieving the optimal solution when an a priori model is not available. The structure of empirical models obtained from the model is shown to be in agreement with the structure of the empirical models obtained from the experimental studies.
Apply for the Parallel Computing Summer Research Internship
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and applications development Program Co-Lead Robert (Bob) Robey Email Program Co-Lead Gabriel Rockefeller Email Program Co-Lead Hai Ah Nam Email Professional Staff Assistant...
Name Center for Applied Scientific Computing month day, 1998
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... transfers to Archive over dual Jumbo Frame Gb- Enet from each Login node *25 MBs POSIX serial IO to any file system *Lustre file system with 4.48 GBs delivered parallel IO ...
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Apply for Beamtime Apply for Beamtime Print Friday, 28 August 2009 13:23 Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn
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Cluster-Image TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computing Resources The TRACC Computational Clusters With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD
Applied Cathode Enhancement and
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Applied Cathode Enhancement and Robustness Technologies (ACERT) Team Our project team, a part of Los Alamos National Laboratory (LANL) comprised of world leading experts from fields of accelerator design & testing, chemical synthesis of nanomaterials (quantum dots), and shielding application of nanomaterials (graphene and other atomically-thin sheets). Our goal is to develop and demonstrate 'designer' cold cathode electron sources with tunable parameters (bandgap, efficiency, optical
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1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world innovations. Contact Us Group Leader (acting) John George Email Deputy Group Leader Larry Schultz Email Group Office (505) 665-2545 Email QkarD Quantum key distribution technology could ensure truly secure commerce, banking, communications and data transfer. Read more... A history of excellence in the development and use of
Yuri Alexeev | Argonne Leadership Computing Facility
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Yuri Alexeev Assistant Computational Scientist Yury Alekseev Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1126 Argonne IL, 60439 630-252-0157 yuri@alcf.anl.gov Yuri Alexeev is an Assistant Computational Scientist at the Argonne Leadership Computing Facility where he applies his skills, knowledge and experience for using and enabling computational methods in chemistry and biology for high-performance computing on next-generation high-performance computers. Yuri is
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computer security Computer Security All JLF participants must fully comply with all LLNL computer security regulations and procedures. A laptop entering or leaving B-174 for the sole use by a US citizen and so configured, and requiring no IP address, need not be registered for use in the JLF. By September 2009, it is expected that computers for use by Foreign National Investigators will have no special provisions. Notify maricle1@llnl.gov of all other computers entering, leaving, or being moved
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Compute Nodes Compute Nodes Quad CoreAMDOpteronprocessor Compute Node Configuration 9,572 nodes 1 quad-core AMD 'Budapest' 2.3 GHz processor per node 4 cores per node (38,288 total cores) 8 GB DDR3 800 MHz memory per node Peak Gflop rate 9.2 Gflops/core 36.8 Gflops/node 352 Tflops for the entire machine Each core has their own L1 and L2 caches, with 64 KB and 512KB respectively 2 MB L3 cache shared among the 4 cores Compute Node Software By default the compute nodes run a restricted low-overhead
Vitali Morozov | Argonne Leadership Computing Facility
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Vitali Morozov Principal Application Performance Engineer Vitali Morozov Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1127 Argonne, IL 60439 630 252-7068 morozov@anl.gov Vitali Morozov is a Principal Application Performance Engineer at the ALCF. He received his B.S. in Mathematics from Novosibirsk State University, and a Ph.D. in Computer Science from Ershov's Institute for Informatics Systems, Novosibirsk, Russia. At Argonne since 2001, he has been working on computer
ACM TOMS replicated computational results initiative
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Heroux, Michael Allen
2015-06-03
In this study, the scientific community relies on the peer review process for assuring the quality of published material, the goal of which is to build a body of work we can trust. Computational journals such as The ACM Transactions on Mathematical Software (TOMS) use this process for rigorously promoting the clarity and completeness of content, and citation of prior work. At the same time, it is unusual to independently confirm computational results.
Mark Hereld | Argonne Leadership Computing Facility
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Hereld Manager, Visualization and Data Analysis Mark Hereld Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 4139 Argonne, IL 60439 630-252-4170 hereld@mcs.anl.gov Mark Hereld is the ALCF's Visualization and Data Analysis Manager. He is also a member of the research staff in Argonne's Mathematics and Computer Science Division and a Senior Fellow of the Computation Institute with a joint appointment at the University of Chicago. His work in understanding simulation on future
ACM TOMS replicated computational results initiative
Heroux, Michael Allen
2015-06-03
In this study, the scientific community relies on the peer review process for assuring the quality of published material, the goal of which is to build a body of work we can trust. Computational journals such as The ACM Transactions on Mathematical Software (TOMS) use this process for rigorously promoting the clarity and completeness of content, and citation of prior work. At the same time, it is unusual to independently confirm computational results.
ASCR NERSC Requirement presentation.pptx
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... * Advanced linear algebra * Optimization algorithms * Joint Applied Mathematics-Computer Science Institutes * Mathematics for the analysis of extremely large datasets * ...
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Biosciences Biosecurity Modeling of viral disease dynamics Epidemiology modeling Computational Physics and Applied Mathematics Mathematics Monte Carlo methods Discrete event ...
Alchorn, A L
2003-04-04
't improve another 10 orders of magnitude in the next 50 years. For years I have heard talk of hitting the physical limits of Moore's Law, but new technologies will take us into the next phase of computer processing power such as 3-D chips, molecular computing, quantum computing, and more. Big computers are icons or symbols of the culture and larger infrastructure that exists at LLNL to guide scientific discovery and engineering development. We have dealt with balance issues for 50 years and will continue to do so in our quest for a digital proxy of the properties of matter at extremely high temperatures and pressures. I believe that the next big computational win will be the merger of high-performance computing with information management. We already create terabytes--soon to be petabytes--of data. Efficiently storing, finding, visualizing and extracting data and turning that into knowledge which aids decision-making and scientific discovery is an exciting challenge. In the meantime, please enjoy this retrospective on computational physics, computer science, advanced software technologies, and applied mathematics performed by programs and researchers at LLNL during 2002. It offers a glimpse into the stimulating world of computational science in support of the national missions and homeland defense.
A novel mathematical model for controllable near-field electrospinning
Ru, Changhai E-mail: luojun@shu.edu.cn; Robotics and Microsystems Center, Soochow University, Suzhou 215021 ; Chen, Jie; Shao, Zhushuai; Pang, Ming; Luo, Jun E-mail: luojun@shu.edu.cn
2014-01-15
Near-field electrospinning (NFES) had better controllability than conventional electrospinning. However, due to the lack of guidance of theoretical model, precise deposition of micro/nano fibers could only accomplished by experience. To analyze the behavior of charged jet in NFES using mathematical model, the momentum balance equation was simplified and a new expression between jet cross-sectional radius and axial position was derived. Using this new expression and mass conservation equation, expressions for jet cross-sectional radius and velocity were derived in terms of axial position and initial jet acceleration in the form of exponential functions. Based on Slender-body theory and Giesekus model, a quadratic equation for initial jet acceleration was acquired. With the proposed model, it was able to accurately predict the diameter and velocity of polymer fibers in NFES, and mathematical analysis rather than experimental methods could be applied to study the effects of the process parameters in NFES. Moreover, the movement velocity of the collector stage can be regulated by mathematical model rather than experience. Therefore, the model proposed in this paper had important guiding significance to precise deposition of polymer fibers.
Waggoner, L.O.
1998-02-05
The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.
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Apply for Beamtime Print Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn more about the three different types of
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Apply for Beamtime Print Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn more about the three different types of
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Filter Results Filter by Subject mathematics and computing (2) applied mathematics (1) big data (1) computational science (1) computer science (1) condensed matter physics, ...
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DesignForward FastForward CAL Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Exascale Computing Exascale Computing Moving forward into the exascale era, NERSC users place will place increased demands on NERSC computational facilities. Users will be facing increased complexity in the memory subsystem and node architecture. System designs and programming models will have to evolve to face these new challenges. NERSC staff are active in current initiatives addressing
SC e-journals, Computer Science
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Computer Science ACM Letters on Programming Languages and Systems (LOPLAS) ACM Transactions on Applied Perception (TAP) ACM Transactions on Architecture and Code Optimization ...
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Cite Seer Department of Energy provided open access science research citations in chemistry, physics, materials, engineering, and computer science IEEE Xplore Full text...
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low-overhead operating system optimized for high performance computing called "Cray Linux Environment" (CLE). This OS supports only a limited number of system calls and UNIX...
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... Advanced Materials Laboratory Center for Integrated Nanotechnologies Combustion Research Facility Computational Science Research Institute Joint BioEnergy Institute About EC News ...
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Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road WheelTrack Sprocket Integrated Mathematical Modeling Software ...
Conference on Non-linear Phenomena in Mathematical Physics: Dedicated...
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current trends of nonlinear phenomena in mathematical physics, but also served as an awareness session of current womens contribution to mathematics. less Authors:...
SCIENCE ON SATURDAY- "Disastrous Equations: The Role of Mathematics...
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SCIENCE ON SATURDAY- "Disastrous Equations: The Role of Mathematics in Understanding Tsunami" Professor J. Douglas Wright, Associate Professor Department of Mathematics, Drexel ...
Computing and Computational Sciences Directorate - Contacts
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Home About Us Contacts Jeff Nichols Associate Laboratory Director Computing and Computational Sciences Becky Verastegui Directorate Operations Manager Computing and...
ORISE: Applied health physics projects
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Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support ...
Extreme Scale Computing, Co-design
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Information Science, Computing, Applied Math » Extreme Scale Computing, Co-design Extreme Scale Computing, Co-design Computational co-design may facilitate revolutionary designs in the next generation of supercomputers. Get Expertise Tim Germann Physics and Chemistry of Materials Email Allen McPherson Energy and Infrastructure Analysis Email Turab Lookman Physics and Condensed Matter and Complex Systems Email Computational co-design involves developing the interacting components of a
Impact analysis on a massively parallel computer
Zacharia, T.; Aramayo, G.A.
1994-06-01
Advanced mathematical techniques and computer simulation play a major role in evaluating and enhancing the design of beverage cans, industrial, and transportation containers for improved performance. Numerical models are used to evaluate the impact requirements of containers used by the Department of Energy (DOE) for transporting radioactive materials. Many of these models are highly compute-intensive. An analysis may require several hours of computational time on current supercomputers despite the simplicity of the models being studied. As computer simulations and materials databases grow in complexity, massively parallel computers have become important tools. Massively parallel computational research at the Oak Ridge National Laboratory (ORNL) and its application to the impact analysis of shipping containers is briefly described in this paper.
Mathematical and Numerical Analyses of Peridynamics for Multiscale Materials Modeling
Du, Qiang
2014-11-12
generation atomistic-to-continuum multiscale simulations. In addition, a rigorous studyof nite element discretizations of peridynamics will be considered. Using the fact that peridynamics is spatially derivative free, we will also characterize the space of admissible peridynamic solutions and carry out systematic analyses of the models, in particular rigorously showing how peridynamics encompasses fracture and other failure phenomena. Additional aspects of the project include the mathematical and numerical analysis of peridynamics applied to stochastic peridynamics models. In summary, the project will make feasible mathematically consistent multiscale models for the analysis and design of advanced materials.
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Nodes Quad CoreAMDOpteronprocessor Compute Node Configuration 9,572 nodes 1 quad-core AMD 'Budapest' 2.3 GHz processor per node 4 cores per node (38,288 total cores) 8 GB...
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Computing Exascale Computing CoDEx Project: A Hardware/Software Codesign Environment for the Exascale Era The next decade will see a rapid evolution of HPC node architectures as power and cooling constraints are limiting increases in microprocessor clock speeds and constraining data movement. Applications and algorithms will need to change and adapt as node architectures evolve. A key element of the strategy as we move forward is the co-design of applications, architectures and programming
Lincoln, Don
2015-07-28
The LHC is the world’s highest energy particle accelerator and scientists use it to record an unprecedented amount of data. This data is recorded in electronic format and it requires an enormous computational infrastructure to convert the raw data into conclusions about the fundamental rules that govern matter. In this video, Fermilab’s Dr. Don Lincoln gives us a sense of just how much data is involved and the incredible computer resources that makes it all possible.
Climate Modeling using High-Performance Computing
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.
MULTISCALE MATHEMATICS FOR BIOMASS CONVERSION TO RENEWABLE HYDROGEN
Vlachos, Dionisios; Plechac, Petr; Katsoulakis, Markos
2013-09-05
The overall objective of this project is to develop multiscale models for understanding and eventually designing complex processes for renewables. To the best of our knowledge, our work is the first attempt at modeling complex reacting systems, whose performance relies on underlying multiscale mathematics. Our specific application lies at the heart of biofuels initiatives of DOE and entails modeling of catalytic systems, to enable economic, environmentally benign, and efficient conversion of biomass into either hydrogen or valuable chemicals. Specific goals include: (i) Development of rigorous spatio-temporal coarse-grained kinetic Monte Carlo (KMC) mathematics and simulation for microscopic processes encountered in biomass transformation. (ii) Development of hybrid multiscale simulation that links stochastic simulation to a deterministic partial differential equation (PDE) model for an entire reactor. (iii) Development of hybrid multiscale simulation that links KMC simulation with quantum density functional theory (DFT) calculations. (iv) Development of parallelization of models of (i)-(iii) to take advantage of Petaflop computing and enable real world applications of complex, multiscale models. In this NCE period, we continued addressing these objectives and completed the proposed work. Main initiatives, key results, and activities are outlined.
Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks
Ziaul Huque
2007-08-31
This is the final technical report for the project titled 'Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks'. The aim of the project was to develop an efficient chemistry model for combustion simulations. The reduced chemistry model was developed mathematically without the need of having extensive knowledge of the chemistry involved. To aid in the development of the model, Neural Networks (NN) was used via a new network topology known as Non-linear Principal Components Analysis (NPCA). A commonly used Multilayer Perceptron Neural Network (MLP-NN) was modified to implement NPCA-NN. The training rate of NPCA-NN was improved with the GEneralized Regression Neural Network (GRNN) based on kernel smoothing techniques. Kernel smoothing provides a simple way of finding structure in data set without the imposition of a parametric model. The trajectory data of the reaction mechanism was generated based on the optimization techniques of genetic algorithm (GA). The NPCA-NN algorithm was then used for the reduction of Dimethyl Ether (DME) mechanism. DME is a recently discovered fuel made from natural gas, (and other feedstock such as coal, biomass, and urban wastes) which can be used in compression ignition engines as a substitute for diesel. An in-house two-dimensional Computational Fluid Dynamics (CFD) code was developed based on Meshfree technique and time marching solution algorithm. The project also provided valuable research experience to two graduate students.
Goudreau, G.L.
1993-03-01
The Computational Mechanics thrust area sponsors research into the underlying solid, structural and fluid mechanics and heat transfer necessary for the development of state-of-the-art general purpose computational software. The scale of computational capability spans office workstations, departmental computer servers, and Cray-class supercomputers. The DYNA, NIKE, and TOPAZ codes have achieved world fame through our broad collaborators program, in addition to their strong support of on-going Lawrence Livermore National Laboratory (LLNL) programs. Several technology transfer initiatives have been based on these established codes, teaming LLNL analysts and researchers with counterparts in industry, extending code capability to specific industrial interests of casting, metalforming, and automobile crash dynamics. The next-generation solid/structural mechanics code, ParaDyn, is targeted toward massively parallel computers, which will extend performance from gigaflop to teraflop power. Our work for FY-92 is described in the following eight articles: (1) Solution Strategies: New Approaches for Strongly Nonlinear Quasistatic Problems Using DYNA3D; (2) Enhanced Enforcement of Mechanical Contact: The Method of Augmented Lagrangians; (3) ParaDyn: New Generation Solid/Structural Mechanics Codes for Massively Parallel Processors; (4) Composite Damage Modeling; (5) HYDRA: A Parallel/Vector Flow Solver for Three-Dimensional, Transient, Incompressible Viscous How; (6) Development and Testing of the TRIM3D Radiation Heat Transfer Code; (7) A Methodology for Calculating the Seismic Response of Critical Structures; and (8) Reinforced Concrete Damage Modeling.
Raboin, P J
1998-01-01
The Computational Mechanics thrust area is a vital and growing facet of the Mechanical Engineering Department at Lawrence Livermore National Laboratory (LLNL). This work supports the development of computational analysis tools in the areas of structural mechanics and heat transfer. Over 75 analysts depend on thrust area-supported software running on a variety of computing platforms to meet the demands of LLNL programs. Interactions with the Department of Defense (DOD) High Performance Computing and Modernization Program and the Defense Special Weapons Agency are of special importance as they support our ParaDyn project in its development of new parallel capabilities for DYNA3D. Working with DOD customers has been invaluable to driving this technology in directions mutually beneficial to the Department of Energy. Other projects associated with the Computational Mechanics thrust area include work with the Partnership for a New Generation Vehicle (PNGV) for ''Springback Predictability'' and with the Federal Aviation Administration (FAA) for the ''Development of Methodologies for Evaluating Containment and Mitigation of Uncontained Engine Debris.'' In this report for FY-97, there are five articles detailing three code development activities and two projects that synthesized new code capabilities with new analytic research in damage/failure and biomechanics. The article this year are: (1) Energy- and Momentum-Conserving Rigid-Body Contact for NIKE3D and DYNA3D; (2) Computational Modeling of Prosthetics: A New Approach to Implant Design; (3) Characterization of Laser-Induced Mechanical Failure Damage of Optical Components; (4) Parallel Algorithm Research for Solid Mechanics Applications Using Finite Element Analysis; and (5) An Accurate One-Step Elasto-Plasticity Algorithm for Shell Elements in DYNA3D.
Applied Optoelectronics | Open Energy Information
optical semiconductor devices, packaged optical components, optical subsystems, laser transmitters, and fiber optic transceivers. References: Applied Optoelectronics1...
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Resources This page is the repository for sundry items of information relevant to general computing on BooNE. If you have a question or problem that isn't answered here, or a suggestion for improving this page or the information on it, please mail boone-computing@fnal.gov and we'll do our best to address any issues. Note about this page Some links on this page point to www.everything2.com, and are meant to give an idea about a concept or thing without necessarily wading through a whole website
A Computational Model for the Identification of Biochemical Pathways in the Krebs Cycle
Oliveira, Joseph S.; Bailey, Colin G.; Jones-Oliveira, Janet B.; Dixon, David A.; Gull, Dean W.; Chandler, Mary L.
2003-03-01
We have applied an algorithmic methodology which provably decomposes any complex network into a complete family of principal subcircuits to study the minimal circuits that describe the Krebs cycle. Every operational behavior that the network is capable of exhibiting can be represented by some combination of these principal subcircuits and this computational decomposition is linearly efficient. We have developed a computational model that can be applied to biochemical reaction systems which accurately renders pathways of such reactions via directed hypergraphs (Petri nets). We have applied the model to the citric acid cycle (Krebs cycle). The Krebs cycle, which oxidizes the acetyl group of acetyl CoA to CO2 and reduces NAD and FAD to NADH and FADH2 is a complex interacting set of nine subreaction networks. The Krebs cycle was selected because of its familiarity to the biological community and because it exhibits enough complexity to be interesting in order to introduce this novel analytic approach. This study validates the algorithmic methodology for the identification of significant biochemical signaling subcircuits, based solely upon the mathematical model and not upon prior biological knowledge. The utility of the algebraic-combinatorial model for identifying the complete set of biochemical subcircuits as a data set is demonstrated for this important metabolic process.
Computational Methods for Analyzing Fluid Flow Dynamics from Digital Imagery
Luttman, A.
2012-03-30
The main goal (long term) of this work is to perform computational dynamics analysis and quantify uncertainty from vector fields computed directly from measured data. Global analysis based on observed spatiotemporal evolution is performed by objective function based on expected physics and informed scientific priors, variational optimization to compute vector fields from measured data, and transport analysis proceeding with observations and priors. A mathematical formulation for computing flow fields is set up for computing the minimizer for the problem. An application to oceanic flow based on sea surface temperature is presented.
Gustafson, K.
1994-12-31
By means of the author`s earlier theory of antieigenvalues and antieigenvectors, a new computational approach to iterative methods is presented. This enables an explicit trigonometric understanding of iterative convergence and provides new insights into the sharpness of error bounds. Direct applications to Gradient descent, Conjugate gradient, GCR(k), Orthomin, CGN, GMRES, CGS, and other matrix iterative schemes will be given.
Advanced Scientific Computing Research
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Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, ... The DOE Office of Science's Advanced Scientific Computing Research (ASCR) program ...
Theory, Simulation, and Computation
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Computer, Computational, and Statistical Sciences (CCS) Division is an international ... and statistics The deployment and integration of computational technology, ...
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Unofficial transcripts are acceptable. If transcripts are not in English, provide a translation. If grades are not in the U.S.-traditional lettered (A,B,C), or GPA (out of 4.0)...
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JLab --- Accelerator Controls CAD CDEV CODA Computer Center High Performance Computing Scientific Computing JLab Computer Silo maintained by webmaster@jlab.org...
Argonne's Laboratory computing center - 2007 annual report.
Bair, R.; Pieper, G. W.
2008-05-28
Argonne National Laboratory founded the Laboratory Computing Resource Center (LCRC) in the spring of 2002 to help meet pressing program needs for computational modeling, simulation, and analysis. The guiding mission is to provide critical computing resources that accelerate the development of high-performance computing expertise, applications, and computations to meet the Laboratory's challenging science and engineering missions. In September 2002 the LCRC deployed a 350-node computing cluster from Linux NetworX to address Laboratory needs for mid-range supercomputing. This cluster, named 'Jazz', achieved over a teraflop of computing power (1012 floating-point calculations per second) on standard tests, making it the Laboratory's first terascale computing system and one of the 50 fastest computers in the world at the time. Jazz was made available to early users in November 2002 while the system was undergoing development and configuration. In April 2003, Jazz was officially made available for production operation. Since then, the Jazz user community has grown steadily. By the end of fiscal year 2007, there were over 60 active projects representing a wide cross-section of Laboratory expertise, including work in biosciences, chemistry, climate, computer science, engineering applications, environmental science, geoscience, information science, materials science, mathematics, nanoscience, nuclear engineering, and physics. Most important, many projects have achieved results that would have been unobtainable without such a computing resource. The LCRC continues to foster growth in the computational science and engineering capability and quality at the Laboratory. Specific goals include expansion of the use of Jazz to new disciplines and Laboratory initiatives, teaming with Laboratory infrastructure providers to offer more scientific data management capabilities, expanding Argonne staff use of national computing facilities, and improving the scientific reach and
Idaho Science, Technology, Engineering and Mathematics Overview
2011-01-01
Idaho National Laboratory has been instrumental in establishing the Idaho Science, Technology, Engineering and Mathematics initiative -- i-STEM, which brings together industry, educators, government and other partners to provide K-12 teachers with support, materials and opportunities to improve STEM instruction and increase student interest in technical careers. You can learn more about INL's education programs at http://www.facebook.com/idahonationallaboratory.
Idaho Science, Technology, Engineering and Mathematics Overview
None
2013-05-28
Idaho National Laboratory has been instrumental in establishing the Idaho Science, Technology, Engineering and Mathematics initiative -- i-STEM, which brings together industry, educators, government and other partners to provide K-12 teachers with support, materials and opportunities to improve STEM instruction and increase student interest in technical careers. You can learn more about INL's education programs at http://www.facebook.com/idahonationallaboratory.
Westbrook, C K; Mizobuchi, Y; Poinsot, T J; Smith, P J; Warnatz, J
2004-08-26
Progress in the field of computational combustion over the past 50 years is reviewed. Particular attention is given to those classes of models that are common to most system modeling efforts, including fluid dynamics, chemical kinetics, liquid sprays, and turbulent flame models. The developments in combustion modeling are placed into the time-dependent context of the accompanying exponential growth in computer capabilities and Moore's Law. Superimposed on this steady growth, the occasional sudden advances in modeling capabilities are identified and their impacts are discussed. Integration of submodels into system models for spark ignition, diesel and homogeneous charge, compression ignition engines, surface and catalytic combustion, pulse combustion, and detonations are described. Finally, the current state of combustion modeling is illustrated by descriptions of a very large jet lifted 3D turbulent hydrogen flame with direct numerical simulation and 3D large eddy simulations of practical gas burner combustion devices.
Post, R.F.
1958-11-11
An electronic computer circuit is described for producing an output voltage proportional to the product or quotient of tbe voltages of a pair of input signals. ln essence, the disclosed invention provides a computer having two channels adapted to receive separate input signals and each having amplifiers with like fixed amplification factors and like negatlve feedback amplifiers. One of the channels receives a constant signal for comparison purposes, whereby a difference signal is produced to control the amplification factors of the variable feedback amplifiers. The output of the other channel is thereby proportional to the product or quotient of input signals depending upon the relation of input to fixed signals in the first mentioned channel.
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Events Computing Events Spotlighting the most advanced scientific and technical applications in the world! Featuring exhibits of the latest and greatest technologies from industry, academia and government research organizations; many of these technologies will be seen for the first time in Denver. Supercomputing Conference 13 Denver, Colorado November 17-22, 2013 Spotlighting the most advanced scientific and technical applications in the world, SC13 will bring together the international
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- Joint International Conference on Mathematics and Computation (M&C), Supercomputing ... Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science & Engineering ...
CASL-U-2015-0159-000 The Implementation
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- Joint International Conference on Mathematics and Computation (M&C), Supercomputing ... Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science & Engineering ...
Applied Materials | Argonne National Laboratory
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to apply the resulting insights to the design, synthesis, and testing of materials with improved properties and performance, including accident-tolerant and higher burn-up fuels. ...
Applied Materials | Open Energy Information
Jump to: navigation, search Name: Applied Materials Address: 3050 Bowers Avenue Place: Santa Clara, California Zip: 95054 Sector: Solar Website: www.appliedmaterials.com...
Computational Particle Dynamic Simulations on Multicore Processors (CPDMu) Final Report ?? Phase I
Mark S. Schmalz
2011-07-24
Statement of Problem - Department of Energy has many legacy codes for simulation of computational particle dynamics and computational fluid dynamics applications that are designed to run on sequential processors and are not easily parallelized. Emerging high-performance computing architectures employ massively parallel multicore architectures (e.g., graphics processing units) to increase throughput. Parallelization of legacy simulation codes is a high priority, to achieve compatibility, efficiency, accuracy, and extensibility. General Statement of Solution - A legacy simulation application designed for implementation on mainly-sequential processors has been represented as a graph G. Mathematical transformations, applied to G, produce a graph representation {und G} for a high-performance architecture. Key computational and data movement kernels of the application were analyzed/optimized for parallel execution using the mapping G {yields} {und G}, which can be performed semi-automatically. This approach is widely applicable to many types of high-performance computing systems, such as graphics processing units or clusters comprised of nodes that contain one or more such units. Phase I Accomplishments - Phase I research decomposed/profiled computational particle dynamics simulation code for rocket fuel combustion into low and high computational cost regions (respectively, mainly sequential and mainly parallel kernels), with analysis of space and time complexity. Using the research team's expertise in algorithm-to-architecture mappings, the high-cost kernels were transformed, parallelized, and implemented on Nvidia Fermi GPUs. Measured speedups (GPU with respect to single-core CPU) were approximately 20-32X for realistic model parameters, without final optimization. Error analysis showed no loss of computational accuracy. Commercial Applications and Other Benefits - The proposed research will constitute a breakthrough in solution of problems related to efficient
Mathematical modeling of silica deposition in Tongonan-I reinjection wells, Philippines
Malate, R.C.M.; O`Sullivan, M.J.
1993-10-01
Mathematical models of silica deposition are derived using the method of characteristics for the problem of variable rate injection into a well producing radially symmetric flow. Solutions are developed using the first order rate equation of silica deposition suggested by Rimstidt and Barnes (1980). The changes in porosity and permeability resulting from deposition are included in the models. The models developed are successfully applied in simulating the changes in injection capacity in some of the reinjection wells in Tongonan geothermal field, Philippines.
Artificial intelligence technologies applied to terrain analysis
Wright, J.C. ); Powell, D.R. )
1990-01-01
The US Army Training and Doctrine Command is currently developing, in cooperation with Los Alamos National Laboratory, a Corps level combat simulation to support military analytical studies. This model emphasizes high resolution modeling of the command and control processes, with particular attention to architectural considerations that enable extension of the model. A planned future extension is the inclusion of an computer based planning capability for command echelons that can be dynamical invoked during the execution of then model. Command and control is the process through which the activities of military forces are directed, coordinated, and controlled to achieve the stated mission. To perform command and control the commander must understand the mission, perform terrain analysis, understand his own situation and capabilities as well as the enemy situation and his probable actions. To support computer based planning, data structures must be available to support the computer's ability to understand'' the mission, terrain, own capabilities, and enemy situation. The availability of digitized terrain makes it feasible to apply artificial intelligence technologies to emulate the terrain analysis process, producing data structures for uses in planning. The work derived thus for to support the understanding of terrain is the topic of this paper. 13 refs., 5 figs., 6 tabs.
Venkataraman, R.; Nakazawa, D.
2012-07-01
Mathematical methods are being increasingly employed in the efficiency calibration of gamma based systems for non-destructive assay (NDA) of radioactive waste and for the estimation of the Total Measurement Uncertainty (TMU). Recently, ASTM (American Society for Testing and Materials) released a standard guide for use of modeling passive gamma measurements. This is a testimony to the common use and increasing acceptance of mathematical techniques in the calibration and characterization of NDA systems. Mathematical methods offer flexibility and cost savings in terms of rapidly incorporating calibrations for multiple container types, geometries, and matrix types in a new waste assay system or a system that may already be operational. Mathematical methods are also useful in modeling heterogeneous matrices and non-uniform activity distributions. In compliance with good practice, if a computational method is used in waste assay (or in any other radiological application), it must be validated or benchmarked using representative measurements. In this paper, applications involving mathematical methods in gamma based NDA systems are discussed with several examples. The application examples are from NDA systems that were recently calibrated and performance tested. Measurement based verification results are presented. Mathematical methods play an important role in the efficiency calibration of gamma based NDA systems. This is especially true when the measurement program involves a wide variety of complex item geometries and matrix combinations for which the development of physical standards may be impractical. Mathematical methods offer a cost effective means to perform TMU campaigns. Good practice demands that all mathematical estimates be benchmarked and validated using representative sets of measurements. (authors)
Awards | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced...
High performance computing and communications: Advancing the frontiers of information technology
1997-12-31
This report, which supplements the President`s Fiscal Year 1997 Budget, describes the interagency High Performance Computing and Communications (HPCC) Program. The HPCC Program will celebrate its fifth anniversary in October 1996 with an impressive array of accomplishments to its credit. Over its five-year history, the HPCC Program has focused on developing high performance computing and communications technologies that can be applied to computation-intensive applications. Major highlights for FY 1996: (1) High performance computing systems enable practical solutions to complex problems with accuracies not possible five years ago; (2) HPCC-funded research in very large scale networking techniques has been instrumental in the evolution of the Internet, which continues exponential growth in size, speed, and availability of information; (3) The combination of hardware capability measured in gigaflop/s, networking technology measured in gigabit/s, and new computational science techniques for modeling phenomena has demonstrated that very large scale accurate scientific calculations can be executed across heterogeneous parallel processing systems located thousands of miles apart; (4) Federal investments in HPCC software R and D support researchers who pioneered the development of parallel languages and compilers, high performance mathematical, engineering, and scientific libraries, and software tools--technologies that allow scientists to use powerful parallel systems to focus on Federal agency mission applications; and (5) HPCC support for virtual environments has enabled the development of immersive technologies, where researchers can explore and manipulate multi-dimensional scientific and engineering problems. Educational programs fostered by the HPCC Program have brought into classrooms new science and engineering curricula designed to teach computational science. This document contains a small sample of the significant HPCC Program accomplishments in FY 1996.
Bridging the Gap between Fundamental Physics and Chemistry and Applied
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Models for HCCI Engines | Department of Energy Bridging the Gap between Fundamental Physics and Chemistry and Applied Models for HCCI Engines Bridging the Gap between Fundamental Physics and Chemistry and Applied Models for HCCI Engines 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005_deer_assanis.pdf (1.42 MB) More Documents & Publications Computationally Efficient Modeling of High-Efficiency Clean Combustion Engines Modeling of HCCI and PCCI
Optical Diagnostics and Modeling Tools Applied to Diesel HCCI | Department
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
of Energy Optical Diagnostics and Modeling Tools Applied to Diesel HCCI Optical Diagnostics and Modeling Tools Applied to Diesel HCCI 2002 DEER Conference Presentation: Caterpillar Engine Research 2002_deer_choi.pdf (954.08 KB) More Documents & Publications Computational Fluid Dynamics Modeling of Diesel Engine Combustion and Emissions Development of Enabling Technologies for High Efficiency, Low Emissions Homogeneous Charge Compression Ignition (HCCI) Engines 3-D Combustion Simulation
Applied Sedimentology | Open Energy Information
Sedimentology Jump to: navigation, search OpenEI Reference LibraryAdd to library Book: Applied Sedimentology Author R.C. Salley Published Academic Press, 2000 DOI Not Provided...
Computer Modeling of Carbon Metabolism Enables Biofuel Engineering (Fact Sheet)
Not Available
2011-09-01
In an effort to reduce the cost of biofuels, the National Renewable Energy Laboratory (NREL) has merged biochemistry with modern computing and mathematics. The result is a model of carbon metabolism that will help researchers understand and engineer the process of photosynthesis for optimal biofuel production.
ORISE: Applied health physics projects
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Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support for decommissioning projects. Whether the need is assistance with the development of technical basis documents or advice on how to identify, measure and assess the presence of radiological materials, ORISE can help determine the best course for an environmental cleanup project. Our key areas of expertise include fuel
Physical Chemistry and Applied Spectroscopy
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PCS Physical Chemistry and Applied Spectroscopy We perform basic and applied research in support of the Laboratory's national security mission and serve a wide range of customers. Contact Us Group Leader Kirk Rector Deputy Group Leader Jeff Pietryga Group Office (505) 667-7121 Postdoctoral researcher Young-Shin Park characterizing emission spectra of LEDs in the Los Alamos National Laboratory optical laboratory. Postdoctoral researcher Young-Shin Park characterizing emission spectra of LEDs in
Computation Directorate 2008 Annual Report
Crawford, D L
2009-03-25
Whether a computer is simulating the aging and performance of a nuclear weapon, the folding of a protein, or the probability of rainfall over a particular mountain range, the necessary calculations can be enormous. Our computers help researchers answer these and other complex problems, and each new generation of system hardware and software widens the realm of possibilities. Building on Livermore's historical excellence and leadership in high-performance computing, Computation added more than 331 trillion floating-point operations per second (teraFLOPS) of power to LLNL's computer room floors in 2008. In addition, Livermore's next big supercomputer, Sequoia, advanced ever closer to its 2011-2012 delivery date, as architecture plans and the procurement contract were finalized. Hyperion, an advanced technology cluster test bed that teams Livermore with 10 industry leaders, made a big splash when it was announced during Michael Dell's keynote speech at the 2008 Supercomputing Conference. The Wall Street Journal touted Hyperion as a 'bright spot amid turmoil' in the computer industry. Computation continues to measure and improve the costs of operating LLNL's high-performance computing systems by moving hardware support in-house, by measuring causes of outages to apply resources asymmetrically, and by automating most of the account and access authorization and management processes. These improvements enable more dollars to go toward fielding the best supercomputers for science, while operating them at less cost and greater responsiveness to the customers.
Narasimhan, T.N.; Tokunaga, T.; White, A.F.; Smith, A.R.
1983-02-01
As part of the Research and Development phase of the Uranium Mill Tailings Remedial Action (UMTRA) program, the Lawrence Berkeley Laboratory (LBL) has set itself the goal of explaining the physico-chemical evolution of the Riverton site on the basis of the already collected field data at the site (Tokunaga and Narasimhan, 1982, Smith and Moed, 1982; White et al., 1984). The predictive aspects as well as addressing the question of critical quantity of field data have to be considered during the design phase of the project as a joint effort between the LBL team and the construction engineers. At the present time, LBL is in the process of completing the Research and Development phase of the work. As of this writing, the development of an appropriate set of mathematical models has been completed. The computations of the soil-water regime at the upper tailings surface, involving climatological factors is nearing completion. Computations of chemical transport are still in progress. This paper is devoted to a description of the key mathematical issues, the mathematical models that are needed to address these issues and a discussion of the model results pertaining to the soil water regime at the tailings-atmosphere interface. 11 references, 3 figures.
Computing Resources | Argonne Leadership Computing Facility
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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
Bringing Advanced Computational Techniques to Energy Research
Mitchell, Julie C
2012-11-17
Please find attached our final technical report for the BACTER Institute award. BACTER was created as a graduate and postdoctoral training program for the advancement of computational biology applied to questions of relevance to bioenergy research.
Validating Computer-Designed Proteins for Vaccines
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apply to a variety of other vaccine targets, such as human immunodeficiency virus and influenza. Wanted: Dead or Computed As strange as it sounds, most vaccines are composed of...
Patterns and perspectives in applied fracture mechanics
Merkle, J.G.
1994-12-31
This lecture begins with a overview of applied fracture mechanics pertinent to safety of pressure vessels. It then progresses to a chronological panorama of experimental and analytical results. To be useful and dependable in safety analysis of real structures, new analysis developments must be physically realistic, which means that they must accurately describe physical cause and effect. Consequently, before mathematical modeling can begin, cause and effect must be established from experimental data. This can be difficult and time consuming, but worth the effort. Accordingly, the theme of this paper is that the search for patterns is constant and vital. This theme is illustrated by the development of small, single-specimen, fracture toughness testing techniques. It is also illustrated by the development, based on two different published large-strain, elastic-plastic, three-dimensional finite-element analyses, of a hypothesis concerning three-dimensional loss of constraint. When a generalization of Irwin`s thickness-normalized plastic-zone parameter, reaches a value close to 2{pi}, the through-thickness contraction strain at the apex of the near-tip logarithmic-spiral slip-line region becomes the dominant negative strain accommodating crack opening. Because slip lines passing from the midplane to the stress-free side surfaces do not have to curve, once these slip lines are established, stresses near the crack tip are only elevated by strain hardening and constraint becomes significantly relaxed. This hypothesis, based on published three-dimensional elastic-plastic analyses, provides a potentially valuable means for gaining additional insight into constraint effects on fracture toughness by considering the roles played by the plastic strains as well as the stresses that develop near a crack tip.
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HPC INL Logo Home High-Performance Computing INL's high-performance computing center provides general use scientific computing capabilities to support the lab's efforts in advanced...
Computing and Computational Sciences Directorate - Computer Science and
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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
Quantum Computing: Solving Complex Problems
DiVincenzo, David [IBM Watson Research Center
2009-09-01
One of the motivating ideas of quantum computation was that there could be a new kind of machine that would solve hard problems in quantum mechanics. There has been significant progress towards the experimental realization of these machines (which I will review), but there are still many questions about how such a machine could solve computational problems of interest in quantum physics. New categorizations of the complexity of computational problems have now been invented to describe quantum simulation. The bad news is that some of these problems are believed to be intractable even on a quantum computer, falling into a quantum analog of the NP class. The good news is that there are many other new classifications of tractability that may apply to several situations of physical interest.
Mathematical and Statistical Opportunities in Cyber Security
Office of Scientific and Technical Information (OSTI)
... and virus detection based on an immunological distinction between "self and "nonself." Using the analogy between an immune system they have studied problems in computer virus ...
Wagner, Gregory John; Collis, Samuel Scott; Templeton, Jeremy Alan; Lehoucq, Richard B.; Parks, Michael L.; Jones, Reese E.; Silling, Stewart Andrew; Scovazzi, Guglielmo; Bochev, Pavel B.
2007-10-01
This report is a collection of documents written as part of the Laboratory Directed Research and Development (LDRD) project A Mathematical Framework for Multiscale Science and Engineering: The Variational Multiscale Method and Interscale Transfer Operators. We present developments in two categories of multiscale mathematics and analysis. The first, continuum-to-continuum (CtC) multiscale, includes problems that allow application of the same continuum model at all scales with the primary barrier to simulation being computing resources. The second, atomistic-to-continuum (AtC) multiscale, represents applications where detailed physics at the atomistic or molecular level must be simulated to resolve the small scales, but the effect on and coupling to the continuum level is frequently unclear.
Theoretical/Computational Tools for Energy-Relevant Catalysis...
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Essential to these efforts will be the development of novel new approaches in not only theoretical chemistry and materials science (BES), but also computational science and applied ...
CRC handbook of applied thermodynamics
Palmer, D.A. . Research and Development Dept.)
1987-01-01
The emphasis of this book is on applied thermodynamics, featuring the stage of development of a process rather than the logical development of thermodynamic principles. It is organized according to the types of problems encountered in industry, such as probing research, process assessment, and process development. The applied principles presented can be used in most areas of industry including oil and gas production and processing, chemical processing, power generation, polymer production, food processing, synthetic fuels production, specialty chemicals and pharmaceuticals production, bioengineered processes, etc.
Guide to Preventing Computer Software Piracy
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2001-07-12
Guide to Preventing Computer Software Piracy It is the intent of the Department of Energy (DOE) to issue guidance in accordance with Federal CIO Council recommendations and in compliance with Executive Order 13103. The guidance in this document is based on the CIO Council's recommendations in reference to computer software piracy, and applies to all DOE elements. Canceled by DOE N 205.18
Scientific computations section monthly report, November 1993
Buckner, M.R.
1993-12-30
This progress report from the Savannah River Technology Center contains abstracts from papers from the computational modeling, applied statistics, applied physics, experimental thermal hydraulics, and packaging and transportation groups. Specific topics covered include: engineering modeling and process simulation, criticality methods and analysis, plutonium disposition.
Quantum mechanics problems in observer's mathematics
Khots, Boris; Khots, Dmitriy
2012-11-06
This work considers the ontology, guiding equation, Schrodinger's equation, relation to the Born Rule, the conditional wave function of a subsystem in a setting of arithmetic, algebra and topology provided by Observer's Mathematics (see www.mathrelativity.com). Observer's Mathematics creates new arithmetic, algebra, geometry, topology, analysis and logic which do not contain the concept of continuum, but locally coincide with the standard fields. Certain results and communications pertaining to solutions of these problems are provided. In particular, we prove the following theorems: Theorem I (Two-slit interference). Let {Psi}{sub 1} be a wave from slit 1, {Psi}{sub 2} - from slit 2, and {Psi} = {Psi}{sub 1}+{Psi}{sub 2}. Then the probability of {Psi} being a wave equals to 0.5. Theorem II (k-bodies solution). For W{sub n} from m-observer point of view with m>log{sub 10}((2 Multiplication-Sign 10{sup 2n}-1){sup 2k}+1), the probability of standard expression of Hamiltonian variation is less than 1 and depends on n,m,k.
NetMOD Version 2.0 Mathematical Framework
Merchant, Bion J.; Young, Christopher J.; Chael, Eric P.
2015-08-01
NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydroacoustic and infrasonic networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probabilities of signal detection at each station and event detection across the network of stations can be computed given a detection threshold. The purpose of this document is to clearly and comprehensively present the mathematical framework used by NetMOD, the software package developed by Sandia National Laboratories to assess the monitoring capability of ground-based sensor networks. Many of the NetMOD equations used for simulations are inherited from the NetSim network capability assessment package developed in the late 1980s by SAIC (Sereno et al., 1990).
New Mathematics Accurately Captures Liquids and Surfaces Moving in Synergy
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Mathematics Accurately Captures Liquids and Surfaces Moving in Synergy New Mathematics Accurately Captures Liquids and Surfaces Moving in Synergy Berkeley Lab Mathematics Captures Fluid Interface Dynamics in Unprecedented Detail June 10, 2016 Linda Vu, lvu@lbl.gov, +1 510.495.2402 Gas bubbles in a glass of champagne, thin films rupturing into tiny liquid droplets, blood flowing through a pumping heart and crashing ocean waves-although seemingly unrelated, these phenomena have something in
The Computational Physics Program of the national MFE Computer Center
Mirin, A.A.
1989-01-01
Since June 1974, the MFE Computer Center has been engaged in a significant computational physics effort. The principal objective of the Computational Physics Group is to develop advanced numerical models for the investigation of plasma phenomena and the simulation of present and future magnetic confinement devices. Another major objective of the group is to develop efficient algorithms and programming techniques for current and future generations of supercomputers. The Computational Physics Group has been involved in several areas of fusion research. One main area is the application of Fokker-Planck/quasilinear codes to tokamaks. Another major area is the investigation of resistive magnetohydrodynamics in three dimensions, with applications to tokamaks and compact toroids. A third area is the investigation of kinetic instabilities using a 3-D particle code; this work is often coupled with the task of numerically generating equilibria which model experimental devices. Ways to apply statistical closure approximations to study tokamak-edge plasma turbulence have been under examination, with the hope of being able to explain anomalous transport. Also, we are collaborating in an international effort to evaluate fully three-dimensional linear stability of toroidal devices. In addition to these computational physics studies, the group has developed a number of linear systems solvers for general classes of physics problems and has been making a major effort at ascertaining how to efficiently utilize multiprocessor computers. A summary of these programs are included in this paper. 6 tabs.
Summer of Applied Geophysical Experience
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Summer of Applied Geophysical Experience (SAGE) 2016 - Our 34 rd Year! SAGE is a 3-4 week research and education program in exploration geophysics for graduate, undergraduate students, and working professionals based in Santa Fe, NM, U.S.A. Application deadline March 27, 2016, 5:00pm MDT SAGE students, faculty, teaching assistants, and visiting scientists acquire, process and interpret reflection/refraction seismic, magnetotelluric (MT)/electromagnetic (EM), ground penetrating radar (GPR),
North Carolina School of Science and Mathematics from Durham...
Office of Environmental Management (EM)
North Carolina School of Science and Mathematics beat Mira Loma High School from Sacramento CA in the high school national championship match by correctly answering a chemistry ...
OSTIblog Articles in the mathematics Topic | OSTI, US Dept of...
Office of Scientific and Technical Information (OSTI)
Mathematics is used throughout the world as an essential tool in many fields, including natural science, engineering, medicine and the social sciences. Large amounts of data are ...
OSTIblog Articles in the mathematics Topic | OSTI, US Dept of Energy Office
Office of Scientific and Technical Information (OSTI)
of Scientific and Technical Information mathematics Topic Happy Mathematics Awareness Month by Kate Bannan 13 Apr, 2012 in Science Communications 4349 math.jpeg Happy Mathematics Awareness Month Read more about 4349 "Pure mathematics is, in its way, the poetry of logical ideas." ~Albert Einstein As you prepare your taxes, keep in mind that April is Mathematics Awareness Month. This year's theme is, "Mathematics, Statistics and the Data Deluge". Mathematics is used
Computation of multi-material interactions using point method
Zhang, Duan Z; Ma, Xia; Giguere, Paul T
2009-01-01
Calculations of fluid flows are often based on Eulerian description, while calculations of solid deformations are often based on Lagrangian description of the material. When the Eulerian descriptions are used to problems of solid deformations, the state variables, such as stress and damage, need to be advected, causing significant numerical diffusion error. When Lagrangian methods are used to problems involving large solid deformat ions or fluid flows, mesh distortion and entanglement are significant sources of error, and often lead to failure of the calculation. There are significant difficulties for either method when applied to problems involving large deformation of solids. To address these difficulties, particle-in-cell (PIC) method is introduced in the 1960s. In the method Eulerian meshes stay fixed and the Lagrangian particles move through the Eulerian meshes during the material deformation. Since its introduction, many improvements to the method have been made. The work of Sulsky et al. (1995, Comput. Phys. Commun. v. 87, pp. 236) provides a mathematical foundation for an improved version, material point method (MPM) of the PIC method. The unique advantages of the MPM method have led to many attempts of applying the method to problems involving interaction of different materials, such as fluid-structure interactions. These problems are multiphase flow or multimaterial deformation problems. In these problems pressures, material densities and volume fractions are determined by satisfying the continuity constraint. However, due to the difference in the approximations between the material point method and the Eulerian method, erroneous results for pressure will be obtained if the same scheme used in Eulerian methods for multiphase flows is used to calculate the pressure. To resolve this issue, we introduce a numerical scheme that satisfies the continuity requirement to higher order of accuracy in the sense of weak solutions for the continuity equations
Droppo, J.G.; Buck, J.W.
1996-03-01
The Multimedia Environmental Pollutant Assessment System (MEPAS) is an integrated software implementation of physics-based fate and transport models for health and environmental risk assessments of both radioactive and hazardous pollutants. This atmospheric component report is one of a series of formulation reports that document the MEPAS mathematical models. MEPAS is a ``multimedia`` model; pollutant transport is modeled within, through, and between multiple media (air, soil, groundwater, and surface water). The estimated concentrations in the various media are used to compute exposures and impacts to the environment, to maximum individuals, and to populations.
International combustion engines; Applied thermosciences
Ferguson, C.R.
1985-01-01
Focusing on thermodynamic analysis - from the requisite first law to more sophisticated applications - and engine design, this book is an introduction to internal combustion engines and their mechanics. It covers the many types of internal combustion engines, including spark ignition, compression ignition, and stratified charge engines, and examines processes, keeping equations of state simple by assuming constant specific heats. Equations are limited to heat engines and later applied to combustion engines. Topics include realistic equations of state, stroichiometry, predictions of chemical equilibrium, engine performance criteria, and friction, which is discussed in terms of the hydrodynamic theory of lubrication and experimental methods such as dimensional analysis.
Applications of Parallel Computers
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Computers Applications of Parallel Computers UCB CS267 Spring 2015 Tuesday & Thursday, 9:30-11:00 Pacific Time Applications of Parallel Computers, CS267, is a graduate-level course...
Theory, Modeling and Computation
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Theory, Modeling and Computation Theory, Modeling and Computation The sophistication of modeling and simulation will be enhanced not only by the wealth of data available from MaRIE but by the increased computational capacity made possible by the advent of extreme computing. CONTACT Jack Shlachter (505) 665-1888 Email Extreme Computing to Power Accurate Atomistic Simulations Advances in high-performance computing and theory allow longer and larger atomistic simulations than currently possible.
advanced simulation and computing
National Nuclear Security Administration (NNSA)
Each successive generation of computing system has provided greater computing power and energy efficiency.
CTS-1 clusters will support NNSA's Life Extension Program and...
Computational Physics and Methods
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2 Computational Physics and Methods Performing innovative simulations of physics phenomena on tomorrow's scientific computing platforms Growth and emissivity of young galaxy ...
Computer hardware fault administration
Archer, Charles J.; Megerian, Mark G.; Ratterman, Joseph D.; Smith, Brian E.
2010-09-14
Computer hardware fault administration carried out in a parallel computer, where the parallel computer includes a plurality of compute nodes. The compute nodes are coupled for data communications by at least two independent data communications networks, where each data communications network includes data communications links connected to the compute nodes. Typical embodiments carry out hardware fault administration by identifying a location of a defective link in the first data communications network of the parallel computer and routing communications data around the defective link through the second data communications network of the parallel computer.
Molecular Science Computing | EMSL
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computational and state-of-the-art experimental tools, providing a cross-disciplinary environment to further research. Additional Information Computing user policies Partners...
Apply to the Cyclotron Institute REU Program
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Apply Now Applying for the 2016 NSF-REU Nuclear Physics and Nuclear Chemistry Program at the Cyclotron Institute (APPLICATION DEADLINE HAS PASSED. Please check back in Fall 2016 to apply for Summer 2017)
Antaki, G.A. 22 NUCLEAR REACTOR TECHNOLOGY; 99 MATHEMATICS, COMPUTERS...
Office of Scientific and Technical Information (OSTI)
PIPES; DYNAMIC LOADS; ANALYTIC FUNCTIONS; ANALYTICAL SOLUTION; STRESSES; REGULATIONS; SEISMIC EFFECTS; STRESS ANALYSIS; EPRI; STANDARDS The paper addresses several analytical...
CNMS D Jun-Qiang Lu Computer Science and Mathematics Division
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D I I S S C C O O V V E E R R Y Y SEMINAR SERIES Abstract The pursuit of spintronics ultimately depends on our ability to steer spin currents and detect or flip their polarization. ...
Mathematical and computational modeling of the diffraction problems by discrete singularities method
Nesvit, K. V.
2014-11-12
The main objective of this study is reduced the boundary-value problems of scattering and diffraction waves on plane-parallel structures to the singular or hypersingular integral equations. For these cases we use a method of the parametric representations of the integral and pseudo-differential operators. Numerical results of the model scattering problems on periodic and boundary gratings and also on the gratings above a flat screen reflector are presented in this paper.
Applied Intellectual Capital AIC | Open Energy Information
Intellectual Capital AIC Jump to: navigation, search Name: Applied Intellectual Capital (AIC) Place: California Zip: 94501-1010 Product: Applied Intellectual Capital (AIC) was...
Applied Materials Wind Turbine | Open Energy Information
Wind Turbine Jump to: navigation, search Name Applied Materials Wind Turbine Facility Applied Materials Sector Wind energy Facility Type Community Wind Facility Status In Service...
Building America Expert Meeting: Recommendations for Applying...
Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems Building America Expert Meeting: Recommendations for Applying Water Heaters in ...
Applied Ventures LLC | Open Energy Information
Applied Ventures LLC Name: Applied Ventures LLC Address: 3050 Bowers Avenue Place: Santa Clara, California Zip: 95054 Region: Southern CA Area Product: Venture capital. Number...
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The Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR) has announced a new funding opportunity in Applied Mathematics entitled "Mathematical ...
Cosmic Reionization On Computers | Argonne Leadership Computing...
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its Cosmic Reionization On Computers (CROC) project, using the Adaptive Refinement Tree (ART) code as its main simulation tool. An important objective of this research is to make...
Now Accepting Applications for Alvarez Fellowship
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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. The ...
Applied Math PI Meet | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
Applied Math PI Meet Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Featured Content ASCR Discovery ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review and Best Practices Workshops
DOE Applied Math Summit | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
DOE Applied Math Summit Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Featured Content ASCR Discovery ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review and Best Practices Workshops
Extreme Scale Computing, Co-Design
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Information Science, Computing, Applied Math » Extreme Scale Computing, Co-design » Publications Publications Ramon Ravelo, Qi An, Timothy C. Germann, and Brad Lee Holian, "Large-scale molecular dynamics simulations of shock induced plasticity in tantalum single crystals," AIP Conference Proceedings 1426, 1263-1266 (2012). Frank J. Cherne, Guy Dimonte, and Timothy C. Germann, "Richtymer-Meshkov instability examined with large-scale molecular dynamics simulations," AIP
Argonne's Laboratory computing resource center : 2006 annual report.
Bair, R. B.; Kaushik, D. K.; Riley, K. R.; Valdes, J. V.; Drugan, C. D.; Pieper, G. P.
2007-05-31
Argonne National Laboratory founded the Laboratory Computing Resource Center (LCRC) in the spring of 2002 to help meet pressing program needs for computational modeling, simulation, and analysis. The guiding mission is to provide critical computing resources that accelerate the development of high-performance computing expertise, applications, and computations to meet the Laboratory's challenging science and engineering missions. In September 2002 the LCRC deployed a 350-node computing cluster from Linux NetworX to address Laboratory needs for mid-range supercomputing. This cluster, named 'Jazz', achieved over a teraflop of computing power (10{sup 12} floating-point calculations per second) on standard tests, making it the Laboratory's first terascale computing system and one of the 50 fastest computers in the world at the time. Jazz was made available to early users in November 2002 while the system was undergoing development and configuration. In April 2003, Jazz was officially made available for production operation. Since then, the Jazz user community has grown steadily. By the end of fiscal year 2006, there were 76 active projects on Jazz involving over 380 scientists and engineers. These projects represent a wide cross-section of Laboratory expertise, including work in biosciences, chemistry, climate, computer science, engineering applications, environmental science, geoscience, information science, materials science, mathematics, nanoscience, nuclear engineering, and physics. Most important, many projects have achieved results that would have been unobtainable without such a computing resource. The LCRC continues to foster growth in the computational science and engineering capability and quality at the Laboratory. Specific goals include expansion of the use of Jazz to new disciplines and Laboratory initiatives, teaming with Laboratory infrastructure providers to offer more scientific data management capabilities, expanding Argonne staff use of national
None
2011-10-06
The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained
The computational physics program of the National MFE Computer Center
Mirin, A.A.
1988-01-01
The principal objective of the Computational Physics Group is to develop advanced numerical models for the investigation of plasma phenomena and the simulation of present and future magnetic confinement devices. Another major objective of the group is to develop efficient algorithms and programming techniques for current and future generation of supercomputers. The computational physics group is involved in several areas of fusion research. One main area is the application of Fokker-Planck/quasilinear codes to tokamaks. Another major area is the investigation of resistive magnetohydrodynamics in three dimensions, with applications to compact toroids. Another major area is the investigation of kinetic instabilities using a 3-D particle code. This work is often coupled with the task of numerically generating equilibria which model experimental devices. Ways to apply statistical closure approximations to study tokamak-edge plasma turbulence are being examined. In addition to these computational physics studies, the group has developed a number of linear systems solvers for general classes of physics problems and has been making a major effort at ascertaining how to efficiently utilize multiprocessor computers.
HISTORY OF THE ENGINEERING PHYSICS AND MATHEMATICS DIVISION 1955-1993
Maskewitz, B.F.
2001-09-14
A review of division progress reports noting significant events and findings of the Applied Nuclear Physics, Neutron Physics, Engineering Physics, and then Engineering Physics and Mathematics divisions from 1955 to 1993 was prepared for use in developing a history of the Oak Ridge National Laboratory in celebration of its 50th year. The research resulted in an accumulation of historic material and photographs covering 38 years of effort, and the decision was made to publish a brief history of the division. The history begins with a detailed account of the founding of the Applied Nuclear Physics Division in 1955 and continues through the name change to the Neutron Physics Division in the late 1950s. The material thereafter is presented in decades--the sixties, seventies, and eighties--and ends as we enter the nineties.
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Office of Scientific and Technical Information (OSTI)
... Experts in the ASCR relevant Computing Sciences, which encompass a range of disciplines including Computer Science, Applied Mathematics, Statistics and domain Computational ...
Energy Department Requests Proposals for Advanced Scientific...
Broader source: Energy.gov (indexed) [DOE]
integrates applied mathematics, computer science and computational science in the physical, biological and environmental sciences for scientific discovery on petascale computers. ...
Mathematical Models Shed New Light on Cancer Mutations
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Mathematical Models Shed New Light on Cancer Mutations Mathematical Models Shed New Light on Cancer Mutations Calculations Run at NERSC Pinpoint Rare Mutants More Quickly November 3, 2014 Contact: David Cameron, 617.432.0441, david_cameron@hms.harvard.edu cancermutations3 Heat map of the average magnitude of interaction energies projected onto a structural representation of SH2 domains (white) in complex with phosphopeptide (green). SH2 (Src Homology 2) is a protein domain found in many
New Mathematical Method Reveals Where Genes Switch On or Off
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New Mathematical Method Reveals Where Genes Switch On or Off New Mathematical Method Reveals Where Genes Switch On or Off "Compressed sensing" determines atomic-level energy potentials with accuracy approaching experimental measurement February 22, 2012 John Hules, JAHules@lbl.gov, +1 510 486 6008 Figure 1. Helix-turn-helix (HTH) proteins are the most widely distributed family of DNA-binding proteins, occurring in all biological kingdoms. This image shows a lambda repressor HTH
Integrated Mathematical Modeling Software Series of Vehicle Propulsion
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket | Department of Energy Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket Integrated Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit,
Code Verification of the HIGRAD Computational Fluid Dynamics Solver
Van Buren, Kendra L.; Canfield, Jesse M.; Hemez, Francois M.; Sauer, Jeremy A.
2012-05-04
The purpose of this report is to outline code and solution verification activities applied to HIGRAD, a Computational Fluid Dynamics (CFD) solver of the compressible Navier-Stokes equations developed at the Los Alamos National Laboratory, and used to simulate various phenomena such as the propagation of wildfires and atmospheric hydrodynamics. Code verification efforts, as described in this report, are an important first step to establish the credibility of numerical simulations. They provide evidence that the mathematical formulation is properly implemented without significant mistakes that would adversely impact the application of interest. Highly accurate analytical solutions are derived for four code verification test problems that exercise different aspects of the code. These test problems are referred to as: (i) the quiet start, (ii) the passive advection, (iii) the passive diffusion, and (iv) the piston-like problem. These problems are simulated using HIGRAD with different levels of mesh discretization and the numerical solutions are compared to their analytical counterparts. In addition, the rates of convergence are estimated to verify the numerical performance of the solver. The first three test problems produce numerical approximations as expected. The fourth test problem (piston-like) indicates the extent to which the code is able to simulate a 'mild' discontinuity, which is a condition that would typically be better handled by a Lagrangian formulation. The current investigation concludes that the numerical implementation of the solver performs as expected. The quality of solutions is sufficient to provide credible simulations of fluid flows around wind turbines. The main caveat associated to these findings is the low coverage provided by these four problems, and somewhat limited verification activities. A more comprehensive evaluation of HIGRAD may be beneficial for future studies.
Thermal Hydraulic Computer Code System.
Energy Science and Technology Software Center (OSTI)
1999-07-16
Version 00 RELAP5 was developed to describe the behavior of a light water reactor (LWR) subjected to postulated transients such as loss of coolant from large or small pipe breaks, pump failures, etc. RELAP5 calculates fluid conditions such as velocities, pressures, densities, qualities, temperatures; thermal conditions such as surface temperatures, temperature distributions, heat fluxes; pump conditions; trip conditions; reactor power and reactivity from point reactor kinetics; and control system variables. In addition to reactor applications,more » the program can be applied to transient analysis of other thermal‑hydraulic systems with water as the fluid. This package contains RELAP5/MOD1/029 for CDC computers and RELAP5/MOD1/025 for VAX or IBM mainframe computers.« less
Wolinski, Christophe Czeslaw; Gokhale, Maya B.; McCabe, Kevin Peter
2011-01-18
Fabric-based computing systems and methods are disclosed. A fabric-based computing system can include a polymorphous computing fabric that can be customized on a per application basis and a host processor in communication with said polymorphous computing fabric. The polymorphous computing fabric includes a cellular architecture that can be highly parameterized to enable a customized synthesis of fabric instances for a variety of enhanced application performances thereof. A global memory concept can also be included that provides the host processor random access to all variables and instructions associated with the polymorphous computing fabric.
Computational nuclear quantum many-body problem: The UNEDF project
Fann, George I [ORNL
2013-01-01
The UNEDF project was a large-scale collaborative effort that applied high-performance computing to the nuclear quantum many-body problem. The primary focus of the project was on constructing, validating, and applying an optimized nuclear energy density functional, which entailed a wide range of pioneering developments in microscopic nuclear structure and reactions, algorithms, high-performance computing, and uncertainty quantification. UNEDF demonstrated that close associations among nuclear physicists, mathematicians, and computer scientists can lead to novel physics outcomes built on algorithmic innovations and computational developments. This review showcases a wide range of UNEDF science results to illustrate this interplay.
Cognitive Computing for Security.
Debenedictis, Erik; Rothganger, Fredrick; Aimone, James Bradley; Marinella, Matthew; Evans, Brian Robert; Warrender, Christina E.; Mickel, Patrick
2015-12-01
Final report for Cognitive Computing for Security LDRD 165613. It reports on the development of hybrid of general purpose/ne uromorphic computer architecture, with an emphasis on potential implementation with memristors.
Computers in Commercial Buildings
U.S. Energy Information Administration (EIA) Indexed Site
Government-owned buildings of all types, had, on average, more than one computer per person (1,104 computers per thousand employees). They also had a fairly high ratio of...
Broader source: Energy.gov [DOE]
Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...
Fermilab | Science at Fermilab | Computing | Grid Computing
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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. ...
Advanced Scientific Computing Research
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Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, developing, and deploying computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the Department of Energy. Get Expertise Pieter Swart (505) 665 9437 Email Pat McCormick (505) 665-0201 Email Dave Higdon (505) 667-2091 Email Fulfilling the potential of emerging computing systems and architectures beyond today's tools and techniques to deliver
Computational Structural Mechanics
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load-2 TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Structural Mechanics Overview of CSM Computational structural mechanics is a well-established methodology for the design and analysis of many components and structures found in the transportation field. Modern finite-element models (FEMs) play a major role in these evaluations, and sophisticated software, such as the commercially available LS-DYNA® code, is
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Energy Computers, Electronics and Electrical Equipment (2010 MECS) Computers, Electronics and Electrical Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Computers, Electronics and Electrical Equipment Sector (NAICS 334, 335) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint Computers, Electronics and Electrical Equipment (123.71 KB) More Documents
Mathematical Deductions from Some Rules Concerning High-Energy Total Cross Sections
DOE R&D Accomplishments [OSTI]
Yang, C. N.
1962-07-23
Mathematical implications of the Pomeranchuk rule and the Pomeranchuk- Okun rule are discussed. (auth)
How to Apply for the ENERGY STAR®
Broader source: Energy.gov [DOE]
Join us to learn about applying for ENERGY STAR Certification in Portfolio Manager. Understand the value of the ENERGY STAR certification, see the step-by-step process of applying, and gain tips to...
Apply for Beam Time | Advanced Photon Source
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All About Proposals Users Home Apply for Beam Time Deadlines Proposal Types Concepts, Definitions, and Help My APS Portal My APS Portal Apply for Beam Time Next Proposal Deadline...
Applying for PMCDP/FPD Certification (initial)
Broader source: Energy.gov [DOE]
Certification applicants are nominated by their respective Program Secretarial Office (PSO) to apply for FPD certification – candidates may not apply without program sponsorship. Each participating...
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
Michael Ernst
2010-01-08
As the sole Tier-1 computing facility for ATLAS in the United States and the largest ATLAS computing center worldwide Brookhaven provides a large portion of the overall computing resources for U.S. collaborators and serves as the central hub for storing,
Osbourn, Gordon C; Bouchard, Ann M
2012-09-18
A computing environment logbook logs events occurring within a computing environment. The events are displayed as a history of past events within the logbook of the computing environment. The logbook provides search functionality to search through the history of past events to find one or more selected past events, and further, enables an undo of the one or more selected past events.
Energy Science and Technology Software Center (OSTI)
2002-10-04
The Computer_Vision software performs object recognition using a novel multi-scale characterization and matching algorithm. To understand the multi-scale characterization and matching software, it is first necessary to understand some details of the Computer Vision (CV) Project. This project has focused on providing algorithms and software that provide an end-to-end toolset for image processing applications. At a high-level, this end-to-end toolset focuses on 7 coy steps. The first steps are geometric transformations. 1) Image Segmentation. Thismore » step essentially classifies pixels in foe input image as either being of interest or not of interest. We have also used GENIE segmentation output for this Image Segmentation step. 2 Contour Extraction (patent submitted). This takes the output of Step I and extracts contours for the blobs consisting of pixels of interest. 3) Constrained Delaunay Triangulation. This is a well-known geometric transformation that creates triangles inside the contours. 4 Chordal Axis Transform (CAT) . This patented geometric transformation takes the triangulation output from Step 3 and creates a concise and accurate structural representation of a contour. From the CAT, we create a linguistic string, with associated metrical information, that provides a detailed structural representation of a contour. 5.) Normalization. This takes an attributed linguistic string output from Step 4 and balances it. This ensures that the linguistic representation accurately represents the major sections of the contour. Steps 6 and 7 are implemented by the multi-scale characterization and matching software. 6) Multi scale Characterization. This takes as input the attributed linguistic string output from Normalization. Rules from a context free grammar are applied in reverse to create a tree-like representation for each contour. For example, one of the grammars rules is L -> (LL ). When an (LL) is seen in a string, a parent node is created that points to
Parallel computing in enterprise modeling.
Goldsby, Michael E.; Armstrong, Robert C.; Shneider, Max S.; Vanderveen, Keith; Ray, Jaideep; Heath, Zach; Allan, Benjamin A.
2008-08-01
This report presents the results of our efforts to apply high-performance computing to entity-based simulations with a multi-use plugin for parallel computing. We use the term 'Entity-based simulation' to describe a class of simulation which includes both discrete event simulation and agent based simulation. What simulations of this class share, and what differs from more traditional models, is that the result sought is emergent from a large number of contributing entities. Logistic, economic and social simulations are members of this class where things or people are organized or self-organize to produce a solution. Entity-based problems never have an a priori ergodic principle that will greatly simplify calculations. Because the results of entity-based simulations can only be realized at scale, scalable computing is de rigueur for large problems. Having said that, the absence of a spatial organizing principal makes the decomposition of the problem onto processors problematic. In addition, practitioners in this domain commonly use the Java programming language which presents its own problems in a high-performance setting. The plugin we have developed, called the Parallel Particle Data Model, overcomes both of these obstacles and is now being used by two Sandia frameworks: the Decision Analysis Center, and the Seldon social simulation facility. While the ability to engage U.S.-sized problems is now available to the Decision Analysis Center, this plugin is central to the success of Seldon. Because Seldon relies on computationally intensive cognitive sub-models, this work is necessary to achieve the scale necessary for realistic results. With the recent upheavals in the financial markets, and the inscrutability of terrorist activity, this simulation domain will likely need a capability with ever greater fidelity. High-performance computing will play an important part in enabling that greater fidelity.
Scalable optical quantum computer
Manykin, E A; Mel'nichenko, E V [Institute for Superconductivity and Solid-State Physics, Russian Research Centre 'Kurchatov Institute', Moscow (Russian Federation)
2014-12-31
A way of designing a scalable optical quantum computer based on the photon echo effect is proposed. Individual rare earth ions Pr{sup 3+}, regularly located in the lattice of the orthosilicate (Y{sub 2}SiO{sub 5}) crystal, are suggested to be used as optical qubits. Operations with qubits are performed using coherent and incoherent laser pulses. The operation protocol includes both the method of measurement-based quantum computations and the technique of optical computations. Modern hybrid photon echo protocols, which provide a sufficient quantum efficiency when reading recorded states, are considered as most promising for quantum computations and communications. (quantum computer)
Workshop in computational molecular biology, April 15, 1991--April 14, 1994
Tavare, S.
1995-04-12
Funds from this award were used to the Workshop in Computational Molecular Biology, `91 Symposium entitled Interface: Computing Science and Statistics, Seattle, Washington, April 21, 1991; the Workshop in Statistical Issues in Molecular Biology held at Stanford, California, August 8, 1993; and the Session on Population Genetics a part of the 56th Annual Meeting, Institute of Mathematical Statistics, San Francisco, California, August 9, 1993.
Broader source: Energy.gov [DOE]
The objective of this Funding Opportunity Announcement (FOA) is to leverage scientific advancements in mathematics and computation for application to power system models and software tools, with the long-term goal of enabling real-time protection and control based on wide-area sensor measurements.
Core Capabilities | Argonne National Laboratory
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user facilities and advanced instrumentation; applied mathematics; advanced computer science, visualization and data; chemical and molecular science; chemical engineering; ...
Mathematical model of marine diesel engine simulator for a new methodology of self propulsion tests
Izzuddin, Nur; Sunarsih,; Priyanto, Agoes
2015-05-15
As a vessel operates in the open seas, a marine diesel engine simulator whose engine rotation is controlled to transmit through propeller shaft is a new methodology for the self propulsion tests to track the fuel saving in a real time. Considering the circumstance, this paper presents the real time of marine diesel engine simulator system to track the real performance of a ship through a computer-simulated model. A mathematical model of marine diesel engine and the propeller are used in the simulation to estimate fuel rate, engine rotating speed, thrust and torque of the propeller thus achieve the target vessel’s speed. The input and output are a real time control system of fuel saving rate and propeller rotating speed representing the marine diesel engine characteristics. The self-propulsion tests in calm waters were conducted using a vessel model to validate the marine diesel engine simulator. The simulator then was used to evaluate the fuel saving by employing a new mathematical model of turbochargers for the marine diesel engine simulator. The control system developed will be beneficial for users as to analyze different condition of vessel’s speed to obtain better characteristics and hence optimize the fuel saving rate.
Derivation of an Applied Nonlinear Schroedinger Equation.
Pitts, Todd Alan; Laine, Mark Richard; Schwarz, Jens; Rambo, Patrick K.; Karelitz, David B.
2015-01-01
We derive from first principles a mathematical physics model useful for understanding nonlinear optical propagation (including filamentation). All assumptions necessary for the development are clearly explained. We include the Kerr effect, Raman scattering, and ionization (as well as linear and nonlinear shock, diffraction and dispersion). We explain the phenomenological sub-models and each assumption required to arrive at a complete and consistent theoretical description. The development includes the relationship between shock and ionization and demonstrates why inclusion of Drude model impedance effects alters the nature of the shock operator. Unclassified Unlimited Release
Browse by Discipline -- E-print Network Subject Pathways: Computer...
Office of Scientific and Technical Information (OSTI)
Department of Mathematics and Statistics, Smith College Haasdonk, Bernard (Bernard ... Department of Mathematics and Statistics, Smith College Hennig, Christian (Christian ...
Browse by Discipline -- E-print Network Subject Pathways: Computer...
Office of Scientific and Technical Information (OSTI)
... - Department of Mathematics, Massachusetts Institute of Technology (MIT) Vogel, Curtis (Curtis Vogel) - Department of Mathematical Sciences, Montana State University Vogel, ...
HPC CLOUD APPLIED TO LATTICE OPTIMIZATION
Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna; Qin, Yong
2011-03-18
As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.
Mathematical modeling of mass transfer during centrifugal filtration of polydisperse suspensions
V.F. Pozhidaev; Y.B. Rubinshtein; G.Y. Golberg; S.A. Osadchii
2009-07-15
A mass-transfer equation, the solution of which for given boundary conditions makes it possible to derive in analytical form a relationship between the extraction of the solid phase of a suspension into the centrifuge effluent and the fineness of the particles, is suggested on the basis of a model; this is of particular importance in connection with the development of a new trend in the utilization of filtering centrifuges - concentration of coal slurries by extraction into the centrifuge effluent of the finest particles, the ash content of which is substantially higher than that of particles of the coarser classes. Results are presented for production studies under conditions at an active establishment (the Neryungrinskaya Enrichment Factory); these results confirmed the adequacy of the mathematical model proposed: convergence of computed and experimental data was within the limits of the experimental error (no more than 3%). The model in question can be used to predict results of suspension separation by centrifugal filtration.
Sandia Energy - High Performance Computing
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
High Performance Computing Home Energy Research Advanced Scientific Computing Research (ASCR) High Performance Computing High Performance Computingcwdd2015-03-18T21:41:24+00:00...
A Hygrothermal Risk Analysis Applied to Residential Unvented Attics
Pallin, Simon B; Kehrer, Manfred
2013-01-01
Aresidential building, constructed with an unvented attic, is acommonroof assembly in the United States.The expected hygrothermal performance and service life of the roof are difficult to estimate due to a number of varying parameters.Typical parameters expected to vary are the climate, direction, and slope of the roof as well as the radiation properties of the surface material. Furthermore, influential parameters are indoor moisture excess, air leakages through the attic floor, and leakages from air-handling unit and ventilation ducts. In addition, the type of building materials such as the insulation material and closed or open cell spray polyurethane foam will influence the future performance of the roof. A development of a simulation model of the roof assembly will enable a risk and sensitivity analysis, in which the most important varying parameters on the hygrothermal performance can be determined. The model is designed to perform probabilistic simulations using mathematical and hygrothermal calculation tools. The varying input parameters can be chosen from existing measurements, simulations, or standards. An analysis is applied to determine the risk of consequences, such as mold growth, rot, or energy demand of the HVAC unit. Furthermore, the future performance of the roof can be simulated in different climates to facilitate the design of an efficient and reliable roof construction with the most suitable technical solution and to determine the most appropriate building materials for a given climate
Modules and methods for all photonic computing
Schultz, David R.; Ma, Chao Hung
2001-01-01
A method for all photonic computing, comprising the steps of: encoding a first optical/electro-optical element with a two dimensional mathematical function representing input data; illuminating the first optical/electro-optical element with a collimated beam of light; illuminating a second optical/electro-optical element with light from the first optical/electro-optical element, the second optical/electro-optical element having a characteristic response corresponding to an iterative algorithm useful for solving a partial differential equation; iteratively recirculating the signal through the second optical/electro-optical element with light from the second optical/electro-optical element for a predetermined number of iterations; and, after the predetermined number of iterations, optically and/or electro-optically collecting output data representing an iterative optical solution from the second optical/electro-optical element.
Towards intelligent diagnostic system employing integration of mathematical and engineering model
Isa, Nor Ashidi Mat
2015-05-15
The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well
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
Program for fundamental and applied research of fuel cells in VNIIEF
Anisin, A.V.; Borisseonock, V.A.; Novitskii, Y.Z.; Potyomckin, G.A.
1996-04-01
According to VNIIEF the integral part of development of fuel cell power plants is fundamental and applied research. This paper describes areas of research on molten carbonate fuel cells. Topics include the development of mathematical models for porous electrodes, thin film electrolytes, the possibility of solid nickel anodes, model of activation polarization of anode, electrolyte with high solubility of oxygen. Other areas include research on a stationary mode of stack operation, anticorrosion coatings, impedance diagnostic methods, ultrasound diagnostics, radiation treatments, an air aluminium cell, and alternative catalysts for low temperature fuel cells.
Technology Assessment of Dust Suppression Techniques applied During Structural Demolition
Boudreaux, J.F.; Ebadian, M.A.; Dua, S.K.
1997-08-06
Hanford, Fernald, Savannah River, and other sites are currently reviewing technologies that can be implemented to demolish buildings in a cost-effective manner. In order to demolish a structure and, at the same time, minimize the amount of dust generated by a given technology, an evaluation must be conducted to choose the most appropriate dust suppression technology. Thus, the purpose of this research, which was conducted by the Hemispheric Center for Environmental Technology (HCET) at Florida International University (FIU), was to perform an experimental study of dust aerosol abatement (dust suppression) methods as applied to nuclear D and D. This experimental study specifically targeted the problem of dust suppression during demolition. The resulting data were used in the development of mathematical correlations that can be applied to structural demolition. In the Fiscal Year 1996 (FY96), the effectiveness of different dust suppressing agents was investigated for different types of concrete blocks. Initial tests were conducted in a broad particle size range. In Fiscal Year 1997 (FY97), additional tests were performed in the size range in which most of the particles were detected. Since particle distribution is an important parameter for predicting deposition in various compartments of the human respiratory tract, various tests were aimed at determining the particle size distribution of the airborne dust particles. The effectiveness of dust suppressing agents for particles of various size was studied. Instead of conducting experiments on various types of blocks, it was thought prudent to carry out additional tests on blocks of the same type. Several refinements were also incorporated in the test procedures and data acquisition system used in FY96.
Applied Field Research Initiative Deep Vadose Zone
Office of Environmental Management (EM)
Applied Field Research Initiative Deep Vadose Zone Located on the Hanford Site in Richland, Washington, the Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources by addressing the challenge of preventing contamination in the deep vadose zone from reaching groundwater. Led by the Pacific Northwest National Laboratory, the Initiative is a collaborative effort that leverages Department of Energy (DOE) investments in basic science and applied
Scientific Cloud Computing Misconceptions
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Scientific Cloud Computing Misconceptions Scientific Cloud Computing Misconceptions July 1, 2011 Part of the Magellan project was to understand both the possibilities and the limitations of cloud computing in the pursuit of science. At a recent conference, Magellan investigator Shane Canon outlined some persistent misconceptions about doing science in the cloud - and what Magellan has taught us about them. » Read the ISGTW story. » Download the slides (PDF, 4.1MB
Edison Electrifies Scientific Computing
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Edison Electrifies Scientific Computing Edison Electrifies Scientific Computing NERSC Flips Switch on New Flagship Supercomputer January 31, 2014 Contact: Margie Wylie, mwylie@lbl.gov, +1 510 486 7421 The National Energy Research Scientific Computing (NERSC) Center recently accepted "Edison," a new flagship supercomputer designed for scientific productivity. Named in honor of American inventor Thomas Alva Edison, the Cray XC30 will be dedicated in a ceremony held at the Department of
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Energy Aware Computing Energy Aware Computing Dynamic Frequency Scaling One means to lower the energy required to compute is to reduce the power usage on a node. One way to accomplish this is by lowering the frequency at which the CPU operates. However, reducing the clock speed increases the time to solution, creating a potential tradeoff. NERSC continues to examine how such methods impact its operations and its
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Security NERSC Computer Security NERSC computer security efforts are aimed at protecting NERSC systems and its users' intellectual property from unauthorized access or modification. Among NERSC's security goal are: 1. To protect NERSC systems from unauthorized access. 2. To prevent the interruption of services to its users. 3. To prevent misuse or abuse of NERSC resources. Security Incidents If you think there has been a computer security incident you should contact NERSC Security as soon as
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
FastForward CAL Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Exascale Computing » CAL Computer Architecture Lab The goal of the Computer Architecture Laboratory (CAL) is engage in research and development into energy efficient and effective processor and memory architectures for DOE's Exascale program. CAL coordinates hardware architecture R&D activities across the DOE. CAL is a joint NNSA/SC activity involving Sandia National Laboratories (CAL-Sandia) and
Applied Quantum Technology AQT | Open Energy Information
Quantum Technology AQT Jump to: navigation, search Name: Applied Quantum Technology (AQT) Place: Santa Clara, California Zip: 95054 Product: California-based manufacturer of CIGS...
Applied Energy Management | Open Energy Information
Energy Management Jump to: navigation, search Name: Applied Energy Management Place: Huntersville, North Carolina Zip: 28078 Sector: Efficiency, Renewable Energy Product: North...
Applied Materials Inc AMAT | Open Energy Information
manufacturer of equipment used in solar (silicon, thin-film, BIPV), semiconductor, and LCD markets. References: Applied Materials Inc (AMAT)1 This article is a stub. You can...
Sixth SIAM conference on applied linear algebra: Final program and abstracts. Final technical report
1997-12-31
Linear algebra plays a central role in mathematics and applications. The analysis and solution of problems from an amazingly wide variety of disciplines depend on the theory and computational techniques of linear algebra. In turn, the diversity of disciplines depending on linear algebra also serves to focus and shape its development. Some problems have special properties (numerical, structural) that can be exploited. Some are simply so large that conventional approaches are impractical. New computer architectures motivate new algorithms, and fresh ways to look at old ones. The pervasive nature of linear algebra in analyzing and solving problems means that people from a wide spectrum--universities, industrial and government laboratories, financial institutions, and many others--share an interest in current developments in linear algebra. This conference aims to bring them together for their mutual benefit. Abstracts of papers presented are included.
Office of Energy Efficiency and Renewable Energy (EERE)
Presentation given by Oak Ridge National Laboratory (ORNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about...
Personal Computer Inventory System
Energy Science and Technology Software Center (OSTI)
1993-10-04
PCIS is a database software system that is used to maintain a personal computer hardware and software inventory, track transfers of hardware and software, and provide reports.
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
60 Years of Computing | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
60 Years of Computing 60 Years of Computing
Nuclear Facilities and Applied Technologies at Sandia
Wheeler, Dave; Kaiser, Krista; Martin, Lonnie; Hanson, Don; Harms, Gary; Quirk, Tom
2014-11-28
The Nuclear Facilities and Applied Technologies organization at Sandia National Laboratories Technical Area Five (TA-V) is the leader in advancing nuclear technologies through applied radiation science and unique nuclear environments. This video describes the organizations capabilities, facilities, and culture.
Stone, J.J. Jr.; Bettis, E.S.; Mann, E.R.
1957-10-01
The electronic digital computer is designed to solve systems involving a plurality of simultaneous linear equations. The computer can solve a system which converges rather rapidly when using Von Seidel's method of approximation and performs the summations required for solving for the unknown terms by a method of successive approximations.
Energy Science and Technology Software Center (OSTI)
2004-03-01
The Compute Processor Allocator (CPA) provides an efficient and reliable mechanism for managing and allotting processors in a massively parallel (MP) computer. It maintains information in a database on the health. configuration and allocation of each processor. This persistent information is factored in to each allocation decision. The CPA runs in a distributed fashion to avoid a single point of failure.
Editorial: Mathematical Methods and Modeling in Machine Fault Diagnosis
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Yan, Ruqiang; Chen, Xuefeng; Li, Weihua; Sheng, Shuangwen
2014-12-18
Modern mathematics has commonly been utilized as an effective tool to model mechanical equipment so that their dynamic characteristics can be studied analytically. This will help identify potential failures of mechanical equipment by observing change in the equipment’s dynamic parameters. On the other hand, dynamic signals are also important and provide reliable information about the equipment’s working status. Modern mathematics has also provided us with a systematic way to design and implement various signal processing methods, which are used to analyze these dynamic signals, and to enhance intrinsic signal components that are directly related to machine failures. This special issuemore » is aimed at stimulating not only new insights on mathematical methods for modeling but also recently developed signal processing methods, such as sparse decomposition with potential applications in machine fault diagnosis. Finally, the papers included in this special issue provide a glimpse into some of the research and applications in the field of machine fault diagnosis through applications of the modern mathematical methods.« less
Editorial: Mathematical Methods and Modeling in Machine Fault Diagnosis
Yan, Ruqiang; Chen, Xuefeng; Li, Weihua; Sheng, Shuangwen
2014-12-18
Modern mathematics has commonly been utilized as an effective tool to model mechanical equipment so that their dynamic characteristics can be studied analytically. This will help identify potential failures of mechanical equipment by observing change in the equipment’s dynamic parameters. On the other hand, dynamic signals are also important and provide reliable information about the equipment’s working status. Modern mathematics has also provided us with a systematic way to design and implement various signal processing methods, which are used to analyze these dynamic signals, and to enhance intrinsic signal components that are directly related to machine failures. This special issue is aimed at stimulating not only new insights on mathematical methods for modeling but also recently developed signal processing methods, such as sparse decomposition with potential applications in machine fault diagnosis. Finally, the papers included in this special issue provide a glimpse into some of the research and applications in the field of machine fault diagnosis through applications of the modern mathematical methods.
Innovative mathematical modeling in environmental remediation
Yeh, Gour T.; Gwo, Jin Ping; Siegel, Malcolm D.; Li, Ming-Hsu; Fang, Yilin; Zhang, Fan; Luo, Wensui; Yabusaki, Steven B.
2013-05-01
There are two different ways to model reactive transport: ad hoc and innovative reaction-based approaches. The former, such as the Kd simplification of adsorption, has been widely employed by practitioners, while the latter has been mainly used in scientific communities for elucidating mechanisms of biogeochemical transport processes. It is believed that innovative mechanistic-based models could serve as protocols for environmental remediation as well. This paper reviews the development of a mechanistically coupled fluid flow, thermal transport, hydrologic transport, and reactive biogeochemical model and example-applications to environmental remediation problems. Theoretical bases are sufficiently described. Four example problems previously carried out are used to demonstrate how numerical experimentation can be used to evaluate the feasibility of different remediation approaches. The first one involved the application of a 56-species uranium tailing problem to the Melton Branch Subwatershed at Oak Ridge National Laboratory (ORNL) using the parallel version of the model. Simulations were made to demonstrate the potential mobilization of uranium and other chelating agents in the proposed waste disposal site. The second problem simulated laboratory-scale system to investigate the role of natural attenuation in potential off-site migration of uranium from uranium mill tailings after restoration. It showed inadequacy of using a single Kd even for a homogeneous medium. The third example simulated laboratory experiments involving extremely high concentrations of uranium, technetium, aluminum, nitrate, and toxic metals (e.g.,Ni, Cr, Co).The fourth example modeled microbially-mediated immobilization of uranium in an unconfined aquifer using acetate amendment in a field-scale experiment. The purposes of these modeling studies were to simulate various mechanisms of mobilization and immobilization of radioactive wastes and to illustrate how to apply reactive transport models
Indirection and computer security.
Berg, Michael J.
2011-09-01
The discipline of computer science is built on indirection. David Wheeler famously said, 'All problems in computer science can be solved by another layer of indirection. But that usually will create another problem'. We propose that every computer security vulnerability is yet another problem created by the indirections in system designs and that focusing on the indirections involved is a better way to design, evaluate, and compare security solutions. We are not proposing that indirection be avoided when solving problems, but that understanding the relationships between indirections and vulnerabilities is key to securing computer systems. Using this perspective, we analyze common vulnerabilities that plague our computer systems, consider the effectiveness of currently available security solutions, and propose several new security solutions.
Runnels, Scott Robert; Caldwell, Wendy; Brown, Barton Jed; Pederson, Clark; Brown, Justin; Burrill, Daniel; Feinblum, David; Hyde, David; Levick, Nathan; Lyngaas, Isaac; Maeng, Brad; Reed, Richard LeRoy; Sarno-Smith, Lois; Shohet, Gil; Skarda, Jinhie; Stevens, Josey; Zeppetello, Lucas; Grossman-Ponemon, Benjamin; Bottini, Joseph Larkin; Loudon, Tyson Shane; VanGessel, Francis Gilbert; Nagaraj, Sriram; Price, Jacob
2015-10-15
The two primary purposes of LANL’s Computational Physics Student Summer Workshop are (1) To educate graduate and exceptional undergraduate students in the challenges and applications of computational physics of interest to LANL, and (2) Entice their interest toward those challenges. Computational physics is emerging as a discipline in its own right, combining expertise in mathematics, physics, and computer science. The mathematical aspects focus on numerical methods for solving equations on the computer as well as developing test problems with analytical solutions. The physics aspects are very broad, ranging from low-temperature material modeling to extremely high temperature plasma physics, radiation transport and neutron transport. The computer science issues are concerned with matching numerical algorithms to emerging architectures and maintaining the quality of extremely large codes built to perform multi-physics calculations. Although graduate programs associated with computational physics are emerging, it is apparent that the pool of U.S. citizens in this multi-disciplinary field is relatively small and is typically not focused on the aspects that are of primary interest to LANL. Furthermore, more structured foundations for LANL interaction with universities in computational physics is needed; historically interactions rely heavily on individuals’ personalities and personal contacts. Thus a tertiary purpose of the Summer Workshop is to build an educational network of LANL researchers, university professors, and emerging students to advance the field and LANL’s involvement in it. This report includes both the background for the program and the reports from the students.
Computing and Computational Sciences Directorate - Information Technology
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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
Computational Nuclear Structure | Argonne Leadership Computing Facility
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Excellent scaling is achieved by the production Automatic Dynamic Load Balancing (ADLB) library on the BG/P. Computational Nuclear Structure PI Name: David Dean Hai Nam PI Email: namha@ornl.gov deandj@ornl.gov Institution: Oak Ridge National Laboratory Allocation Program: INCITE Allocation Hours at ALCF: 15 Million Year: 2010 Research Domain: Physics Researchers from Oak Ridge and Argonne national laboratories are using complementary techniques, including Green's Function Monte Carlo, the No
Pi in Applied Optics | GE Global Research
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Inside the Applied Optics Lab II Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) The sPI CAM: Inside the Applied Optics Lab II The sPI Cam visits the Applied Optics Lab to see how Mark Meyers, a physicist and optical engineer at GE Global Research, uses Pi. You Might Also Like lightning bolt We One-Upped Ben Franklin,
Argonne's Laboratory Computing Resource Center : 2005 annual report.
Bair, R. B.; Coghlan, S. C; Kaushik, D. K.; Riley, K. R.; Valdes, J. V.; Pieper, G. P.
2007-06-30
Argonne National Laboratory founded the Laboratory Computing Resource Center in the spring of 2002 to help meet pressing program needs for computational modeling, simulation, and analysis. The guiding mission is to provide critical computing resources that accelerate the development of high-performance computing expertise, applications, and computations to meet the Laboratory's challenging science and engineering missions. The first goal of the LCRC was to deploy a mid-range supercomputing facility to support the unmet computational needs of the Laboratory. To this end, in September 2002, the Laboratory purchased a 350-node computing cluster from Linux NetworX. This cluster, named 'Jazz', achieved over a teraflop of computing power (10{sup 12} floating-point calculations per second) on standard tests, making it the Laboratory's first terascale computing system and one of the fifty fastest computers in the world at the time. Jazz was made available to early users in November 2002 while the system was undergoing development and configuration. In April 2003, Jazz was officially made available for production operation. Since then, the Jazz user community has grown steadily. By the end of fiscal year 2005, there were 62 active projects on Jazz involving over 320 scientists and engineers. These projects represent a wide cross-section of Laboratory expertise, including work in biosciences, chemistry, climate, computer science, engineering applications, environmental science, geoscience, information science, materials science, mathematics, nanoscience, nuclear engineering, and physics. Most important, many projects have achieved results that would have been unobtainable without such a computing resource. The LCRC continues to improve the computational science and engineering capability and quality at the Laboratory. Specific goals include expansion of the use of Jazz to new disciplines and Laboratory initiatives, teaming with Laboratory infrastructure providers to develop
Eriksson, I.V.
1994-12-31
The following message was recently posted on a bulletin board and clearly shows the relevance of the conference theme: {open_quotes}The computer and digital networks seem poised to change whole regions of human activity -- how we record knowledge, communicate, learn, work, understand ourselves and the world. What`s the best framework for understanding this digitalization, or virtualization, of seemingly everything? ... Clearly, symbolic tools like the alphabet, book, and mechanical clock have changed some of our most fundamental notions -- self, identity, mind, nature, time, space. Can we say what the computer, a purely symbolic {open_quotes}machine,{close_quotes} is doing to our thinking in these areas? Or is it too early to say, given how much more powerful and less expensive the technology seems destinated to become in the next few decades?{close_quotes} (Verity, 1994) Computers certainly affect our lives and way of thinking but what have computers to do with ethics? A narrow approach would be that on the one hand people can and do abuse computer systems and on the other hand people can be abused by them. Weli known examples of the former are computer comes such as the theft of money, services and information. The latter can be exemplified by violation of privacy, health hazards and computer monitoring. Broadening the concept from computers to information systems (ISs) and information technology (IT) gives a wider perspective. Computers are just the hardware part of information systems which also include software, people and data. Information technology is the concept preferred today. It extends to communication, which is an essential part of information processing. Now let us repeat the question: What has IT to do with ethics? Verity mentioned changes in {open_quotes}how we record knowledge, communicate, learn, work, understand ourselves and the world{close_quotes}.
Convergence: Computing and communications
Catlett, C.
1996-12-31
This paper highlights the operations of the National Center for Supercomputing Applications (NCSA). NCSA is developing and implementing a national strategy to create, use, and transfer advanced computing and communication tools and information technologies for science, engineering, education, and business. The primary focus of the presentation is historical and expected growth in the computing capacity, personal computer performance, and Internet and WorldWide Web sites. Data are presented to show changes over the past 10 to 20 years in these areas. 5 figs., 4 tabs.
Overview of the NMSEA applied research program
Stickney, B.; Wilson, A.
1980-01-01
Recently the NMSEA has seen the need to augment its other informational programs with a program of in-house applied research. The reasoning behind this move is presented here along with and accounting of past research activities.
Applied Energy Programs, SPO-AE: LANL
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Karl Jonietz 505-663-5539 Program Manager Melissa Fox 505-663-5538 Budget Analyst Fawn Gore 505-665-0224 The Applied Energy Program Office (SPO-AE) manages Los Alamos National...
2011 Computation Directorate Annual Report
Crawford, D L
2012-04-11
From its founding in 1952 until today, Lawrence Livermore National Laboratory (LLNL) has made significant strategic investments to develop high performance computing (HPC) and its application to national security and basic science. Now, 60 years later, the Computation Directorate and its myriad resources and capabilities have become a key enabler for LLNL programs and an integral part of the effort to support our nation's nuclear deterrent and, more broadly, national security. In addition, the technological innovation HPC makes possible is seen as vital to the nation's economic vitality. LLNL, along with other national laboratories, is working to make supercomputing capabilities and expertise available to industry to boost the nation's global competitiveness. LLNL is on the brink of an exciting milestone with the 2012 deployment of Sequoia, the National Nuclear Security Administration's (NNSA's) 20-petaFLOP/s resource that will apply uncertainty quantification to weapons science. Sequoia will bring LLNL's total computing power to more than 23 petaFLOP/s-all brought to bear on basic science and national security needs. The computing systems at LLNL provide game-changing capabilities. Sequoia and other next-generation platforms will enable predictive simulation in the coming decade and leverage industry trends, such as massively parallel and multicore processors, to run petascale applications. Efficient petascale computing necessitates refining accuracy in materials property data, improving models for known physical processes, identifying and then modeling for missing physics, quantifying uncertainty, and enhancing the performance of complex models and algorithms in macroscale simulation codes. Nearly 15 years ago, NNSA's Accelerated Strategic Computing Initiative (ASCI), now called the Advanced Simulation and Computing (ASC) Program, was the critical element needed to shift from test-based confidence to science-based confidence. Specifically, ASCI/ASC accelerated
SAGE, Summer of Applied Geophysical Experience
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Apply Who Qualifies Special Undergrad Information Contributors Faculty Past Programs Photo Gallery NSEC » CSES » SAGE SAGE, the Summer of Applied Geophysical Experience A National Science Foundation Research Experiences for Undergraduates program Contacts Institute Director Reinhard Friedel-Los Alamos SAGE Co-Director W. Scott Baldridge-Los Alamos SAGE Co-Director Larry Braile-Purdue University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Email SAGE Class of 2016 SAGE 2016
How to Apply | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
How to Apply How to Apply Online Application Available at www.zintellect.com/Posting/Details/1997 Application deadline May 20, 2016. Familiarize yourself with the benefits, obligations, eligibility requirements, and evaluation criteria. Familiarize yourself with the requirements and obligations to determine whether your education and professional goals are well aligned with the EERE Postdoctoral Research Awards. Read the Evaluation Criteria that will be used to evaluate your application. It is
LANSCE | Lujan Center | Apply for Beamtime
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Apply for Beamtime LANSCE User Resources Tips for a Successful Proposal Step 1: Apply for Beam Time 1. Select an Instrument and a Local Contact 2. Submit Your Proposal Step 2: Before You Arrive 1. Complete the LANSCE User Facility Agreement Questionnaire 2. Arrange for Site Access 3. Prepare for Your Experiment: Contact Lujan Experiment Coordinator to arrange shipping of your samples. Talk to the beamline scientist about any electrical equipment you might bring. 4. Complete your training Step 3:
Partial Support of Meeting of the Board on Mathematical Sciences and Their Applications
Weidman, Scott
2014-08-31
During the performance period, BMSA released the following major reports: Transforming Combustion Research through Cyberinfrastructure (2011); Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification (2012); Fueling Innovation and Discovery: The Mathematical Sciences in the 21st Century (2012); Aging and the Macroeconomy: Long-Term Implications of an Older Population (2012); The Mathematical Sciences in 2025 (2013); Frontiers in Massive Data Analysis (2013); and Developing a 21st Century Global Library for Mathematics Research (2014).
Goldsby, Michael E.; Mayo, Jackson R.; Bhattacharyya, Arnab; Armstrong, Robert C.; Vanderveen, Keith
2008-09-01
The goal of this research was to examine foundational methods, both computational and theoretical, that can improve the veracity of entity-based complex system models and increase confidence in their predictions for emergent behavior. The strategy was to seek insight and guidance from simplified yet realistic models, such as cellular automata and Boolean networks, whose properties can be generalized to production entity-based simulations. We have explored the usefulness of renormalization-group methods for finding reduced models of such idealized complex systems. We have prototyped representative models that are both tractable and relevant to Sandia mission applications, and quantified the effect of computational renormalization on the predictive accuracy of these models, finding good predictivity from renormalized versions of cellular automata and Boolean networks. Furthermore, we have theoretically analyzed the robustness properties of certain Boolean networks, relevant for characterizing organic behavior, and obtained precise mathematical constraints on systems that are robust to failures. In combination, our results provide important guidance for more rigorous construction of entity-based models, which currently are often devised in an ad-hoc manner. Our results can also help in designing complex systems with the goal of predictable behavior, e.g., for cybersecurity.
Argonne Leadership Computing Facility
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a n n u a l r e p o r t 2 0 1 2 Argonne Leadership Computing Facility Director's Message .............................................................................................................................1 About ALCF ......................................................................................................................................... 2 IntroDuCIng MIrA Introducing Mira
Edison Electrifies Scientific Computing
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... 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 ...
Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.
2010-10-01
Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for both academia and government, including configuration options, hardware issues, challenges, and solutions.
Advanced Simulation and Computing
National Nuclear Security Administration (NNSA)
NA-ASC-117R-09-Vol.1-Rev.0 Advanced Simulation and Computing PROGRAM PLAN FY09 October 2008 ASC Focal Point Robert Meisner, Director DOE/NNSA NA-121.2 202-586-0908 Program Plan Focal Point for NA-121.2 Njema Frazier DOE/NNSA NA-121.2 202-586-5789 A Publication of the Office of Advanced Simulation & Computing, NNSA Defense Programs i Contents Executive Summary ----------------------------------------------------------------------------------------------- 1 I. Introduction
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TRACC Cluster Computer With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD 16 core, 2.3 GHz, 32 GB processors. See also Computing Resources.
Argonne Leadership Computing Facility
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Argonne National Laboratory | 9700 South Cass Avenue | Argonne, IL 60439 | www.anl.gov | September 2013 alcf_keyfacts_fs_0913 Key facts about the Argonne Leadership Computing Facility User support and services Skilled experts at the ALCF enable researchers to conduct breakthrough science on the Blue Gene system in key ways. Catalysts are computational scientist with domain expertise and work directly with project principal investigators to maximize discovery and reduce time-to- solution.
Stencil Computation Optimization
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Stencil Computation Optimization and Auto-tuning on State-of-the-Art Multicore Architectures Kaushik Datta ∗† , Mark Murphy † , Vasily Volkov † , Samuel Williams ∗† , Jonathan Carter ∗ , Leonid Oliker ∗† , David Patterson ∗† , John Shalf ∗ , and Katherine Yelick ∗† ∗ CRD/NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA † Computer Science Division, University of California at Berkeley, Berkeley, CA 94720, USA Abstract Understanding the most
Compute Reservation Request Form
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Compute Reservation Request Form Compute Reservation Request Form Users can request a scheduled reservation of machine resources if their jobs have special needs that cannot be accommodated through the regular batch system. A reservation brings some portion of the machine to a specific user or project for an agreed upon duration. Typically this is used for interactive debugging at scale or real time processing linked to some experiment or event. It is not intended to be used to guarantee fast
Computing | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Computing Computing Fun fact: Most systems require air conditioning or chilled water to cool super powerful supercomputers, but the Olympus supercomputer at Pacific Northwest National Laboratory is cooled by the location's 65 degree groundwater. Traditional cooling systems could cost up to $61,000 in electricity each year, but this more efficient setup uses 70 percent less energy. | Photo courtesy of PNNL. Fun fact: Most systems require air conditioning or chilled water to cool super powerful
Computation supporting biodefense
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Conference on High-Speed Computing LANL / LLNL / SNL Salishan Lodge, Gleneden Beach, Oregon 24 April 2003 Murray Wolinsky murray@lanl.gov The Role of Computation in Biodefense 1. Biothreat 101 2. Bioinformatics 101 Examples 3. Sequence analysis: mpiBLAST Feng 4. Detection: KPATH Slezak 5. Protein structure: ROSETTA Strauss 6. Real-time epidemiology: EpiSIMS Eubank 7. Forensics: VESPA Myers, Korber 8. Needs System level analytical capabilities Enhanced phylogenetic algorithms Novel
Computational Physics and Methods
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2 Computational Physics and Methods Performing innovative simulations of physics phenomena on tomorrow's scientific computing platforms Growth and emissivity of young galaxy hosting a supermassive black hole as calculated in cosmological code ENZO and post-processed with radiative transfer code AURORA. image showing detailed turbulence simulation, Rayleigh-Taylor Turbulence imaging: the largest turbulence simulations to date Advanced multi-scale modeling Turbulence datasets Density iso-surfaces
Effects of Relativity Lead to"Warp Speed" Computations
Vay, J.-L.
2007-11-01
A scientist at Lawrence Berkeley National Laboratory has discovered that a previously unnoticed consequence of Einstein's special theory of relativity can lead to speedup of computer calculations by orders of magnitude when applied to the computer modeling of a certain class of physical systems. This new finding offers the possibility of tackling some problems in a much shorter time and with far more precision than was possible before, as well as studying some configurations in every detail for the first time. The basis of Einstein's theory is the principle of relativity, which states that the laws of physics are the same for all observers, whether the 'observer' is a turtle 'racing' with a rabbit, or a beam of particles moving at near light speed. From the invariance of the laws of physics, one may be tempted to infer that the complexity of a system is independent of the motion of the observer, and consequently, a computer simulation will require the same number of mathematical operations, independently of the reference frame that is used for the calculation. Length contraction and time dilation are well known consequences of the special theory of relativity which lead to very counterintuitive effects. An alien observing human activity through a telescope in a spaceship traveling in the Vicinity of the earth near the speed of light would see everything flattened in the direction of propagation of its spaceship (for him, the earth would have the shape of a pancake), while all motions on earth would appear extremely slow, slowed almost to a standstill. Conversely, a space scientist observing the alien through a telescope based on earth would see a flattened alien almost to a standstill in a flattened spaceship. Meanwhile, an astronaut sitting in a spaceship moving at some lower velocity than the alien spaceship with regard to earth might see both the alien spaceship and the earth flattened in the same proportion and the motion unfolding in each of them at the same
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
Gardner, Shea Nicole
2007-10-23
A method and system for tailoring treatment regimens to individual patients with diseased cells exhibiting evolution of resistance to such treatments. A mathematical model is provided which models rates of population change of proliferating and quiescent diseased cells using cell kinetics and evolution of resistance of the diseased cells, and pharmacokinetic and pharmacodynamic models. Cell kinetic parameters are obtained from an individual patient and applied to the mathematical model to solve for a plurality of treatment regimens, each having a quantitative efficacy value associated therewith. A treatment regimen may then be selected from the plurlaity of treatment options based on the efficacy value.
Intro to computer programming, no computer required! | Argonne...
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... "Computational thinking requires you to think in abstractions," said Papka, who spoke to computer science and computer-aided design students at Kaneland High School in Maple Park about ...
Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
Song, Hyun-Seob; Cannon, William R.; Beliaev, Alex S.; Konopka, Allan
2014-10-17
Microorganisms in nature form diverse communities that dynamically change in structure and function in response to environmental variations. As a complex adaptive system, microbial communities show higher-order properties that are not present in individual microbes, but arise from their interactions. Predictive mathematical models not only help to understand the underlying principles of the dynamics and emergent properties of natural and synthetic microbial communities, but also provide key knowledge required for engineering them. In this article, we provide an overview of mathematical tools that include not only current mainstream approaches, but also less traditional approaches that, in our opinion, can be potentially useful. We discuss a broad range of methods ranging from low-resolution supra-organismal to high-resolution individual-based modeling. Particularly, we highlight the integrative approaches that synergistically combine disparate methods. In conclusion, we provide our outlook for the key aspects that should be further developed to move microbial community modeling towards greater predictive power.
Researchers develop a new mathematical tool for analyzing and evaluating
National Nuclear Security Administration (NNSA)
nuclear material | National Nuclear Security Administration | (NNSA) Researchers develop a new mathematical tool for analyzing and evaluating nuclear material Friday, January 8, 2016 - 12:00am Lawrence Livermore National Laboratory scientist Les Nakae, front, shows off a liquid scintillator detector for measuring neutrons and gamma rays with nanosecond timing, which requires the new theoretical formulations detailed in a recent research paper. Joining him are team members, from left: Neal
DOE Announces $60 Million in Projects to Accelerate Scientific...
... The centers will specialize in applied mathematics, computer science, distributed computing or visualization and will be closely tied to specific science applications. SciDAC-2 ...
Programming Challenges Presentations | U.S. DOE Office of Science...
Office of Science (SC) Website
Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I ...
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Applied Mathematics: Pieter Swart, T-5 Computer Science: Pat McCormick, CCS-1 Computational Partnerships: Galen Shipman, CCS-7 Basic Energy Sciences Materials Sciences & ...
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Computing Research (ASCR) program is to advance applied mathematics and computer science; deliver, in partnership with disciplinary science, the most advanced ...
DOE SC Exascale Requirements Reviews: High Energy Physics
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computational domain scientists, DOE planners and administrators, and experts in computer science and applied mathematics to determine the requirements for an exascale ecosystem ...
Challenges to be Addressed | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I ...
in High Performance Computing Computer System, Cluster, and Networking...
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iSSH v. Auditd: Intrusion Detection in High Performance Computing Computer System, Cluster, and Networking Summer Institute David Karns, New Mexico State University Katy Protin,...
EEG and MEG source localization using recursively applied (RAP) MUSIC
Mosher, J.C.; Leahy, R.M.
1996-12-31
The multiple signal characterization (MUSIC) algorithm locates multiple asynchronous dipolar sources from electroencephalography (EEG) and magnetoencephalography (MEG) data. A signal subspace is estimated from the data, then the algorithm scans a single dipole model through a three-dimensional head volume and computes projections onto this subspace. To locate the sources, the user must search the head volume for local peaks in the projection metric. Here we describe a novel extension of this approach which we refer to as RAP (Recursively APplied) MUSIC. This new procedure automatically extracts the locations of the sources through a recursive use of subspace projections, which uses the metric of principal correlations as a multidimensional form of correlation analysis between the model subspace and the data subspace. The dipolar orientations, a form of `diverse polarization,` are easily extracted using the associated principal vectors.
Method of applying coatings to substrates
Hendricks, Charles D.
1991-01-01
A method for applying novel coatings to substrates is provided. The ends of multiplicity of rods of different materials are melted by focused beams of laser light. Individual electric fields are applied to each of the molten rod ends, thereby ejecting charged particles that include droplets, atomic clusters, molecules, and atoms. The charged particles are separately transported, by the accelerations provided by electric potentials produced by an electrode structure, to substrates where they combine and form the coatings. Layered and thickness graded coatings comprised of hithereto unavailable compositions, are provided.
Extensible Computational Chemistry Environment
Energy Science and Technology Software Center (OSTI)
2012-08-09
ECCE provides a sophisticated graphical user interface, scientific visualization tools, and the underlying data management framework enabling scientists to efficiently set up calculations and store, retrieve, and analyze the rapidly growing volumes of data produced by computational chemistry studies. ECCE was conceived as part of the Environmental Molecular Sciences Laboratory construction to solve the problem of researchers being able to effectively utilize complex computational chemistry codes and massively parallel high performance compute resources. Bringing themore » power of these codes and resources to the desktops of researcher and thus enabling world class research without users needing a detailed understanding of the inner workings of either the theoretical codes or the supercomputers needed to run them was a grand challenge problem in the original version of the EMSL. ECCE allows collaboration among researchers using a web-based data repository where the inputs and results for all calculations done within ECCE are organized. ECCE is a first of kind end-to-end problem solving environment for all phases of computational chemistry research: setting up calculations with sophisticated GUI and direct manipulation visualization tools, submitting and monitoring calculations on remote high performance supercomputers without having to be familiar with the details of using these compute resources, and performing results visualization and analysis including creating publication quality images. ECCE is a suite of tightly integrated applications that are employed as the user moves through the modeling process.« less
computers | National Nuclear Security Administration
National Nuclear Security Administration (NNSA)
computers NNSA Announces Procurement of Penguin Computing Clusters to Support Stockpile Stewardship at National Labs The National Nuclear Security Administration's (NNSA's) Lawrence Livermore National Laboratory today announced the awarding of a subcontract to Penguin Computing - a leading developer of high-performance Linux cluster computing systems based in Silicon Valley - to bolster computing for stockpile... Sandia donates 242 computers to northern California schools Sandia National
Maggi, F.M.; Riley, W.J.
2009-11-01
We present a mathematical treatment of the kinetic equations that describe isotopologue and isotopomer speciation and fractionation during enzyme-catalyzed biochemical reactions. These equations, presented here with the name GEBIK (general equations for biochemical isotope kinetics) and GEBIF (general equations for biochemical isotope fractionation), take into account microbial biomass and enzyme dynamics, reaction stoichiometry, isotope substitution number, and isotope location within each isotopologue and isotopomer. In addition to solving the complete GEBIK and GEBIF, we also present and discuss two approximations to the full solutions under the assumption of biomass-free and enzyme steady-state, and under the quasi-steady-state assumption as applied to the complexation rate. The complete and approximate approaches are applied to observations of biological denitrification in soils. Our analysis highlights that the full GEBIK and GEBIF provide a more accurate description of concentrations and isotopic compositions of substrates and products throughout the reaction than do the approximate forms. We demonstrate that the isotopic effects of a biochemical reaction depend, in the most general case, on substrate and complex concentrations and, therefore, the fractionation factor is a function of time. We also demonstrate that inverse isotopic effects can occur for values of the fractionation factor smaller than 1, and that reactions that do not discriminate isotopes do not necessarily imply a fractionation factor equal to 1.
Computer simulation | Open Energy Information
Computer simulation Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Computer simulation Author wikipedia Published wikipedia, 2013 DOI Not Provided...
Super recycled water: quenching computers
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Super recycled water: quenching computers Super recycled water: quenching computers New facility and methods support conserving water and creating recycled products. Using reverse ...
Fermilab | Science at Fermilab | Computing
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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 ...
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 ...
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 ...
Anderson, Thomas G.
2004-12-21
The present invention provides a method of human-computer interfacing. Force feedback allows intuitive navigation and control near a boundary between regions in a computer-represented space. For example, the method allows a user to interact with a virtual craft, then push through the windshield of the craft to interact with the virtual world surrounding the craft. As another example, the method allows a user to feel transitions between different control domains of a computer representation of a space. The method can provide for force feedback that increases as a user's locus of interaction moves near a boundary, then perceptibly changes (e.g., abruptly drops or changes direction) when the boundary is traversed.
A mathematical liver model and its application to system optimization and texture analysis
Cargill, E.B.
1989-01-01
This dissertation presents realistic mathematical models of normal and diseased livers and a nuclear medicine camera. The mathematical model of a normal liver is developed by creating a data set of points on the surface of the liver and fitting it to a truncated set of spherical harmonics. We model the depth-dependent MTF of a scintillation camera taking into account the effects of Compton scatter, linear attenuation, intrinsic detector resolution, collimator resolution, and Poisson noise. The differential diagnosis on a liver scan includes normal, focal disease, and diffuse disease. Object classes of normal livers are created by randomly perturbing the spherical harmonic coefficients. Object classes of livers with focal disease are created by introducing cold ellipsoids within the liver volume. Cirrhotic livers are created by modelling the gross morphological changes, heterogenous uptake, and decreased overall uptake. Simulated nuclear medicine images are made by projecting livers through nuclear imaging systems. The combination of object classes of simulated livers and models of different imaging systems is applied to imaging-system design optimization in a psycho-physical study. Human observer performance on simulated liver images made on nine different systems is compared to the Hotelling trace criterion (HTC). The system with the best observer performance is judged to be the best system. The correlation between the human performance metric d{sub a} and the HTC for this study was 0.829, suggesting that the HTC may have value as a predictor of observer performance. Texture in a liver scan is related to the three-dimensional distribution of functional acini, which changes with disease. One measure of texture is the fractal dimension, related to the Fourier power spectrum. We measured the average radial power spectra of 70 liver scans.
How to Apply for Senior Executive positions
Broader source: Energy.gov [DOE]
To apply vacancies for SENIOR EXECUTIVE SERVICE (SES) , SENIOR LEVEL (SL), SCIENTIFIC AND PROFESSIONAL (ST) positions within the Department of Energy please visit OPM's website: http://www.usajobs.gov. From this site, you may download announcements for vacancies of interest to you.
(Applied mass spectrometry in the health sciences)
Glish, G.L.
1990-05-03
The traveler attended the 2nd International Symposium on Applied Mass Spectrometry in the Health Sciences and presented and invited paper. Papers presented that were of interest to ORNL mass spectrometry programs involved ionization of large molecules by electrospray and laser desorption. Other papers of interest included applications of MS/MS for structural elucidation and new instrumentation.
Uniform insulation applied-B ion diode
Seidel, David B.; Slutz, Stephen A.
1988-01-01
An applied-B field extraction ion diode has uniform insulation over an anode surface for increased efficiency. When the uniform insulation is accomplished with anode coils, and a charge-exchange foil is properly placed, the ions may be focused at a point on the z axis.
A Compact Code for Simulations of Quantum Error Correction in Classical Computers
Nyman, Peter
2009-03-10
This study considers implementations of error correction in a simulation language on a classical computer. Error correction will be necessarily in quantum computing and quantum information. We will give some examples of the implementations of some error correction codes. These implementations will be made in a more general quantum simulation language on a classical computer in the language Mathematica. The intention of this research is to develop a programming language that is able to make simulations of all quantum algorithms and error corrections in the same framework. The program code implemented on a classical computer will provide a connection between the mathematical formulation of quantum mechanics and computational methods. This gives us a clear uncomplicated language for the implementations of algorithms.
An introduction to computer viruses
Brown, D.R.
1992-03-01
This report on computer viruses is based upon a thesis written for the Master of Science degree in Computer Science from the University of Tennessee in December 1989 by David R. Brown. This thesis is entitled An Analysis of Computer Virus Construction, Proliferation, and Control and is available through the University of Tennessee Library. This paper contains an overview of the computer virus arena that can help the reader to evaluate the threat that computer viruses pose. The extent of this threat can only be determined by evaluating many different factors. These factors include the relative ease with which a computer virus can be written, the motivation involved in writing a computer virus, the damage and overhead incurred by infected systems, and the legal implications of computer viruses, among others. Based upon the research, the development of a computer virus seems to require more persistence than technical expertise. This is a frightening proclamation to the computing community. The education of computer professionals to the dangers that viruses pose to the welfare of the computing industry as a whole is stressed as a means of inhibiting the current proliferation of computer virus programs. Recommendations are made to assist computer users in preventing infection by computer viruses. These recommendations support solid general computer security practices as a means of combating computer viruses.
Synchronizing compute node time bases in a parallel computer
Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip
2015-01-27
Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.
Synchronizing compute node time bases in a parallel computer
Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip
2014-12-30
Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.
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Z Yaakobi, Eitan (Eitan Yaakobi) - Department of Electrical Engineering, California Institute of Technology Yagan, Osman (Osman Yagan) - Department of Electrical and Computer ...
MHD computations for stellarators
Johnson, J.L.
1985-12-01
Considerable progress has been made in the development of computational techniques for studying the magnetohydrodynamic equilibrium and stability properties of three-dimensional configurations. Several different approaches have evolved to the point where comparison of results determined with different techniques shows good agreement. 55 refs., 7 figs.
Computer Security Risk Assessment
Energy Science and Technology Software Center (OSTI)
1992-02-11
LAVA/CS (LAVA for Computer Security) is an application of the Los Alamos Vulnerability Assessment (LAVA) methodology specific to computer and information security. The software serves as a generic tool for identifying vulnerabilities in computer and information security safeguards systems. Although it does not perform a full risk assessment, the results from its analysis may provide valuable insights into security problems. LAVA/CS assumes that the system is exposed to both natural and environmental hazards and tomore » deliberate malevolent actions by either insiders or outsiders. The user in the process of answering the LAVA/CS questionnaire identifies missing safeguards in 34 areas ranging from password management to personnel security and internal audit practices. Specific safeguards protecting a generic set of assets (or targets) from a generic set of threats (or adversaries) are considered. There are four generic assets: the facility, the organization''s environment; the hardware, all computer-related hardware; the software, the information in machine-readable form stored both on-line or on transportable media; and the documents and displays, the information in human-readable form stored as hard-copy materials (manuals, reports, listings in full-size or microform), film, and screen displays. Two generic threats are considered: natural and environmental hazards, storms, fires, power abnormalities, water and accidental maintenance damage; and on-site human threats, both intentional and accidental acts attributable to a perpetrator on the facility''s premises.« less
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.
ASCR Committees of Visitors | U.S. DOE Office of Science (SC...
Office of Science (SC) Website
ASCAC COV Report on Applied Mathematics .pdf file (178KB) ASCR Response to ASCAC COV Report on Applied Mathematics .pdf file (110KB) 2012 ASCAC COV Report on Computer Science (CS) ...
computation | National Nuclear Security Administration
National Nuclear Security Administration (NNSA)
computation Groundbreaking Leader of Computation at LLNL Retires Dona Crawford, Associate Director for Computation at NNSA's Lawrence Livermore National Laboratory (LLNL), announced her retirement last week after 15 years of leading Livermore's Computation Directorate. "Dona has successfully led a multidisciplinary 1000-person team that develops and deploys
Fermilab | Science at Fermilab | Computing | Networking
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Detectors and Computing Detectors and Computing Computing Networking Physicists are constantly exchanging information, within Fermilab and between Fermilab and collaborating ...
Computer Science and Information Technology Student Pipeline
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in the areas of Computer Science, Information Technology, Management Information Systems, Computer Security, Software Engineering, Computer Engineering, and Electrical Engineering. ...
Applied Cathode Enhancement and Robustness Technologies (ACERT)
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Accelerators, Electrodynamics » ACERT Applied Cathode Enhancement and Robustness Technologies (ACERT) World leading experts from fields of accelerator design & testing, chemical synthesis of nanomaterials, and shielding application of nanomaterials. thumbnail of Nathan Moody Nathan Moody Principal Investigator (PI) Email ACERT Logo Team Our project team, a part of Los Alamos National Laboratory (LANL) comprised of world leading experts from fields of accelerator design & testing,
Summer of Applied Geophysical Experience Reading List
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Geophysical Experience Reading List Summer of Applied Geophysical Experience Reading List A National Science Foundation Research Experiences for Undergraduates program Contacts Institute Director Reinhard Friedel-Los Alamos SAGE Co-Director W. Scott Baldridge-Los Alamos SAGE Co-Director Larry Braile-Purdue University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Keller, R., Khan, M. A., Morgan, P., et al., 1991, A Comparative Study of the Rio Grande and Kenya rifts, Tectonophys.,
The future of mathematical communication. Final technical report
Christy, J.
1994-12-31
One of the first fruits of cooperation with LBL was the use of the MBone (Multi-Cast Backbone) to broadcast the Conference on the Future of Mathematical Communication, held at MSRI November 30--December 3, 1994. Late last fall, MSRI brought together more than 150 mathematicians, librarians, software developers, representatives of scholarly societies, and both commercial and not-for-profit publishers to discuss the revolution in scholarly communication brought about by digital technology. The conference was funded by the Department of Energy, the National Science Foundation, and the Paul and Gabriella Rosenbaum Foundation. It focused on the impact of the technological revolution on mathematics, but necessarily included issues of a much wider scope. There were talks on electronic publishing, collaboration across the Internet, economic and intellectual property issues, and various new technologies which promise to carry the revolution forward. There were panel discussions of electronic documents in mathematics, the unique nature of electronic journals, technological tools, and the role of scholarly societies. There were focus groups on Developing Countries, K-12 Education, Libraries, and Te{sub X}. The meeting also embodied the promises of the revolution; it was multicast over the MBone channel of the Internet to hundreds of sites around the world and much information on the conference will be available on their World Wide Web server at the URL http://www.msri.org/fmc. The authors have received many comments about the meeting indicating that it has had a profound impact on how the community thinks about how scientists can communicate and make their work public.
A bidirectional coupling procedure applied to multiscale respiratory modeling
Kuprat, A.P.; Kabilan, S.; Carson, J.P.; Corley, R.A.; Einstein, D.R.
2013-07-01
pressure applied to the multiple sets of ODEs. In both the simplified geometry and in the imaging-based geometry, the performance of the method was comparable to that of monolithic schemes, in most cases requiring only a single CFD evaluation per time step. Thus, this new accelerator allows us to begin combining pulmonary CFD models with lower-dimensional models of pulmonary mechanics with little computational overhead. Moreover, because the CFD and lower-dimensional models are totally separate, this framework affords great flexibility in terms of the type and breadth of the adopted lower-dimensional model, allowing the biomedical researcher to appropriately focus on model design. Research funded by the National Heart and Blood Institute Award 1RO1HL073598.
A Bidirectional Coupling Procedure Applied to Multiscale Respiratory Modeling
Kuprat, Andrew P.; Kabilan, Senthil; Carson, James P.; Corley, Richard A.; Einstein, Daniel R.
2013-07-01
In this study, we present a novel multiscale computational framework for efficiently linking multiple lower-dimensional models describing the distal lung mechanics to imaging-based 3D computational fluid dynamics (CFD) models of the upper pulmonary airways in order to incorporate physiologically appropriate outlet boundary conditions. The framework is an extension of the Modified Newton’s Method with nonlinear Krylov accelerator developed by Carlson and Miller [1, 2, 3]. Our extensions include the retention of subspace information over multiple timesteps, and a special correction at the end of a timestep that allows for corrections to be accepted with verified low residual with as little as a single residual evaluation per timestep on average. In the case of a single residual evaluation per timestep, the method has zero additional computational cost compared to uncoupled or unidirectionally coupled simulations. We expect these enhancements to be generally applicable to other multiscale coupling applications where timestepping occurs. In addition we have developed a “pressure-drop” residual which allows for stable coupling of flows between a 3D incompressible CFD application and another (lower-dimensional) fluid system. We expect this residual to also be useful for coupling non-respiratory incompressible fluid applications, such as multiscale simulations involving blood flow. The lower-dimensional models that are considered in this study are sets of simple ordinary differential equations (ODEs) representing the compliant mechanics of symmetric human pulmonary airway trees. To validate the method, we compare the predictions of hybrid CFD-ODE models against an ODE-only model of pulmonary airflow in an idealized geometry. Subsequently, we couple multiple sets of ODEs describing the distal lung to an imaging-based human lung geometry. Boundary conditions in these models consist of atmospheric pressure at the mouth and intrapleural pressure applied to the multiple
A Variable Refrigerant Flow Heat Pump Computer Model in EnergyPlus
Raustad, Richard A.
2013-01-01
This paper provides an overview of the variable refrigerant flow heat pump computer model included with the Department of Energy's EnergyPlusTM whole-building energy simulation software. The mathematical model for a variable refrigerant flow heat pump operating in cooling or heating mode, and a detailed model for the variable refrigerant flow direct-expansion (DX) cooling coil are described in detail.
SCC: The Strategic Computing Complex
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SCC: The Strategic Computing Complex SCC: The Strategic Computing Complex The Strategic Computing Complex (SCC) is a secured supercomputing facility that supports the calculation, modeling, simulation, and visualization of complex nuclear weapons data in support of the Stockpile Stewardship Program. The 300,000-square-foot, vault-type building features an unobstructed 43,500-square-foot computer room, which is an open room about three-fourths the size of a football field. The Strategic Computing
Magellan: A Cloud Computing Testbed
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Magellan News & Announcements Archive Petascale Initiative Exascale Computing APEX Home » R & D » Archive » Magellan: A Cloud Computing Testbed Magellan: A Cloud Computing Testbed Cloud computing is gaining a foothold in the business world, but can clouds meet the specialized needs of scientists? That was one of the questions NERSC's Magellan cloud computing testbed explored between 2009 and 2011. The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Oce
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... - Department of Mathematics, Kutztown University of Pennsylvania McMullen, Curtis T.(Curtis T.McMullen).- Department of Mathematics, Harvard University McNamara, Peter ...
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... Brakocevic) - Department of Mathematics and Statistics, McGill University Brand, Neal (Neal Brand) - Department of Mathematics, University of North Texas Brandolese, Lorenzo ...
Energy Science and Technology Software Center (OSTI)
1992-05-04
DOE-MACSYMA (Project MAC''s SYmbolic MAnipulation system) is a large computer programming system written in LISP. With DOE-MACSYMA the user can differentiate, integrate, take limits, solve systems of linear or polynomial equations, factor polynomials, expand functions in Laurent or Taylor series, solve differential equations (using direct or transform methods), compute Poisson series, plot curves, and manipulate matrices and tensors. A language similar to ALGOL-60 permits users to write their own programs for transforming symbolic expressions. Franzmore » Lisp OPUS 38 provides the environment for the Encore, Celerity, and DEC VAX11 UNIX,SUN(OPUS) versions under UNIX and the Alliant version under Concentrix. Kyoto Common Lisp (KCL) provides the environment for the SUN(KCL),Convex, and IBM PC under UNIX and Data General under AOS/VS.« less
National Nuclear Security Administration (NNSA)
Federal Computer Week: Energy agency launches performance-based pay system By Richard W. Walker Published on March 27, 2008 The Energy Department's National Nuclear Security Administration has launched a new performance- based pay system involving about 2,000 of its 2,500 employees. NNSA officials described the effort as a pilot project that will test the feasibility of the new system, which collapses the traditional 15 General Schedule pay bands into broader pay bands. The new structure
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
GPU Computational Screening of Carbon Capture Materials J. Kim 1 , A Koniges 1 , R. Martin 1 , M. Haranczyk 1 , J. Swisher 2 , and B. Smit 1,2 1 Lawrence Berkeley National Laboratory, Berkeley, CA 94720 2 Department of Chemical Engineering, University of California, Berkeley, Berkeley, CA 94720 E-mail: jihankim@lbl.gov Abstract. In order to reduce the current costs associated with carbon capture technologies, novel materials such as zeolites and metal-organic frameworks that are based on
DOE R&D Accomplishments [OSTI]
Hansche, B. D.
1983-01-01
Computed tomography (CT) is a relatively new radiographic technique which has become widely used in the medical field, where it is better known as computerized axial tomographic (CAT) scanning. This technique is also being adopted by the industrial radiographic community, although the greater range of densities, variation in samples sizes, plus possible requirement for finer resolution make it difficult to duplicate the excellent results that the medical scanners have achieved.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Computing Services - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear
Development of computer graphics
Nuttall, H.E.
1989-07-01
The purpose of this project was to screen and evaluate three graphics packages as to their suitability for displaying concentration contour graphs. The information to be displayed is from computer code simulations describing air-born contaminant transport. The three evaluation programs were MONGO (John Tonry, MIT, Cambridge, MA, 02139), Mathematica (Wolfram Research Inc.), and NCSA Image (National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign). After a preliminary investigation of each package, NCSA Image appeared to be significantly superior for generating the desired concentration contour graphs. Hence subsequent work and this report describes the implementation and testing of NCSA Image on both an Apple MacII and Sun 4 computers. NCSA Image includes several utilities (Layout, DataScope, HDF, and PalEdit) which were used in this study and installed on Dr. Ted Yamada`s Mac II computer. Dr. Yamada provided two sets of air pollution plume data which were displayed using NCSA Image. Both sets were animated into a sequential expanding plume series.
Khots, Boris; Khots, Dmitriy
2014-12-10
Certain results that have been predicted by Quantum Mechanics (QM) theory are not always supported by experiments. This defines a deep crisis in contemporary physics and, in particular, quantum mechanics. We believe that, in fact, the mathematical apparatus employed within today's physics is a possible reason. In particular, we consider the concept of infinity that exists in today's mathematics as the root cause of this problem. We have created Observer's Mathematics that offers an alternative to contemporary mathematics. This paper is an attempt to relay how Observer's Mathematics may explain some of the contradictions in QM theory results. We consider the Hamiltonian Mechanics, Newton equation, Schrodinger equation, two slit interference, wave-particle duality for single photons, uncertainty principle, Dirac equations for free electron in a setting of arithmetic, algebra, and topology provided by Observer's Mathematics (see www.mathrelativity.com). Certain results and communications pertaining to solution of these problems are provided.
Discrete Mathematical Approaches to Graph-Based Traffic Analysis
Joslyn, Cliff A.; Cowley, Wendy E.; Hogan, Emilie A.; Olsen, Bryan K.
2014-04-01
Modern cyber defense and anlaytics requires general, formal models of cyber systems. Multi-scale network models are prime candidates for such formalisms, using discrete mathematical methods based in hierarchically-structured directed multigraphs which also include rich sets of labels. An exemplar of an application of such an approach is traffic analysis, that is, observing and analyzing connections between clients, servers, hosts, and actors within IP networks, over time, to identify characteristic or suspicious patterns. Towards that end, NetFlow (or more generically, IPFLOW) data are available from routers and servers which summarize coherent groups of IP packets flowing through the network. In this paper, we consider traffic analysis of Netflow using both basic graph statistics and two new mathematical measures involving labeled degree distributions and time interval overlap measures. We do all of this over the VAST test data set of 96M synthetic Netflow graph edges, against which we can identify characteristic patterns of simulated ground-truth network attacks.
SUMO, System performance assessment for a high-level nuclear waste repository: Mathematical models
Eslinger, P.W.; Miley, T.B.; Engel, D.W.; Chamberlain, P.J. II
1992-09-01
Following completion of the preliminary risk assessment of the potential Yucca Mountain Site by Pacific Northwest Laboratory (PNL) in 1988, the Office of Civilian Radioactive Waste Management (OCRWM) of the US Department of Energy (DOE) requested the Performance Assessment Scientific Support (PASS) Program at PNL to develop an integrated system model and computer code that provides performance and risk assessment analysis capabilities for a potential high-level nuclear waste repository. The system model that has been developed addresses the cumulative radionuclide release criteria established by the US Environmental Protection Agency (EPA) and estimates population risks in terms of dose to humans. The system model embodied in the SUMO (System Unsaturated Model) code will also allow benchmarking of other models being developed for the Yucca Mountain Project. The system model has three natural divisions: (1) source term, (2) far-field transport, and (3) dose to humans. This document gives a detailed description of the mathematics of each of these three divisions. Each of the governing equations employed is based on modeling assumptions that are widely accepted within the scientific community.
Apply for a Job | Argonne National Laboratory
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FAQs Answers to frequently asked questions about applying for a job at Argonne A Note About Privacy We do not ask you for personally identifiable information such as birthdate, social security number, or driver's license number. To ensure your privacy, please do not include such information in the documents that you upload to the system A Note About File Size Our application system has a file size limit of 820KB. While this is sufficient for the vast majority of documents, we have found that
Delayed switching applied to memristor neural networks
Wang, Frank Z.; Yang Xiao; Lim Guan; Helian Na; Wu Sining; Guo Yike; Rashid, Md Mamunur
2012-04-01
Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the ''delayed switching effect.'' In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons.
2009 Applied and Environmental Microbiology GRC
Nicole Dubilier
2009-07-12
The topic of the 2009 Gordon Conference on Applied and Environmental Microbiology is: From Single Cells to the Environment. The Conference will present and discuss cutting-edge research on applied and environmental microbiology with a focus on understanding interactions between microorganisms and the environment at levels ranging from single cells to complex communities. The Conference will feature a wide range of topics such as single cell techniques (including genomics, imaging, and NanoSIMS), microbial diversity at scales ranging from clonal to global, environmental 'meta-omics', biodegradation and bioremediation, metal - microbe interactions, animal microbiomes and symbioses. The Conference will bring together investigators who are at the forefront of their field, and will provide opportunities for junior scientists and graduate students to present their work in poster format and exchange ideas with leaders in the field. Some poster presenters will be selected for short talks. The collegial atmosphere of this Conference, with extensive discussion sessions as well as opportunities for informal gatherings in the afternoons and evenings, provides an ideal setting for scientists from different disciplines to exchange ideas, brainstorm and discuss cross-disciplinary collaborations.
Semiconductor Device Analysis on Personal Computers
Energy Science and Technology Software Center (OSTI)
1993-02-08
PC-1D models the internal operation of bipolar semiconductor devices by solving for the concentrations and quasi-one-dimensional flow of electrons and holes resulting from either electrical or optical excitation. PC-1D uses the same detailed physical models incorporated in mainframe computer programs, yet runs efficiently on personal computers. PC-1D was originally developed with DOE funding to analyze solar cells. That continues to be its primary mode of usage, with registered copies in regular use at more thanmore » 100 locations worldwide. The program has been successfully applied to the analysis of silicon, gallium-arsenide, and indium-phosphide solar cells. The program is also suitable for modeling bipolar transistors and diodes, including heterojunction devices. Its easy-to-use graphical interface makes it useful as a teaching tool as well.« less
Hybrid soft computing systems: Industrial and commercial applications
Bonissone, P.P.; Chen, Y.T.; Goebel, K.; Khedkar, P.S.
1999-09-01
Soft computing (SC) is an association of computing methodologies that includes as its principal members fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing. The authors present a collection of methods and tools that can be used to perform diagnostics, estimation, and control. These tools are a great match for real-world applications that are characterized by imprecise, uncertain data and incomplete domain knowledge. The authors outline the advantages of applying SC techniques and in particular the synergy derived from the use of hybrid SC systems. They illustrate some combinations of hybrid SC systems, such as fuzzy logic controllers (FLC's) tuned by neural networks (NN's) and evolutionary computing (EC), NN's tuned by EC or FLC's, and EC controlled by FLC's. The authors discuss three successful real-world examples of SC applications to industrial equipment diagnostics, freight train control, and residential property valuation.
High Performance Computing at the Oak Ridge Leadership Computing Facility
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High Performance Computing at the Oak Ridge Leadership Computing Facility Go to Menu Page 2 Outline * Our Mission * Computer Systems: Present, Past, Future * Challenges Along the Way * Resources for Users Go to Menu Page 3 Our Mission Go to Menu Page 4 * World's most powerful computing facility * Nation's largest concentration of open source materials research * $1.3B budget * 4,250 employees * 3,900 research guests annually * $350 million invested in modernization * Nation's most diverse energy
An exact general remeshing scheme applied to physically conservative voxelization
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Powell, Devon; Abel, Tom
2015-05-21
We present an exact general remeshing scheme to compute analytic integrals of polynomial functions over the intersections between convex polyhedral cells of old and new meshes. In physics applications this allows one to ensure global mass, momentum, and energy conservation while applying higher-order polynomial interpolation. We elaborate on applications of our algorithm arising in the analysis of cosmological N-body data, computer graphics, and continuum mechanics problems. We focus on the particular case of remeshing tetrahedral cells onto a Cartesian grid such that the volume integral of the polynomial density function given on the input mesh is guaranteed to equal themorecorresponding integral over the output mesh. We refer to this as physically conservative voxelization. At the core of our method is an algorithm for intersecting two convex polyhedra by successively clipping one against the faces of the other. This algorithm is an implementation of the ideas presented abstractly by Sugihara [48], who suggests using the planar graph representations of convex polyhedra to ensure topological consistency of the output. This makes our implementation robust to geometric degeneracy in the input. We employ a simplicial decomposition to calculate moment integrals up to quadratic order over the resulting intersection domain. We also address practical issues arising in a software implementation, including numerical stability in geometric calculations, management of cancellation errors, and extension to two dimensions. In a comparison to recent work, we show substantial performance gains. We provide a C implementation intended to be a fast, accurate, and robust tool for geometric calculations on polyhedral mesh elements.less
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J K L M N O P Q R S T U V W X Y Z Ilic, Marija D. (Marija D. Ilic) - Department of Electrical and Computer Engineering, Carnegie Mellon University Go back to Individual Researchers ...
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F G H I J K L M N O P Q R S T U V W X Y Z Elkashlan, Maged (Maged Elkashlan) - School of Electronic Engineering and Computer Science, Queen Mary, University of London Erdogan, ...
System for computer controlled shifting of an automatic transmission
Patil, Prabhakar B.
1989-01-01
In an automotive vehicle having an automatic transmission that driveably connects a power source to the driving wheels, a method to control the application of hydraulic pressure to a clutch, whose engagement produces an upshift and whose disengagement produces a downshift, the speed of the power source, and the output torque of the transmission. The transmission output shaft torque and the power source speed are the controlled variables. The commanded power source torque and commanded hydraulic pressure supplied to the clutch are the control variables. A mathematical model is formulated that describes the kinematics and dynamics of the powertrain before, during and after a gear shift. The model represents the operating characteristics of each component and the structural arrangement of the components within the transmission being controlled. Next, a close loop feedback control is developed to determine the proper control law or compensation strategy to achieve an acceptably smooth gear ratio change, one in which the output torque disturbance is kept to a minimum and the duration of the shift is minimized. Then a computer algorithm simulating the shift dynamics employing the mathematical model is used to study the effects of changes in the values of the parameters established from a closed loop control of the clutch hydraulic and the power source torque on the shift quality. This computer simulation is used also to establish possible shift control strategies. The shift strategies determine from the prior step are reduced to an algorithm executed by a computer to control the operation of the power source and the transmission.
Closed loop computer control for an automatic transmission
Patil, Prabhakar B.
1989-01-01
In an automotive vehicle having an automatic transmission that driveably connects a power source to the driving wheels, a method to control the application of hydraulic pressure to a clutch, whose engagement produces an upshift and whose disengagement produces a downshift, the speed of the power source, and the output torque of the transmission. The transmission output shaft torque and the power source speed are the controlled variables. The commanded power source torque and commanded hydraulic pressure supplied to the clutch are the control variables. A mathematical model is formulated that describes the kinematics and dynamics of the powertrain before, during and after a gear shift. The model represents the operating characteristics of each component and the structural arrangement of the components within the transmission being controlled. Next, a close loop feedback control is developed to determine the proper control law or compensation strategy to achieve an acceptably smooth gear ratio change, one in which the output torque disturbance is kept to a minimum and the duration of the shift is minimized. Then a computer algorithm simulating the shift dynamics employing the mathematical model is used to study the effects of changes in the values of the parameters established from a closed loop control of the clutch hydraulic and the power source torque on the shift quality. This computer simulation is used also to establish possible shift control strategies. The shift strategies determined from the prior step are reduced to an algorithm executed by a computer to control the operation of the power source and the transmission.
Computational Electronics and Electromagnetics
DeFord, J.F.
1993-03-01
The Computational Electronics and Electromagnetics thrust area is a focal point for computer modeling activities in electronics and electromagnetics in the Electronics Engineering Department of Lawrence Livermore National Laboratory (LLNL). Traditionally, they have focused their efforts in technical areas of importance to existing and developing LLNL programs, and this continues to form the basis for much of their research. A relatively new and increasingly important emphasis for the thrust area is the formation of partnerships with industry and the application of their simulation technology and expertise to the solution of problems faced by industry. The activities of the thrust area fall into three broad categories: (1) the development of theoretical and computational models of electronic and electromagnetic phenomena, (2) the development of useful and robust software tools based on these models, and (3) the application of these tools to programmatic and industrial problems. In FY-92, they worked on projects in all of the areas outlined above. The object of their work on numerical electromagnetic algorithms continues to be the improvement of time-domain algorithms for electromagnetic simulation on unstructured conforming grids. The thrust area is also investigating various technologies for conforming-grid mesh generation to simplify the application of their advanced field solvers to design problems involving complicated geometries. They are developing a major code suite based on the three-dimensional (3-D), conforming-grid, time-domain code DSI3D. They continue to maintain and distribute the 3-D, finite-difference time-domain (FDTD) code TSAR, which is installed at several dozen university, government, and industry sites.
[Computer Science and Telecommunications Board activities
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.