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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 Â» 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)Â» High Performance Computing (HPC)Â» Extreme Scale Computing, Co-designÂ» 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 Most Viewed Documents for Mathematics and Computing: December 2014 Process Equipment Cost Estimation, Final Report H.P. Loh; Jennifer Lyons; Charles W. White, III (2002) 322 Levenberg--Marquardt algorithm: implementation and theory More, J.J. (1977) 64 A comparison of risk assessment techniques from qualitative to quantitative Altenbach, T.J. (1995) 51 Lecture notes for introduction to safety and health Biele, F. (1992) 50
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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. ...
NREL: Computational Science Home Page
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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...
Office of Science (SC) Website
Previous Computer Science Award Announcements Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop ...
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 Â» 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 Â»
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 MÃ¼nchen, 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 DOEâ€™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 DOEâ€™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.moreÂ Â» It also allows the user to display results as the optimization proceeds or at a later time.Â«Â 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 â€“ 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
Search for: All records | SciTech Connect
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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 Â» R & D Â» 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 Â» 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.