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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

Advanced Scientific Computing Research Jobs  

Office of Science (SC) Website

about/jobs/ Below is a list of currently about/jobs/ Below is a list of currently open federal employment opportunities in the Office of Science. Prospective applicants should follow the links to the formal position announcements on USAJOBS.gov for more information. en {D1C7BEC4-D6F9-4FB7-A95E-142A6B699F6B}https://www.usajobs.gov/GetJob/ViewDetails/358465200 Computer Scientist Computer Science Research & Partnerships Division Job Title: Computer Scientist Computer Science Research & Partnerships DivisionOffice: Advanced Scientific Computing ResearchURL: USAjobs listingVacancy Number: 14-DE-SC-HQ-005Location:

2

Energy Department Requests Proposals for Advanced Scientific Computing  

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

Requests Proposals for Advanced Scientific Requests Proposals for Advanced Scientific Computing Research Energy Department Requests Proposals for Advanced Scientific Computing Research December 27, 2005 - 4:55pm Addthis WASHINGTON, DC - The Department of Energy's Office of Science and the National Nuclear Security Administration (NNSA) have issued a joint Request for Proposals for advanced scientific computing research. DOE expects to fund $67 million annually for three years to five years under its Scientific Discovery through Advanced Computing (SciDAC) research program. Scientific computing, including modeling and simulation, has become crucial for research problems that are insoluble by traditional theoretical and experimental approaches, hazardous to study in the laboratory, or time-consuming or expensive to solve by traditional means.

3

NERSC Role in Advanced Scientific Computing Research Katherine Yelick  

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

Advanced Advanced Scientific Computing Research Katherine Yelick NERSC Director Requirements Workshop NERSC Mission The mission of the National Energy Research Scientific Computing Center (NERSC) is to accelerate the pace of scientific discovery by providing high performance computing, information, data, and communications services for all DOE Office of Science (SC) research. Sample Scientific Accomplishments at NERSC 3 Award-winning software uses massively-parallel supercomputing to map hydrocarbon reservoirs at unprecedented levels of detail. (Greg Newman, LBNL) . Combustion Adaptive Mesh Refinement allows simulation of a fuel- flexible low-swirl burner that is orders of magnitude larger & more detailed than traditional reacting flow simulations allow.

4

Energy Department Requests Proposals for Advanced Scientific Computing  

Office of Science (SC) Website

Energy Energy Department Requests Proposals for Advanced Scientific Computing Research News Featured Articles Science Headlines 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Presentations & Testimony News Archives Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 12.27.05 Energy Department Requests Proposals for Advanced Scientific Computing Research Print Text Size: A A A Subscribe FeedbackShare Page WASHINGTON, DC - The Department of Energy's Office of Science and the National Nuclear Security Administration (NNSA) have issued a joint Request for Proposals for advanced scientific computing research. DOE expects to fund $67 million annually for three years to five years under its Scientific Discovery through Advanced Computing (SciDAC) research program.'

5

Advanced Scientific Computing Research Network Requirements  

E-Print Network [OSTI]

cover image courtesy of the Argonne Leadership ComputingFacility (ALCF), Argonne National Laboratory. Hopper image12 Argonne Leadership Computing Facility (

Dart, Eli

2014-01-01T23:59:59.000Z

6

Advanced Scientific Computing Advisory Committee (ASCAC) Homepage | U.S.  

Office of Science (SC) Website

ASCAC Home ASCAC Home Advanced Scientific Computing Advisory Committee (ASCAC) ASCAC Home Meetings Members Charges/Reports Charter .pdf file (38KB) ASCR Committees of Visitors ASCR Home Exascale Advisory Committee Report .pdf file (2.1MB) The Opportunities and Challenges of Exascale Computing The Exascale initiative will be significant and transformative for Department of Energy missions. The ASCAC Subcommitte report is available to revew.Read More .pdf file (2.1MB) Exascale picture 1 of 2 Print Text Size: A A A RSS Feeds FeedbackShare Page ADDITIONAL INFORMATION About ASCAC Contact ASCAC Email: ascr@science.doe.gov Phone: 301-903-7486 ASCAC DFO: Mrs. Christine Chalk COMMITTEE MANAGERS: Mrs. Melea Baker Dr. Lucy Nowell COMMITTEE CHAIR Dr. Roscoe C. Giles ASCR AD J. Steve Binkley The Advanced Scientific Computing Advisory Committee (ASCAC), established

7

Computational Biology, Advanced Scientific Computing, and Emerging Computational Architectures  

SciTech Connect (OSTI)

This CRADA was established at the start of FY02 with $200 K from IBM and matching funds from DOE to support post-doctoral fellows in collaborative research between International Business Machines and Oak Ridge National Laboratory to explore effective use of emerging petascale computational architectures for the solution of computational biology problems. 'No cost' extensions of the CRADA were negotiated with IBM for FY03 and FY04.

None

2007-06-27T23:59:59.000Z

8

Scientific Discovery through Advanced Computing (SciDAC) | U.S. DOE Office  

Office of Science (SC) Website

Scientific Scientific Discovery through Advanced Computing (SciDAC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Co-Design SciDAC Institutes Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information » Research Scientific Discovery through Advanced Computing (SciDAC)

9

Advanced Scientific Computing Research (ASCR) Homepage | U.S. DOE Office of  

Office of Science (SC) Website

ASCR Home ASCR Home Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information » ASCR Advisory Committee Exascale Report Synergistic Challenges in Data-Intensive Science and Exascale Computing ASCAC Subcommittee Summary Report. This new report discusses the natural synergies among the challenges facing data-intensive science and exascale computing, including the need for a new scientific workflow.

10

Advanced Scientific Computing Research User Facilities | U.S. DOE Office of  

Office of Science (SC) Website

ASCR User Facilities ASCR User Facilities User Facilities ASCR User Facilities BES User Facilities BER User Facilities FES User Facilities HEP User Facilities NP User Facilities User Facilities Frequently Asked Questions User Facility Science Highlights Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 ASCR User Facilities Print Text Size: A A A RSS Feeds FeedbackShare Page The Advanced Scientific Computing Research program supports the operation of the following national scientific user facilities: Energy Sciences Network (ESnet): External link The Energy Sciences Network, or ESnet External link , is the Department of Energy's high-speed network that provides the high-bandwidth, reliable connections that link scientists at national laboratories, universities and

11

DOE Supercomputing Resources Available for Advancing Scientific  

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

Supercomputing Resources Available for Advancing Scientific Supercomputing Resources Available for Advancing Scientific Breakthroughs DOE Supercomputing Resources Available for Advancing Scientific Breakthroughs April 15, 2009 - 12:00am Addthis Washington, DC - The U.S. Department of Energy (DOE) announced today it is accepting proposals for a program to support high-impact scientific advances through the use of some of the world's most powerful supercomputers located at DOE national laboratories. Approximately 1.3 billion supercomputer processor-hours will be awarded in 2010 through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program for large-scale, computationally intensive projects addressing some of the toughest challenges in science and engineering. Researchers are currently using supercomputing time under this year's

12

National Energy Research Scientific Computing Center  

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

Scientific Computing Center Scientific Computing Center 2004 annual report Cover image: Visualization based on a simulation of the density of a fuel pellet after it is injected into a tokamak fusion reactor. See page 40 for more information. National Energy Research Scientific Computing Center 2004 annual report Ernest Orlando Lawrence Berkeley National Laboratory * University of California * Berkeley, California 94720 This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC 03-76SF00098. LBNL-57369, April 2005 ii iii The Year in Perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Advances in Computational Science . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

13

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

SciTech Connect (OSTI)

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

Saffer, Shelley (Sam) I.

2014-12-01T23:59:59.000Z

14

National Energ y Research Scientific Computing Center  

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

Annual Report Annual Report This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC 03-76SF00098. LBNL-49186, December 2001 National Energ y Research Scientific Computing Center 2001 Annual Report NERSC aspires to be a world leader in accelerating scientific discovery through computation. Our vision is to provide high- performance computing tools to tackle science's biggest and most challenging problems, and to play a major role in advancing large- scale computational science and computing technology. The result will be a rate of scientific progress previously unknown. NERSC's mission is to accelerate the pace of scientific discovery in the Department of Energy Office

15

PIA - Advanced Test Reactor National Scientific User Facility...  

Energy Savers [EERE]

Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor...

16

Scientific Information by Computer  

Science Journals Connector (OSTI)

... systems should be studied in detail2'3. The Office of Scientific and Technical Information (OSTI) is engaged in studies of this kind, monitoring about 200 current-awareness search profiles ...

J. T. LYNCH; G. D. W. SMITH

1971-03-19T23:59:59.000Z

17

E-Print Network 3.0 - analysis scientific computing Sample Search...  

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

of - Energy and Geoscience Institute, Geothermal Research Group Collection: Renewable Energy ; Geosciences 11 Advanced Research in High Performance Scientific Computing...

18

Scientific Grid computing  

Science Journals Connector (OSTI)

...analogy with other utilities in a modern society, such as electricity power Grids. The vision is that of computing power on demand...at a computer (or even a personal digital assistant with wireless Internet access) to view web pages as if they were on their...

2005-01-01T23:59:59.000Z

19

National Energy Research Scientific Computing Center (NERSC) | U.S. DOE  

Office of Science (SC) Website

National National Energy Research Scientific Computing Center (NERSC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301)

20

Energy Department Seeks Proposals to Use Scientific Computing...  

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

DOE's missions," said Secretary Bodman. "This program opens up the world of high-performance computing to a broad array of scientific users. Through the use of these advanced...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

E-Print Network 3.0 - advancing scientific understanding Sample...  

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

understanding Page: << < 1 2 3 4 5 > >> 1 U.S. Department of Energy Scientific Discovery through Advanced Computing SciDAC 2010 Summary: U.S. Department of Energy Scientific...

22

Advanced Simulation and Computing  

National Nuclear Security Administration (NNSA)

NA-ASC-117R-09-Vol.1-Rev.0 NA-ASC-117R-09-Vol.1-Rev.0 Advanced Simulation and Computing PROGRAM PLAN FY09 October 2008 ASC Focal Point Robert Meisner, Director DOE/NNSA NA-121.2 202-586-0908 Program Plan Focal Point for NA-121.2 Njema Frazier DOE/NNSA NA-121.2 202-586-5789 A Publication of the Office of Advanced Simulation & Computing, NNSA Defense Programs i Contents Executive Summary ----------------------------------------------------------------------------------------------- 1 I. Introduction -------------------------------------------------------------------------------------------------------- 2 Realizing the Vision ------------------------------------------------------------------------------------------------- 2 The Future of the Nuclear Weapons Complex ---------------------------------------------------------------- 2

23

RECENT ADVANCES COMPUTATIONAL METHODS  

E-Print Network [OSTI]

RECENT ADVANCES ON COMPUTATIONAL METHODS FOR STRUCTURED INVERSE QUADRATIC EIGENVALUE PROBLEMS by Biswa Nath Datta Department of Mathematical Sciences Northern Illinois University DeKalb, IL 60115 E-Element Model Updating in Aerospace and Au- tomobile Industries. 10 #12;Quadratic Inverse Eigenvalue Problems

Datta, Biswa

24

Advanced Test Reactor National Scientific User Facility  

SciTech Connect (OSTI)

The Advanced Test Reactor (ATR), at the Idaho National Laboratory (INL), is a large test reactor for providing the capability for studying the effects of intense neutron and gamma radiation on reactor materials and fuels. The ATR is a pressurized, light-water, high flux test reactor with a maximum operating power of 250 MWth. The INL also has several hot cells and other laboratories in which irradiated material can be examined to study material irradiation effects. In 2007 the US Department of Energy (DOE) designated the ATR as a National Scientific User Facility (NSUF) to facilitate greater access to the ATR and the associated INL laboratories for material testing research by a broader user community. This paper highlights the ATR NSUF research program and the associated educational initiatives.

Frances M. Marshall; Jeff Benson; Mary Catherine Thelen

2011-08-01T23:59:59.000Z

25

Unique Aspects and Scientific Challenges - Advanced R and D|...  

Office of Science (SC) Website

Advanced R and D Unique Aspects and Scientific Challenges High Energy Physics (HEP) HEP Home About Research Science Drivers of Particle Physics Energy Frontier Intensity Frontier...

26

Computational Discovery of Communicable Scientific Knowledge  

Science Journals Connector (OSTI)

In this paper we distinguish between two computational paradigms for knowledge discovery that share the notion of heuristic search, but differ in the importance they place on using scientific formalisms to sta...

Pat Langley; Jeff Shrager; Kazumi Saito

2002-01-01T23:59:59.000Z

27

Center for Technology for Advanced Scientific Componet Software (TASCS)  

SciTech Connect (OSTI)

Advanced Scientific Computing Research Computer Science FY 2010Report Center for Technology for Advanced Scientific Component Software: Distributed CCA State University of New York, Binghamton, NY, 13902 Summary The overall objective of Binghamton's involvement is to work on enhancements of the CCA environment, motivated by the applications and research initiatives discussed in the proposal. This year we are working on re-focusing our design and development efforts to develop proof-of-concept implementations that have the potential to significantly impact scientific components. We worked on developing parallel implementations for non-hydrostatic code and worked on a model coupling interface for biogeochemical computations coded in MATLAB. We also worked on the design and implementation modules that will be required for the emerging MapReduce model to be effective for scientific applications. Finally, we focused on optimizing the processing of scientific datasets on multi-core processors. Research Details We worked on the following research projects that we are working on applying to CCA-based scientific applications. 1. Non-Hydrostatic Hydrodynamics: Non-static hydrodynamics are significantly more accurate at modeling internal waves that may be important in lake ecosystems. Non-hydrostatic codes, however, are significantly more computationally expensive, often prohibitively so. We have worked with Chin Wu at the University of Wisconsin to parallelize non-hydrostatic code. We have obtained a speed up of about 26 times maximum. Although this is significant progress, we hope to improve the performance further, such that it becomes a practical alternative to hydrostatic codes. 2. Model-coupling for water-based ecosystems: To answer pressing questions about water resources requires that physical models (hydrodynamics) be coupled with biological and chemical models. Most hydrodynamics codes are written in Fortran, however, while most ecologists work in MATLAB. This disconnect creates a great barrier. To address this, we are working on a model coupling interface that will allow biogeochemical computations written in MATLAB to couple with Fortran codes. This will greatly improve the productivity of ecosystem scientists. 2. Low overhead and Elastic MapReduce Implementation Optimized for Memory and CPU-Intensive Applications: Since its inception, MapReduce has frequently been associated with Hadoop and large-scale datasets. Its deployment at Amazon in the cloud, and its applications at Yahoo! for large-scale distributed document indexing and database building, among other tasks, have thrust MapReduce to the forefront of the data processing application domain. The applicability of the paradigm however extends far beyond its use with data intensive applications and diskbased systems, and can also be brought to bear in processing small but CPU intensive distributed applications. MapReduce however carries its own burdens. Through experiments using Hadoop in the context of diverse applications, we uncovered latencies and delay conditions potentially inhibiting the expected performance of a parallel execution in CPU-intensive applications. Furthermore, as it currently stands, MapReduce is favored for data-centric applications, and as such tends to be solely applied to disk-based applications. The paradigm, falls short in bringing its novelty to diskless systems dedicated to in-memory applications, and compute intensive programs processing much smaller data, but requiring intensive computations. In this project, we focused both on the performance of processing large-scale hierarchical data in distributed scientific applications, as well as the processing of smaller but demanding input sizes primarily used in diskless, and memory resident I/O systems. We designed LEMO-MR [1], a Low overhead, elastic, configurable for in- memory applications, and on-demand fault tolerance, an optimized implementation of MapReduce, for both on disk and in memory applications. We conducted experiments to identify not only the necessary components of this mod

Govindaraju, Madhusudhan

2010-10-31T23:59:59.000Z

28

Sandia National Laboratories: Advanced Simulation and Computing  

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

Facebook Facebook Twitter YouTube Flickr RSS Advanced Simulation and Computing Advanced Simulation and Computing Taking on the World's Complex Challenges Advancing Science Frontiers Our research is producing new scientific insights about the world in which we live and assists in certifying the safety and reliability of the nation's nuclear weapons stockpile. Technology Provides the Tools Growth in data and the software and hardware demands needed for physics-based answers and predictive capabilities are driving technology improvements. We could not achieve the breakthroughs we're making without these important tools. Partnerships Accelerate Innovation Partnerships leverage talent and multiply the effectiveness of our research efforts. Impacting Global Issues ASC software and hardware tools solve global issues ranging from nuclear

29

Computational photography: advanced topics  

Science Journals Connector (OSTI)

Computational photography combines plentiful computing, digital sensors, modern optics, many varieties of actuators, probes and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. Unbounded dynamic ...

Paul Debevec; Ramesh Raskar; Jack Tumblin

2008-08-01T23:59:59.000Z

30

Career advancement and scientific performance in universities  

Science Journals Connector (OSTI)

Many governments have placed priority on excellence in higher education as part of their policy agendas. Processes for recruitment and career advancement in universities thus have a critical role. The efficiency of faculty selection processes can be ... Keywords: Bibliometrics, Career advancement, Italy, Recruitment, Research evaluation, Universities

Giovanni Abramo; Ciriaco Andrea D'angelo; Francesco Rosati

2014-02-01T23:59:59.000Z

31

NERSC: National Energy Research Scientific Computing Center  

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

NERSC Powering Scientific Discovery Since 1974 NERSC Powering Scientific Discovery Since 1974 Login Site Map | My NERSC search... Go Home About Overview NERSC Mission Contact us Staff Org Chart NERSC History NERSC Stakeholders NERSC Usage Demographics Careers Visitor Info Web Policies Science at NERSC NERSC HPC Achievement Awards Accelerator Science Astrophysics Biological Sciences Chemistry & Materials Science Climate & Earth Science Energy Science Engineering Science Environmental Science Fusion Science Math & Computer Science Nuclear Science Science Highlights NERSC Citations HPC Requirements Reviews Systems Computational Systems Table Data Systems Table Edison Cray XC30 Hopper Cray XE6 Carver IBM iDataPlex PDSF Genepool NERSC Global Filesystem HPSS data archive Data Transfer Nodes History of Systems NERSC-8 Procurement

32

Computer network access to scientific information systems for minority universities  

Science Journals Connector (OSTI)

The evolution of computer networking technology has lead to the establishment of a massive networking infrastructure which interconnects various types of computing resources at many government academic and corporate institutions. A large segment of this infrastructure has been developed to facilitate information exchange and resource sharing within the scientific community. The National Aeronautics and Space Administration (NASA) supports both the development and the application of computer networks which provide its community with access to many valuable multi?disciplinary scientific information systems and on?line databases. Recognizing the need to extend the benefits of this advanced networking technology to the under?represented community the National Space Science Data Center (NSSDC) in the Space Data and Computing Division at the Goddard Space Flight Center has developed the Minority University?Space Interdisciplinary Network (MU?SPIN) Program: a major networking and education initiative for Historically Black Colleges and Universities (HBCUs) and Minority Universities (MUs). In this paper we will briefly explain the various components of the MU?SPIN Program while highlighting how by providing access to scientific information systems and on?line data it promotes a higher level of collaboration among faculty and students and NASA scientists.

Valerie L. Thomas; Nagi T. Wakim

1993-01-01T23:59:59.000Z

33

Scientific Methods in Computer Science Gordana Dodig-Crnkovic  

E-Print Network [OSTI]

Scientific Methods in Computer Science Gordana Dodig-Crnkovic Department of Computer Science M scientific aspects of Computer Science. First it defines science and scientific method in general. It gives a dis- cussion of relations between science, research, development and technology. The existing theory

Cunningham, Conrad

34

DOE Issues Funding Opportunity for Advanced Computational and Modeling  

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

Funding Opportunity for Advanced Computational and Funding Opportunity for Advanced Computational and Modeling Research for the Electric Power System DOE Issues Funding Opportunity for Advanced Computational and Modeling Research for the Electric Power System May 23, 2012 - 8:36am Addthis The objective of this Funding Opportunity Announcement (FOA) is to leverage scientific advancements in mathematics and computation for application to power system models and software tools, with the long-term goal of enabling real-time protection and control based on wide-area sensor measurements. Specifically, this FOA focuses on two foundational research challenges: 1) handling of large data sets to improve suitability for operational (and/or planning) models and analysis; and 2) "faster than real-time" simulations that improve understanding of

35

Advanced Scientific Computing Research Network Requirements  

E-Print Network [OSTI]

Plasma Physics Laboratory (PPPL). ESnet and ORNL willOSF PB/sec Pbps perfSONAR PF PPPL PTF PVFS QDR RDMA REST RPI

Dart, Eli

2014-01-01T23:59:59.000Z

36

Supporting Advanced Scientific Computing Research * Basic Energy...  

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

Link IP router DOE Lab Optical node SDN router LLNL LANL GA Yucca Bechtel-NV IARC INL NSTec Pantex SNLA DOE-ALB Allied Signal KCP SRS NREL DOE NETL NNSA ARM ORAU OSTI NOAA SINet...

37

Advanced Scientific Computing Research Network Requirements  

E-Print Network [OSTI]

partners at LBNL and Princeton Plasma Physics Laboratory (Architecture petaflop Princeton Plasma Physics Laboratory

Dart, Eli

2014-01-01T23:59:59.000Z

38

Scientific and Computational Challenges of the Fusion Simulation Program (FSP)  

SciTech Connect (OSTI)

This paper highlights the scientific and computational challenges facing the Fusion Simulation Program (FSP) a major national initiative in the United States with the primary objective being to enable scientific discovery of important new plasma phenomena with associated understanding that emerges only upon integration. This requires developing a predictive integrated simulation capability for magnetically-confined fusion plasmas that are properly validated against experiments in regimes relevant for producing practical fusion energy. It is expected to provide a suite of advanced modeling tools for reliably predicting fusion device behavior with comprehensive and targeted science-based simulations of nonlinearly-coupled phenomena in the core plasma, edge plasma, and wall region on time and space scales required for fusion energy production. As such, it will strive to embody the most current theoretical and experimental understanding of magnetic fusion plasmas and to provide a living framework for the simulation of such plasmas as the associated physics understanding continues to advance over the next several decades. Substantive progress on answering the outstanding scientific questions in the field will drive the FSP toward its ultimate goal of developing the ability to predict the behavior of plasma discharges in toroidal magnetic fusion devices with high physics fidelity on all relevant time and space scales. From a computational perspective, this will demand computing resources in the petascale range and beyond together with the associated multi-core algorithmic formulation needed to address burning plasma issues relevant to ITER - a multibillion dollar collaborative experiment involving seven international partners representing over half the world's population. Even more powerful exascale platforms will be needed to meet the future challenges of designing a demonstration fusion reactor (DEMO). Analogous to other major applied physics modeling projects (e.g., Climate Modeling), the FSP will need to develop software in close collaboration with computers scientists and applied mathematicians and validated against experimental data from tokamaks around the world. Specific examples of expected advances needed to enable such a comprehensive integrated modeling capability and possible "co-design" approaches will be discussed. __________________________________________________

William M. Tang

2011-02-09T23:59:59.000Z

39

Final Technical Report - Center for Technology for Advanced Scientific Component Software (TASCS)  

SciTech Connect (OSTI)

This is a final technical report for the University of Maryland work in the SciDAC Center for Technology for Advanced Scientific Component Software (TASCS). The Maryland work focused on software tools for coupling parallel software components built using the Common Component Architecture (CCA) APIs. Those tools are based on the Maryland InterComm software framework that has been used in multiple computational science applications to build large-scale simulations of complex physical systems that employ multiple separately developed codes.

Sussman, Alan [University of Maryland

2014-10-21T23:59:59.000Z

40

National Energy Research Scientific Computing Center NERSC Exceeds Reliability  

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

Scientific Scientific Computing Center NERSC Exceeds Reliability Standards With Tape-Based Active Archive Research Facility Accelerates Access to Data while Supporting Exponential Growth Founded in 1974, the National Energy Research Scientific Computing Center (NERSC) is the primary scientific com- puting facility for the Office of Science in the U.S. Department of Energy. NERSC is located at Lawrence Berkeley National Laboratory's Oakland Scientific Facility in Oakland, California and is mandated with providing computational resources and expertise for scientific research to about 5,000 scientists at national labora- tories and universities across the United States, as well as their international col- laborators. A division of Lawrence Berke- ley National Laboratory, NERSC supports

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

National Energy Research Scientific Computing Center (NERSC) Awards  

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

National Energy National Energy Research Scientific Computing Center (NERSC) Awards Supercomputer Contract to Cray National Energy Research Scientific Computing Center (NERSC) Awards Supercomputer Contract to Cray August 5, 2009 BERKELEY, CA - The Department of Energy's (DOE) National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory announced today that a contract for its next generation supercomputing system will be awarded to Cray Inc. The multi-year supercomputing contract includes delivery of a Cray XT5(tm) massively parallel processor supercomputer, which will be upgraded to a future-generation Cray supercomputer. When completed, the new system will deliver a peak performance of more than one petaflops, equivalent to more

42

National Energy Research Scientific Computing Center 2007 Annual Report  

SciTech Connect (OSTI)

This report presents highlights of the research conducted on NERSC computers in a variety of scientific disciplines during the year 2007. It also reports on changes and upgrades to NERSC's systems and services aswell as activities of NERSC staff.

Hules, John A.; Bashor, Jon; Wang, Ucilia; Yarris, Lynn; Preuss, Paul

2008-10-23T23:59:59.000Z

43

Some applications of pipelining techniques in parallel scientific computing  

E-Print Network [OSTI]

In this thesis, we study the applicability of pipelining techniques to the development of parallel algorithms for scientific computation. General principles for pipelining techniques are discussed and two applications, Gram-Schmidt orthogonalization...

Deng, Yuanhua

2012-06-07T23:59:59.000Z

44

Scientific Computations on Modern Parallel Vector Systems  

Science Journals Connector (OSTI)

Computational scientists have seen a frustrating trend of stagnating application performance despite dramatic increases in the claimed peak capability of high performance computing systems. This trend has been widely attributed to the use of superscalar-based ...

Leonid Oliker; Andrew Canning; Jonathan Carter; John Shalf; Stephane Ethier

2004-11-01T23:59:59.000Z

45

Scientific opportunities with advanced facilities for neutron scattering  

SciTech Connect (OSTI)

The present report documents deliberations of a large group of experts in neutron scattering and fundamental physics on the need for new neutron sources of greater intensity and more sophisticated instrumentation than those currently available. An additional aspect of the Workshop was a comparison between steady-state (reactor) and pulsed (spallation) sources. The main conclusions were: (1) the case for a new higher flux neutron source is extremely strong and such a facility will lead to qualitatively new advances in condensed matter science and fundamental physics; (2) to a large extent the future needs of the scientific community could be met with either a 5 x 10/sup 15/ n cm/sup -2/s/sup -1/ steady state source or a 10/sup 17/ n cm/sup -2/s/sup -1/ peak flux spallation source; and (3) the findings of this Workshop are consistent with the recommendations of the Major Materials Facilities Committee.

Lander, G.H.; Emery, V.J. (eds.)

1984-01-01T23:59:59.000Z

46

NETL: Advanced Research - Computation Energy Sciences  

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

Computational Energy Sciences > APECS Computational Energy Sciences > APECS Advanced Research Computational Energy Sciences APECS APECS Virtual Plant APECS (Advanced Process Engineering Co-Simulator) is the first simulation software to combine the disciplines of process simulation and computational fluid dynamics (CFD). This unique combination makes it possible for engineers to create "virtual plants" and to follow complex thermal and fluid flow phenomena from unit to unit across the plant. Advanced visualization software tools aid in analysis and optimization of the entire plant's performance. This tool can significantly reduce the cost of power plant design and optimization with an emphasis on multiphase flows critical to advanced power cycles. A government-industry-university collaboration (including DOE, NETL, Ansys/

47

Math 330 -Introduction to Scientific Computing -Fall 2011  

E-Print Network [OSTI]

of theoretical problems as well as computational projects. We will use MATLAB in throughout the course. I, by Burden, R. L., and Faires, J. D. · Course Overview: 1. Introduction to Scientific Computing and MATLAB 2 will provide a MATLAB tutorial. Solutions to the homework problems will be posted. Each homework paper

Turc, Catalin

48

Scientific Computation Survey of Research Interests  

E-Print Network [OSTI]

and Agricultural Engineering Astronomy Biochemistry Chemical Engineering Chemical Physics Chemistry Civil _________________________________________________________________________ Date _____________________ Areas of Research Aerospace Engineering Biomedical Engineering Biosystems Engineering Computer Science Electrical Engineering Geology Geophysics Mathematics Mechanical Engineering

Thomas, David D.

49

RAPPORT: running scientific high-performance computing applications on the cloud  

Science Journals Connector (OSTI)

...RAPPORT: running scientific high-performance computing applications on the cloud...for running scientific high-performance computing (HPC) software. The...platforms. cloud computing|high-performance computing|data-intensive research...

2013-01-01T23:59:59.000Z

50

Advanced Test Reactor National Scientific User Facility Partnerships  

SciTech Connect (OSTI)

In 2007, the United States Department of Energy designated the Advanced Test Reactor (ATR), located at Idaho National Laboratory, as a National Scientific User Facility (NSUF). This designation made test space within the ATR and post-irradiation examination (PIE) equipment at INL available for use by researchers via a proposal and peer review process. The goal of the ATR NSUF is to provide researchers with the best ideas access to the most advanced test capability, regardless of the proposer's physical location. Since 2007, the ATR NSUF has expanded its available reactor test space, and obtained access to additional PIE equipment. Recognizing that INL may not have all the desired PIE equipment, or that some equipment may become oversubscribed, the ATR NSUF established a Partnership Program. This program enables and facilitates user access to several university and national laboratories. So far, seven universities and one national laboratory have been added to the ATR NSUF with capability that includes reactor-testing space, PIE equipment, and ion beam irradiation facilities. With the addition of these universities, irradiation can occur in multiple reactors and post-irradiation exams can be performed at multiple universities. In each case, the choice of facilities is based on the user's technical needs. Universities and laboratories included in the ATR NSUF partnership program are as follows: (1) Nuclear Services Laboratories at North Carolina State University; (2) PULSTAR Reactor Facility at North Carolina State University; (3) Michigan Ion Beam Laboratory (1.7 MV Tandetron accelerator) at the University of Michigan; (4) Irradiated Materials at the University of Michigan; (5) Harry Reid Center Radiochemistry Laboratories at University of Nevada, Las Vegas; (6) Characterization Laboratory for Irradiated Materials at the University of Wisconsin-Madison; (7) Tandem Accelerator Ion Beam. (1.7 MV terminal voltage tandem ion accelerator) at the University of Wisconsin-Madison; (8) Illinois Institute of Technology (IIT) Materials Research Collaborative Access Team (MRCAT) beamline at Argonne National Laboratory's Advanced Photon Source; and (9) Nanoindenter in the University of California at Berkeley (UCB) Nuclear Engineering laboratory Materials have been analyzed for ATR NSUF users at the Advanced Photon Source at the MRCAT beam, the NIST Center for Neutron Research in Gaithersburg, MD, the Los Alamos Neutron Science Center, and the SHaRE user facility at Oak Ridge National Laboratory (ORNL). Additionally, ORNL has been accepted as a partner facility to enable ATR NSUF users to access the facilities at the High Flux Isotope Reactor and related facilities.

Frances M. Marshall; Todd R. Allen; Jeff B. Benson; James I. Cole; Mary Catherine Thelen

2012-03-01T23:59:59.000Z

51

Concepts for High Availability in Scientific High-End Computing C. Engelmann1,2 and S. L. Scott1  

E-Print Network [OSTI]

exceptions, the over- all availability of recently installed systems has been lower in comparison to the same of Oak Ridge National Laboratory, man- aged by UT-Battelle, LLC for the U. S. Department of Energy under, and Computational Sciences Division; Office of Advanced Scientific Computing Research; U.S. Department of Energy

Engelmann, Christian

52

Preparing scientific application software for exascale computing  

Science Journals Connector (OSTI)

Many of the most widely used scientifc application software of today were developed largely during a time when the typical amount of compute cores was calculated in tens or hundreds. Within a not too distant future the number of cores will be calculated ... Keywords: HemeLB, IFS, NEK5000, elmfire, exascale, gromacs, openFOAM, optimization, science application software

J. A. strm; A. Carter; J. Hetherington; K. Ioakimidis; E. Lindahl; G. Mozdzynski; R. W. Nash; P. Schlatter; A. Signell; J. Westerholm

2012-06-01T23:59:59.000Z

53

The Advanced Test Reactor National Scientific User Facility  

SciTech Connect (OSTI)

In 2007, the Advanced Test Reactor (ATR), located at Idaho National Laboratory (INL), was designated by the Department of Energy (DOE) as a National Scientific User Facility (NSUF). This designation made test space within the ATR and post-irradiation examination (PIE) equipment at INL available for use by approved researchers via a proposal and peer review process. The goal of the ATR NSUF is to provide those researchers with the best ideas access to the most advanced test capability, regardless of the proposers physical location. Since 2007, the ATR NSUF has expanded its available reactor test space, obtained access to additional PIE equipment, taken steps to enable the most advanced post-irradiation analysis possible, and initiated an educational program and digital learning library to help potential users better understand the critical issues in reactor technology and how a test reactor facility could be used to address this critical research. Recognizing that INL may not have all the desired PIE equipment, or that some equipment may become oversubscribed, the ATR NSUF established a Partnership Program. This program invited universities to nominate their capability to become part of a broader user facility. Any university is eligible to self-nominate. Any nomination is then peer reviewed to ensure that the addition of the university facilities adds useful capability to the NSUF. Once added to the NSUF team, the university capability is then integral to the NSUF operations and is available to all users via the proposal process. So far, six universities have been added to the ATR NSUF with capability that includes reactor-testing space, PIE equipment, and ion beam irradiation facilities. With the addition of these university capabilities, irradiation can occur in multiple reactors and post-irradiation exams can be performed at multiple universities. In each case, the choice of facilities is based on the users technical needs. The current NSUF partners are shown in Figure 1. This article describes the ATR as well as the expanded capabilities, partnerships, and services that allow researchers to take full advantage of this national resource.

Todd R. Allen; Collin J. Knight; Jeff B. Benson; Frances M. Marshall; Mitchell K. Meyer; Mary Catherine Thelen

2011-08-01T23:59:59.000Z

54

1/12/11 1:51 PMComputer-Aided Brains: Scientific American Page 1 of 3http://www.scientificamerican.com/article.cfm?id=computer-aided-brains  

E-Print Network [OSTI]

Scientific American Mind � October 2005 Head Lines | Mind & Brain Computer-Aided Brains By Brad Stenger1/12/11 1:51 PMComputer-Aided Brains: Scientific American Page 1 of 3http://www.scientificamerican.com/article.cfm?id=computer-aided-brains Image: For years, innovators have tried to devise computerized gadgetry to aid the brain. Advances have

Salvucci, Dario D.

55

NETL: Advanced Research - Computation Energy Sciences  

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

Computational Energy Sciences Computational Energy Sciences Advanced Research Computational Energy Sciences Virtual Plant Simulating the complex processes occurring inside a coal gasifier, or across an entire chemical or power plant, is an incredible tool made possible by today's supercomputers and advanced simulation software. The Computational Energy Sciences (CES) Focus Area provides such tools to the Fossil Energy program at NETL. The goal is to help scientists and engineers to better understand the fundamental steps in a complex process so they can optimize the design of the equipment needed to run it. Not only is this less costly than performing a long series of experiments under varying conditions to try to isolate important variables, but it also provides more information than such experiments can provide. Of course, the data is

56

New DOE-Sponsored Study Helps Advance Scientific Understanding of Potential  

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

New DOE-Sponsored Study Helps Advance Scientific Understanding of New DOE-Sponsored Study Helps Advance Scientific Understanding of Potential CO2 Storage Impacts New DOE-Sponsored Study Helps Advance Scientific Understanding of Potential CO2 Storage Impacts November 30, 2010 - 12:00pm Addthis Washington, DC - In another step forward toward improved scientific understanding of potential geologic carbon dioxide (CO2) storage impacts, a new U.S. Department of Energy (DOE)-sponsored study has confirmed earlier research showing that proper site selection and monitoring is essential for helping anticipate and mitigate possible risks. The Duke University study, published in the October 26, 2010 edition of Environmental Science & Technology, also provided information that can be used for advanced detection of CO2 in the unlikely event of a leak.

57

Unique Aspects and Scientific Challenges - Advanced R and D| U.S. DOE  

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

Advanced R and D Unique Aspects and Scientific Challenges Advanced R and D Unique Aspects and Scientific Challenges High Energy Physics (HEP) HEP Home About Research Snowmass / P5 Planning Process Intensity Frontier Cosmic Frontier Theoretical Physics Advanced Technology R&D Unique Aspects and Scientific Challenges Accelerator R&D Stewardship Research Highlights .pdf file (13.1MB) Questions for the Universe Accomplishments Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees News & Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F: (301) 903-2597 E: sc.hep@science.doe.gov More Information » Advanced Technology R&D Unique Aspects and Scientific Challenges Print

58

New DOE-Sponsored Study Helps Advance Scientific Understanding of Potential  

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

DOE-Sponsored Study Helps Advance Scientific Understanding of DOE-Sponsored Study Helps Advance Scientific Understanding of Potential CO2 Storage Impacts New DOE-Sponsored Study Helps Advance Scientific Understanding of Potential CO2 Storage Impacts November 30, 2010 - 12:00pm Addthis Washington, DC - In another step forward toward improved scientific understanding of potential geologic carbon dioxide (CO2) storage impacts, a new U.S. Department of Energy (DOE)-sponsored study has confirmed earlier research showing that proper site selection and monitoring is essential for helping anticipate and mitigate possible risks. The Duke University study, published in the October 26, 2010 edition of Environmental Science & Technology, also provided information that can be used for advanced detection of CO2 in the unlikely event of a leak.

59

Advancements in scientific data searching, sharing and retrieval Ranjeet Devarakonda1  

E-Print Network [OSTI]

Advancements in scientific data searching, sharing and retrieval Ranjeet Devarakonda1 , Giri including metadata management,indexing, searching, data sharing, and alsosoftware reusability. Mercurysystem are indexed against Solr iii search API consistently, so thatit can rendervarious search capabilities

60

Power-aware applications for scientific cluster and distributed computing  

E-Print Network [OSTI]

The aggregate power use of computing hardware is an important cost factor in scientific cluster and distributed computing systems. The Worldwide LHC Computing Grid (WLCG) is a major example of such a distributed computing system, used primarily for high throughput computing (HTC) applications. It has a computing capacity and power consumption rivaling that of the largest supercomputers. The computing capacity required from this system is also expected to grow over the next decade. Optimizing the power utilization and cost of such systems is thus of great interest. A number of trends currently underway will provide new opportunities for power-aware optimizations. We discuss how power-aware software applications and scheduling might be used to reduce power consumption, both as autonomous entities and as part of a (globally) distributed system. As concrete examples of computing centers we provide information on the large HEP-focused Tier-1 at FNAL, and the Tigress High Performance Computing Center at Princeton University, which provides HPC resources in a university context.

David Abdurachmanov; Peter Elmer; Giulio Eulisse; Paola Grosso; Curtis Hillegas; Burt Holzman; Ruben L. Janssen; Sander Klous; Robert Knight; Shahzad Muzaffar

2014-10-22T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Acts -- A collection of high performing software tools for scientific computing  

SciTech Connect (OSTI)

During the past decades there has been a continuous growth in the number of physical and societal problems that have been successfully studied and solved by means of computational modeling and simulation. Further, many new discoveries depend on high performance computer simulations to satisfy their demands for large computational resources and short response time. The Advanced CompuTational Software (ACTS) Collection brings together a number of general-purpose computational tool development projects funded and supported by the U.S. Department of Energy (DOE). These tools make it easier for scientific code developers to write high performance applications for parallel computers. They tackle a number of computational issues that are common to a large number of scientific applications, mainly implementation of numerical algorithms, and support for code development, execution and optimization. The ACTS collection promotes code portability, reusability, reduction of duplicate efforts, and tool maturity. This paper presents a brief introduction to the functionality available in ACTS. It also highlight the tools that are in demand by Climate and Weather modelers.

Drummond, L.A.; Marques, O.A.

2002-11-01T23:59:59.000Z

62

PNNL pushing scientific discovery through data intensive computing breakthroughs  

ScienceCinema (OSTI)

The Pacific Northwest National Laboratorys approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architectures, software architectures, and analytic algorithms. Advancements in these areas will help to address, and solve, DIC issues associated with capturing, managing, analyzing and understanding, in near real time, data at volumes and rates that push the frontiers of current technologies.

Deborah Gracio; David Koppenaal; Ruby Leung

2012-12-31T23:59:59.000Z

63

Los Alamos National Laboratory Advancing National Security Through Scientific  

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

Scientific Scientific Inquiry LANL is a key player in energy security | pg. 14 In this Issue Take a look at LANL's visualization environment | pg. 20 October 2010 LANL is operated by Los Alamos National Security, LLC for the U.S. Department of Energy's National Nuclear Security Administration Editors: Barbara Mack and Jeff Berger Art Direction: Cisneros Design Produced by the Communications Office of Los Alamos National Laboratory E-mail: why@lanl.gov Printed on recycled paper LALP-10-054 About this magazine Why magazine is a new publication primarily for employees and retirees of Los Alamos National Laboratory. The Lab will publish Why four times a year and develop for it an online presence. This periodical is named for the crucial nature of scientific inquiry at Los Alamos

64

Recent Advances in Computational Materials Science and Multiscale Materials Modeling  

E-Print Network [OSTI]

Recent Advances in Computational Materials Science and Multiscale Materials Modeling Guest Editors Advances in Computational Materials Science and Multiscale Materials Modeling. These symposia provide. Professor Karel Matous Aerospace and Mechanical Engineering Department University of Notre Dame Email

Matous, Karel

65

Departments of Computer Science, Mathematics, and Statistics SCIENTIFIC AND STATISTICAL COMPUTING SEMINAR  

E-Print Network [OSTI]

Departments of Computer Science, Mathematics, and Statistics SCIENTIFIC AND STATISTICAL COMPUTING research institution, founded in 2009 by King Abdullah of Saudi Arabia, with research thrusts in energy Hikmah that gave the world some of its modern mathematics, physics, chemistry, and medicine, KAUST has

Stephens, Matthew

66

Advanced Test Reactor National Scientific User Facility: Addressing advanced nuclear materials research  

SciTech Connect (OSTI)

The Advanced Test Reactor National Scientific User Facility (ATR NSUF), based at the Idaho National Laboratory in the United States, is supporting Department of Energy and industry research efforts to ensure the properties of materials in light water reactors are well understood. The ATR NSUF is providing this support through three main efforts: establishing unique infrastructure necessary to conduct research on highly radioactive materials, conducting research in conjunction with industry partners on life extension relevant topics, and providing training courses to encourage more U.S. researchers to understand and address LWR materials issues. In 2010 and 2011, several advanced instruments with capability focused on resolving nuclear material performance issues through analysis on the micro (10-6 m) to atomic (10-10 m) scales were installed primarily at the Center for Advanced Energy Studies (CAES) in Idaho Falls, Idaho. These instruments included a local electrode atom probe (LEAP), a field-emission gun scanning transmission electron microscope (FEG-STEM), a focused ion beam (FIB) system, a Raman spectrometer, and an nanoindentor/atomic force microscope. Ongoing capability enhancements intended to support industry efforts include completion of two shielded, irradiation assisted stress corrosion cracking (IASCC) test loops, the first of which will come online in early calendar year 2013, a pressurized and controlled chemistry water loop for the ATR center flux trap, and a dedicated facility intended to house post irradiation examination equipment. In addition to capability enhancements at the main site in Idaho, the ATR NSUF also welcomed two new partner facilities in 2011 and two new partner facilities in 2012; the Oak Ridge National Laboratory, High Flux Isotope Reactor (HFIR) and associated hot cells and the University California Berkeley capabilities in irradiated materials analysis were added in 2011. In 2012, Purdue Universitys Interaction of Materials with Particles and Components Testing (IMPACT) facility and the Pacific Northwest Nuclear Laboratory (PNNL) Radiochemistry Processing Laboratory (RPL) and PIE facilities were added. The ATR NSUF annually hosts a weeklong event called Users Week in which students and faculty from universities as well as other interested parties from regulatory agencies or industry convene in Idaho Falls, Idaho to see presentations from ATR NSUF staff as well as select researchers from the materials research field. Users week provides an overview of current materials research topics of interest and an opportunity for young researchers to understand the process of performing work through ATR NSUF. Additionally, to increase the number of researchers engaged in LWR materials issues, a series of workshops are in progress to introduce research staff to stress corrosion cracking, zirconium alloy degradation, and uranium dioxide degradation during in-reactor use.

John Jackson; Todd Allen; Frances Marshall; Jim Cole

2013-03-01T23:59:59.000Z

67

ORISE: Coordinating Scientific Peer Reviews to Advance Energy Efficiency  

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

Energy Efficiency Energy Efficiency ORISE Reviews and Evaluates Technologies that Advance Energy Efficiency ORISE Reviews and Evaluates Technologies that Advance Energy Efficiency In addition to renewable energy and changes in individual behavior, energy efficiency is generally achieved through the development of more efficient technologies. Buildings are being constructed with more energy efficient systems, fluorescent light bulbs are replacing incandescent lights, and new vehicle technologies are enabling America to use less petroleum. The Oak Ridge Institute for Science Education (ORISE) realizes that energy efficiency encompasses a wide spectrum of industries and supports the U.S. Department of Energy (DOE) in its mission to reduce America's dependence on foreign oil.

68

ATCA for Machines-- Advanced Telecommunications Computing Architecture  

SciTech Connect (OSTI)

The Advanced Telecommunications Computing Architecture is a new industry open standard for electronics instrument modules and shelves being evaluated for the International Linear Collider (ILC). It is the first industrial standard designed for High Availability (HA). ILC availability simulations have shown clearly that the capabilities of ATCA are needed in order to achieve acceptable integrated luminosity. The ATCA architecture looks attractive for beam instruments and detector applications as well. This paper provides an overview of ongoing R&D including application of HA principles to power electronics systems.

Larsen, R.S.; /SLAC

2008-04-22T23:59:59.000Z

69

Computational Design of Advanced Nuclear Fuels  

SciTech Connect (OSTI)

The objective of the project was to develop a method for theoretical understanding of nuclear fuel materials whose physical and thermophysical properties can be predicted from first principles using a novel dynamical mean field method for electronic structure calculations. We concentrated our study on uranium, plutonium, their oxides, nitrides, carbides, as well as some rare earth materials whose 4f eletrons provide a simplified framework for understanding complex behavior of the f electrons. We addressed the issues connected to the electronic structure, lattice instabilities, phonon and magnon dynamics as well as thermal conductivity. This allowed us to evaluate characteristics of advanced nuclear fuel systems using computer based simulations and avoid costly experiments.

Savrasov, Sergey; Kotliar, Gabriel; Haule, Kristjan

2014-06-03T23:59:59.000Z

70

Recap: Advancing Scientific Innovation at the National Labs ...  

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

Lab Fri, Mar 07 2014 18:19:31 OLCF Industry User Named Person to Watch in High-Performance Computing for 2014 http:t.copXTjgsn0XJ Titan Industry @ORNL @GEResearch - OLCF ...

71

NETL: Advanced Research - Computation Energy Sciences  

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

MFIX MFIX Advanced Research Computational Energy Sciences MFIX MFIX (Multiphase Flow with Interphase eXchanges) is a general-purpose computer code developed at the National Energy Technology Laboratory (NETL) for describing the hydrodynamics, heat transfer and chemical reactions in fluid-solids systems. It has been used for describing bubbling and circulating fluidized beds and spouted beds. MFIX calculations give transient data on the three-dimensional distribution of pressure, velocity, temperature, and species mass fractions. MFIX code is based on a generally accepted set of multiphase flow equations. The code is used as a "test-stand" for testing and developing multiphase flow constitutive equations. MFIX Virtual Plant Consider a fluidized bed coal gasification reactor, in which pulverized

72

Module name: Advanced topic: Visual Computing Abbreviation: SVC  

E-Print Network [OSTI]

visualization (registration and segmentation of computer tomography measurement data), digital image generationModule name: Advanced topic: Visual Computing Abbreviation: SVC Study semester: 3rd semester (WS Recommended prerequisites: Geometric Modeling, Interactive Computer Graphics Learning goals: Technological

Ahlers, Volker - Fakultät IV

73

STATEMENT OF CONSIDERATIONS REQUEST BY ROCKWELL SCIENTIFIC COMPANY, FOR AN ADVANCE WAIVER OF  

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

SCIENTIFIC COMPANY, FOR AN ADVANCE WAIVER OF SCIENTIFIC COMPANY, FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN INVENTION RIGHTS UNDER DOE COOPERATIVE AGREEMENT NO. DE-FC26-03NT41951; W(A)-04-009, CH-1180 The Petitioner, Rockwell Scientific Company (Rockwell), was awarded this cooperative agreement for the performance of work entitled, "Efficient Adjustable Reflectivity Smart Window ." The purpose of the cooperative agreement is to develop and demonstrate an efficient reversible electrochemical mirror (REM) smart window that can be manufactured at low cost so as to render large-area REM smart window devices commercially viable. The project addresses three key requirements for commercialization: uniform switching over large areas; an effective seal for preventing intrusion of oxygen and water; and a suitable counter electrode that can be

74

Ames Lab 101: Improving Materials with Advanced Computing  

ScienceCinema (OSTI)

Ames Laboratory's Chief Research Officer Duane Johnson talks about using advanced computing to develop new materials and predict what types of properties those materials will have.

Johnson, Duane

2014-06-04T23:59:59.000Z

75

'Slow light' advance could speed optical computing, telecommunications  

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

"Slow light" and specialized metamaterials 'Slow light' advance could speed optical computing, telecommunications Researchers have made the first demonstration of rapidly switching...

76

Scientific Application Requirements for Leadership Computing at the Exascale  

SciTech Connect (OSTI)

The Department of Energy s Leadership Computing Facility, located at Oak Ridge National Laboratory s National Center for Computational Sciences, recently polled scientific teams that had large allocations at the center in 2007, asking them to identify computational science requirements for future exascale systems (capable of an exaflop, or 1018 floating point operations per second). These requirements are necessarily speculative, since an exascale system will not be realized until the 2015 2020 timeframe, and are expressed where possible relative to a recent petascale requirements analysis of similar science applications [1]. Our initial findings, which beg further data collection, validation, and analysis, did in fact align with many of our expectations and existing petascale requirements, yet they also contained some surprises, complete with new challenges and opportunities. First and foremost, the breadth and depth of science prospects and benefits on an exascale computing system are striking. Without a doubt, they justify a large investment, even with its inherent risks. The possibilities for return on investment (by any measure) are too large to let us ignore this opportunity. The software opportunities and challenges are enormous. In fact, as one notable computational scientist put it, the scale of questions being asked at the exascale is tremendous and the hardware has gotten way ahead of the software. We are in grave danger of failing because of a software crisis unless concerted investments and coordinating activities are undertaken to reduce and close this hardwaresoftware gap over the next decade. Key to success will be a rigorous requirement for natural mapping of algorithms to hardware in a way that complements (rather than competes with) compilers and runtime systems. The level of abstraction must be raised, and more attention must be paid to functionalities and capabilities that incorporate intent into data structures, are aware of memory hierarchy, possess fault tolerance, exploit asynchronism, and are power-consumption aware. On the other hand, we must also provide application scientists with the ability to develop software without having to become experts in the computer science components. Numerical algorithms are scattered broadly across science domains, with no one particular algorithm being ubiquitous and no one algorithm going unused. Structured grids and dense linear algebra continue to dominate, but other algorithm categories will become more common. A significant increase is projected for Monte Carlo algorithms, unstructured grids, sparse linear algebra, and particle methods, and a relative decrease foreseen in fast Fourier transforms. These projections reflect the expectation of much higher architecture concurrency and the resulting need for very high scalability. The new algorithm categories that application scientists expect to be increasingly important in the next decade include adaptive mesh refinement, implicit nonlinear systems, data assimilation, agent-based methods, parameter continuation, and optimization. The attributes of leadership computing systems expected to increase most in priority over the next decade are (in order of importance) interconnect bandwidth, memory bandwidth, mean time to interrupt, memory latency, and interconnect latency. The attributes expected to decrease most in relative priority are disk latency, archival storage capacity, disk bandwidth, wide area network bandwidth, and local storage capacity. These choices by application developers reflect the expected needs of applications or the expected reality of available hardware. One interpretation is that the increasing priorities reflect the desire to increase computational efficiency to take advantage of increasing peak flops [floating point operations per second], while the decreasing priorities reflect the expectation that computational efficiency will not increase. Per-core requirements appear to be relatively static, while aggregate requirements will grow with the system. This projection is consistent with a r

Ahern, Sean [ORNL; Alam, Sadaf R [ORNL; Fahey, Mark R [ORNL; Hartman-Baker, Rebecca J [ORNL; Barrett, Richard F [ORNL; Kendall, Ricky A [ORNL; Kothe, Douglas B [ORNL; Mills, Richard T [ORNL; Sankaran, Ramanan [ORNL; Tharrington, Arnold N [ORNL; White III, James B [ORNL

2007-12-01T23:59:59.000Z

77

Performance Analysis of Generics in Scientific Computing Laurentiu Dragan Stephen M. Watt  

E-Print Network [OSTI]

Performance Analysis of Generics in Scientific Computing Laurentiu Dragan Stephen M. Watt Ontario Research Centre for Computer Algebra University of Western Ontario London, Ontario, Canada N6A 5B7 {ldragan,watt

Watt, Stephen M.

78

Savannah River National Laboratory (SRNL) Scientific Computing Where We Have Been And  

E-Print Network [OSTI]

Savannah River National Laboratory (SRNL) ­ Scientific Computing ­ Where We Have Been And Where We Are Going! Emphasis on Scientific Computing Mary K Harris, PhD Chief Information Officer Presented 310 square miles ­ Fourth largest DOE site in the United States (behind Nevada Test Site, Idaho

Valtorta, Marco

79

Supporting Advanced Scientific Computing Research * Basic Energy Sciences * Biological  

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

Network Monitoring and Network Monitoring and Visualiza4on at ESnet Jon Dugan, Network Engineer ESnet Network Engineering Group February 3, 2010 Winter Joint Techs, Salt Lake City, UT Overview Data Collec4on (ESxSNMP) Data Visualiza4on (Graphite) Event/Metadata Log (Net Almanac) ESxSNMP: Goals * Automate everything possible * Provide summaries but don't lose raw data - Disk is cheap - It can be useful to take a hard look at the past * Flexibility and scalability * Minimize up front assumptions * Protect data collection from DoS by users * Make data easy to access and manipulate ESxSNMP: Polling * Interface metadata - Automatically detects new interfaces - Automatically detects interface changes - Historical log of interface info * Automatic addition of new devices

80

DOE researchers advance scientific computing with record-setting...  

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

by the next generation of cosmological surveys to help elucidate the nature of dark energy and dark matter. The HACC framework is designed for extreme performance in the weak...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

1 10GE DF circuit between AofA-NEWY up on Feb 2nd 1 1GE PPPL on May 27th 1 1GE SDN between PPPL (GFDL) ­ WASH on June 1st 1 10GE LIMAN#3, LIMAN#4 & AofA-NEWY dark fiber (Feb 2009) · 1 1GE PPPL to HEP

82

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

;2/2/10 IPv6 SNMP and EUI-64 Addressing The SNMP router ACL (Access Control List) was initially configured to the server. Interestingly the Red Hat server used an EUI-64 address for the source of it's SNMP polls

83

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

Bechtel-NV IARC INL NSTEC Pantex SNLA DOE-ALB Allied Signal KCP SRS NREL DOE NETL NNSA ARM ORAU OSTI NOAA

84

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

facilities, or from the data's facility of origin back to the researcher's home institution. " From the BES. · First deployments in the nets with open science missions and exchange points #12;Example: US Atlas

85

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics Science ­ they carry many types of traffic ­ Desktop machines, laptops, wireless ­ VOIP ­ HVAC control systems

86

Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological  

E-Print Network [OSTI]

of Transatlantic Circuits by European LHC Tier 2 Accesses of US LHC Tier 1 Centers February, 2010 William E.es.net #12;Managing Transatlantic Capacity Used by non-OPN LHC · The Tier 2 accesses across the Atlantic (in capacity of the OPN · G?ANT provides transatlantic capacity for general IP traffic, as does NSF / IRNC

87

National Energy Research Scientific Computing Center 2007 Annual Report  

E-Print Network [OSTI]

and Directions in High Performance Computing for the Officein the evolution of high performance computing and networks.Hectopascals High performance computing High Performance

Hules, John A.

2008-01-01T23:59:59.000Z

88

Advanced Environments and Tools for High Performance Computing  

E-Print Network [OSTI]

Advanced Environments and Tools for High Performance Computing Problem-Solving Environments Environments and Tools for High Performance Computing. The conference was chaired by Professor D. W. Walker and managing distributed high performance comput- ing resources is important for a PSE to meet the requirements

Walker, David W.

89

International Journal of Foundations of Computer Science fl World Scientific Publishing Company  

E-Print Network [OSTI]

International Journal of Foundations of Computer Science c fl World Scientific Publishing Company Science, University of Idaho Moscow, Idaho 83844­1010, USA and MOSHE DROR MIS Department, University

Krings, Axel W.

90

OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...  

Office of Scientific and Technical Information (OSTI)

for Energy, ACME, Advanced Scientific Computing Research, ASCR, climate change, earth systems modeling, High-performance computing, HPC, In the OSTI Collections, Supercomputers...

91

E-Print Network 3.0 - accelerating scientific discovery Sample...  

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

scientific discovery Page: << < 1 2 3 4 5 > >> 1 U.S. Department of Energy Scientific Discovery through Advanced Computing SciDAC 2010 Summary: U.S. Department of Energy Scientific...

92

Advanced simulation capability for environmental management (ASCEM): An overview of initial results  

E-Print Network [OSTI]

Research (ASCR) Offices Scientific Discovery through Advanced Computing (SciDAC) program, and the DOE National Nuclear

Williamson, M.

2012-01-01T23:59:59.000Z

93

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...

94

Math 330 -Introduction to Scientific Computing -Spring 2011  

E-Print Network [OSTI]

will #12;consist of theoretical problems as well as computational projects. We will use MATLAB Computing and MATLAB 2. Systems of linear equations: Conditioning and stability 3. Solving linear systems in throughout the course. I will provide a MATLAB tutorial. Solutions to the homework problems will be posted

Turc, Catalin

95

Supercomputing and Advanced Computing at the National Labs | Department of  

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

Energy.gov » Supercomputing and Advanced Computing at the National Energy.gov » Supercomputing and Advanced Computing at the National Labs Supercomputing and Advanced Computing at the National Labs RSS September 30, 2013 Lab Breakthrough: Supercomputing Power to Accelerate Fossil Energy Research Learn how a new supercomputer at the National Energy Technology Laboratory will accelerate research into the next generation of fossil fuel systems. September 26, 2013 Infographic by Sarah Gerrity, Energy Department. INFOGRAPHIC: Everything You Need to Know About Supercomputers In our newest infographic, we explain some of the complex terms associated with the speed, storage and processing on supercomputers; the game changing work being done with them; and the top 8 supercomputers that call the

96

International Scientific Conference Computer Science'2008 Near-Native Protein Folding  

E-Print Network [OSTI]

International Scientific Conference Computer Science'2008 61 Near-Native Protein Folding Stefka: The protein folding problem is a fundamental problem in computational molecular biology. The high resolution 3. After that the folding problem is de- fined like optimization problem. Keywords: Protein folding

Fidanova, Stefka

97

Cloud computing security: the scientific challenge, and a survey of solutions  

E-Print Network [OSTI]

Cloud computing security: the scientific challenge, and a survey of solutions Mark D. Ryan University of Birmingham January 28, 2013 Abstract We briefly survey issues in cloud computing security. The fact that data is shared with the cloud service provider is identified as the core sci- entific problem

Ryan, Mark

98

Laboratory Directed Research & Development Page National Energy Research Scientific Computing Center  

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

& Development & Development Page National Energy Research Scientific Computing Center T3E Individual Node Optimization Michael Stewart, SGI/Cray, 4/9/98 * Introduction * T3E Processor * T3E Local Memory * Cache Structure * Optimizing Codes for Cache Usage * Loop Unrolling * Other Useful Optimization Options * References 1 Laboratory Directed Research & Development Page National Energy Research Scientific Computing Center Introduction * Primary topic will be single processor optimization * Most codes on the T3E are dominated by computation * Processor interconnect specifically designed for high performance codes, unlike the T3E processor * More detailed information available on the web (see References) * Fortran oriented, but I will give C compiler flag equivalents.

99

ECE 585 Advanced Computer Architecture Spring 2009  

E-Print Network [OSTI]

and Its Basic Implementation HSI3: 2, 5.1­5.4 HSI4: 2, 4.1­4.4 QA3: 2 QA4: B.1­B.9 2 1/27 Pipelining/3 ILP Overview and Implementation QA3: 3.5­3.6, 4.3 QA4: 2.7­2.10 Notes 8 3/10 Memory Hierarchy I HSI3585].) Prerequisite: Combinational and sequential circuit design. Computer programming. Experience

Wang, Jia

100

E-Print Network 3.0 - advanced computer simulations Sample Search...  

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

computer simulation of biomolecular systems Wilfred F. van Gunsteren... computing power. Recent advances in simulation methodology e.g. to rapidly compute many free energies...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

E-Print Network 3.0 - advanced computational simulation Sample...  

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

computer simulation of biomolecular systems Wilfred F. van Gunsteren... computing power. Recent advances in simulation methodology e.g. to rapidly compute many free energies...

102

SIAM Conference on Parallel Processing for Scientific Computing - March 12-14, 2008  

SciTech Connect (OSTI)

The themes of the 2008 conference included, but were not limited to: Programming languages, models, and compilation techniques; The transition to ubiquitous multicore/manycore processors; Scientific computing on special-purpose processors (Cell, GPUs, etc.); Architecture-aware algorithms; From scalable algorithms to scalable software; Tools for software development and performance evaluation; Global perspectives on HPC; Parallel computing in industry; Distributed/grid computing; Fault tolerance; Parallel visualization and large scale data management; and The future of parallel architectures.

None

2008-09-08T23:59:59.000Z

103

Certainty in Stockpile Computing: Recommending a Verification and Validation Program for Scientific Software  

SciTech Connect (OSTI)

As computing assumes a more central role in managing the nuclear stockpile, the consequences of an erroneous computer simulation could be severe. Computational failures are common in other endeavors and have caused project failures, significant economic loss, and loss of life. This report examines the causes of software failure and proposes steps to mitigate them. A formal verification and validation program for scientific software is recommended and described.

Lee, J.R.

1998-11-01T23:59:59.000Z

104

CSc 155 Advanced Computer Graphics Fall 2013 Scott Gordon  

E-Print Network [OSTI]

the camera forward a small amount (i.e. in the N direction). S ­ move the camera backward a small amount (i.e1 CSc 155 ­ Advanced Computer Graphics Fall 2013 Scott Gordon Assignment # 2 ­ 3D Model Viewing DUE left"). D ­ move the camera a small amount in the positive U direction (also called "strafe right"). E

Gordon, Scott

105

Nov 4, 2014 1 CSCE 6610:Advanced Computer Architecture  

E-Print Network [OSTI]

is maintaining the performance growth rate of the system mem- ory. Typically, the disk is five orders of magnitude slower than the rest of the system [6] making frequent misses in system main memory a major of the Somewhat dated access latency chart #12;11/6/14 2 Nov 4, 2014 3 CSCE 6610:Advanced Computer Architecture

Kavi, Krishna

106

Sept. 04, 2012 CSCE 6610:Advanced Computer Architecture  

E-Print Network [OSTI]

CSCE 6610:Advanced Computer Architecture Iso-Efficiency Maintain the same efficiency for a problem include some overhead in distributing the matrices Tp = f(p) +n3/p Efficiency = (speed up)/p = [f -- which will be included in the Tp the time taken in the parallel mode Remember the concept

Kavi, Krishna

107

Hypergraph-based Dynamic Load Balancing for Adaptive Scientific Computations  

E-Print Network [OSTI]

- gration cost to move data, thereby reducing total execution time. The new model can be solved using Nuclear Security Administration under Contract DE- AC04-94AL85000. This work was supported by the NNSA computations [7]. Even if the original problem is well balanced, e.g., by using graph or hypergraph parti

Boman, Erik

108

New Mathematics and Natural Computation World Scientific Publishing Company  

E-Print Network [OSTI]

@alumni.caltech.edu NEAMAT EL GAYAR Faculty of Computer and Information Technology, Cairo University, Giza, Egypt. elgayar consider the problem of missing data, and develop an ensemble-network model for handling the missing data their probability distribution function. We repeat this procedure many times thereby creating a number of complete

Atiya, Amir

109

Energy Department Seeks Proposals to Use Scientific Computing Resources at Lawrence Berkeley, Oak Ridge National Laboratories  

Broader source: Energy.gov [DOE]

WASHINGTON, DC -- Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science is seeking proposals to support computational science projects to enable high-impact advances...

110

Hybrid approach to failure prediction for advanced computing systems |  

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

Hybrid approach to failure prediction for advanced computing systems Hybrid approach to failure prediction for advanced computing systems January 8, 2014 Tweet EmailPrint "Fault tolerance is no longer an option but a necessity," states Franck Cappello, project manager of research on resilience at the extreme scale at Argonne National Laboratory. "And the ability to reliably predict failures can significantly reduce the overhead of fault-tolerance strategies and the recovery cost." In a special issue article in the International Journal of High Performance Computing Applications, Cappello and his colleagues at Argonne and the University of Illinois at Urbana-Champaign (UIUC) discuss issues in failure prediction and present a new hybrid approach to overcome the limitations of current models. One popular way of building prediction models is to analyze log files,

111

E-Print Network 3.0 - advanced computational algorithm Sample...  

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

algorithm Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced computational algorithm Page: << < 1 2 3 4 5 > >> 1 Boston University Fall 2010...

112

E-Print Network 3.0 - advanced computer architectures Sample...  

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

architectures Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced computer architectures Page: << < 1 2 3 4 5 > >> 1 Architecture Architecture...

113

Feb. 11, 2008 Advanced Fault Tolerance Solutions for High Performance Computing 1/47 Advanced Fault Tolerance Solutions  

E-Print Network [OSTI]

Feb. 11, 2008 Advanced Fault Tolerance Solutions for High Performance Computing 1/47 RAS RAS Advanced Fault Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Solutions for High Performance Computing 2/47 · Nation's largest energy laboratory · Nation's largest

Engelmann, Christian

114

NERSC 2011: High Performance Computing Facility Operational Assessment for the National Energy Research Scientific Computing Center  

E-Print Network [OSTI]

NERSC 2011 High Performance Computing Facility Operationalby providing high-performance computing, information, data,s deep knowledge of high performance computing to overcome

Antypas, Katie

2013-01-01T23:59:59.000Z

115

High-Performance, Power-Aware Distributed Computing for Scientific Applications  

Science Journals Connector (OSTI)

The PowerPack framework enables distributed systems to profile, analyze, and conserve energy in scientific applications using dynamic voltage scaling. For one common benchmark, the framework achieves more than 30 percent energy savings with minimal performance ... Keywords: Power-aware computing, Distributed systems, Dynamic voltage scaling, PowerPack framework

Kirk W. Cameron; Rong Ge; Xizhou Feng

2005-11-01T23:59:59.000Z

116

PARTITIONING HYPERGRAPHS IN SCIENTIFIC COMPUTING APPLICATIONS THROUGH VERTEX SEPARATORS ON GRAPHS  

E-Print Network [OSTI]

however, comes at a cost: algorithms on hypergraphs are inherently more complicated than those on graphsPARTITIONING HYPERGRAPHS IN SCIENTIFIC COMPUTING APPLICATIONS THROUGH VERTEX SEPARATORS ON GRAPHS of hypergraphs, nor the runtime efficiency of graph algorithms can be overlooked. Therefore, the new research

Pinar, Ali

117

Improving Energy Efficiency of GPU based General-Purpose Scientific Computing through  

E-Print Network [OSTI]

Improving Energy Efficiency of GPU based General-Purpose Scientific Computing through Automated challenge. In this paper, we propose a novel framework to improve the energy efficiency of GPU-based General configurations to improve the energy efficiency of any given GPGPU program. Through preliminary empirical

Deng, Zhigang

118

MigThread: Thread Migration in DSM Systems Institute for Scientific Computing  

E-Print Network [OSTI]

MigThread: Thread Migration in DSM Systems Hai Jiang Institute for Scientific Computing Wayne State University and Cradle Technologies, Inc. vipin@wayne.edu Abstract Distributed Shared Memory (DSM) systems on Networks of Work- stations (NOWs). In this paper, we propose an infrastruc- ture for DSM systems to utilize

Chaudhary, Vipin

119

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi  

E-Print Network [OSTI]

Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. Additionally, future performance growth will come from heterogeneous, many-core, and high computing density platforms with specialized processors. In this paper, we examine the Intel Xeon Phi Many Integrated Cores (MIC) co-processor and Applied Micro X-Gene ARMv8 64-bit low-power server system-on-a-chip (SoC) solutions for scientific computing applications. We report our experience on software porting, performance and energy efficiency and evaluate the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).

David Abdurachmanov; Brian Bockelman; Peter Elmer; Giulio Eulisse; Robert Knight; Shahzad Muzaffar

2014-10-10T23:59:59.000Z

120

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi  

E-Print Network [OSTI]

Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. Additionally, future performance growth will come from heterogeneous, many-core, and high computing density platforms with specialized processors. In this paper, we examine the Intel Xeon Phi Many Integrated Cores (MIC) co-processor and Applied Micro X-Gene ARMv8 64-bit low-power server system-on-a-chip (SoC) solutions for scientific computing applications. We report our experience on software porting, performance and energy efficiency and evaluate the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).

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

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

New classes of magnetoelectric materials promise advances in computing  

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

New classes of magnetoelectric materials promise advances in computing New classes of magnetoelectric materials promise advances in computing technology By Jared Sagoff * February 7, 2013 Tweet EmailPrint ARGONNE, Ill. - Although scientists have been aware that magnetism and electricity are two sides of the same proverbial coin for almost 150 years, researchers are still trying to find new ways to use a material's electric behavior to influence its magnetic behavior, or vice versa. Thanks to new research by an international team of researchers led by the U.S. Department of Energy's Argonne National Laboratory, physicists have developed new methods for controlling magnetic order in a particular class of materials known as "magnetoelectrics." Magnetoelectrics get their name from the fact that their magnetic and electric properties are coupled to each other. Because this physical link

122

High-Performance Computing for Advanced Smart Grid Applications  

SciTech Connect (OSTI)

The power grid is becoming far more complex as a result of the grid evolution meeting an information revolution. Due to the penetration of smart grid technologies, the grid is evolving as an unprecedented speed and the information infrastructure is fundamentally improved with a large number of smart meters and sensors that produce several orders of magnitude larger amounts of data. How to pull data in, perform analysis, and put information out in a real-time manner is a fundamental challenge in smart grid operation and planning. The future power grid requires high performance computing to be one of the foundational technologies in developing the algorithms and tools for the significantly increased complexity. New techniques and computational capabilities are required to meet the demands for higher reliability and better asset utilization, including advanced algorithms and computing hardware for large-scale modeling, simulation, and analysis. This chapter summarizes the computational challenges in smart grid and the need for high performance computing, and present examples of how high performance computing might be used for future smart grid operation and planning.

Huang, Zhenyu; Chen, Yousu

2012-07-06T23:59:59.000Z

123

Unsolicited Projects in 2012: Research in Computer Architecture, Modeling,  

Office of Science (SC) Website

2: Research in Computer Architecture, 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) Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301)

124

A New Approach in Advance Network Reservation and Provisioning for High-Performance Scientific Data Transfers  

SciTech Connect (OSTI)

Scientific applications already generate many terabytes and even petabytes of data from supercomputer runs and large-scale experiments. The need for transferring data chunks of ever-increasing sizes through the network shows no sign of abating. Hence, we need high-bandwidth high speed networks such as ESnet (Energy Sciences Network). Network reservation systems, i.e. ESnet's OSCARS (On-demand Secure Circuits and Advance Reservation System) establish guaranteed bandwidth of secure virtual circuits at a certain time, for a certain bandwidth and length of time. OSCARS checks network availability and capacity for the specified period of time, and allocates requested bandwidth for that user if it is available. If the requested reservation cannot be granted, no further suggestion is returned back to the user. Further, there is no possibility from the users view-point to make an optimal choice. We report a new algorithm, where the user specifies the total volume that needs to be transferred, a maximum bandwidth that he/she can use, and a desired time period within which the transfer should be done. The algorithm can find alternate allocation possibilities, including earliest time for completion, or shortest transfer duration - leaving the choice to the user. We present a novel approach for path finding in time-dependent networks, and a new polynomial algorithm to find possible reservation options according to given constraints. We have implemented our algorithm for testing and incorporation into a future version of ESnet?s OSCARS. Our approach provides a basis for provisioning end-to-end high performance data transfers over storage and network resources.

Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

2010-01-28T23:59:59.000Z

125

E-Print Network 3.0 - advanced scientific component Sample Search...  

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

software for high-performance scientific Yuri Alexeev, Benjamin A. Allan, Robert C. Armstrong, David E. Bernholdt, Summary: Component-based software for high-performance...

126

Editorial for Advanced Theory and Practice for High Performance Computing and Communications Geoffrey Fox  

E-Print Network [OSTI]

Editorial for Advanced Theory and Practice for High Performance Computing and Communications Theory and Practice for High Performance Computing and Communications. I would like to thank Omer Rana International Conference on High Performance Computing and Communications (HPCC-09) http

127

June 4, 2007 Advanced Fault Tolerance Solutions for High Performance Computing  

E-Print Network [OSTI]

June 4, 2007 Advanced Fault Tolerance Solutions for High Performance Computing Workshop on Trends Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Laboratory, Oak Solutions for High Performance Computing Workshop on Trends, Technologies and Collaborative Opportunities

Engelmann, Christian

128

June 8, 2007 Advanced Fault Tolerance Solutions for High Performance Computing  

E-Print Network [OSTI]

June 8, 2007 Advanced Fault Tolerance Solutions for High Performance Computing Workshop on Trends Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Laboratory, Oak for High Performance Computing Workshop on Trends, Technologies and Collaborative Opportunities in High

Engelmann, Christian

129

Final Report for the Account Creation/Deletion Reenginering Task for the Scientific Computing Department  

SciTech Connect (OSTI)

In October 2000, the personnel responsible for administration of the corporate computers managed by the Scientific Computing Department assembled to reengineer the process of creating and deleting users' computer accounts. Using the Carnegie Mellon Software Engineering Institute (SEI) Capability Maturity Model (CMM) for quality improvement process, the team performed the reengineering by way of process modeling, defining and measuring the maturity of the processes, per SEI and CMM practices. The computers residing in the classified environment are bound by security requirements of the Secure Classified Network (SCN) Security Plan. These security requirements delimited the scope of the project, specifically mandating validation of all user accounts on the central corporate computer systems. System administrators, in addition to their assigned responsibilities, were spending valuable hours performing the additional tacit responsibility of tracking user accountability for user-generated data. For example, in cases where the data originator was no longer an employee, the administrators were forced to spend considerable time and effort determining the appropriate management personnel to assume ownership or disposition of the former owner's data files. In order to prevent this sort of problem from occurring and to have a defined procedure in the event of an anomaly, the computer account management procedure was thoroughly reengineered, as detailed in this document. An automated procedure is now in place that is initiated and supplied data by central corporate processes certifying the integrity, timeliness and authentication of account holders and their management. Automated scripts identify when an account is about to expire, to preempt the problem of data becoming ''orphaned'' without a responsible ''owner'' on the system. The automated account-management procedure currently operates on and provides a standard process for all of the computers maintained by the Scientific Computing Department.

JENNINGS, BARBARA J.; MCALLISTER, PAULA L.

2002-04-01T23:59:59.000Z

130

Advanced Simulation & Computing FY09-FY10 Implementation Plan Volume 2, Rev. 0  

SciTech Connect (OSTI)

The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the safety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future nonnuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC)1 is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear-weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable Stockpile Life Extension Programs (SLEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining the support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1. Robust Tools--Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2--Prediction through Simulation. Deliver validated physics and engineering tools to enable simulations of nuclear-weapons performances in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3--Balanced Operational Infrastructure. Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

Meisner, R; Perry, J; McCoy, M; Hopson, J

2008-04-30T23:59:59.000Z

131

Advanced Simulation and Computing FY10-11 Implementation Plan Volume 2, Rev. 0  

SciTech Connect (OSTI)

The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1 Robust Tools--Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2 Prediction through Simulation--Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3 Balanced Operational Infrastructure--Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

Carnes, B

2009-06-08T23:59:59.000Z

132

Advanced Simulation and Computing Fiscal Year 2011-2012 Implementation Plan, Revision 0  

SciTech Connect (OSTI)

The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering (D&E) programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional (3D) simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: Objective 1 - Robust Tools. Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements. Objective 2 - Prediction through Simulation. Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile. Objective 3 - Balanced Operational Infrastructure. Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

McCoy, M; Phillips, J; Hpson, J; Meisner, R

2010-04-22T23:59:59.000Z

133

Advanced Simulation and Computing FY09-FY10 Implementation Plan Volume 2, Rev. 1  

SciTech Connect (OSTI)

The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: (1) Robust Tools - Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements; (2) Prediction through Simulation - Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile; and (3) Balanced Operational Infrastructure - Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

Kissel, L

2009-04-01T23:59:59.000Z

134

Advanced Simulation and Computing FY10-FY11 Implementation Plan Volume 2, Rev. 0.5  

SciTech Connect (OSTI)

The Stockpile Stewardship Program (SSP) is a single, highly integrated technical program for maintaining the surety and reliability of the U.S. nuclear stockpile. The SSP uses past nuclear test data along with current and future non-nuclear test data, computational modeling and simulation, and experimental facilities to advance understanding of nuclear weapons. It includes stockpile surveillance, experimental research, development and engineering (D&E) programs, and an appropriately scaled production capability to support stockpile requirements. This integrated national program requires the continued use of current facilities and programs along with new experimental facilities and computational enhancements to support these programs. The Advanced Simulation and Computing Program (ASC) is a cornerstone of the SSP, providing simulation capabilities and computational resources to support the annual stockpile assessment and certification, to study advanced nuclear weapons design and manufacturing processes, to analyze accident scenarios and weapons aging, and to provide the tools to enable stockpile Life Extension Programs (LEPs) and the resolution of Significant Finding Investigations (SFIs). This requires a balanced resource, including technical staff, hardware, simulation software, and computer science solutions. In its first decade, the ASC strategy focused on demonstrating simulation capabilities of unprecedented scale in three spatial dimensions. In its second decade, ASC is focused on increasing its predictive capabilities in a three-dimensional (3D) simulation environment while maintaining support to the SSP. The program continues to improve its unique tools for solving progressively more difficult stockpile problems (focused on sufficient resolution, dimensionality and scientific details); to quantify critical margins and uncertainties (QMU); and to resolve increasingly difficult analyses needed for the SSP. Moreover, ASC has restructured its business model from one that was very successful in delivering an initial capability to one that is integrated and focused on requirements-driven products that address long-standing technical questions related to enhanced predictive capability in the simulation tools. ASC must continue to meet three objectives: (1) Robust Tools - Develop robust models, codes, and computational techniques to support stockpile needs such as refurbishments, SFIs, LEPs, annual assessments, and evolving future requirements; (2) Prediction through Simulation - Deliver validated physics and engineering tools to enable simulations of nuclear weapons performance in a variety of operational environments and physical regimes and to enable risk-informed decisions about the performance, safety, and reliability of the stockpile; and (3) Balanced Operational Infrastructure - Implement a balanced computing platform acquisition strategy and operational infrastructure to meet Directed Stockpile Work (DSW) and SSP needs for capacity and high-end simulation capabilities.

Meisner, R; Peery, J; McCoy, M; Hopson, J

2009-09-08T23:59:59.000Z

135

Innovative & Novel Computational Impact on Theory & Experiement (INCITE) |  

Office of Science (SC) Website

Innovative Innovative & Novel Computational Impact on Theory and Experiment (INCITE) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building

136

Review: Future Codes: Essays in Advanced Computer Technology and the Law  

Science Journals Connector (OSTI)

......Essays in Advanced Computer Technology and the Law Curtis Karnow...Essays in Advanced Computer Technology and the Law Curtis Karnow...theme is that in advanced technology the legal system is unable...Engineering Wolverhampton University Intranet Security ?? Intranet Security......

Jeremy Holt

1998-05-01T23:59:59.000Z

137

MiniGhost : a miniapp for exploring boundary exchange strategies using stencil computations in scientific parallel computing.  

SciTech Connect (OSTI)

A broad range of scientific computation involves the use of difference stencils. In a parallel computing environment, this computation is typically implemented by decomposing the spacial domain, inducing a 'halo exchange' of process-owned boundary data. This approach adheres to the Bulk Synchronous Parallel (BSP) model. Because commonly available architectures provide strong inter-node bandwidth relative to latency costs, many codes 'bulk up' these messages by aggregating data into a message as a means of reducing the number of messages. A renewed focus on non-traditional architectures and architecture features provides new opportunities for exploring alternatives to this programming approach. In this report we describe miniGhost, a 'miniapp' designed for exploration of the capabilities of current as well as emerging and future architectures within the context of these sorts of applications. MiniGhost joins the suite of miniapps developed as part of the Mantevo project.

Barrett, Richard Frederick; Heroux, Michael Allen; Vaughan, Courtenay Thomas

2012-04-01T23:59:59.000Z

138

Computational Science Graduate Fellowship (CSGF) | U.S. DOE Office of  

Office of Science (SC) Website

Computational Computational Science Graduate Fellowship (CSGF) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information » Research Computational Science Graduate Fellowship (CSGF) Print Text Size: A A A RSS Feeds

139

Sandia National Laboratories: Advanced Simulation Computing: Verification &  

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

Verification & Validation Verification & Validation high-fidelity simulations The Verification and Validation (V&V) program conducts two major activities at Sandia. The first is to perform assessments and studies that quantify confidence in Advanced Simulation and Computing (ASC) calculation results. The second activity develops and improves V&V and uncertainty quantification methods, metrics, and standards. Assessments This project area conducts studies and assessments for Sandia's engineering simulation focus areas (outlined below). These assessments quantify the prediction uncertainty of the engineering codes as they apply to applications in the four focus areas. Safety and Security This area focuses on engineering codes as they apply to nuclear weapon. External load prediction capability includes mechanical (impact, pressure,)

140

Final Week of National Energy Action Month Features Technological Advances in Clean Energy and DOE Support of Scientific Research  

Broader source: Energy.gov [DOE]

WASHINGTONDepartment of Energy officials will attend events across the country next week to highlight the clean energy technological advances and scientific initiatives supported by DOE. During the final week of National Energy Action Month, senior DOE officials will participate in events from San Francisco to North Carolina to Washington. Throughout October, Secretary of Energy Ernest Moniz and other Department officials are participating in events to emphasize the important role that the Administrations all-of-the-above energy strategy plays in strengthening Americas economic, environmental and national security future.

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

ALCF Acknowledgment Policy | Argonne Leadership Computing Facility  

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

ALCF Acknowledgment Policy As a U.S. Department of Energy user facility dedicated to the advancement of scientific discoveries, the Argonne Leadership Computing Facility (ALCF)...

142

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

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

Computer 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) Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information »

143

MATLAB muliplatform research license: Numeric computation, advanced graphics and visualization, and a high-level programming  

E-Print Network [OSTI]

MATLAB muliplatform research license: Numeric computation, advanced graphics and visualization license allows research and includes the following: Feature # of users MATLAB 7 Simulink 6 Control System

Dawson, Jeff W.

144

2012 Scientific Collaborations at Extreme-Scale | U.S. DOE Office of  

Office of Science (SC) Website

Next Next Generation Networking » 2012 Scientific Collaborations at Extreme-Scale Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking 2012 Scientific Collaborations at Extreme-Scale Scientific Discovery through Advanced Computing (SciDAC) Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information » Next Generation Networking

145

Weapons Activities/ Advanced Simulation and Computing Campaign FY 2011 Congressional Budget  

E-Print Network [OSTI]

Weapons Activities/ Advanced Simulation and Computing Campaign FY 2011 Congressional Budget weapons assessment and certification requirements including weapon codes, weapons science, computing testing to determine weapon behavior. As such, ASC simulations are central to our national security. Our

146

SCANNING THE TECHNOLOGY Scanning Advanced  

E-Print Network [OSTI]

state of refinement. This has been made possible by advancements in a wide spec- trum of scientific economy, lower emissions and improved safety. The availability of computers on board the vehicle

147

ITER UltraScaleScientific Joint Dark Energy Mission ComputingCapability  

E-Print Network [OSTI]

National Synchroton Super Neutrino Beam Advanced Light Source Upgrade Light Source Upgrade Advanced Photon

148

Development of Computational Approaches for Simulation and Advanced Controls for Hybrid Combustion-Gasification Chemical Looping  

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

Computational Approaches Computational Approaches for Simulation and Advanced Controls for Hybrid Combustion-Gasification Chemical Looping Background The United States Department of Energy (DOE) National Energy Technology Laboratory (NETL) develops affordable and clean energy from coal and other fossil fuels to secure a sustainable energy economy. To further this mission, NETL funds research and development of advanced control technologies, including chemical looping (CL)

149

Argonne Leadership Computing Facility (ALCF) | U.S. DOE Office of Science  

Office of Science (SC) Website

Argonne Argonne Leadership Computing Facility (ALCF) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301)

150

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

Office of Science (SC) Website

ASCR ASCR Leadership Computing Challenge (ALCC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) ALCC Application Details ALCC Past Awards Frequently Asked Questions Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy

151

DOE High Performance Computing Operational Review (HPCOR): Enabling Data-Driven Scientific Discovery at HPC Facilities  

SciTech Connect (OSTI)

U.S. Department of Energy (DOE) High Performance Computing (HPC) facilities are on the verge of a paradigm shift in the way they deliver systems and services to science and engineering teams. Research projects are producing a wide variety of data at unprecedented scale and level of complexity, with community-specific services that are part of the data collection and analysis workflow. On June 18-19, 2014 representatives from six DOE HPC centers met in Oakland, CA at the DOE High Performance Operational Review (HPCOR) to discuss how they can best provide facilities and services to enable large-scale data-driven scientific discovery at the DOE national laboratories. The report contains findings from that review.

Gerber, Richard; Allcock, William; Beggio, Chris; Campbell, Stuart; Cherry, Andrew; Cholia, Shreyas; Dart, Eli; England, Clay; Fahey, Tim; Foertter, Fernanda; Goldstone, Robin; Hick, Jason; Karelitz, David; Kelly, Kaki; Monroe, Laura; Prabhat,; Skinner, David; White, Julia

2014-10-17T23:59:59.000Z

152

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

Office of Science (SC) Website

Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Accessing ASCR Supercomputers Oak Ridge Leadership Computing Facility (OLCF) Argonne Leadership Computing Facility (ALCF) National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) Research & Evaluation Prototypes (REP) Innovative & Novel Computational Impact on Theory and Experiment (INCITE) ASCR Leadership Computing Challenge (ALCC) Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301)

153

The performance of minisupercomputers: Alliant, Convex, and SCS (Scientific Computer Systems)  

SciTech Connect (OSTI)

Recently several computers have appeared whose architectures feature many, if not all, of the characteristics of supercomputers, but whose electronic technology uses less expensive and more readily available components. Such machines have been labeled ''minisupercomputers.'' Currently, this class of computers includes those manufactured by Convex, Alliant, and Scientific Computer Systems (SCS). The strategy of these minisupercomputer vendors is to produce a machine that may not provide as much absolute performance as the high-end supercomputers, but exhibits a comparable or better price-performance ratio. While it is not the goal of this paper to comment on the specific price effectiveness of any particular machine, we believe that a proper evaluation of the minisupercomputers should include price data. This paper presents a detailed performance comparison of the Convex C-1, Alliant FX/8, and SCS-40 minisupercomputers. While the Convex C-1 is functionally similar to the CRAY-1 supercomputer, the SCS-40 actually emulates a CRAY X-MP/2, running the same instruction set and providing CRAY X-MP software. The Alliant series of machines are multiprocessors, containing up to eight processors (called computational elements, or CEs) that can run separate processes or cooperate on a single application. The Alliant system also includes a compiler that automatically attempts to partition a code for concurrent execution on several processors. In the first sections of this paper, the single processor performance of the FX/8 is compared with that of the C-1 and the SCS-40, as well as with a Digital Equipment Corporation (DEC) VAX 8600. In a later section, the parallel processing performance of the FX/8 is described. 21 refs.

Wasserman, H.J.; Simmons, M.L.; Lubeck, O.M.

1987-01-01T23:59:59.000Z

154

Advanced Eager Scheduling for Java-Based Adaptively Parallel Computing  

E-Print Network [OSTI]

Computation, folding@home from Stanford, the anti-cancer drug discovery project, screensaver lifesaver, from

Cappello, Peter

155

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

Office of Science (SC) Website

Advanced Scientific Computing Research U.S. Department of Energy SC-21Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301)...

156

Advanced Institute for Computational Science (AICS): Japanese National High-Performance Computing Research Institute and its 10-petaflops supercomputer "K"  

Science Journals Connector (OSTI)

Advanced Institute for Computational Science (AICS) was created in July 2010 at RIKEN under the supervision of Japanese Ministry of Education, Culture, Sports, Science, and Technology (MEXT) in order to establish the national center of excellence (COE) ... Keywords: AICS, K computer, center of excellence, supercomputer

Akinori Yonezawa; Tadashi Watanabe; Mitsuo Yokokawa; Mitsuhisa Sato; Kimihiko Hirao

2011-11-01T23:59:59.000Z

157

Sandia National Laboratories: Advanced Simulation Computing: Research &  

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

Research & Collaboration Research & Collaboration Partnerships among the national laboratories, industry, and academia leverage a broad spectrum of talent and multiply the effectiveness of our research efforts. These collaborations help solve the challenges of developing computing platforms and simulation tools across a number of disciplines. Computer Science Research Institute The Computer Science Research Institute brings university faculty and students to Sandia for focused collaborative research on DOE computer and computational science problems. Organized under the DOE Stockpile Computing Program, participants conduct leading-edge research, interact with scientists and engineers at the Laboratories, and help transfer the results of their research to programs at the Labs.

158

Advanced Security Technologies and Services for Future Computing Environments  

Science Journals Connector (OSTI)

......cooperative intelligent transportation systems 1. INTRODUCTION The development of computing environments, such as the smart grid, peer-to-peer, personal cloud, machine-to-machine, pervasive and ubiquitous computing, is changing our environ......

Young-Sik Jeong; Damien Sauveron; Jong Hyuk Park

2013-10-01T23:59:59.000Z

159

Advanced Eager Scheduling for JavaBased Adaptively Parallel Computing #  

E-Print Network [OSTI]

Computation, folding@home from Stanford, the anti­cancer drug discovery project, screensaver lifesaver, from

Cappello, Peter

160

Office of Advanced Simulation and Computing and Institutional R&D Programs  

National Nuclear Security Administration (NNSA)

Advanced Simulation and Computing and Institutional R&D Programs Advanced Simulation and Computing and Institutional R&D Programs | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog ASC Office of Advanced Simulation and Computing and Institutional R&D Programs Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing and ...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

E-Print Network 3.0 - advanced computed tomography Sample Search...  

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

advanced computed tomography Page: << < 1 2 3 4 5 > >> 1 CAT scan and RadonX-ray transform Relations with the Fourier transform. Dual Radon Summary: problems X-ray tomography...

162

About the Advanced Computing Tech Team | Department of Energy  

Office of Environmental Management (EM)

the development of clean, high-efficiency engines for transportation. High performance computing (HPC) and high-fidelity simulations are critical to the mission. HPC...

163

Advanced Communication and Control for Distributed Energy Resource Integration: Phase 2 Scientific Report  

SciTech Connect (OSTI)

The objective of this research project is to demonstrate sensing, communication, information and control technologies to achieve a seamless integration of multivendor distributed energy resource (DER) units at aggregation levels that meet individual user requirements for facility operations (residential, commercial, industrial, manufacturing, etc.) and further serve as resource options for electric and natural gas utilities. The fully demonstrated DER aggregation system with embodiment of communication and control technologies will lead to real-time, interactive, customer-managed service networks to achieve greater customer value. Work on this Advanced Communication and Control Project (ACCP) consists of a two-phase approach for an integrated demonstration of communication and control technologies to achieve a seamless integration of DER units to reach progressive levels of aggregated power output. Phase I involved design and proof-of-design, and Phase II involves real-world demonstration of the Phase I design architecture. The scope of work for Phase II of this ACCP involves demonstrating the Phase I design architecture in large scale real-world settings while integrating with the operations of one or more electricity supplier feeder lines. The communication and control architectures for integrated demonstration shall encompass combinations of software and hardware components, including: sensors, data acquisition and communication systems, remote monitoring systems, metering (interval revenue, real-time), local and wide area networks, Web-based systems, smart controls, energy management/information systems with control and automation of building energy loads, and demand-response management with integration of real-time market pricing. For Phase II, BPL Global shall demonstrate the Phase I design for integrating and controlling the operation of more than 10 DER units, dispersed at various locations in one or more Independent System Operator (ISO) Control Areas, at an aggregated scale of more than 1 MW, to provide grid support. Actual performance data with respect to each specified function above is to be collected during the Phase II field demonstration. At a minimum, the Phase II demonstration shall span one year of field operations. The demonstration performance will need to be validated by the target customer(s) for acceptance and subsequent implementation. An ISO must be involved in demonstration planning and execution. As part of the Phase II work, BPL Global shall develop a roadmap to commercialization that identifies and quantifies the potential markets for the integrated, aggregated DER systems and for the communication and control technologies demonstrated in Phase I. In addition, the roadmap must identify strategies and actions, as well as the regional and national markets where the aggregated DER systems with communication and control solutions will be introduced, along with a timeline projected for introduction into each identified market. In Phase I of this project, we developed a proof-of-concept ACCP system and architecture and began to test its functionality at real-world sites. These sites had just over 10 MW of DERs and allowed us to identify what needed to be done to commercialize this concept. As a result, we started Phase II by looking at our existing platform and identified its strengths and weaknesses as well as how it would need to evolve for commercialization. During this process, we worked with different stakeholders in the market including: Independent System Operators, DER owners and operators, and electric utility companies to fully understand the issues from all of the different perspectives. Once we had an understanding of the commercialized ACCP system, we began to document and prepare detailed designs of the different system components. The components of the system with the most significant design improvements were: the on-site remote terminal unit, the communication technology between the remote site and the data center, and the scalability and reliability of the data center application.

BPL Global

2008-09-30T23:59:59.000Z

164

Advanced Simulation Capability for Environmental Management (ASCEM) |  

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

Advanced Simulation Capability for Environmental Management (ASCEM) Advanced Simulation Capability for Environmental Management (ASCEM) Advanced Simulation Capability for Environmental Management (ASCEM) Advanced Simulation Capability for Environmental Management (ASCEM) ASCEM is being developed to provide a tool and approach to facilitate robust and standardized development of performance and risk assessments for cleanup and closure activities throughout the EM complex. The ASCEM team is composed of scientists from eight National Laboratories. This team is leveraging Department of Energy (DOE) investments in basic science and applied research including high performance computing codes developed through the Advanced Scientific Computing Research and Advanced Simulation & Computing programs as well as collaborating with the Offices of Science,

165

Creating science-driven computer architecture: A new path to scientific leadership  

E-Print Network [OSTI]

Science-Driven Computer Architecture These inversions areCreating Science-Driven Computer Architecture whole systemRice U. ) Creating Science-Driven Computer Architecture

2002-01-01T23:59:59.000Z

166

Creating science-driven computer architecture: A new patch to scientific leadership  

E-Print Network [OSTI]

Creating Science-Driven Computer Architecture: A New Path toa New Class of Computer Architectures for Scientificthe development of computer architectures, thereby opening a

2003-01-01T23:59:59.000Z

167

Chapter 7 - Advances in Scalable Computational Chemistry: \\{NWChem\\}  

Science Journals Connector (OSTI)

Abstract \\{NWChem\\} is the highly scalable computational chemistry software package developed by the Molecular Sciences Software group for the Environmental Molecular Sciences Laboratory. The software provides a wide range of capabilities for quantum mechanical and classical mechanical modeling and simulation of chemical and biological systems. The software infrastructure has been designed to facilitate the rapid development and integration of new application modules with a convenient mechanism to enable large-scale computations that rely on a combination of methodologies to be used. Built using the partitioned global address space-based Global Arrays programming model, the design of the software separates the architecture-dependent communication layer from the computational chemistry modules. This results in a highly portable code in which only a relatively small part of the code needs to be ported to new computer architectures.

T.P. Straatsma; E.J. Bylaska; H.J.J. van Dam; N. Govind; W.A. de Jong; K. Kowalski; M. Valiev

2011-01-01T23:59:59.000Z

168

Advanced computational simulation of flow phenomena associated with orifice meters  

SciTech Connect (OSTI)

This paper presents and discusses results from a series of computational fluid dynamics (CFD) simulations of fluid flow phenomena associated with orifice meters. These simulations were performed using a new, state-of-the-art CFD code developed at Southwest Research Institute. This code is based on new techniques designed to take advantage of parallel computers to increase computational performance and fidelity of simulation results. This algorithm uses a domain decomposition strategy to create grid systems for very complex geometries composed of simpler geometric subregions, allowing for the accurate representation of the fluid flow domain. The domain decomposition technique maps naturally to parallel computer architectures. Here, the concept of message-passing is used to create a parallel algorithm, using the Parallel Virtual Machine (PVM) library. This code is then used to simulate the flow through an orifice meter run consisting of an orifice with a beta ratio of 0.5 and air flowing at a Reynolds number of 91,100. The work discussed in this paper is but the first step in developing a Virtual Metering Research Facility to support research, analysis, and formulation of new standards for metering.

Freitas, C.J. [Southwest Research Inst., San Antonio, TX (United States)

1995-12-31T23:59:59.000Z

169

18.337J / 6.338J Applied Parallel Computing (SMA 5505), Spring 2003  

E-Print Network [OSTI]

Advanced interdisciplinary introduction to modern scientific computing on parallel supercomputers. Numerical topics include dense and sparse linear algebra, N-body problems, and Fourier transforms. Geometrical topics include ...

Edelman, Alan

170

Advanced wellbore thermal simulator GEOTEMP2. Appendix. Computer program listing  

SciTech Connect (OSTI)

This appendix gives the program listing of GEOTEMP2 with comments and discussion to make the program organization more understandable. This appendix is divided into an introduction and four main blocks of code: main program, program initiation, wellbore flow, and wellbore heat transfer. The purpose and use of each subprogram is discussed and the program listing is given. Flowcharts will be included to clarify code organization when needed. GEOTEMP2 was written in FORTRAN IV. Efforts have been made to keep the programing as conventional as possible so that GEOTEMP2 will run without modification on most computers.

Mitchell, R.F.

1982-02-01T23:59:59.000Z

171

VisPortal: Increasing Scientific Productivity by Simplifying Access to and Use of Remote Computational Resources  

E-Print Network [OSTI]

Computational Resources Problem Statement Computational science is the process of modeling and simulating and simulations increase in capability, the data produced by computational science research projects grows ever and complexity of simulations, computing resources and analysis tools comes the need for researchers to master

172

COMPUTATIONAL STEERING: TOWARDS ADVANCED INTERACTIVE HIGH PERFORMANCE COMPUTING IN ENGINEERING SCIENCES  

E-Print Network [OSTI]

Key-words: Computational steering, high-performance computing, interactive simulation, virtual reality, CFD Computational Science and Engineering faces a continuous increase of speed of computers and availability of very fast networks. Yet, it seems that some opportunities offered by these ongoing developments are only used to a fraction for numerical simulation. Moreover, despite new possibilities from computer visualization, virtual or augmented reality and collaboration models, most available engineering software still follows the classical way of a strict separation of preprocessing, computing and postprocessing. This paper will first identify some of the major obstructions of an interactive computation for complex simulation tasks in engineering sciences. These are especially found in traditional software structures, in the definition of geometric models and boundary conditions and in the often still very tedious work of generating computational meshes. It then presents a generic approach for collaborative computational steering, where pre- and postprocessing is integrated with high

Ernst Rank; Andr Borrmann; Er Dster; Christoph Van Treeck; Petra Wenisch

2008-01-01T23:59:59.000Z

173

Development of Computation Capabilities to Predict the Corrosion Wastage of Boiler Tubes in Advanced Combustion Systems  

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

Computation Capabilities Computation Capabilities to Predict the Corrosion Wastage of Boiler Tubes in Advanced Combustion Systems Background Staged combustion is a method of reducing nitrogen oxide (NO x ) emissions in boilers by controlling the combustion mixture of air and fuel. Its process conditions are particularly corrosive to lower furnace walls. Superheaters and/or reheaters are often employed in the upper furnace to reuse hot combustion gasses to further raise the

174

Scientific Software  

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

Science & Education: Science & Education: Science Highlights Conferences Seminars & Meetings Publications Annual Reports APS Upgrade Courses and Schools Graduate Programs Scientific Software Subscribe to APS Recent Publications rss feed Scientific Software Scientists and researchers at the APS develop custom scientific software to help with acquisition and analysis of beamline data. Several packages are available for a variety of platforms and uses. General Diffraction Powder Diffraction Crystallography Synchrotron Radiation / Optical Elements Time-Resolved EXAFS Visualization / Data Processing Detector Controls General Diffraction fprime FPRIME/Absorb This provides utilities for computing approximate x-ray scattering cross sections (f, f' and f") for individual elements using the Cromer & Liberman

175

From detonation to diapers: Los Alamos computer codes at core of advanced  

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

From detonation to diapers From detonation to diapers Los Alamos computer codes at core of advanced manufacturing tools The computer codes used for predictive fluid modeling are part of the Los Alamos Computational Fluid Dynamics Library. July 27, 2011 This simulation of a droplet of liquid falling into a pool of liquid was modeled using Los Alamos National Laboratory's Computational Fluid Dynamics Library This simulation of a droplet of liquid falling into a pool of liquid was modeled using Los Alamos National Laboratory's Computational Fluid Dynamics Library (CFDLib), which was also used by Procter and Gamble to simulate a manufacturing process. The computer code is now available to help American industries become more competitive. Contact James Rickman Communicatons Office (505) 665-9203

176

CS 570: Advanced Computer Architecture To learn the science and art of selecting and interconnecting hardware components to create a computer that  

E-Print Network [OSTI]

CS 570: Advanced Computer Architecture Objectives To learn the science and art of selecting. Course Materials Text John L. Hennessy, David A. Patterson. Computer Architecture: A Quantitative-13-185644-8. Online Resources Computer Architecture Web site. Syllabus Introduction Computer platforms and models

Heller, Barbara

177

Resilient Workflows for Cooperative Design Application of Distributed High-Performance Scientific Computing  

E-Print Network [OSTI]

Resilient Workflows for Cooperative Design Application of Distributed High-Performance Scientific-Antoine.Desideri@sophia.inria.fr Abstract--This paper describes an approach to extend process modeling for engineering design applications the traditional fault-tolerance management features provided by the existing hardware and distributed systems

Paris-Sud XI, Université de

178

DOE Announces $60 Million in Projects to Accelerate Scientific Discovery  

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

0 Million in Projects to Accelerate Scientific 0 Million in Projects to Accelerate Scientific Discovery through Advanced Computing DOE Announces $60 Million in Projects to Accelerate Scientific Discovery through Advanced Computing September 7, 2006 - 8:53am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science today announced approximately $60 million in new awards annually for 30 computational science projects over the next three to five years. The projects are aimed at accelerating research in designing new materials, developing future energy sources, studying global climate change, improving environmental cleanup methods and understanding physics from the tiniest particles to the massive explosions of supernovae. "Advanced computing is a critical element of President Bush's American

179

Advancing the State of the Art in Distributed Computing Silicon Valley  

E-Print Network [OSTI]

Advancing the State of the Art in Distributed Computing Silicon Valley #12;"From the very beginning of covering a broad spectrum of topics. At Microsoft Research Silicon Valley, the focus is on distributed, they emphasize utility rather than innovation. Microsoft's long-term business success depends on new technology

Rajamani, Sriram K.

180

APRIL 1998 THE LEADING EDGE 461 ncreases in computing power and advances in mathe-  

E-Print Network [OSTI]

optimization theory have combined to produce a new generation of algorithms that can invert geophysical dataAPRIL 1998 THE LEADING EDGE 461 ncreases in computing power and advances in mathe- matical. In this short article, we illustrate both the practicability of inverting geophysical data and the impor- tant

Oldenburg, Douglas W.

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

THE CENTER FOR INTEGRATIVE BIOMEDICAL COMPUTING: ADVANCING BIOMEDICAL SCIENCE WITH OPEN SOURCE  

E-Print Network [OSTI]

THE CENTER FOR INTEGRATIVE BIOMEDICAL COMPUTING: ADVANCING BIOMEDICAL SCIENCE WITH OPEN SOURCE the new Center for Integrative Biomedical Com- puting (CIBC) whose mission is to produce high performance im- age analysis, simulation, and visualization software in support of biomedical research. Software

Utah, University of

182

Scienti#12;c Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report  

SciTech Connect (OSTI)

The Applying Computationally Efficient Schemes for BioGeochemical Cycles ACES4BGC Project is advancing the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty, aerosols and biospheric feedbacks, with a highly e#14;cient computational approach. In particular, this project is implementing and optimizing new computationally e#14;cient tracer advection algorithms for large numbers of tracer species; adding important biogeochemical interactions between the atmosphere, land, and ocean models; and applying uncertainty quanti#12;cation (UQ) techniques to constrain process parameters and evaluate uncertainties in feedbacks between biogeochemical cycles and the climate system.

Forest M. Hoffman; Pavel B. Bochev; Philip J. Cameron-Smith; Richard C. Easter, Jr.; Scott M. Elliott; Steven J. Ghan; Xiaohong Liu; Robert B. Lowrie; Donald D. Lucas; Po-lun Ma, William J Sacks; Manish Shrivastava; Balwinder Singh; Timothy J. Tautges; Mark A. Taylor; Mariana Vertenstein; Patrick H. Worley; and; Kai Zhang

2014-01-15T23:59:59.000Z

183

Supercomputing | Computer Science | ORNL  

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

Resilience Engineering of Scientific Software Translation Quantum Computing Machine Learning Information Retrieval Content Tagging Visual Analytics Data Earth Sciences Energy Science Future Technology Knowledge Discovery Materials Mathematics National Security Systems Modeling Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Computer Science SHARE Computer Science Computer Science at ORNL involves extreme scale scientific simulations through research and engineering efforts advancing the state of the art in algorithms, programming environments, tools, and system software. ORNL's work is strongly motivated by, and often carried out in direct

184

High Performance Computing Modeling Advances Accelerator Science for High Energy Physics  

SciTech Connect (OSTI)

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

Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

2014-04-29T23:59:59.000Z

185

The application of cloud computing to scientific workflows: a study of cost and performance  

Science Journals Connector (OSTI)

...and systems engineers to exploit...in the cloud environment Astronomers...administration are the responsibility of the end...the compute environment. Briefly...takes on the responsibility of managing...on different environments, along with...end user's responsibility. Both Canon...

2013-01-01T23:59:59.000Z

186

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

SciTech Connect (OSTI)

The design and performance optimization of particle accelerators are essential for the success of the DOE scientific program in the next decade. Particle accelerators are very complex systems whose accurate description involves a large number of degrees of freedom and requires the inclusion of many physics processes. Building on the success of the SciDAC-1 Accelerator Science and Technology project, the SciDAC-2 Community Petascale Project for Accelerator Science and Simulation (ComPASS) is developing a comprehensive set of interoperable components for beam dynamics, electromagnetics, electron cooling, and laser/plasma acceleration modelling. ComPASS is providing accelerator scientists the tools required to enable the necessary accelerator simulation paradigm shift from high-fidelity single physics process modeling (covered under SciDAC1) to high-fidelity multiphysics modeling. Our computational frameworks have been used to model the behavior of a large number of accelerators and accelerator R&D experiments, assisting both their design and performance optimization. As parallel computational applications, the ComPASS codes have been shown to make effective use of thousands of processors. ComPASS is in the first year of executing its plan to develop the next-generation HPC accelerator modeling tools. ComPASS aims to develop an integrated simulation environment that will utilize existing and new accelerator physics modules with petascale capabilities, by employing modern computing and solver technologies. The ComPASS vision is to deliver to accelerator scientists a virtual accelerator and virtual prototyping modeling environment, with the necessary multiphysics, multiscale capabilities. The plan for this development includes delivering accelerator modeling applications appropriate for each stage of the ComPASS software evolution. Such applications are already being used to address challenging problems in accelerator design and optimization. The ComPASS organization for software development and applications accounts for the natural domain areas (beam dynamics, electromagnetics, and advanced acceleration), and all areas depend on the enabling technologies activities, such as solvers and component technology, to deliver the desired performance and integrated simulation environment. The ComPASS applications focus on computationally challenging problems important for design or performance optimization to all major HEP, NP, and BES accelerator facilities. With the cost and complexity of particle accelerators rising, the use of computation to optimize their designs and find improved operating regimes becomes essential, potentially leading to significant cost savings with modest investment.

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

2011-11-14T23:59:59.000Z

187

Scientific Capabilities | EMSL  

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

and Microfabrication Mass Spectrometry Microscopy Molecular Science Computing NMR and EPR Spectroscopy and Diffraction Subsurface Flow and Transport Scientific Capabilities We...

188

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

Office of Science (SC) Website

About the ASCR Computer Science Program 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) Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information »

189

Providing the Scientific Foundations for Environmental Management  

E-Print Network [OSTI]

Providing the Scientific Foundations for Environmental Management #12;Advancements in scientific Formulation. Collaboration between PNNL, Idaho National Laboratory, Savannah River National Laboratory persistent waste sources. An approach that systematically links scientific knowledge and capabilities from EM

190

The International Symposium on Numeric and Symbolic Algorithms for Scientific Computing, SYNASC, is an annual event in Timioara, Romania. It has been organized by the West  

E-Print Network [OSTI]

years, an international forum for presenting their research, as well as by facilitating contacts between of the symposium were the plenary talks given by a distinguished set of international researchers: James DavenportPreface The International Symposium on Numeric and Symbolic Algorithms for Scientific Computing

Watt, Stephen M.

191

Introduction to Scientific Computing  

E-Print Network [OSTI]

quotes >>> s = "hello world" >>> print s hello world # single quotes also work >>> s = `hello world' >>> print s hello world >>> s = "12345" >>> len(s) 5 CREATING STRINGS # concatenating two strings >>> "hello " + "world" `hello world' # repeating a string >>> "hello " * 3 `hello hello hello ' STRING OPERATIONS STRING

Haule, Kristjan

192

Advanced Computational Tools for Optimization and Uncertainty Quantification of Carbon Capture Processes  

Science Journals Connector (OSTI)

Abstract Advanced multi-scale modeling and simulation has the potential to dramatically reduce development time, resulting in considerable cost savings. The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and universities that is developing, demonstrating, and deploying a suite of multi-scale modeling and simulation tools. One significant computational tool is FOQUS, a Framework for Optimization and Quantification of Uncertainty and Sensitivity, which enables basic data submodels, including thermodynamics and kinetics, to be used within detailed process models to rapidly synthesize and optimize a process and determine the level of uncertainty associated with the resulting process. The overall approach of CCSI is described with a more detailed discussion of FOQUS and its application to carbon capture systems.

David C. Miller; Brenda Ng; John Eslick; Charles Tong; Yang Chen

2014-01-01T23:59:59.000Z

193

Advanced computational tools for optimization and uncertainty quantification of carbon capture processes  

SciTech Connect (OSTI)

Advanced multi-scale modeling and simulation has the potential to dramatically reduce development time, resulting in considerable cost savings. The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and universities that is developing, demonstrating, and deploying a suite of multi-scale modeling and simulation tools. One significant computational tool is FOQUS, a Framework for Optimization and Quantification of Uncertainty and Sensitivity, which enables basic data submodels, including thermodynamics and kinetics, to be used within detailed process models to rapidly synthesize and optimize a process and determine the level of uncertainty associated with the resulting process. The overall approach of CCSI is described with a more detailed discussion of FOQUS and its application to carbon capture systems.

Miller, David C. [U.S. DOE; Ng, Brenda [Lawrence Livermore National Laboratory; Eslick, John [Carnegie Mellon University

2014-01-01T23:59:59.000Z

194

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

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

Seeks Proposals for Expanded Large-Scale Seeks Proposals for Expanded Large-Scale Scientific Computing DOE's Office of Science Seeks Proposals for Expanded Large-Scale Scientific Computing May 16, 2005 - 12:47pm Addthis WASHINGTON, D.C. -- Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science is seeking proposals to support innovative, large-scale computational science projects to enable high-impact advances through the use of advanced computers not commonly available in academia or the private sector. Projects currently funded are helping to reduce engine pollution and to improve our understanding of the stars and solar systems and human genetics. Successful proposers will be given the use of substantial computer time and data storage at the department's scientific

195

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

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

DOE's Office of Science Seeks Proposals for Expanded Large-Scale DOE's Office of Science Seeks Proposals for Expanded Large-Scale Scientific Computing DOE's Office of Science Seeks Proposals for Expanded Large-Scale Scientific Computing May 16, 2005 - 12:47pm Addthis WASHINGTON, D.C. -- Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science is seeking proposals to support innovative, large-scale computational science projects to enable high-impact advances through the use of advanced computers not commonly available in academia or the private sector. Projects currently funded are helping to reduce engine pollution and to improve our understanding of the stars and solar systems and human genetics. Successful proposers will be given the use of substantial computer time and data storage at the department's scientific

196

Advanced Simulation Capability for  

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

Simulation Capability for Simulation Capability for Environmental Management (ASCEM) ASCEM is being developed to provide a tool and approach to facilitate robust and standardized development of perfor- mance and risk assessments for cleanup and closure activi- ties throughout the EM complex. The ASCEM team is composed of scientists from eight National Laboratories. This team is leveraging Department of Energy (DOE) investments in basic science and applied research including high performance computing codes developed through the Advanced Scientific Computing Research and Advanced Simulation & Computing pro- grams as well as collaborating with the Offices of Science, Fossil Energy, and Nuclear Energy. Challenge Current groundwater and soil remediation challenges that will continue to be addressed in the next decade include

197

"Collaboration in Scientific Research: Ethical, Philosophical, and Other Perspectives on Scientific Practice" An innovative advanced research course for PhD students from a range of disciplines: Autumn 2012  

E-Print Network [OSTI]

"Collaboration in Scientific Research: Ethical, Philosophical, and Other Perspectives on Scientific of science from local universities. Cross- disciplinary collaboration is the central theme that motivates and for forming collaborations in the joint research portion of the course. The course is taught by faculty from

Heller, Barbara

198

E-Print Network 3.0 - advanced computational testing Sample Search...  

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

Engineering ; Computer Technologies and Information Sciences 6 Prof. Michael Melliar-Smith COMPUTER ENGINEERING GROUP Summary: , Design Automation & Test Computer Networks...

199

EMSL - Molecular Science Computing  

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

computing Resources and Techniques Molecular Science Computing - Sophisticated and integrated computational capabilities, including scientific consultants, software, Cascade...

200

Scientific ethics  

Science Journals Connector (OSTI)

Scientific ethics ... Students are asked to write about an issue of scientific ethics in lieu of one laboratory experiment. ... This exercise uses two recent incidents of research misconduct to introduce students to the issue of ethics in scientific publication. ...

Marcia L. Gillette

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

UNEDF: Advanced Scienti?c Computing Collaboration Transforms the Low-Energy Nuclear Many-Body Problem  

SciTech Connect (OSTI)

With diverse scienti?c backgrounds, the UNEDF SciDAC collaboration of nuclear theorists, applied mathematicians, and computer scientists is developing a comprehensive description of nuclei and their reactions that delivers maximum predictive power with quanti?ed uncertainties. This paper describes the UNEDF collaboration and identi?es attributes that classify UNEDF as a successful computational collaboration. We illustrate signi?cant milestones accomplished by UNEDF through integrative solutions using the most reliable theoretical approaches, the most advanced algorithms, and leadership class computational resources.

Nam, Hai A.; Stoitsov, M.; Nazarewicz, Witold; Bulgac, Aurel; Hagen, Gaute; Kortelainene, Markus; Maris, P.; Pei, Junchen; Roche, Kenneth J.; Schunck, Nicolas; Thompson, Ian; Vary, James; Wild, Stefan

2012-11-03T23:59:59.000Z

202

Laser Direct Drive: Scientific Advances,  

E-Print Network [OSTI]

· Simpler targets & physics · Predict Fusion Class Gains (> 140) at lower laser energy (500 kJ - 1 MJ) #12;7 KrF lasers have advantages for fusion energy PHYSICS Deeper UV (248 nm vs 351 for glass): -- Greater · chamber #12;9 Gain for Fusion Energy New Direct Drive Designs: Power plant class gains, much smaller laser

203

The Cloud and Autonomic Computing Center concentrates on topics in advanced distributed computing as part of the National Science Foundation  

E-Print Network [OSTI]

standards, software and methods. · Expertise in a wide spectrum of high performance computing, grid-research partnerships. The High Performance Computing Center at TTU, http://www.hpcc.ttu.edu, supports the CAC services. · Provides experience in creating and managing high performance computing and Grid frameworks

Rock, Chris

204

Evolutionary Inspired Solutions for Energy Management in Green Computing: State-of-the-Arts  

Science Journals Connector (OSTI)

The quest for more powerful computational resources has enabled significant scientific discoveries and also has immensely improved peoples daily life. However, such advancement has significantly strained the ele...

Joanna Ko?odziej

2012-01-01T23:59:59.000Z

205

Grand Challenges of Advanced Computing for Energy Innovation Report from the Workshop Held July 31-August 2, 2012  

SciTech Connect (OSTI)

On July 31-August 2 of 2012, the U.S. Department of Energy (DOE) held a workshop entitled Grand Challenges of Advanced Computing for Energy Innovation. This workshop built on three earlier workshops that clearly identified the potential for the Department and its national laboratories to enable energy innovation. The specific goal of the workshop was to identify the key challenges that the nation must overcome to apply the full benefit of taxpayer-funded advanced computing technologies to U.S. energy innovation in the ways that the country produces, moves, stores, and uses energy. Perhaps more importantly, the workshop also developed a set of recommendations to help the Department overcome those challenges. These recommendations provide an action plan for what the Department can do in the coming years to improve the nations energy future.

Larzelere, Alex R.; Ashby, Steven F.; Christensen, Dana C.; Crawford, Dona L.; Khaleel, Mohammad A.; John, Grosh; Stults, B. Ray; Lee, Steven L.; Hammond, Steven W.; Grover, Benjamin T.; Neely, Rob; Dudney, Lee Ann; Goldstein, Noah C.; Wells, Jack; Peltz, Jim

2013-03-06T23:59:59.000Z

206

Biomedical Computing and Visualization Chris R. Johnson and David M. Weinstein  

E-Print Network [OSTI]

Biomedical Computing and Visualization Chris R. Johnson and David M. Weinstein Scientific Computing, advanced techniques in biomedical computing, imaging, and visualization are changing the face of biology and medicine in both research and clinical practice. The goals of biomedical computing, imaging

Utah, University of

207

Advanced Fuel Cycle Program  

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

Working with INL Community Outreach Visitor Information Calendar of Events ATR National Scientific User Facility Center for Advanced Energy Studies Light Water Reactor...

208

EMSL: Capabilities: Molecular Science Computing  

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

Partners and Related Links Partners and Related Links These are the organizations with which EMSL maintains closest relationships in high performance computing and software development. Partners Note: The links below leave this site Argonne National Laboratory (ANL) National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL) Daresbury Laboratory San Diego Supercomputer Center (SDSC) at UCSD Maui High Performance Computing Center (MHPCC) Intel Corporation Silicon Graphics, Inc. Hewlett-Packard Company (HP) Quadrics Ltd. Organizations SP-XXL SCICOMP Cray User Group (CUG) SC Conference Series - International Conference of High Performing Computing and Communications High Performance Computing Links Advanced Simulation and Computing at Lawrence Livermore National

209

The Science and Human Rights Coalition of the AAAS (American Association for the Advancement of Science): The interface between the human rights and scientific communities.  

Science Journals Connector (OSTI)

In July 2005 AAAS held a 2?day conference of scientific associations and human rights organizations to explore ways in which the scientific community could become more directly engaged in human rights. Born of a conference recommendation the AAAS Science and Human Rights Coalition was officially launched in January 2009. Forty?two scientific membership organizations have since joined the Coalition which aims to build bridges and opportunities for collaboration within the scientific community and between the scientific and the human rights communities. Introducing the Coalition Ms. Wyndham will answer four questions: What does the Coalition aim to accomplish? How will it do this? Who can join? How does it operate? One year young the growing number of Coalition members reflects the commitment of scientific organizations to addressing human rights. This however is just the beginning. Building on the achievements to?date and lessons learnt throughout the course of the first year Ms. Wyndham will outline the Coalitions plans for making a real and meaningful contribution to the realization of human rights.

2010-01-01T23:59:59.000Z

210

Driving Advances in Computing Education through Application of Educational Psychology Principles  

E-Print Network [OSTI]

Psychology Principles GVU Research Grant Proposal By Richard Catrambone (School of Psychology) and Mark Guzdial (School of Interactive Computing) Problems Addressed. The proposed seed grant is focused on creating examples of computer science instruction

Guzdial, Mark

211

5-1 Chapter 5--Processor Design--Advanced Topics Computer Systems Design and Architecture by V. Heuring and H. Jordan 1997 V. Heuring and H. Jordan  

E-Print Network [OSTI]

by V. Heuring and H. Jordan © 1997 V. Heuring and H. Jordan Chapter 5: Processor Design-- Advanced. Heuring and H. Jordan © 1997 V. Heuring and H. Jordan Microprogramming: Basic Idea Control unit job--Advanced Topics Computer Systems Design and Architecture by V. Heuring and H. Jordan © 1997 V. Heuring and H

212

PNNL: Computational Sciences & Mathematics - Fundamental & Computational  

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

News News Contacts mathematical sciences, Computational Sciences & Mathematics We focus on merging high performance computing with data-centric analysis capabilities to solve significant problems in energy, the environment, and national security. PNNL has made scientific breakthroughs and advanced frontiers in high performance computer science, computational biology and bioinformatics, subsurface simulation modeling, and multiscale mathematics. Stream flowing through rocks with binary data on top Testing a Land Model's Water Cycle Simulation Skills Scientists at Pacific Northwest National Laboratory and Oak Ridge National Laboratory, exploring new research territory in a popular Earth system model, applied a computational technique to systematically evaluate the

213

E-Print Network 3.0 - advanced computational thermal Sample Search...  

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

Thermal Management," Proc. Int'l Symp. High-Performance Computer... ... Source: Chung, Eui-Young - School of Electrical and Electronics Engineering, Yonsei University; Hu, Jie -...

214

Large-scale lattice Boltzmann simulations of complex fluids: advances through the advent of computational Grids  

Science Journals Connector (OSTI)

...into a computational Grid, which in turn permits...Coveney 2003) which use hybrid algorithms have shown...tractable toolkits for the Grid: a plea for lightweight...C KesselmanIn The Grid: blueprint for a new computing infrastructure 1999San Francisco...

2005-01-01T23:59:59.000Z

215

Mobile and Stationary Computer Vision based Traffic Surveillance Techniques for Advanced ITS Applications  

E-Print Network [OSTI]

between the loop data and mobile data. Bibliography [1] M.nd Workwhop on Perception of Mobile Agents, CVPR99, pp. 82-OF CALIFORNIA RIVERSIDE Mobile and Stationary Computer

Cao, Meng

2009-01-01T23:59:59.000Z

216

Principles of energy efficiency in high performance computing  

Science Journals Connector (OSTI)

High Performance Computing (HPC) is a key technology for modern researchers enabling scientific advances through simulation where experiments are either technically impossible or financially not feasible to conduct and theory is not applicable. However, ... Keywords: HPC, PUE, energy efficiency, high performance computing, power usage effectiveness

Axel Auweter; Arndt Bode; Matthias Brehm; Herbert Huber; Dieter Kranzlmller

2011-08-01T23:59:59.000Z

217

Scientific Visualization, Seeing the Unseeable  

ScienceCinema (OSTI)

June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in bo... June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in both experimental and computational sciences. Wes Bethel, who heads the Scientific Visualization Group in the Computational Research Division, presents an overview of visualization and computer graphics, current research challenges, and future directions for the field.

LBNL

2009-09-01T23:59:59.000Z

218

Advanced computational simulation for design and manufacturing of lightweight material components for automotive applications  

SciTech Connect (OSTI)

Computational vehicle models for the analysis of lightweight material performance in automobiles have been developed through collaboration between Oak Ridge National Laboratory, the National Highway Transportation Safety Administration, and George Washington University. The vehicle models have been verified against experimental data obtained from vehicle collisions. The crashed vehicles were analyzed, and the main impact energy dissipation mechanisms were identified and characterized. Important structural parts were extracted and digitized and directly compared with simulation results. High-performance computing played a key role in the model development because it allowed for rapid computational simulations and model modifications. The deformation of the computational model shows a very good agreement with the experiments. This report documents the modifications made to the computational model and relates them to the observations and findings on the test vehicle. Procedural guidelines are also provided that the authors believe need to be followed to create realistic models of passenger vehicles that could be used to evaluate the performance of lightweight materials in automotive structural components.

Simunovic, S.; Aramayo, G.A.; Zacharia, T. [Oak Ridge National Lab., TN (United States); Toridis, T.G. [George Washington Univ., Washington, DC (United States); Bandak, F.; Ragland, C.L. [Dept. of Transportation, Washington, DC (United States)

1997-04-01T23:59:59.000Z

219

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

SciTech Connect (OSTI)

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

Gerber, Richard

2014-05-02T23:59:59.000Z

220

Computed phase equilibria for burnable neutron absorbing materials for advanced pressurized heavy water reactors  

Science Journals Connector (OSTI)

Burnable neutron absorbing materials are expected to be an integral part of the new fuel design for the Advanced CANDU[CANDU is as a registered trademark of Atomic Energy of Canada Limited.] Reactor. The neutron absorbing material is composed of gadolinia and dysprosia dissolved in an inert cubic-fluorite yttria-stabilized zirconia matrix. A thermodynamic model based on Gibbs energy minimization has been created to provide estimated phase equilibria as a function of composition and temperature. This work includes some supporting experimental studies involving X-ray diffraction.

E.C. Corcoran; B.J. Lewis; W.T. Thompson; J. Hood; F. Akbari; Z. He; P. Reid

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

AMPS, a real-time mesoscale modeling system, has provided a decade of service for scientific and logistical needs and has helped advance polar numerical weather prediction  

E-Print Network [OSTI]

and logistical needs and has helped advance polar numerical weather prediction as well as understanding support for the USAP. The concern at the time was the numerical weather prediction (NWP) guidance-time implementation of the Weather Research and Forecasting model (WRF; Skamarock et al. 2008) to support the U

Howat, Ian M.

222

J. Comput. Theor. Nanosci. Vol. 1, No. 1 2004 2004 by American Scientific Publishers 1546-198X/2004/01/0029/011/$17.00+.25 doi:10.1166/jctn.2004.004 29 *Author to whom correspondence should be addressed.  

E-Print Network [OSTI]

J. Comput. Theor. Nanosci. Vol. 1, No. 1 2004 © 2004 by American Scientific Publishers 1546-198X be addressed. RESEARCHARTICLE JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE Vol. 1. 29­40, 2004

Ghoniem, Nasr M.

223

Application of the computational aeroacoustics method to an advanced counterrotating propfan configuration  

E-Print Network [OSTI]

. In order to satisfy the requirements of regulatory commisions such as the Federal Aviation Agency(FAA), the flow field generated by the propeller must be analyzed in acoustic terms as well as overall propulsion performance and efficiency. There are three...-history, specific information about the frequency spectrum of the acoustic signal can be readily found. Results using this method have been shown to compare well with experimental data in terms of OASPL. The computational problem and application to the acoustic...

Kim, Jinhan

2012-06-07T23:59:59.000Z

224

An Advanced Computational Scheme for the Optimization of 2D Radial Reflectors in Pressurized Water Reactors  

E-Print Network [OSTI]

This paper presents a computational scheme for the determination of equivalent 2D multi-group heterogeneous reflectors in a Pressurized Water Reactor (PWR). The proposed strategy is to define a full-core calculation consistent with a reference lattice code calculation such as the Method Of Characteristics (MOC) as implemented in APOLLO2 lattice code. The computational scheme presented here relies on the data assimilation module known as "Assimilation de donn\\'{e}es et Aide \\`{a} l'Optimisation (ADAO)" of the SALOME platform developed at \\'{E}lectricit\\'{e} De France (EDF), coupled with the full-core code COCAGNE and with the lattice code APOLLO2. A first validation of the computational scheme is made using the OPTEX reflector model developed at \\'{E}cole Polytechnique de Montr\\'{e}al (EPM). As a result, we obtain 2D multi-group, spatially heterogeneous 2D reflectors, using both diffusion or $\\text{SP}_{\\text{N}}$ operators. We observe important improvements of the power discrepancies distribution over the cor...

Clerc, Thomas; Leroyer, Hadrien; Argaud, Jean-Philippe; Bouriquet, Bertrand; Ponot, Aglique

2014-01-01T23:59:59.000Z

225

Development of Computational Capabilities to Predict the Corrosion Wastage of Boiler Tubes in Advanced Combustion Systems  

SciTech Connect (OSTI)

A comprehensive corrosion research project consisting of pilot-scale combustion testing and long-term laboratory corrosion study has been successfully performed. A pilot-scale combustion facility available at Brigham Young University was selected and modified to enable burning of pulverized coals under the operating conditions typical for advanced coal-fired utility boilers. Eight United States (U.S.) coals were selected for this investigation, with the test conditions for all coals set to have the same heat input to the combustor. In addition, the air/fuel stoichiometric ratio was controlled so that staged combustion was established, with the stoichiometric ratio maintained at 0.85 in the burner zone and 1.15 in the burnout zone. The burner zone represented the lower furnace of utility boilers, while the burnout zone mimicked the upper furnace areas adjacent to the superheaters and reheaters. From this staged combustion, approximately 3% excess oxygen was attained in the combustion gas at the furnace outlet. During each of the pilot-scale combustion tests, extensive online measurements of the flue gas compositions were performed. In addition, deposit samples were collected at the same location for chemical analyses. Such extensive gas and deposit analyses enabled detailed characterization of the actual combustion environments existing at the lower furnace walls under reducing conditions and those adjacent to the superheaters and reheaters under oxidizing conditions in advanced U.S. coal-fired utility boilers. The gas and deposit compositions were then carefully simulated in a series of 1000-hour laboratory corrosion tests, in which the corrosion performances of different commercial candidate alloys and weld overlays were evaluated at various temperatures for advanced boiler systems. Results of this laboratory study led to significant improvement in understanding of the corrosion mechanisms operating on the furnace walls as well as superheaters and reheaters in coal-fired boilers resulting from the coexistence of sulfur and chlorine in the fuel. A new corrosion mechanism, i.e., Active Sulfidation Corrosion Mechanism, has been proposed to account for the accelerated corrosion wastage observed on the furnace walls of utility boilers burning coals containing sulfur and chlorine. In addition, a second corrosion mechanism, i.e., Active Sulfide-to-Oxide Corrosion Mechanism, has been identified to account for the rapid corrosion attack on superheaters and reheaters. Both of the newly discovered corrosion mechanisms involve the formation of iron chloride (FeCl2) vapor from iron sulfide (FeS) and HCl, followed by the decomposition of FeCl2 via self-sustaining cycling reactions. For higher alloys containing sufficient chromium, the attack on superheaters and reheaters is dominated by Hot Corrosion in the presence of a fused salt. Furthermore, two stages of the hot corrosion mechanism have been identified and characterized in detail. The initiation of hot corrosion attack induced by molten sulfate leads to Stage 1 acidic fluxing and re-precipitation of the protective scale formed initially on the deposit-covered alloy surfaces. Once the protective scale is penetrated, Stage 2 Hot Corrosion is initiated, which is dominated by basic fluxing and re-precipitation of the scale in the fused salt. Based on the extensive corrosion information generated from this project, corrosion modeling was performed using non-linear regression analysis. As a result of the modeling efforts, two predictive equations have been formulated, one for furnace walls and the other for superheaters and reheaters. These first-of-the-kind equations can be used to estimate the corrosion rates of boiler tubes based on coal chemistry, alloy compositions, and boiler operating conditions for advanced boiler systems.

Kung, Steven; Rapp, Robert

2014-08-31T23:59:59.000Z

226

TRAC-PF1: an advanced best-estimate computer program for pressurized water reactor analysis  

SciTech Connect (OSTI)

The Transient Reactor Analysis Code (TRAC) is being developed at the Los Alamos National Laboratory to provide advanced best-estimate predictions of postulated accidents in light water reactors. The TRAC-PF1 program provides this capability for pressurized water reactors and for many thermal-hydraulic experimental facilities. The code features either a one-dimensional or a three-dimensional treatment of the pressure vessel and its associated internals; a two-phase, two-fluid nonequilibrium hydrodynamics model with a noncondensable gas field; flow-regime-dependent constitutive equation treatment; optional reflood tracking capability for both bottom flood and falling-film quench fronts; and consistent treatment of entire accident sequences including the generation of consistent initial conditions. This report describes the thermal-hydraulic models and the numerical solution methods used in the code. Detailed programming and user information also are provided.

Liles, D.R.; Mahaffy, J.H.

1984-02-01T23:59:59.000Z

227

Scientific Impact  

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

radiocarbon measurements of corals, advancements in understanding the paleo-history of ocean currents and ocean processes revealing past climate variability, and the explanation...

228

Advanced Computational Thermal Fluid Physics (CTFP) and Its Assessment for Light Water Reactors and Supercritical Reactors  

SciTech Connect (OSTI)

Background: The ultimate goal of the study is the improvement of predictive methods for safety analyses and design of Generation IV reactor systems such as supercritical water reactors (SCWR) for higher efficiency, improved performance and operation, design simplification, enhanced safety and reduced waste and cost. The objective of this Korean / US / laboratory / university collaboration of coupled fundamental computational and experimental studies is to develop the supporting knowledge needed for improved predictive techniques for use in the technology development of Generation IV reactor concepts and their passive safety systems. The present study emphasizes SCWR concepts in the Generation IV program.

D.M. McEligot; K. G. Condie; G. E. McCreery; H. M. McIlroy; R. J. Pink; L.E. Hochreiter; J.D. Jackson; R.H. Pletcher; B.L. Smith; P. Vukoslavcevic; J.M. Wallace; J.Y. Yoo; J.S. Lee; S.T. Ro; S.O. Park

2005-10-01T23:59:59.000Z

229

NERSC seeks Computational Systems Group Lead  

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

seeks Computational Systems Group Lead seeks Computational Systems Group Lead NERSC seeks Computational Systems Group Lead January 6, 2011 by Katie Antypas Note: This position is now closed. The Computational Systems Group provides production support and advanced development for the supercomputer systems at NERSC. Manage the Computational Systems Group (CSG) which provides production support and advanced development for the supercomputer systems at NERSC (National Energy Research Scientific Computing Center). These systems, which include the second fastest supercomputer in the U.S., provide 24x7 computational services for open (unclassified) science to world-wide researchers supported by DOE's Office of Science. Duties/Responsibilities Manage the Computational Systems Group's staff of approximately 10

230

DAVID J. DANIEL Advanced Computing, MS B287, LANL, Los Alamos, NM 87545 505-667-0883 ddd@lanl.gov  

E-Print Network [OSTI]

Technologies team in the Advanced Computing Laboratory (CCS-1). A primary developer of the Los Alamos Message. Software Consultant / Member of Technical Staff, 1998-2001. Development of technology to promote the Alpha server, web cache and HPC markets. Designed and implemented intranet database and information systems

231

3-1 Computing and Networking Services  

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

CaNS Overview CaNS Overview Section 3-1-1 Computing and Networking Services The primary mission of Computing and Networking Services (CaNS) is to provide the infrastructure and computing services within the W.R. Wiley Environmental Molecular Sciences Laboratory (EMSL) for an advanced computing environment that enables staff, visitors, and collaborators to effectively use computer and network resources for their scientific and business requirements. In supporting growing business and research needs of EMSL in the area of information sciences, CaNS secures global information access to our facilities by providing online remote access to both computing resources and scientific equipment. A large portion of the efforts undertaken by CaNS staff members involves

232

Microsoft Word - The_Advanced_Networks_and_Services_Underpinning_Modern,Large-Scale_Science.SciDAC.v5.doc  

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

: Advanced Networking and Services : Advanced Networking and Services Supporting the Science Mission of DOE's Office of Science William E. Johnston ESnet Dept. Head and Senior Scientist Lawrence Berkeley National Laboratory May, 2007 1 Introduction In many ways, the dramatic achievements in scientific discovery through advanced computing and the discoveries of the increasingly large-scale instruments with their enormous data handling and remote collaboration requirements, have been made possible by accompanying accomplishments in high performance networking. As increasingly advanced supercomputers and experimental research facilities have provided researchers powerful tools with unprecedented capabilities, advancements in networks connecting scientists to these tools have made these research facilities available to broader communities

233

Secretary Bodman in Illinois Highlights Scientific Research Investment...  

Office of Environmental Management (EM)

at a technology firm in Illinois to highlight scientific research investments that have led to partnerships between DOE's National laboratories and private industry. At Advanced...

234

Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan : ASC software quality engineering practices Version 3.0.  

SciTech Connect (OSTI)

The purpose of the Sandia National Laboratories (SNL) Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. Quality is defined in the US Department of Energy/National Nuclear Security Agency (DOE/NNSA) Quality Criteria, Revision 10 (QC-1) as 'conformance to customer requirements and expectations'. This quality plan defines the SNL ASC Program software quality engineering (SQE) practices and provides a mapping of these practices to the SNL Corporate Process Requirement (CPR) 001.3.6; 'Corporate Software Engineering Excellence'. This plan also identifies ASC management's and the software project teams responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals. This SNL ASC Software Quality Plan establishes the signatories commitments to improving software products by applying cost-effective SQE practices. This plan enumerates the SQE practices that comprise the development of SNL ASC's software products and explains the project teams opportunities for tailoring and implementing the practices.

Turgeon, Jennifer L.; Minana, Molly A.; Hackney, Patricia; Pilch, Martin M.

2009-01-01T23:59:59.000Z

235

Innovation | OSTI, US Dept of Energy, Office of Scientific and Technical  

Office of Scientific and Technical Information (OSTI)

Innovation Innovation Research | Diffusion | Accelerator | Links Science progresses only if knowledge is shared. OSTI Corollary: Accelerating the sharing of scientific knowledge accelerates the advancement of science. Areas of active OSTI innovation include but are not limited to: Developing plug & play website applications using Web 2.0 capabilities Developing a language translation tool Making hundreds of databases searchable by a single query Incorporating file cabinet or personal workspace capability for users on OSTI search tools Developing web service that stratifies K-12 education sites by grade level Expanding digital access to legacy documents Increasing visibility of and access to scientific research data Developing grid-based and other distributed computer processing

236

Many advances in the understanding and design of nanomaterials have been enabled by spectroscopic  

E-Print Network [OSTI]

SEMTE abstract Many advances in the understanding and design of nanomaterials have been enabled of electrochemical cells, batteries, dye-sensitized solar cells, and water-splitting photosystems. In this talk, I and Storage Dr. Ismaila Dabo Department of Scientific Computing ?cole des Ponts, Université Paris ­ Est

Reisslein, Martin

237

PROCEEDINGS JOINT INTERNATIONAL SCIENTIFIC DIVING SYMPOSIUM  

E-Print Network [OSTI]

, and the advancement of standards for scientific diving practices, certifications, and operations. Divers Alert Network THE MESOPHOTIC ZONE: DIVING OPERATIONS AND SCIENTIFIC HIGHLIGHTS OF THREE RESEARCH CRUISES ACROSS PUERTO RICO diving techniques and logistical arrangements are required to conduct in situ surveys and sampling

Schizas, Nikolaos

238

Oak Ridge National Laboratory Joint Institute for Computing Science Building 5100  

High Performance Buildings Database

Oak Ridge, TN The University of Tennessee (UT) and Oak Ridge National Laboratory (ORNL) established the Joint Institute for Computational Sciences (JICS) to advance scientific discovery and state-of-the-art engineering and to further knowledge of computational modeling and simulation, taking full advantage of the computers operating at the tera scale and beyond at the National Center for Computational Sciences housed at ORNL.

239

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

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

2013 Exascale Operating and Runtime Systems 2013 Exascale Operating and Runtime Systems Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Closed Funding Opportunity Announcements (FOAs) Closed Lab Announcements Award Search 2013 Exascale Operating and Runtime Systems RX-Solvers FAQ Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information » Funding Opportunities 2013 Exascale Operating and Runtime Systems Print Text Size: A A A RSS Feeds FeedbackShare Page http://science.doe.gov/grants/pdf/LAB_13-02.pdf

240

Scientific Highlights  

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

contributions of the Tevatron contributions of the Tevatron experiments and accelerator complex Scientific Highlights Collider experiments The Tevatron's collider program began proton-antiproton collisions in 1985 and has led to about 1,000 Ph.D. degrees and about a paper a week through work on the CDF and DZero experiments. Discovered: * the top quark and determined its mass to a high precision * two distinct production mechanisms for the top quark: pair and single production * five B baryons (2 cascade, 1 omega and 2 sigma _b) * B c meson * Y(4140), a new quark structure * B s oscillations Observed: * strongest evidence yet for violation of matter-antimatter

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Molecular Science Computing | EMSL  

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

Scientific Capabilities Molecular Science Computing Overview Cell Isolation and Systems Analysis Deposition and Microfabrication Mass Spectrometry Microscopy Molecular Science...

242

Computing  

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

assetsimagesicon-science.jpg Computing Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of...

243

Nick Wright Named Advanced Technologies Group Lead  

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

Nick Wright Named Nick Wright Named Advanced Technologies Group Lead Nick Wright Named Advanced Technologies Group Lead February 4, 2013 Nick Nick Wright has been named head of the National Energy Research Scientific Computing Center's (NERSC) Advanced Technologies Group (ATG), which focuses on understanding the requirements of current and emerging applications to make choices in hardware design and programming models that best serve the science needs of NERSC users. ATG specializes in benchmarking, system performance, debugging and analysis, workload monitoring, use of application modeling tools, and future algorithm scaling and technology assessment. The team also engages with vendors and the general research community to advocate technological features that will enhance the effectiveness of systems for NERSC scientists.

244

E-Print Network 3.0 - accept scientific workshop Sample Search...  

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

Collection: Computer Technologies and Information Sciences 66 Accelerating the scientific exploration process with scientific Ilkay Altintas1 Summary: in the previous years, and...

245

Slide03 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

computing power and fast networks have only just begun to revolutionize scientific communication. Our vision and our intention is to accelerate the sharing of scientific knowledge...

246

Advanced Reactor Technologies | Department of Energy  

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

Advanced Reactor Advanced Reactor Technologies Advanced Reactor Technologies Advanced Reactor Technologies Advanced Reactor Technologies The Office of Advanced Reactor Technologies (ART) sponsors research, development and deployment (RD&D) activities through its Next Generation Nuclear Plant (NGNP), Advanced Reactor Concepts (ARC), and Advanced Small Modular Reactor (aSMR) programs to promote safety, technical, economical, and environmental advancements of innovative Generation IV nuclear energy technologies. The Office of Nuclear Energy (NE) will pursue these advancements through RD&D activities at the Department of Energy (DOE) national laboratories and U.S. universities, as well as through collaboration with industry and international partners. These activities will focus on advancing scientific

247

Energy Department Requests Proposals for Advanced Scientific...  

Energy Savers [EERE]

27, 2005 - 4:55pm Addthis WASHINGTON, DC - The Department of Energy's Office of Science and the National Nuclear Security Administration (NNSA) have issued a joint Request...

248

Data-intensive computing laying foundation for biological breakthroughs  

SciTech Connect (OSTI)

Finding a different way is the goal of the Data-Intensive Computing for Complex Biological Systems (Biopilot) projecta joint research effort between the Pacific Northwest National Laboratory (PNNL) and Oak Ridge National Laboratory funded by the U.S. Department of Energys Office of Advanced Scientific Computing Research. The two national laboratories, both of whom are world leaders in computing and computational sciences, are teaming to support areas of biological research in urgent need of data-intensive computing capabilities.

Hachigian, David J.

2007-06-18T23:59:59.000Z

249

The Magellan Final Report on Cloud Computing  

SciTech Connect (OSTI)

The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.

,; Coghlan, Susan; Yelick, Katherine

2011-12-21T23:59:59.000Z

250

Conferences and Workshops | Advanced Photon Source  

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

on the Role of Synchrotron Radiation in Solving Scientific Challenges in Advanced Nuclear Energy Systems Program (pdf) Report (pdf) Argonne National Laboratory,...

251

NERSC Oakland Scientific Facility  

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

Training 2012 Training 2012 February 1-2, 2012 NERSC Oakland Scientific Facility Debugging with DDT Woo-Sun Yang NERSC User Services Group Why a Debugger? * It makes it easy to find a bug in your program, by controlling pace of running your program - Examine execution flow of your code - Check values of variables * Typical usage scenario - Set breakpoints (places where you want your program to stop) and let your program run - Or advance one line in source code at a time - Check variables when a breakpoint is reached 2 DDT * Distributed Debugging Tool by Allinea * Graphical parallel debugger capable of debugging - Serial - OpenMP - MPI - CAF - UPC - CUDA - NERSC doesn't have a license on Dirac * Intuitive and simple user interfaces * Scalable * Available on Hopper, Franklin and Carver

252

Slide07 | OSTI, US Dept of Energy, Office of Scientific and Technical  

Office of Scientific and Technical Information (OSTI)

Slide07 Slide07 Slide07 * Fielded Search provides a very sophisticated search experience. * Reports fall into the disciplines of physics, chemistry, materials, biology, environmental sciences, energy technologies, engineering, computer and information science, renewable energy, and other topics of interest related to the DOE mission. The Information Bridge Advanced Search provides a variety of search fields for a very sophisticated search feature. Keep in mind that energy is not really a scientific discipline. Reports contained in the Information Bridge fall into the disciplines of physics, chemistry, materials, biology, environmental sciences, energy technologies, engineering, computer and information science, renewable energy, and other topics of interest related

253

Advancing Concentrating Solar Power Research (Fact Sheet)  

SciTech Connect (OSTI)

Researchers at the National Renewable Energy Laboratory (NREL) provide scientific, engineering, and analytical expertise to help advance innovation in concentrating solar power (CSP). This fact sheet summarizes how NREL is advancing CSP research.

Not Available

2014-02-01T23:59:59.000Z

254

Science Prospects And Benefits with Exascale Computing  

SciTech Connect (OSTI)

Scientific computation has come into its own as a mature technology in all fields of science. Never before have we been able to accurately anticipate, analyze, and plan for complex events that have not yet occurred from the operation of a reactor running at 100 million degrees centigrade to the changing climate a century down the road. Combined with the more traditional approaches of theory and experiment, scientific computation provides a profound tool for insight and solution as we look at complex systems containing billions of components. Nevertheless, it cannot yet do all we would like. Much of scientific computation s potential remains untapped in areas such as materials science, Earth science, energy assurance, fundamental science, biology and medicine, engineering design, and national security because the scientific challenges are far too enormous and complex for the computational resources at hand. Many of these challenges are of immediate global importance. These challenges can be overcome by a revolution in computing that promises real advancement at a greatly accelerated pace. Planned petascale systems (capable of a petaflop, or 1015 floating point operations per second) in the next 3 years and exascale systems (capable of an exaflop, or 1018 floating point operations per second) in the next decade will provide an unprecedented opportunity to attack these global challenges through modeling and simulation. Exascale computers, with a processing capability similar to that of the human brain, will enable the unraveling of longstanding scientific mysteries and present new opportunities. Table ES.1 summarizes these scientific opportunities, their key application areas, and the goals and associated benefits that would result from solutions afforded by exascale computing.

Kothe, Douglas B [ORNL

2007-12-01T23:59:59.000Z

255

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Forging New Ground Fostering a Knowledge of Science Forging New Ground Fostering a Knowledge of Science Slide01 Slide01 Dr. Walter Warnick, Director U.S. Department of Energy, Office of Scientific and Technical Information (OSTI) Web-Enabled Government Conference Washington, DC June 2, 2005 Slide02 Slide02 OSTI's Mission We are a component of the DOE Office of Science. Our mission is to advance science and sustain technological creativity by making R&D findings available and useful to DOE researchers and the American people. Slide03 Slide03 OSTI's Vision Our vision for the future rests on the premise that emerging computing power and fast networks have only just begun to revolutionize scientific communication. Our vision and our intention is to accelerate the sharing of scientific knowledge. Slide04 Slide04 Dispensing with the Fancy Words ...

256

Scientific Knowledge 1. What is the Problem?  

E-Print Network [OSTI]

Chapter 1 Scientific Knowledge 1. What is the Problem? Since the end of World War II, the influence knowledge, medicine and the military being prime examples. If one includes computer technology, one could scientific knowledge.1 In spite of the undeniable successes of post World War II science, there have always

Giere, Ronald N.

257

Computing Frontier: Distributed Computing  

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

Computing 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 simulations, and allowing for wide-spread participation of large groups of researchers. For a variety of reasons, these resources have become more distributed over a large geographic area, and some resources are highly specialized computing machines. In this report for the Snowmass Computing Frontier Study, we consider several questions about distributed computing

258

Scientific Partner Proposals | EMSL  

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

Partner Proposals One Scientific Partner's Experience Ron Heeren, with AMOLF in The Netherlands, collaborated with EMSL scientists through a Scientific Partner Proposal. As a...

259

Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan. Part 1: ASC software quality engineering practices, Version 2.0.  

SciTech Connect (OSTI)

The purpose of the Sandia National Laboratories Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. The plan defines the ASC program software quality practices and provides mappings of these practices to Sandia Corporate Requirements CPR 1.3.2 and 1.3.6 and to a Department of Energy document, ASCI Software Quality Engineering: Goals, Principles, and Guidelines. This document also identifies ASC management and software project teams responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals.

Sturtevant, Judith E.; Heaphy, Robert; Hodges, Ann Louise; Boucheron, Edward A.; Drake, Richard Roy; Minana, Molly A.; Hackney, Patricia; Forsythe, Christi A.; Schofield, Joseph Richard, Jr. (,; .); Pavlakos, Constantine James; Williamson, Charles Michael; Edwards, Harold Carter

2006-09-01T23:59:59.000Z

260

Computer  

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

trajectory, and estimate the accuracy of the reconstruction. First, a computer model is used to create images of the torus interior from any candidate camera...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

NERSC Annual Report 2004  

E-Print Network [OSTI]

Advanced Scientific Computing Advisory Committee The Advanced Scientific Compu- ting Advisory Committee (ASCAC)

Hules, John; Bashor, Jon; Yarris, Lynn; McCullough, Julie; Preuss, Paul; Bethel, Wes

2005-01-01T23:59:59.000Z

262

Types of Scientific and Technical Information (STI) | Scientific and  

Office of Scientific and Technical Information (OSTI)

Types of Scientific and Technical Information (STI) Types of Scientific and Technical Information (STI) Print page Print page Email page Email page STI is produced and published in various media and formats, including textual, graphical, numeric, multimedia, digital data, technical reports, scientific/technical conference papers and presentations, theses and dissertations, computer software, journal manuscripts and citations, workshop reports, program documents, patents, and other types of technical data. Additionally, program documents encompass needs assessments, progress reports (e.g. semi-annual and annual summaries), workshop reports, etc. Note: "Announce" as used in the context below refers to when the submitter only provides OSTI with an announcement notice (AN 241.1, AN 241.3, AN 241.4, AN 241.5 and AN 241.6) and not the STI product itself. "Submit"

263

Computing  

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

Computing 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 transport is caused by drift-wave instabilities, driven by free energy in plasma temperature and density gradients. * Unavoidable: These instabilities will persist in a reactor. * Various types (asymptotic theory): ITG, TIM, TEM, ETG . . . + Electromagnetic variants (AITG, etc). 3 Computing and Storage Requirements Fokker-Planck Theory of Plasma Transport Basic equation still

264

Computing Resources | Argonne Leadership Computing Facility  

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

is dedicated to large-scale computation and builds on Argonne's strengths in high-performance computing software, advanced hardware architectures and applications expertise. It...

265

The European Medicines Agency Review of Pazopanib for the Treatment of Advanced Renal Cell Carcinoma: Summary of the Scientific Assessment of the Committee for Medicinal Products for Human Use  

Science Journals Connector (OSTI)

...1-68.1 weeks) as per IRC review. The median time to response...submitted a risk management plan, which included a risk minimization plan. Identified safety concerns...patients. During the scientific review of pazopanib, the CHMP convened...

Maria Nieto; Jeanett Borregaard; Jens Ersbll; George J.A. ten Bosch; Barbara van Zwieten-Boot; Eric Abadie; Jan H.M. Schellens; and Francesco Pignatti

2011-11-01T23:59:59.000Z

266

Heart Failure: Scientific principles and clinical practice  

Science Journals Connector (OSTI)

... the scientific revolution. Such a paradigm shift began in 1628, when Harvey's description of the heart as a pump challenged the galenic view that the heart's chief function was to heat the blood. When, in 1715, Vieussens relied on Harvey's observations in describing how mitral stenosis caused blood... Thomas R. Kuhn, in The Structure of Scientific Revolutions (2nd ed. Chicago: University of Chicago Press, 1970), describes scientific progress as a series of revolutions, which he calls paradigm shifts. According to Kuhn, knowledge advances when an ...

Katz A.M.

1998-01-22T23:59:59.000Z

267

Opportunities for discovery: Theory and computation in Basic Energy Sciences  

SciTech Connect (OSTI)

New scientific frontiers, recent advances in theory, and rapid increases in computational capabilities have created compelling opportunities for theory and computation to advance the scientific mission of the Office of Basic Energy Sciences (BES). The prospects for success in the experimental programs of BES will be enhanced by pursuing these opportunities. This report makes the case for an expanded research program in theory and computation in BES. The Subcommittee on Theory and Computation of the Basic Energy Sciences Advisory Committee was charged with identifying current and emerging challenges and opportunities for theoretical research within the scientific mission of BES, paying particular attention to how computing will be employed to enable that research. A primary purpose of the Subcommittee was to identify those investments that are necessary to ensure that theoretical research will have maximum impact in the areas of importance to BES, and to assure that BES researchers will be able to exploit the entire spectrum of computational tools, including leadership class computing facilities. The Subcommittee s Findings and Recommendations are presented in Section VII of this report.

Harmon, Bruce; Kirby, Kate; McCurdy, C. William

2005-01-11T23:59:59.000Z

268

Scientific Data Movement  

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

Data Data Movement enabled by the DYNES ∗ Instrument Jason Zurawski Internet2 zurawski@internet2.edu Eric Boyd Internet2 eboyd@internet2.edu Tom Lehman ISI East tlehman@east.isi.edu Shawn McKee University of Michigan smckee@umich.edu Azher Mughal California Institute of Technology azher@hep.caltech.edu Harvey Newman California Institute of Technology newman@hep.caltech.edu Paul Sheldon Vanderbilt University paul.sheldon @vanderbilt.edu Steve Wolff Internet2 swolff@internet2.edu Xi Yang ISI East xyang@east.isi.edu ABSTRACT Scientific innovation continues to increase requirements for the computing and networking infrastructures of the world. Collaborative partners, instrumentation, storage, and processing facilities are often geographically and topo- logically separated, thus complicating the problem of end- to-end data management. Networking

269

3-1 Computer and Network Services (CaNS)  

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

CaNS User Resources CaNS User Resources Computer and Network Services (CaNS) The primary mission of the CaNS Group is to provide the infrastructure and computing services within the W.R. Wiley Environmental Sciences Laboratory (EMSL) for an advanced computing environment that enables staff, visitors, and collaborators to effectively use computer and network resources for their scientific research and business requirements. In supporting EMSL's growing business and research needs regarding information sciences, CaNS secures global information access to our facilities by providing online remote access to both computing resources and scientific equipment. A large portion of the CaNS Group's efforts involves providing customer support to EMSL researchers and offsite users. For

270

2014 Advanced Grid Modeling Peer Review Presentations - Day Two...  

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

with Advanced Computing - Yousu Chen, PNNL Advancing the Adoption of High Performance Computing for Time Domain Simulation - Liang Min, LLNL, Carol Woodward, LLNL An...

271

Scientific Research Data | OSTI, US Dept of Energy, Office of Scientific  

Office of Scientific and Technical Information (OSTI)

Scientific Research Data Scientific Research Data Scientific Research Data DOE generates scientific research data in many forms, both text and non-text. Much of the Department's text-based R&D results are readily available via OSTI databases. OSTI has broadened efforts to make non-text scientific and technical information (STI) available as well, providing access to underlying non-text data such as numeric files, computer simulations and interactive maps, as well as multimedia and scientific images. During 2011, OSTI implemented changes to its technology infrastructure to facilitate the announcement and registration of DOE-funded publicly available R&D research datasets through its membership in DataCite exit federal site . This web service builds on OSTI scientific research data discovery tools,

272

C. Engelmann -University of Reading and Oak Ridge National Laboratory High Availability for Ultra-scale Scientific High-End Computing 1/48  

E-Print Network [OSTI]

June, 2006 C. Engelmann - University of Reading and Oak Ridge National Laboratory High AvailabilityAH, UK 2 Computer Science and Mathematics Division Oak Ridge National Laboratory, Oak Ridge, TN, USA #12;June, 2006 C. Engelmann - University of Reading and Oak Ridge National Laboratory High

Engelmann, Christian

273

Foreword to the Handbook of Research on "Mobile Peer-to-Peer Computing for Next Generation Distributed Environments: Advancing  

E-Print Network [OSTI]

Foreword to the Handbook of Research on "Mobile Peer-to-Peer Computing for Next Generation, namely mobile P2P systems, are in their infancy. This does not mean that research on the subject has physically. Thus, serious security and privacy concerns arise. Additionally, many mobile P2P systems cannot

Wolfson, Ouri E.

274

Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.  

SciTech Connect (OSTI)

Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

2011-02-01T23:59:59.000Z

275

OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...  

Office of Scientific and Technical Information (OSTI)

Scientific Computing Research, ASCR, climate change, earth systems modeling, High-performance computing, HPC, In the OSTI Collections, Supercomputers Read more... The Remarkable...

276

FINAL REPORT DE-FG02-04ER41317 Advanced Computation and Chaotic Dynamics for Beams and Accelerators  

SciTech Connect (OSTI)

During the year ending in August 2013, we continued to investigate the potential of photonic crystal (PhC) materials for acceleration purposes. We worked to characterize acceleration ability of simple PhC accelerator structures, as well as to characterize PhC materials to determine whether current fabrication techniques can meet the needs of future accelerating structures. We have also continued to design and optimize PhC accelerator structures, with the ultimate goal of finding a new kind of accelerator structure that could offer significant advantages over current RF acceleration technology. This design and optimization of these requires high performance computation, and we continue to work on methods to make such computation faster and more efficient.

Cary, John R [U. Colorado

2014-09-08T23:59:59.000Z

277

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

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

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

278

Secretary Bodman in Illinois Highlights Scientific Research Investments to  

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

Illinois Highlights Scientific Research Illinois Highlights Scientific Research Investments to Advance America's Innovation Secretary Bodman in Illinois Highlights Scientific Research Investments to Advance America's Innovation April 11, 2007 - 12:36pm Addthis ROMEOVILLE, IL - U.S. Secretary of Energy Samuel Bodman today joined Rep. Judy Biggert (IL-13th) at a technology firm in Illinois to highlight scientific research investments that have led to partnerships between DOE's National laboratories and private industry. At Advanced Diamond Technologies, Inc., Secretary Bodman touted the key contributions of scientists and engineers across the country and the importance of sustaining innovation and entrepreneurship in advancing energy and economic security. "Moving technologies from the laboratory setting to commercial

279

Scientific Data Management (SDM) Center for Enabling Technologies  

SciTech Connect (OSTI)

Our contributions to advancing the state?of?the?art in scientific workflows have focused on the following areas: Workflow development; Generic workflow components and templates; Provenance collection and analysis; Workflow reliability and fault tolerance.

Lud?scher, Bertram [Professor

2013-09-06T23:59:59.000Z

280

Slide01 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

Accelerating the Diffusion of Knowledge to Advance Science and Technology United States Department of Energy Office of Scientific and Technical Information Karen J. Spence May...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Slide2 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

on the shoulders of giants." - Isaac Newton 1676 Premise: Science advances only if knowledge is shared Corollary: Accelerating the sharing of scientific knowledge accelerates...

282

Slide02 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

of DOE STI for long-term use and access Priority 2: * Ensure worldwide scientific knowledge and discoveries are accessible to DOE researchers, thus accelerating the advancement...

283

Description of interfaces of fluid-tethered chains: advances in density functional theories and off-lattice computer simulations  

E-Print Network [OSTI]

Many objects of nanoscopic dimensions involve fluid-tethered chain interfaces. These systems are of interest for basic science and for several applications, in particular for design of nanodevices for specific purposes. We review recent developments of theoretical methods in this area of research and in particular of density functional (DF) approaches, which provide important insights into microscopic properties of such interfaces. The theories permit to describe the dependence of adsorption, wettability, solvation forces and electric interfacial phenomena on thermodynamic states and on characteristics of tethered chains. Computer simulations for the problems in question are overviewed as well. Theoretical results are discussed in relation to simulation results and to some experimental observations.

S. Soko?owski; J. Ilnytskyi; O. Pizio

2014-03-06T23:59:59.000Z

284

Configurable Virtualized System Environments for High Performance Computing  

SciTech Connect (OSTI)

Existing challenges for current terascale high performance computing (HPC) systems are increasingly hampering the development and deployment efforts of system software and scientific applications for next-generation petascale systems. The expected rapid system upgrade interval toward petascale scientific computing demands an incremental strategy for the development and deployment of legacy and new large-scale scientific applications that avoids excessive porting. Furthermore, system software developers as well as scientific application developers require access to large-scale testbed environments in order to test individual solutions at scale. This paper proposes to address these issues at the system software level through the development of a virtualized system environment (VSE) for scientific computing. The proposed VSE approach enables ''plug-and-play'' supercomputing through desktop-to-cluster-to-petaflop computer system-level virtualization based on recent advances in hypervisor virtualization technologies. This paper describes the VSE system architecture in detail, discusses needed tools for VSE system management and configuration, and presents respective VSE use case scenarios.

Engelmann, Christian [ORNL; Scott, Stephen L [ORNL; Ong, Hong Hoe [ORNL; Vallee, Geoffroy R [ORNL; Naughton, III, Thomas J [ORNL

2007-01-01T23:59:59.000Z

285

Advanced Research  

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

Ductility EnhancEmEnt of molybDEnum Ductility EnhancEmEnt of molybDEnum PhasE by nano-sizED oxiDE DisPErsions Description Using computational modeling techniques, this research aims to develop predictive capabilities to facilitate the design and optimization of molybdenum (Mo), chromium (Cr), and other high-temperature structural materials to enable these materials to withstand the harsh environments of advanced power generation systems, such as gasification-based systems. These types of materials are essential to the development of highly efficient, clean energy technologies such as low-emission power systems that use coal or other fossil fuels.

286

Large Scale Computing and Storage Requirements for Nuclear Physics Research  

SciTech Connect (OSTI)

IThe National Energy Research Scientific Computing Center (NERSC) is the primary computing center for the DOE Office of Science, serving approximately 4,000 users and hosting some 550 projects that involve nearly 700 codes for a wide variety of scientific disciplines. In addition to large-scale computing resources NERSC provides critical staff support and expertise to help scientists make the most efficient use of these resources to advance the scientific mission of the Office of Science. In May 2011, NERSC, DOEs Office of Advanced Scientific Computing Research (ASCR) and DOEs Office of Nuclear Physics (NP) held a workshop to characterize HPC requirements for NP research over the next three to five years. The effort is part of NERSCs continuing involvement in anticipating future user needs and deploying necessary resources to meet these demands. The workshop revealed several key requirements, in addition to achieving its goal of characterizing NP computing. The key requirements include: 1. Larger allocations of computational resources at NERSC; 2. Visualization and analytics support; and 3. Support at NERSC for the unique needs of experimental nuclear physicists. This report expands upon these key points and adds others. The results are based upon representative samples, called case studies, of the needs of science teams within NP. The case studies were prepared by NP workshop participants and contain a summary of science goals, methods of solution, current and future computing requirements, and special software and support needs. Participants were also asked to describe their strategy for computing in the highly parallel, multi-core environment that is expected to dominate HPC architectures over the next few years. The report also includes a section with NERSC responses to the workshop findings. NERSC has many initiatives already underway that address key workshop findings and all of the action items are aligned with NERSC strategic plans.

Gerber, Richard A.; Wasserman, Harvey J.

2012-03-02T23:59:59.000Z

287

Advanced Materials Manufacturing and Innovative Technologies...  

Energy Savers [EERE]

Inform Integrity Management Plans. - Opportunities: * Leverage advances in high-performance computing and improved understanding of materials performance at condition. *...

288

DOE Awards 265 Million Hours of Supercomputing Time to Advance...  

Office of Environmental Management (EM)

Institute of Standards and Technology; the Max-Planck Institute for Quantum Optics in Germany; CERFACS, the European Center for Research and Advanced Training in Scientific...

289

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Slide10 Slide10 Slide11 Slide12 Slide13 Slide9 Forging New Ground Fostering a Knowledge of Science Slide01 Dr. Walter Warnick, Director U.S. Department of Energy, Office of Scientific and Technical Information (OSTI) Web-Enabled Government Conference Washington, DC June 2, 2005 Forging New Ground Fostering a Knowledge of Science Slide02 OSTI's Mission We are a component of the DOE Office of Science. Our mission is to advance science and sustain technological creativity by making R&D findings available and useful to DOE researchers and the American people. Forging New Ground Fostering a Knowledge of Science Slide03 OSTI's Vision Our vision for the future rests on the premise that emerging computing power and fast networks have only just begun to revolutionize scientific

290

Protein Puzzles and Scientific Solutions  

Office of Science (SC) Website

Articles » 2014 » Protein Articles » 2014 » Protein Puzzles and Scientific Solutions News Featured Articles 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Headlines Presentations & Testimony News Archives Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 01.06.14 Protein Puzzles and Scientific Solutions Researchers at SLAC National Accelerator Laboratory solve fiendishly complicated structures using X-ray savvy and serious computing power. Print Text Size: A A A Subscribe FeedbackShare Page Click to enlarge photo. Enlarge Photo The Coherent X-ray Imaging experimental station at SLAC's Linac Coherent Light Source. Photo courtesy of Brad Plummer/SLAC In crystallography experiments at the Coherent X-ray Imaging experimental

291

Flagship Cluster Hiring Initiative Computational Science  

E-Print Network [OSTI]

Flagship Cluster Hiring Initiative Computational Science: Advancing Research, Society and the Economy Gabrielle Allen (PI) Thomas Sterling (Presenter/co-PI) Department of Computer Science Center for Computation & Technology #12;Computational Science: Advancing Research, Society and the Economy, External

Allen, Gabrielle

292

INCITE grants awarded to 59 computational research projects | Argonne  

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

INCITE grants awarded to 59 computational research projects INCITE grants awarded to 59 computational research projects November 16, 2013 Printer-friendly version ARGONNE, IL., November 18, 2013-The U.S. Department of Energy's Office of Science announced 59 projects, promising to accelerate scientific discovery and innovation, that will share nearly 6 billion core hours on two of America's fastest supercomputers dedicated to open science. Their work will advance knowledge in critical areas from sustainable energy technologies to the environmental consequences of energy use. The allocations come from the Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. Through it, the world's most advanced computational research projects from academia, government, and industry are given access to the Department of Energy's (DOE's)

293

STATEMENT OF CONSIDERATIONS CLASS ADVANCE WAIVER OF THE GOVERNMENT'S DOMESTIC AND  

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

DESIGNFORWARD DESIGNFORWARD PROJECT; DOE WAIVER NO. W(C) 2012-006 The Department of Energy (DOE) has a long history of deploying leading-edge computing capability for science and national security. Going forward, DOE' s compelling science, energy assurance and national security needs will require a thousand-fold increase in usable computing power, delivered as quickly and energy-efficiently as possible. Within DOE' s Office of Science (SC), the mission of the Advanced Scientific Computing Research (ASCR) program is to discover, develop, and deploy computational and networking capabilities to analyze, model, simulate, and predict complex phenomena. A particular challenge of this program is fulfilling the science potential of emerging computing systems and other novel computing architectures,

294

STATEMENT OF CONSIDERATIONS CLASS ADVANCE WAIVER OF THE GOVERNMENT'S DOMESTIC AND  

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

FASTFORWARD FASTFORWARD PROJECT; DOE WAIVER NO. W(C) 2012-003 The Department of Energy (DOE) has a long history of deploying leading-edge computing capability for science and national security. Going forward, DOE's compelling science, energy assurance and national security needs will require a thousand-fold increase in usable computing power, delivered as quickly and energy-efficiently as possible. Within DOE's Office of Science (SC), the mission of the Advanced Scientific Computing Research (ASCR) program is to discover, develop, and deploy computational and networking capabilities to analyze, model, simulate, and predict complex phenomena. A particular challenge of this program is fulfilling the science potential of emerging computing systems and other novel computing architectures,

295

Advanced Photon Source  

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

0 Advanced Photon Source 0 Advanced Photon Source A U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences national synchrotron x-ray research facility Search Button About Welcome Overview Visiting the APS Mission & Goals Find People Organization Charts Committees Job Openings User Information Prospective Users New Users Current Users APS User Portal Macromolecular Crystallographers Administrators Find a Beamline Apply for Beam Time Contacts Calendars Community Scientific Access Site Access Training Science & Education Science & Research Highlights Conferences Seminars Publications Annual Reports APS Upgrade Courses and Schools Graduate Programs Scientific Software Media Center Calendar of Events APS News User News Argonne/APS Press Releases Argonne/APS Feature Stories Argonne/APS In The News

296

Mathematics and Computer Science | Argonne National Laboratory  

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

New international partnership to prepare for emerging simulation platforms New international partnership to prepare for emerging simulation platforms More New technique enables event tracing on extreme-scale systems More MCS and ALCF establish joint lab for evaluating computing platforms More New initiative on runtime compatibility for MPI implementations More Hybrid approach for better failure prediction on advanced computing systems More Vishwanath describes new tool for optimizing data movement on HPC systems More Argonne researcher and his colleagues receive best paper prize More A leader in the computing sciences, the MCS Division provides the numerical tools and technology for solving some of our nation's most critical scientific problems. Video Highlight "Ask Argonne" - Robert Jacob, Climate Scientist, Part 1 A leader in the computing sciences, the MCS Division provides the numerical

297

Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan. Part 1 : ASC software quality engineering practices version 1.0.  

SciTech Connect (OSTI)

The purpose of the Sandia National Laboratories (SNL) Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. Quality is defined in DOE/AL Quality Criteria (QC-1) as conformance to customer requirements and expectations. This quality plan defines the ASC program software quality practices and provides mappings of these practices to the SNL Corporate Process Requirements (CPR 1.3.2 and CPR 1.3.6) and the Department of Energy (DOE) document, ASCI Software Quality Engineering: Goals, Principles, and Guidelines (GP&G). This quality plan identifies ASC management and software project teams' responsibilities for cost-effective software engineering quality practices. The SNL ASC Software Quality Plan establishes the signatories commitment to improving software products by applying cost-effective software engineering quality practices. This document explains the project teams opportunities for tailoring and implementing the practices; enumerates the practices that compose the development of SNL ASC's software products; and includes a sample assessment checklist that was developed based upon the practices in this document.

Minana, Molly A.; Sturtevant, Judith E.; Heaphy, Robert; Hodges, Ann Louise; Boucheron, Edward A.; Drake, Richard Roy; Forsythe, Christi A.; Schofield, Joseph Richard, Jr.; Pavlakos, Constantine James; Williamson, Charles Michael; Edwards, Harold Carter

2005-01-01T23:59:59.000Z

298

FWP Scientific Publications  

Broader source: Energy.gov [DOE]

Scientific publications either directly studying former workers in the context of the screening program or recruiting former workers in the program as research participants for scientific studies funded by the National Institutes of Health or other research funding sources are summarized below according to publication date.

299

Scientific Poster Presentations  

E-Print Network [OSTI]

Creating Scientific Poster Presentations Visual Rhetoric/Visual Literacy Series Overview: What go into constructing or manipulating an image. Definition of Genre: Scientific poster presentations proceedings. Keep text between 700 and 800 words for a standard 3-foot-by-5-foot poster. This amount of text

Ferrari, Silvia

300

Knowledge-Based Parallel Performance Technology for Scientific Application Competitiveness Final Report  

SciTech Connect (OSTI)

The primary goal of the University of Oregon's DOE "??competitiveness" project was to create performance technology that embodies and supports knowledge of performance data, analysis, and diagnosis in parallel performance problem solving. The target of our development activities was the TAU Performance System and the technology accomplishments reported in this and prior reports have all been incorporated in the TAU open software distribution. In addition, the project has been committed to maintaining strong interactions with the DOE SciDAC Performance Engineering Research Institute (PERI) and Center for Technology for Advanced Scientific Component Software (TASCS). This collaboration has proved valuable for translation of our knowledge-based performance techniques to parallel application development and performance engineering practice. Our outreach has also extended to the DOE Advanced CompuTational Software (ACTS) collection and project. Throughout the project we have participated in the PERI and TASCS meetings, as well as the ACTS annual workshops.

Allen D. Malony; Sameer Shende

2011-08-15T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

APS Scientific Advisory Committee  

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

Scientific Advisory Committee (SAC) Scientific Advisory Committee (SAC) The SAC is responsible for advising the APS Associate Laboratory Director in the following areas: To evaluate the scientific output and facility utilization for all APS sectors. To examine performance and recommend appropriate beamtime allocation for existing Collaborative Access Teams (CATs). To evaluate Letters of Intent and scientific proposals for new and reconstituted CATs. To provide advice to and review decisions by APS management on special operations support for CATs. To review Special Program proposals, a new mode of access that will guarantee 10-30% the beam time per year on any sector for a finite period of time. To assist the APS with development of policies and other issues as appropriate. SAC members Participants in the Scientific Advisory Committee.

302

Superlative Supercomputers: Argonne's Mira to Accelerate Scientific  

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

Superlative Supercomputers: Argonne's Mira to Accelerate Superlative Supercomputers: Argonne's Mira to Accelerate Scientific Discoveries, Societal Benefits Superlative Supercomputers: Argonne's Mira to Accelerate Scientific Discoveries, Societal Benefits December 2, 2011 - 2:01pm Addthis This is a computer simulation of a Class 1a supernova. Argonne National Laboratory's Mira will have enough computing power to help researchers run simulations of exploding stars, specifically, of the turbulent nuclear combustion that sets off type 1a supernovae. | Photo courtesy of Argonne National Laboratory This is a computer simulation of a Class 1a supernova. Argonne National Laboratory's Mira will have enough computing power to help researchers run simulations of exploding stars, specifically, of the turbulent nuclear

303

Superlative Supercomputers: Argonne's Mira to Accelerate Scientific  

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

Superlative Supercomputers: Argonne's Mira to Accelerate Superlative Supercomputers: Argonne's Mira to Accelerate Scientific Discoveries, Societal Benefits Superlative Supercomputers: Argonne's Mira to Accelerate Scientific Discoveries, Societal Benefits December 2, 2011 - 2:01pm Addthis This is a computer simulation of a Class 1a supernova. Argonne National Laboratory's Mira will have enough computing power to help researchers run simulations of exploding stars, specifically, of the turbulent nuclear combustion that sets off type 1a supernovae. | Photo courtesy of Argonne National Laboratory This is a computer simulation of a Class 1a supernova. Argonne National Laboratory's Mira will have enough computing power to help researchers run simulations of exploding stars, specifically, of the turbulent nuclear

304

Resolving Numerical Anomalies in Scientific Computation  

E-Print Network [OSTI]

,992 processing cores and a sustained performance rate on the scalable Linpack benchmark of 478 trillion floating are available, at least in theory if not in widespread practice. For instance, it is often possible to run algorithms and/or programming techniques. This may true in some cases, although, as will be clear below

Geddes, Cameron Guy Robinson

305

National Energy Research Scientific Computing Center  

E-Print Network [OSTI]

" Tech. Report: see http://view.eecs.berkeley.edu (Inspired by a view of the Golden Gate Bridge from

306

Center for Scientific Computation And Mathematical Modeling  

E-Print Network [OSTI]

Modeling (CSCAMM) CSIC Building #406, Paint Branch Drive, University of Maryland, College Park CSCAMM rock avalanches. Our knowledge about these flows is exploding due to recent and planned robotic

Gruner, Daniel S.

307

National Energy Research Scientific Computing Center (NERSC)...  

Office of Science (SC) Website

Bookmarks External link Email a Friend Email link to: send Additional Information NERSC Web Page NERSC logo NERSC at 25 NERSC News NERSCLBL Study Finds No Evidence of Heartbleed...

308

Scientific Computations on Modern Parallel Vector Systems  

E-Print Network [OSTI]

,acanning,jtcarter,jshalf}@lbl.gov Stephane Ethier Princeton Plasma Physics Laboratory Princeton University Princeton, NJ 08453 sethier with the potential to run at ultrascale, from the areas of plasma physics, material science, astrophysics

309

Low Dose Radiation Research Program: Optimizing the Scientific, Regulatory,  

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

Optimizing the Scientific, Regulatory, and Societal Impact of the DOE Low Optimizing the Scientific, Regulatory, and Societal Impact of the DOE Low Dose Radiation Research Program Antone L. Brooks Why This Project? For maximum benefit, state-of-the-art research and new data from the Low Dose Radiation Research Program must be available to other scientists, regulatory agencies, and the public. This project stays abreast of scientific advances in the field, gathers, integrates, and summarizes the research within the program, and disseminates this information to appropriate scientific, regulatory, and public venues. Project Goals Provides a focal point for distribution of information generated in the program, to scientific committees, other governmental and regulatory agencies, and to the public Provides scientific support for the Low Dose Program website

310

Energy Innovation Hubs: A Home for Scientific Collaboration  

ScienceCinema (OSTI)

Secretary Chu will host a live, streaming Q&A session with the directors of the Energy Innovation Hubs on Tuesday, March 6, at 2:15 p.m. EST. The directors will be available for questions regarding their teams' work and the future of American energy. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@hq.doe.gov, prior or during the live event. Dr. Hank Foley is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Consortium for Advanced Simulation of Light Water Reactors, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis, which focuses on how to produce fuels from sunlight, water, and carbon dioxide. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@energy.gov, prior or during the live event. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each Hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Dr. Hank Holey is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Modeling and Simulation for Nuclear Reactors Hub, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis Hub, which focuses on how to produce biofuels from sunlight, water, and carbon dioxide.

Chu, Steven

2013-05-29T23:59:59.000Z

311

The Effect of a Contrast Agent on Proton Beam Range in Radiotherapy Planning Using Computed Tomography for Patients With Locoregionally Advanced Lung Cancer  

SciTech Connect (OSTI)

Purpose: We evaluated the effect of a contrast agent (CA) on proton beam range in a treatment planning system (TPS) for patients with locoregionally advanced lung cancer. Methods and Materials: Two sets of computed tomography (CT) images (with and without CA) were obtained from 20 patients with lung cancer. Because the increase in Hounsfield unit ( Increment HU) value of the heart and great vessels due to the effect of CA is most prominent among thoracic structures, to evaluate the effect of CA on proton beam range in the TPS, we compared the calculated distal ranges in the plan with CA-enhanced CT with those with corrected CT, in which the HU values of the heart and great vessels in the CA-enhanced CT were replaced by average HU values obtained from the unenhanced CT. Results: The mean Increment HU value and the longest length of the heart and great vessels within the proton beam path in the field that passed through these structures were 189 {+-} 29 HU (range, 110-250 HU) and 7.1 {+-} 1.1 cm (range, 2.6-11.2 cm), respectively. The mean distal range error in the TPS because of the presence of CA was 1.0 {+-} 0.7 cm (range, 0.2-2.6 cm). Conclusion: If CA-enhanced CT images are used for radiotherapy planning using a proton beam for the treatment of lung cancer, our results suggest that the HU values of the heart and great vessels should be replaced by the average HU values of soft tissue to avoid discrepancies between planned and delivered doses.

Hwang, Ui-Jung; Shin, Dong Ho [Proton Therapy Center, Research Institute and Hospital, National Cancer Center, Goyang, Gyeonggi (Korea, Republic of); Kim, Tae Hyun, E-mail: k2onco@naver.com [Proton Therapy Center, Research Institute and Hospital, National Cancer Center, Goyang, Gyeonggi (Korea, Republic of); Moon, Sung Ho; Lim, Young Kyung; Jeong, Hojin; Rah, Jeong-Eun; Kim, Sang Soo; Kim, Joo-Young; Kim, Dae Yong; Park, Sung Yong; Cho, Kwan Ho [Proton Therapy Center, Research Institute and Hospital, National Cancer Center, Goyang, Gyeonggi (Korea, Republic of)

2011-11-15T23:59:59.000Z

312

GUIDE TO SCIENTIFIC INSTRUMENTS  

Science Journals Connector (OSTI)

...Vacuum 1047. Vacuum Evaporators, for Sample Preparation...310 1048. Vacuum Evaporators, Metal Alloyd Electronics...Vacuum Equipment International Pump Kinney Vacuum...Associates 1049. Vacuum Evaporators, Rotating, for Liquids LaPine Scientific...

1962-10-12T23:59:59.000Z

313

SCIENTIFIC NOTES AND NEWS  

Science Journals Connector (OSTI)

...power, shipbuilding and waterways construction, chemistry and scientific appli-ances, lighting, heating and ventilation, agri-culture, horticulture and sylviculture, domes-tic economy, sports and pastimes, botany and zoology, artisans...

1907-09-06T23:59:59.000Z

314

Scientific programming in Fortran  

Science Journals Connector (OSTI)

The Fortran programming language was designed by John Backus and his colleagues at IBM to reduce the cost of programming scientific applications. IBM delivered the first compiler for its model 704 in 1957. IBM's competitors soon offered incompatible ...

W. Van Snyder

2007-01-01T23:59:59.000Z

315

Reply to comment | OSTI, US Dept of Energy, Office of Scientific and  

Office of Scientific and Technical Information (OSTI)

Reply to comment Reply to comment Slide07 Submitted by gibsone on Thu, 2013-08-22 13:44 FY2009-fdlc Slide07 * Fielded Search provides a very sophisticated search experience. * Reports fall into the disciplines of physics, chemistry, materials, biology, environmental sciences, energy technologies, engineering, computer and information science, renewable energy, and other topics of interest related to the DOE mission. The Information Bridge Advanced Search provides a variety of search fields for a very sophisticated search feature. Keep in mind that energy is not really a scientific discipline. Reports contained in the Information Bridge fall into the disciplines of physics, chemistry, materials, biology, environmental sciences, energy technologies, engineering, computer and

316

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

The Science Knowledge Imperative: Making Non-Googleable Science Findable The Science Knowledge Imperative: Making Non-Googleable Science Findable Slide01 Slide01 The Science Knowledge Imperative: Making Non-Googleable Science Findable Dr. Walter L. Warnick Director United States Department of Energy Office of Scientific & Technical Information Computers in Libraries Conference Arlington, Virginia March 30, 2009 walter.warnick@science.doe.gov Slide02 Slide02 Computers in Libraries 2009 Theme: "Creating Tomorrow: Spreading Ideas & Learning" * Science progresses as knowledge is shared * OSTI Corollary: Accelerating the sharing of knowledge accelerates the advancement of science Slide03 Slide03 But before we can accelerate the sharing of knowledge... ...we must dispel the misperception that popular search engines are already

317

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

The Science Knowledge Imperative: Making Non-Googleable Science Findable The Science Knowledge Imperative: Making Non-Googleable Science Findable Slide01 The Science Knowledge Imperative: Making Non-Googleable Science Findable Dr. Walter L. Warnick Director United States Department of Energy Office of Scientific & Technical Information Computers in Libraries Conference Arlington, Virginia March 30, 2009 walter.warnick@science.doe.gov The Science Knowledge Imperative: Making Non-Googleable Science Findable Slide02 Computers in Libraries 2009 Theme: "Creating Tomorrow: Spreading Ideas & Learning" * Science progresses as knowledge is shared * OSTI Corollary: Accelerating the sharing of knowledge accelerates the advancement of science The Science Knowledge Imperative: Making Non-Googleable Science Findable Slide03 But before we can accelerate the sharing of knowledge...

318

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

Office of Scientific and Technical Information (OSTI)

Computing Research Computing Research For the growing number of problems where experiments are impossible, dangerous, or inordinately costly, exascale computing will enable the solution of vastly more accurate predictive models and the analysis of massive quantities of data, producing advances in areas of science and technology that are essential to DOE and Office of Science missions and, in the hands of the private sector, drive U.S. competitiveness. Courtesy of Lawrence Berkeley National Laboratory Courtesy of Lawrence Berkeley National Laboratory Computational Research in DOE Databases Energy Citations Database DOE Data Explorer Science.gov WorldWideScience.gov More information DOE Office of Science Advanced Scientific Computing Research (ASCR) ASCR Research ASCR Facilities

319

Automation of Network-Based Scientific Workflows  

SciTech Connect (OSTI)

Comprehensive, end-to-end, data and workflow management solutions are needed to handle the increasing complexity of processes and data volumes associated with modern distributed scientific problem solving, such as ultra-scale simulations and high-throughput experiments. The key to the solution is an integrated network-based framework that is functional, dependable, fault-tolerant, and supports data and process provenance. Such a framework needs to make development and use of application workflows dramatically easier so that scientists' efforts can shift away from data management and utility software development to scientific research and discovery An integrated view of these activities is provided by the notion of scientific workflows - a series of structured activities and computations that arise in scientific problem-solving. An information technology framework that supports scientific workflows is the Ptolemy II based environment called Kepler. This paper discusses the issues associated with practical automation of scientific processes and workflows and illustrates this with workflows developed using the Kepler framework and tools.

Altintas, I. [University of California, La Jolla; Barreto, R. [Oak Ridge National Laboratory (ORNL); Blondin, J. M. [North Carolina State University; Cheng, Z. [North Carolina State University; Critchlow, T. [Lawrence Livermore National Laboratory (LLNL); Khan, A. [University of Utah; Klasky, Scott A [ORNL; Ligon, J. [North Carolina State University; Ludaescher, B. [University of California, Davis; Mouallem, P. A. [North Carolina State University; Parker, S. [University of Utah; Podhorszki, Norbert [University of California, Davis; Shoshani, A. [Lawrence Berkeley National Laboratory (LBNL); Silva, C. [University of Utah; Vouk, M. A. [North Carolina State University

2007-01-01T23:59:59.000Z

320

Scientific data repositories: designing for a moving target  

Science Journals Connector (OSTI)

Managing scientific data warehouses requires constant adaptations to cope with changes in processing algorithms, computing environments, database schemas, and usage patterns. We have faced this challenge in the RHESSI Experimental Data Center (HEDC), ...

Etzard Stolte; Christoph von Praun; Gustavo Alonso; Thomas Gross

2003-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Advanced Modeling & Simulation | Department of Energy  

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

Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation ADVANCING THE STATE OF THE ART Innovation advances science. Historically, innovation resulted almost exclusively from fundamental theories combined with observation and experimentation over time. With advancements in engineering, computing power and visualization tools, scientists from all disciplines are gaining insights into physical systems in ways not possible with traditional approaches alone. Modeling and simulation has a long history with researchers and scientists exploring nuclear energy technologies. In fact, the existing fleet of currently operating reactors was licensed with computational tools that were produced or initiated in the 1970s. Researchers and scientists in

322

Empirical Performance Analysis of High Performance Computing Benchmarks Across Variations in Cloud Computing.  

E-Print Network [OSTI]

??High Performance Computing (HPC) applications are data-intensive scientific software requiring significant CPU and data storage capabilities. Researchers have examined the performance of Amazon Elastic Compute (more)

Mani, Sindhu

2012-01-01T23:59:59.000Z

323

Computational Chemistry | More Science | ORNL  

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

Chemistry Advanced Materials Nuclear Forensics Climate & Environment Biology and Soft Matter Chemical and Engineering Materials Quantum Condensed Matter Computational Chemistry...

324

Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG &  

E-Print Network [OSTI]

Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG & PHARMACEUTICAL · What Kelly Scientific Resources or staffing agencies are and how they work?they work? · How to work Role: ­ Northern California Recruiting and Business efforts for Kelly Scientific Resources ­ Promote

Puglisi, Joseph

325

Scientific Societies, E-print Network -- Energy, science, and technology  

Office of Scientific and Technical Information (OSTI)

Scientific Societies Scientific Societies The Scientific Societies Page provides access to websites of scientific societies and professional associations whose focus is in the natural sciences as well as other related disciplines of interest to the Department of Energy research and development programs, projects, and initiatives. Chinese Dutch English French German Italian Japanese Nordic Russian Spanish/Portuguese Other View list of all societies. Choose desired language(s) and/or discipline(s) and select "Display Societies" button. Display Societies Languages All Languages English Japanese Chinese Nordic Dutch Russian French Spanish-Portuguese German Italian Other Disciplines All Subjects Biology and Medicine Biotechnology Chemistry Computer Technologies and Information Sciences

326

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Scientific Global Discovery Scientific Global Discovery Slide01 OSTI-Advancing Scientific Global Discovery DTIC 2008 Conference April 8, 2008 Keynote Address Dr. Warnick: It is an honor to be the Keynote speaker. Everyone here is familiar with the Defense Technical Information Center (DTIC). OSTI is the DTIC of the Department of Energy. OSTI-Advancing Scientific Global Discovery Slide02 OSTI Mission To advance science and sustain technological creativity by making R&D findings available and useful to DOE researchers and the American people. The OSTI mission reflects the mission and audience of our parent agency, the Department of Energy. OSTI-Advancing Scientific Global Discovery Slide03 Science Progresses as Knowledge Is Shared OSTI Corollary: If the sharing of knowledge is accelerated, discovery is

327

Scientific/Techical Report  

SciTech Connect (OSTI)

The ACNS provides a focal point for the North American neutron user community, strengthening ties within this diverse group, and promoting neutron research in related disciplines. The conference thus serves a dual role as both a national user meeting and a scientific meeting. As a venue for scientific exchange, the ACNS showcases recent results and provides a forum for scientific discussion of neutron-enabled research in fields as diverse as hard and soft condensed matter, liquids, biology, magnetism, engineering materials, chemical spectroscopy, crystal structure, elementary excitations, fundamental physics, and development of neutron instrumentation. This is achieved through a combination of invited oral presentations, contributed oral presentations, and poster sessions. Adequate opportunity for spontaneous discussion and collaboration is also built into the ACNS program in order to foster free exchange of new scientific ideas and the potential for use of powerful neutron scattering methods beyond the current realms of application. The sixth American Conference on Neutron Scattering (ACNS 2012) provided essential information on the breadth and depth of current neutron-related research worldwide. A strong program of plenary, invited and contributed talks showcased recent scientific results in neutron science in a wide range of fields, including soft and hard condensed matter, biology, chemistry, energy and engineering applications, and neutron physics.

Dr. Chris Leighton, Neutron Scattering Society of American; Mr. J. Ardie (Butch) Dillen, MRS Director of Finance and Administration

2012-11-07T23:59:59.000Z

328

BROOKHAVEN NATIONAL LABORATORYS CAPABILITIES FOR ADVANCED ANALYSES OF CYBER THREATS  

SciTech Connect (OSTI)

BNL has several ongoing, mature, and successful programs and areas of core scientific expertise that readily could be modified to address problems facing national security and efforts by the IC related to securing our nations computer networks. In supporting these programs, BNL houses an expansive, scalable infrastructure built exclusively for transporting, storing, and analyzing large disparate data-sets. Our ongoing research projects on various infrastructural issues in computer science undoubtedly would be relevant to national security. Furthermore, BNL frequently partners with researchers in academia and industry worldwide to foster unique and innovative ideas for expanding research opportunities and extending our insights. Because the basic science conducted at BNL is unique, such projects have led to advanced techniques, unlike any others, to support our mission of discovery. Many of them are modular techniques, thus making them ideal for abstraction and retrofitting to other uses including those facing national security, specifically the safety of the nations cyber space.

DePhillips M. P.

2014-06-06T23:59:59.000Z

329

JGI - Scientific Posters  

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

News and Publications News and Publications News Releases Science Highlights JGI in the News Notable Scientific Publications Scientific Posters The Primer Templates and Logos Scientific Posters Note: neither these posters nor their contents may be reproduced except by permission of JGI. Illumina Production Sequencing at the DOE Joint Genome Institute - Workflow and Optimizations (Bay Area Illumina User Meeting 2011) Angela Tarver, Alison Fern, Matthew San Diego, Megan Kennedy, Matthew Zane, Christopher Daum, Christopher Hack, Eric Tang, Shweta Deshpande, Jan-Fang Cheng, Simon Roberts, Melanie Alexandre, Miranda Harmon-Smith, Susan Lucas Phylogeny and comparative genome analysis of a Basidiomycete fungi (DOE JGI User Meeting 2011) Robert W. Riley, Asaf Salamov, Igor Grigoriev, David

330

JGI - Scientific Posters  

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

News and Publications News and Publications News Releases Science Highlights JGI in the News Notable Scientific Publications Scientific Posters The Primer Templates and Logos Scientific Posters - Archive Note: neither these posters nor their contents may be reproduced except by permission of JGI. JGI Sequencing Projects: Statistics and Timelines (JGI User Meeting 2007) Tijana Glavina del Rio, Kerrie Barry, Lynne Goodwin, Miranda Harmon-Smith, Harris Shapiro, Susan Lucas and David Bruce. What's new in project management? A Look at the JGI Project Management Office (JGI User Meeting 2007) David Bruce, Lynne Goodwin, Kerrie Barry, Susannah Tringe, Tijana Glavina del Rio Comparison of Protocols for Isolating Large Insert Clone DNA that is Suitable for High Throughput Library Construction (JGI User Meeting 2007)

331

Scientific Innovation Through Integration  

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

www.emsl.pnl.gov www.emsl.pnl.gov National asset for high- impact science As a national scientific user facility, EMSL provides scientific solutions to scientists from universities, industry, and government who seek out our unique capabilities and scientific expertise for their most challenging research objectives. At EMSL, we collaborate with these scientists-our users-to enable discovery and innovative solutions for the nation's energy, environmental, and national security problems. EMSL user projects by funding source in FY11. ACCELERATING INNOVATION ACROSS AMERICA PREPARING THE NEXT GENERATION User facilities provide training ground for educating next generation of scientists EMSL supports postdoctoral researchers, as well as graduate, undergraduate, and high school

332

E-Print Network 3.0 - advanced land imager Sample Search Results  

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

Computer Technologies and Information Sciences 94 Coupling High Resolution Earth System Models Using Advanced Computational Technologies Summary: Coupling High Resolution...

333

Recording Scientific Knowledge  

SciTech Connect (OSTI)

The way we record knowledge, and the web of technical, formal, and social practices that surrounds it, inevitably affects the knowledge that we record. The ways we hold knowledge about the past - in handwritten manuscripts, in printed books, in file folders, in databases - shape the kind of stories we tell about that past. In this talk, I look at how over the past two hundred years, information technology has affected the nature and production of scientific knowledge. Further, I explore ways in which the emergent new cyberinfrastructure is changing our relationship to scientific practice.

Bowker, Geof (Santa Clara University) [Santa Clara University

2006-01-09T23:59:59.000Z

334

SCIENTIFIC NOTES AND NEWS  

Science Journals Connector (OSTI)

...Geological Survey, Urbana, Illinois. SCIENTIFIC NOTES AND...Treasurer, 0. H. Plant, the State University...Clarke, Jackson and Madison Coun-ties, Georgia...Medicine, San Juan. Dow V. BAxTER, associate...be celebrated by the Chemical Society, London, at...

1934-04-13T23:59:59.000Z

335

Publications NMFS Scientific  

E-Print Network [OSTI]

Publications NMFS Scientific Reports Published as a flavor in fish from oil pickup. Copies may approxi- mately 500 km in the offshore direc- tion and 1,000 km in the alongshore direction. Maximum near the coast and negative in the region offshore. A line of zero wind stress curl paral- lels

336

Taxation and Scientific Research  

Science Journals Connector (OSTI)

... industry is seriously prejudiced. According to the present ruling of Inland Revenue officials, any expenditure on the scientific research incurred in connexion with a commercial or industrial undertaking is not ... expense which may be deducted from gross profits before assessment, but must be treated as capital ...

1934-07-21T23:59:59.000Z

337

SCIENTIFIC NOTES AND NEWS  

Science Journals Connector (OSTI)

...sci-entific papers have been in the fields of light and lighting. THE decoration of chevalier of the Legion of Honor of the...been appointed a member of the staff of the department of horticulture at the Ohio State University. He succeeds Professor W. Paddock...

1937-09-17T23:59:59.000Z

338

SCIENTIFIC NOTES AND NEWS  

Science Journals Connector (OSTI)

...School of the University of Minnesota, has been appointed clinical...Kountz, St. Louis, "Cur-rent Research on Degenerative Diseases...the poor prospect of early financial returns. It is proposed that...permanent scien-tific staff, the assistance and engagement of extra-mural...

1944-04-21T23:59:59.000Z

339

NETL: Advanced Research  

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

AR AR Coal and Power Systems Advanced Research 12.11.13: Request for Information entitled "Novel Crosscutting Research and Development to Support Advanced Energy Systems". Application due date is January 15, 2014. The RFI and/or instructions can be found on the FedConnect site at FedConnect. Achieving Successes in High Performance Materials, Coal Utilization Sciences, Sensors & Controls Innovations, Computational Energy Sciences, Cooperative Research and Development, and sponsoring Education Initiatives. The Advanced Research (AR) program within NETL's Office of Coal and Power Systems fosters the development of innovative, cost-effective technologies for improving the efficiency and environmental performance of advanced coal and power systems. In addition, AR bridges the gap between fundamental

340

Overview | Advanced Photon Source  

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

APS Overview: APS Overview: Introduction APS Systems Map LINAC Booster Synchrotron Storage Ring Insertion Devices Experiment Hall LOMs & Beamlines Overview of the APS The Advanced Photon Source (APS) at the U.S. Department of Energy's Argonne National Laboratory provides this nation's (in fact, this hemisphere's) brightest storage ring-generated x-ray beams for research in almost all scientific disciplines. Photo: Aerial Photo of APS Aerial photo of the Advanced Photon Source These x-rays allow scientists to pursue new knowledge about the structure and function of materials in the center of the Earth and in outer space, and all points in between. The knowledge gained from this research can impact the evolution of combustion engines and microcircuits, aid in the development of new pharmaceuticals, and pioneer nanotechnologies whose

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

E-Print Network 3.0 - advanced accelerator experimental Sample...  

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

(NIU), where advanced accelerator concepts and beam manipulation techniques... accelerators are among the most powerful scientific instruments mankind has built. They are...

342

Exploring nanoscale magnetism in advanced materials with polarized X-rays  

E-Print Network [OSTI]

Stoehr and H.C. Siegmann, Magnetism, Springer (2006) [93]Exploring nanoscale magnetism in advanced materials withABSTRACT Nanoscale magnetism is of paramount scientific

Fischer, Peter

2012-01-01T23:59:59.000Z

343

JGI - Notable Scientific Publications  

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

Notable Scientific Publications Notable Scientific Publications May 5, 2013 Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. (Nature Methods.) We present a hierarchical genome-assembly process (HGAP) for high-quality de novo microbial genome assemblies using only a single, long-insert shotgun DNA library in conjunction with Single Molecule, Real-Time (SMRT) DNA sequencing. Our method uses the longest reads as seeds to recruit all other reads for construction of highly accurate preassembled reads through a directed acyclic graph–based consensus procedure, which we follow with assembly using off-the-shelf long-read assemblers. March 24, 2013 The high-quality draft genome of peach (Prunus persica) identifies unique patterns of genetic diversity, domestication and genome evolution. (Nature

344

Slide02 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

Science Advances Only if Knowledge is Shared "If I have seen further it is only by standing on the shoulders of giants." Sir Isaac Newton Corollary 1: Scientific discovery can be...

345

Slide27 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

Science Advances Only If Knowledge Is Shared "If I have seen further, it is only by standing on the shoulders of giants." Sir Isaac Newton OSTI Corollary 1 Scientific discovery can...

346

Slide1 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

Innovative Web Resources Can Advance the DOE R&D Mission ARPA-E June 24, 2010 Walter L. Warnick, Ph.D. Director Office of Scientific & Technical Information Office of Science...

347

NWChem: Bridging the gap between experimental and computational...  

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

chemistry Experimental and computational scientists at EMSL explain how high performance computing and NWChem enhance scientific discovery. NWChem is EMSL's open-source...

348

Berkeley Lab Breaks Ground on the Computational Research Facility  

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

(CRD) at Berkeley Lab fosters scientific breakthroughs in applied computer science R&D, data management and analytics, networking and distributed computing, and applied...

349

DOE's National Laboratory Directors Highlight Scientific Merits of GNEP |  

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

National Laboratory Directors Highlight Scientific Merits of National Laboratory Directors Highlight Scientific Merits of GNEP DOE's National Laboratory Directors Highlight Scientific Merits of GNEP May 2, 2006 - 10:29am Addthis WASHINGTON , DC - Directors of nine of the Department of Energy's (DOE) national laboratories today announced their support for the Global Nuclear Energy Partnership (GNEP) and discussed the collaboration among the labs in carrying out the partnership. GNEP, part of President Bush's Advanced Energy Initiative, will support advanced technologies to recycle spent nuclear fuel and promote emissions-free nuclear energy in a more proliferation-resistant manner. President Bush has requested $250 million in fiscal year (FY) 2007 for GNEP. "The Global Nuclear Energy Partnership demonstrates the enormous role that

350

Modeling and Analysis of Scholar Mobility on Scientific Landscape  

E-Print Network [OSTI]

Scientific literature till date can be thought of as a partially revealed landscape, where scholars keep unveiling hidden knowledge by exploring novel research topics. How do scholars explore the scientific landscape, i.e., choose research topics to work on? We propose an agent-based model of topic mobility behavior where scholars migrate across research topics on the space of science following different strategies, seeking different utilities. We use this model to study whether strategies widely used in current scientific community can provide a balance between individual scientific success and the efficiency and diversity of the whole academic society. Through extensive simulations, we provide insights into the roles of different strategies, such as choosing topics according to research potential or the popularity. Our model provides a conceptual framework and a computational approach to analyze scholars' behavior and its impact on scientific production. We also discuss how such an agent-based modeling appr...

Ying, Qiu Fang; Chiu, Dah Ming

2015-01-01T23:59:59.000Z

351

Reply to comment | OSTI, US Dept of Energy, Office of Scientific and  

Office of Scientific and Technical Information (OSTI)

Reply to comment Reply to comment slide09 Submitted by gibsone on Thu, 2013-08-22 14:19 FY2009-nsta slide09 E-print Network * is a vast, integrated network of electronic scientific and technical information created by scientists and research engineers -- all fulltext searchable. * is intended for use by other scientists, engineers, and students at advanced levels. * is a gateway to over 30,000 websites and databases worldwide, containing over 5 million e-prints in basic and applied sciences, primarily in physics but also including subject areas such as chemistry, biology and life sciences, materials science, nuclear sciences and engineering, energy research, computer and information technologies, and other disciplines of interest to DOE. Add new comment Thumbnail Mobile_320x340

352

Advances in Animal Biotechnology  

Science Journals Connector (OSTI)

Abstract Animal biotechnology is used to improve food resources, to make biomedical advances and for industrial and commercial purposes. Today, the intersection of technology (genomic sequencing and computing) and biology (including cloning and regenerative medicine) bring a new sense of animal biotechnology, in which new products and experimental models can be imagined and realized. With these advances come challenges regarding product safety and animal welfare, as well as proper regulation. Animal biotechnology is a continually evolving field. Regulations will continue to develop as the field develops.

L.B. Schook; L.A. Rund; W. Hu; K.A. Darfour-Oduro; L.A. Knapp; F.M. Rodrigues; K.M. Schachtschneider

2014-01-01T23:59:59.000Z

353

Application of Robust Design and Advanced Computer Aided Engineering Technologies: Cooperative Research and Development Final Report, CRADA Number CRD-04-143  

SciTech Connect (OSTI)

Oshkosh Corporation (OSK) is taking an aggressive approach to implementing advanced technologies, including hybrid electric vehicle (HEV) technology, throughout their commercial and military product lines. These technologies have important implications for OSK's commercial and military customers, including fleet fuel efficiency, quiet operational modes, additional on-board electric capabilities, and lower thermal signature operation. However, technical challenges exist with selecting the optimal HEV components and design to work within the performance and packaging constraints of specific vehicle applications. SK desires to use unique expertise developed at the Department of Energy?s (DOE) National Renewable Energy Laboratory (NREL), including HEV modeling and simulation. These tools will be used to overcome technical hurdles to implementing advanced heavy vehicle technology that meet performance requirements while improving fuel efficiency.

Thornton, M.

2013-06-01T23:59:59.000Z

354

Supercomputing & Computation | ORNL  

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

Projects Projects Educational Outreach News & Awards Events and Conferences Supporting Organizations Follow ORNL at SC13 Titan Propels GE Wind Turbine Research into New Territory Full Story Home | Science & Discovery | Supercomputing and Computation Supercomputing and Computational Science | Supercomputing and Computational Science SHARE ORNL's computational expertise is built on a foundation of computer science, mathematics, and "big data"-or data science. The projects we undertake run the gamut from basic to applied research, and our ability to efficiently apply the massive computing power available at ORNL across a range of scientific disciplines sets us apart from other computing centers. We have decades of experience in developing applications to support basic

355

Army High Performance Computing Research Center  

E-Print Network [OSTI]

Army High Performance Computing Research Center Applying advanced computational science research challenges http://me.stanford.edu/research/centers/ahpcrc #12;Army High Performance Computing challenges http://me.stanford.edu/research/centers/ahpcrc #12;Army High Performance Computing Research

Prinz, Friedrich B.

356

It's In The Hopper: 4,000 Scientific Users Now Working With Supercomputer |  

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

It's In The Hopper: 4,000 Scientific Users Now Working With It's In The Hopper: 4,000 Scientific Users Now Working With Supercomputer It's In The Hopper: 4,000 Scientific Users Now Working With Supercomputer June 3, 2011 - 4:36pm Addthis Linda Vu What are the key facts? The National Energy Research Scientific Computing Center (NERSC) recently put their supercomputer, "Hopper," into the hands of its 4,000 scientific users. If every person alive simultaneously multiplied one pair of numbers, it would take almost 170,000 planet Earths calculating at the same time to match what Hopper could do in one second. The National Energy Research Scientific Computing Center (NERSC) in Berkeley, California, marked a major milestone when they recently put their supercomputer, "Hopper," into the hands of its 4,000 scientific users.

357

Nano-and Microtechnology Development for Advanced Scientific Measurements throughout  

E-Print Network [OSTI]

to a successful mission. Micro- and nanotechnology can play a significant role in upcoming landed missions to Mars, Europa, Titan, and icy bodies, such as comets and asteroids, not only to make current capabilities more

Fisher, Frank

358

Advancements in scientific data searching, sharing and retrieval Ranjeet Devarakonda  

E-Print Network [OSTI]

Ridge National Laboratory PO Box 2008 MS 6407, Oak Ridge, TN 37831 USA Email: devarakondar@ornl.gov Giri Palanisamy Oak Ridge National Laboratory PO Box 2008 MS 6407, Oak Ridge, TN 37831 USA Email: palanisamyg@ornl.gov Bruce E. Wilson Oak Ridge National Laboratory PO Box 2008 MS 6407, Oak Ridge, TN 37831 USA Email

359

#WomenInSTEM: A Physicist Focuses on Scientific Advancement  

SciTech Connect (OSTI)

Dr. Capece first became interested in science after learning about NASA's Voyager missions at an early age. In this video, Dr. Capece provides advice for women and girls interested in pursuing careers in STEM fields, like focusing on physics, biology and chemistry at the high school level. This video is part of the Energy Department's #WomenInSTEM video series. At the Energy Department, we're committed to supporting a diverse talent pool of STEM innovators ready to address the challenges and opportunities of our growing clean energy economy.

Capece, Angela

2014-07-17T23:59:59.000Z

360

High Performance Computing Symposium 2012 (HPCS2012)  

Science Journals Connector (OSTI)

The High Performance Computing Symposium (HPCS) is a multi-disciplinary conference that is considered to be Canada's premier HPC forum. Each year, researchers, industry experts, vendors and HPC innovators in academia and industry gather to exchange new tools, techniques and results in and for HPC and computational research. HPCS 2012 (http://2012.hpcs.ca/) was hosted by WestGrid/Compute Canada and held in Vancouver, BC on 13 May 2012 alongside the BCNET Annual Conference. More than 550 HPC experts and tech innovators attended three days of workshops, demos, panels and presentations. We would like to thank all the sponsors, speakers, staff, and delegates for helping make HPCS 2012 a success. Also, thank you to the authors of these papers and to the reviewers for their support in the preparation of these proceedings. HPCS 2013 will be held in Ottawa, ON. For more information, visit http://hpcs.ca/. As a national organization, Compute Canada coordinates and promotes the use of HPC in Canadian research and works to ensure that Canadian researchers have the computational facilities and expert services necessary to advance scientific knowledge and innovation. WestGrid, one of Compute Canada's largest regional partners, is composed of 14 partner institutions spanning British Columbia, Alberta, Saskatchewan and Manitoba. The HPCS 2012 Organizing Committee

Jana Makar

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Fundamental Scientific Problems in Magnetic Recording  

SciTech Connect (OSTI)

Magnetic data storage technology is presently leading the high tech industry in advancing device integration--doubling the storage density every 12 months. To continue these advancements and to achieve terra bit per inch squared recording densities, new approaches to store and access data will be needed in about 3-5 years. In this project, collaboration between Oak Ridge National Laboratory (ORNL), Center for Materials for Information Technology (MINT) at University of Alabama (UA), Imago Scientific Instruments, and Seagate Technologies, was undertaken to address the fundamental scientific problems confronted by the industry in meeting the upcoming challenges. The areas that were the focus of this study were to: (1) develop atom probe tomography for atomic scale imaging of magnetic heterostructures used in magnetic data storage technology; (2) develop a first principles based tools for the study of exchange bias aimed at finding new anti-ferromagnetic materials to reduce the thickness of the pinning layer in the read head; (3) develop high moment magnetic materials and tools to study magnetic switching in nanostructures aimed at developing improved writers of high anisotropy magnetic storage media.

Schulthess, T.C.; Miller, M.K.

2007-06-27T23:59:59.000Z

362

UNIVERSITY OF MARYLAND SCIENTIFIC DIVING SAFETY MANUAL  

E-Print Network [OSTI]

............................................................................................................................ 43 Section 13 Scientific Cave and Cavern Diving Standard

Rubloff, Gary W.

363

DOE High Performance Computing Operational Review  

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

HPCOR DOE High Performance Computing Operational Review (HPCOR) All logos Enabling Data-Driven Scientific Discovery at HPC Facilities June 18-19, 2014 California State University,...

364

Advanced Materials  

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

Advanced Materials Advanced Materials Advanced Materials Express Licensing Active Terahertz Metamaterial Devices Express Licensing Anion-Conducting Polymer, Composition, And Membrane Express Licensing Analysis Of Macromolecule, Liggands And Macromolecule-Lingand Complexes Express Licensing Carbon Microtubes Express Licensing Chemical Synthesis Of Chiral Conducting Polymers Express Licensing Forming Adherent Coatings Using Plasma Processing Express Licensing Hydrogen Scavengers Express Licensing Laser Welding Of Fused Quartz Express Licensing Multiple Feed Powder Splitter Negotiable Licensing Boron-10 Neutron Detectors for Helium-3 Replacement Negotiable Licensing Insensitive Extrudable Explosive Negotiable Licensing Durable Fuel Cell Membrane Electrode Assembly (MEA) Express Licensing Method of Synthesis of Proton Conducting Materials

365

A NATIONAL COLLABORATORY TO ADVANCE THE SCIENCE OF HIGH TEMPERATURE PLASMA PHYSICS FOR MAGNETIC FUSION  

SciTech Connect (OSTI)

This report summarizes the work of the University of Utah, which was a member of the National Fusion Collaboratory (NFC) Project funded by the United States Department of Energy (DOE) under the Scientific Discovery through Advanced Computing Program (SciDAC) to develop a persistent infrastructure to enable scientific collaboration for magnetic fusion research. A five year project that was initiated in 2001, it the NFC built on the past collaborative work performed within the U.S. fusion community and added the component of computer science research done with the USDOE Office of Science, Office of Advanced Scientific Computer Research. The project was itself a collaboration, itself uniting fusion scientists from General Atomics, MIT, and PPPL and computer scientists from ANL, LBNL, and Princeton University, and the University of Utah to form a coordinated team. The group leveraged existing computer science technology where possible and extended or created new capabilities where required. The complete finial report is attached as an addendum. The In the collaboration, the primary technical responsibility of the University of Utah in the collaboration was to develop and deploy an advanced scientific visualization service. To achieve this goal, the SCIRun Problem Solving Environment (PSE) is used on FusionGrid for an advanced scientific visualization service. SCIRun is open source software that gives the user the ability to create complex 3D visualizations and 2D graphics. This capability allows for the exploration of complex simulation results and the comparison of simulation and experimental data. SCIRun on FusionGrid gives the scientist a no-license-cost visualization capability that rivals present day commercial visualization packages. To accelerate the usage of SCIRun within the fusion community, a stand-alone application built on top of SCIRun was developed and deployed. This application, FusionViewer, allows users who are unfamiliar with SCIRun to quickly create visualizations and perform analysis of their simulation data from either the MDSplus data storage environment or from locally stored HDF5 files. More advanced tools for visualization and analysis also were created in collaboration with the SciDAC Center for Extended MHD Modeling. Versions of SCIRun with the FusionViewer have been made available to fusion scientists on the Mac OS X, Linux, and other Unix based platforms and have been downloaded 1163 times. SCIRun has been used with NIMROD, M3D, BOUT fusion simulation data as well as simulation data from other SciDAC application areas (e.g., Astrophysics). The subsequent visualization results - including animations - have been incorporated into invited talks at multiple APS/DPP meetings as well as peer reviewed journal articles. As an example, SCIRun was used for the visualization and analysis of a NIMROD simulation of a disruption that occurred in a DIII-D experiment. The resulting animations and stills were presented as part of invited talks at APS/DPP meetings and the SC04 conference in addition to being highlighted in the NIH/NSF Visualization Research Challenges Report. By achieving its technical goals, the University of Utah played a key role in the successful development of a persistent infrastructure to enable scientific collaboration for magnetic fusion research. Many of the visualization tools developed as part of the NFC continue to be used by Fusion and other SciDAC application scientists and are currently being supported and expanded through follow-on up on SciDAC projects (Visualization and Analytics Center for Enabling Technology, and the Visualization and Analysis in Support of Fusion SAP).

Allen R. Sanderson; Christopher R. Johnson

2006-08-01T23:59:59.000Z

366

USDOE, Office of Scientific and Technical Information  

Office of Scientific and Technical Information (OSTI)

Directors Directors 1947 Thompson 1948 Boardman 1951 Abdian 1956 Day 1959 Shannon 1979 Coyne 1991 Buffum 1997 Warnick OSTI Directors Timeline, 1994 to 1997 Walter L. Warnick, 1997 to present Office of Scientific and Technical Information Walter L. Warnick Amid emerging computing power and expanding networks now revolutionizing scientific communication, OSTI has pushed pedal to the metal to lead government search technology under the guidance of Walt Warnick. The OSTI Corollary: accelerating the spread of knowledge will accelerate discovery, has generated expansion of OSTI's longtime commitment to development of superior access to quality content. OSTI has championed relevancy ranking and federated search technology to increase access to research results. Soon after Dr. Warnick arrived at OSTI, the

367

E-Print Network 3.0 - alamos computer science Sample Search Results  

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

computer science Search Powered by Explorit Topic List Advanced Search Sample search results for: alamos computer science Page: << < 1 2 3 4 5 > >> 1 Computer & Computational...

368

Final Scientific EFNUDAT Workshop  

ScienceCinema (OSTI)

The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilitiesInternational Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden)Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis VlachoudisWorkshop Assistant: Graldine Jean

None

2011-10-06T23:59:59.000Z

369

Political Decisionmaking and Scientific Indeterminacy  

Science Journals Connector (OSTI)

Risk analysis and environmental impact assessment are topics ... become confused when scientific debate becomes suffused with political purpose. Scientists do not function well if ... are infused with controversy...

Timothy ORiordan

1985-01-01T23:59:59.000Z

370

ITER Project Scientific Foundations Mission  

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

ITER Project Scientific Foundations Mission Investment and Return Fusion reactions power the sun and the stars. To achieve fusion power on earth, a fusion reactor requires a...

371

Scientific and Technical Information Management  

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

The Order establishes requirements and responsibilities for managing DOE's scientific and technical information. Cancels DOE O 241.1. Canceled by DOE O 241.1B.

2003-10-14T23:59:59.000Z

372

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Slide22 Slide22 Slide23 Slide24 Multilingual WorldWideScience: Accelerating Discovery through Multilingual Translations Slide01 Multilingual WorldWideScience: Accelerating Discovery through Multilingual Translations International Council for Scientific and Technical Information (ICSTI) Annual Conference June 2010, Helsinki, Finland Walter L. Warnick, Ph.D. Director Office of Scientific & Technical Information U. S. Department of Energy Multilingual WorldWideScience: Accelerating Discovery through Multilingual Translations Slide02 Science Advances Only if Knowledge is Shared "If I have seen further it is only by standing on the shoulders of giants." Sir Isaac Newton Corollary 1: Scientific discovery can be accelerated by accelerating access to worldwide scientific information.

373

Computationalism \\Lambda Stuart C. Shapiro  

E-Print Network [OSTI]

Computationalism \\Lambda Stuart C. Shapiro Department of Computer Science and Center for Cognitive Science State University of New York at Buffalo 226 Bell Hall Buffalo, NY 14260­2000 U.S.A shapiro­ searchers: computational psychology, computational philosophy, and advanced Computer Science [Shapiro, 1992

Shapiro, Stuart C.

374

NREL: Photovoltaics Research - Testing and Analysis to Advance R&D  

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

Testing and Analysis to Advance R&D Testing and Analysis to Advance R&D Get the Adobe Flash Player to see this video. Text Alternative NREL has capabilities and experts in measurements, characterization, reliability, engineering, scientific computing, and theory to support photovoltaic (PV) research and development (R&D) across a range of conversion technologies and scales. Conversion technologies include the primary areas of silicon, polycrystalline thin films (cadmium telluride [CdTe], copper indium gallium diselenide [CIGS]), III-V-based multijunctions, and organic PV. And scales of interest range from materials, to cells, modules, and systems. Measurements and Characterization Photo of a hand holding tweezers pinching a square wafer that is striped gold and black. We provide a huge range of techniques for measuring and characterizing PV

375

E-Print Network 3.0 - advanced mcr operators Sample Search Results  

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

Computer Technologies and Information Sciences 31 Advanced Photon Source Conduct of Operations Manual Summary: ;TABLE OF CONTENTS x Advanced Photon Source Conduct of...

376

Welcome | Advanced Photon Source  

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

Welcome Welcome Aerial view of APS Aerial view of the APS Welcome to the Advanced Photon Source (APS) at Argonne National Laboratory. Whether you are a current or potential scientific user of our unique facility or are simply interested in learning more about the APS, we are delighted that you are visiting our website. The APS is funded by the Office of Science, Office of Basic Energy Sciences in the U.S. Department of Energy. We operate a National User Facility that is open to everyone who has a need for extremely brilliant x-ray photon beams. The APS is one of the most technologically complex machines in the world. This premier national research facility provides the brightest x-ray beams in the Western Hemisphere to more than 5,000 (and growing) scientists from

377

Visualizing the Future of Scientific Discovery - NERSC Science News June  

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

Visualizing the Visualizing the Future of Scientific Discovery Visualizing the Future of Scientific Discovery June 11, 2009 snVolRender-3.png A SUPERNOVA'S VOLUME: This volume rendering of supernova simulation data was generated by running the VisIt application on 32,000 processors on Franklin, a Cray XT4 supercomputer at NERSC. As computational scientists are confronted with increasingly massive datasets from supercomputing simulations and experiments, one of the biggest challenges is having the right tools to gain scientific insight from the data. A team of Department of Energy (DOE) researchers recently ran a series of experiments to determine whether VisIt, a leading scientific visualization application, is up to the challenge. Running on some of the world's most powerful supercomputers, VisIt achieved unprecedented levels of performance

378

ADVANCE: Increasing the Participation and Advancement of Women in Academic Science and Engineering Careers  

E-Print Network [OSTI]

ADVANCE: Increasing the Participation and Advancement of Women in Academic Science and Engineering Careers (ADVANCE) Program Solicitation NSF 07-582 Replaces Document(s): NSF 05-584 National Science for Biological Sciences Directorate for Computer & Information Science & Engineering Directorate for Engineering

Farritor, Shane

379

Advanced Systems  

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

Advanced Systems: Advanced Systems: high Performance fenestration systems Research areas: Research activities to improve the performance of windows and other fenestration products must address window systems issues as well as Glazing Materials research. LBNL activities in the area of Advanced Systems include research at both the product level and the building envelope and building systems levels. Highly insulating windows - using non structural center layers Lower cost solutions to more insulating three layer glazing systems, with the potential to turn windows in U.S. heating dominated residential applications into net-energy gainers. Highly Insulating Window Frames In collaboration with the Norwegian University of Science and Technology, we are researching the potentials for highly insulating window frames. Our initial work examines European frames with reported U-factors under 0.15 Btu/hr-ft2-F. Future research aims to analyze these designs, verify these performance levels and ensure that procedures used to calculate frame performance are accurate.

380

Acquisition of Scientific Equipment  

SciTech Connect (OSTI)

Whitworth University constructed a 63,00 sq. ft. biology and chemistry building which opened in the Fall of 2011. This project provided for new state-of-the-art science instrumentation enabling Whitworth students to develop skills and knowledge that are directly transferable to practical applications thus enhancing Whitworth student's ability to compete and perform in the scientific workforce. Additionally, STEM faculty undertake outreach programs in the area schools, bringing students to our campus to engage in activities with our science students. The ability to work with insturmentation that is current helps to make science exciting for middle school and high school students and gets them thinking about careers in science. 14 items were purchased following the university's purchasing policy, that benefit instruction and research in the departments of biology, chemistry, and health sciences. They are: Cadaver Dissection Tables with Exhaust Chamber and accessories, Research Microscope with DF DIC, Phase and Fluorescence illumination with DP72 Camera, Microscope with Fluorescence, Microcomputer controlled ultracentrifuge, Ultracentrifuge rotor, Variable Temperature steam pressure sterilizer, Alliance APLC System, DNA Speedvac, Gel Cocumentation System, BioPac MP150, Glovebox personal workstation,Lyophilizer, Nano Drop 2000/2000c Spectrophotometer, C02 Incubator.

Noland, Lynn [Director, Sponsored Programs] [Director, Sponsored Programs

2014-05-16T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

TRAC-PF1/MOD1: an advanced best-estimate computer program for pressurized water reactor thermal-hydraulic analysis  

SciTech Connect (OSTI)

The Los Alamos National Laboratory is developing the Transient Reactor Analysis Code (TRAC) to provide advanced best-estimate predictions of postulated accidents in light-water reactors. The TRAC-PF1/MOD1 program provides this capability for pressurized water reactors and for many thermal-hydraulic test facilities. The code features either a one- or a three-dimensional treatment of the pressure vessel and its associated internals, a two-fluid nonequilibrium hydrodynamics model with a noncondensable gas field and solute tracking, flow-regime-dependent constitutive equation treatment, optional reflood tracking capability for bottom-flood and falling-film quench fronts, and consistent treatment of entire accident sequences including the generation of consistent initial conditions. The stability-enhancing two-step (SETS) numerical algorithm is used in the one-dimensional hydrodynamics and permits this portion of the fluid dynamics to violate the material Courant condition. This technique permits large time steps and, hence, reduced running time for slow transients.

Liles, D.R.; Mahaffy, J.H.

1986-07-01T23:59:59.000Z

382

NERSC's Franklin Supercomputer Upgraded to Double Its Scientific Capability  

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

NERSC's Franklin NERSC's Franklin Supercomputer Upgraded to Double Its Scientific Capability NERSC's Franklin Supercomputer Upgraded to Double Its Scientific Capability July 20, 2009 OCEAN EDDIES: This image comes from a computer simulation modeling eddies in the ocean. An interesting feature is the abundance of eddies away from the equator, which is shown in the center of the image at y=0. This research collaboration led by Paola Cessi of the Scripps Institute of Oceanography performed over 15,000 years worth of deep ocean circulation simulations with 1.6 million processor core hours on the upgraded Franklin system. The Department of Energy's (DOE) National Energy Research Scientific Computing (NERSC) Center has officially accepted a series of upgrades to its Cray XT4 supercomputer, providing the facility's 3,000 users with twice

383

New Frontiers in Leadership Computing | Argonne Leadership Computing...  

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

of chemistry and microbiology a century and a half ago-the introduction of high-performance computing, or HPC, into the process of scientific inquiry. Insights may still favor...

384

Scientific Data Management Center for Enabling Technologies  

SciTech Connect (OSTI)

Managing scientific data has been identified by the scientific community as one of the most important emerging needs because of the sheer volume and increasing complexity of data being collected. Effectively generating, managing, and analyzing this information requires a comprehensive, end-to-end approach to data management that encompasses all of the stages from the initial data acquisition to the final analysis of the data. Fortunately, the data management problems encountered by most scientific domains are common enough to be addressed through shared technology solutions. Based on community input, we have identified three significant requirements. First, more efficient access to storage systems is needed. In particular, parallel file system and I/O system improvements are needed to write and read large volumes of data without slowing a simulation, analysis, or visualization engine. These processes are complicated by the fact that scientific data are structured differently for specific application domains, and are stored in specialized file formats. Second, scientists require technologies to facilitate better understanding of their data, in particular the ability to effectively perform complex data analysis and searches over extremely large data sets. Specialized feature discovery and statistical analysis techniques are needed before the data can be understood or visualized. Furthermore, interactive analysis requires techniques for efficiently selecting subsets of the data. Finally, generating the data, collecting and storing the results, keeping track of data provenance, data post-processing, and analysis of results is a tedious, fragmented process. Tools for automation of this process in a robust, tractable, and recoverable fashion are required to enhance scientific exploration. The SDM center was established under the SciDAC program to address these issues. The SciDAC-1 Scientific Data Management (SDM) Center succeeded in bringing an initial set of advanced data management technologies to DOE application scientists in astrophysics, climate, fusion, and biology. Equally important, it established collaborations with these scientists to better understand their science as well as their forthcoming data management and data analytics challenges. Building on our early successes, we have greatly enhanced, robustified, and deployed our technology to these communities. In some cases, we identified new needs that have been addressed in order to simplify the use of our technology by scientists. This report summarizes our work so far in SciDAC-2. Our approach is to employ an evolutionary development and deployment process: from research through prototypes to deployment and infrastructure. Accordingly, we have organized our activities in three layers that abstract the end-to-end data flow described above. We labeled the layers (from bottom to top): a) Storage Efficient Access (SEA), b) Data Mining and Analysis (DMA), c) Scientific Process Automation (SPA). The SEA layer is immediately on top of hardware, operating systems, file systems, and mass storage systems, and provides parallel data access technology, and transparent access to archival storage. The DMA layer, which builds on the functionality of the SEA layer, consists of indexing, feature identification, and parallel statistical analysis technology. The SPA layer, which is on top of the DMA layer, provides the ability to compose scientific workflows from the components in the DMA layer as well as application specific modules. NCSU work performed under this contract was primarily at the SPA layer.

Vouk, Mladen A.

2013-01-15T23:59:59.000Z

385

JT-60 Modification Plan for Long Pulse Advanced Tokamak Research  

E-Print Network [OSTI]

JT-60 Modification Plan for Long Pulse Advanced Tokamak Research Colloquium of Max Planck Institute as one step to DEMO · Advanced tokamak researches · Scientific achievements of JT-60 and its phase Tokamak Commercializa tion pease JT-60 Decision system of prototype reactor Electricity Generation

386

FY 2014 Scientific Infrastructure Support for Consolidated Innovative  

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

Scientific Infrastructure Support for Consolidated Scientific Infrastructure Support for Consolidated Innovative Nuclear Research FOA FY 2014 Scientific Infrastructure Support for Consolidated Innovative Nuclear Research FOA The Department of Energy's (DOE) Office of Nuclear Energy (NE) conducts crosscutting nuclear energy research and development (R&D) and associated infrastructure support activities to develop innovative technologies that offer the promise of dramatically improved performance for advanced reactors and fuel cycle concepts while maximizing the impact of DOE resources. The development of nuclear energy-related infrastructure and basic capabilities in the research community is necessary to promote R&D that supports nuclear science and engineering (NS&E), DOE-NE's mission, and the Nation's nuclear energy challenges. Accordingly, DOE intends to

387

Epidemiological Modeling | OSTI, US Dept of Energy, Office of Scientific  

Office of Scientific and Technical Information (OSTI)

Epidemiological Modeling Epidemiological Modeling Diffusion Epidemiological Modeling Through innovation and research, OSTI speeds the diffusion of scientific knowledge to accelerate the advancement of science. One way OSTI has approached this challenge is through conducting applied research using epidemiological models. OSTI assembled a diffusion research team of epidemiological modelers and science diffusion experts to explore a number of case studies of science knowledge diffusion. Preliminary results indicate (1) that the spread of ideas can be measured and modeled, and (2) that increasing the contact rate between scientists has an impact on the speed the diffusion of scientific knowledge. These findings could have broad implications for increasing the pace of discovery, predicting viability for scientific fields, evaluating long-term

388

Low Dose Radiation Research Program: Optimizing the Scientific, Regulatory  

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

Optimizing the Scientific, Regulatory and Societal Impact of the DOE Optimizing the Scientific, Regulatory and Societal Impact of the DOE Low Dose Research Program Authors: Antone L. Brooks Institution: Washington State University Tri-Cities Richland, Washington The purpose of this project is to provide a focal point for communication of the research results from the DOE Low Dose Radiation Research Program. The major communication tool provided by this project is a Website at Washington State University. The website is being maintained to provide communication between the scientific advances generated by the research program and scientists both in and outside the program, policy makers, regulators and the public. The website also contains a number of presentations and illustrations that are written so that they will be easy

389

Department of Energy Designates the Idaho National Laboratory Advanced Test  

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

Designates the Idaho National Laboratory Designates the Idaho National Laboratory Advanced Test Reactor as a National Scientific User Facility Department of Energy Designates the Idaho National Laboratory Advanced Test Reactor as a National Scientific User Facility April 23, 2007 - 12:36pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today designated the Idaho National Laboratory's (INL) Advanced Test Reactor (ATR) as a National Scientific User Facility. Establishing the ATR as a National Scientific User Facility will help assert U.S. leadership in nuclear science and technology, and will attract new users - universities, laboratories and industry - to conduct research at the ATR. This facility will support basic and applied nuclear research and development (R&D), furthering

390

Parallel Processing Letters fc World Scientific Publishing Company  

E-Print Network [OSTI]

Parallel Processing Letters fc World Scientific Publishing Company SCHEDULING ISSUES Department, University of Idaho Moscow, Idaho 83844-1010, USA and AZAD AZADMANESH Computer Science Department, University of Nebraska at Omaha Omaha, Nebraska 68182-0500, USA and MILES McQUEEN Idaho National Engineering

Krings, Axel W.

391

Exploratory nondestructive evaluation (NDE) research for advanced materials and processes: Volume 3 -- Interactive multimedia computer based training (IMCBT) for nondestructive evaluation/inspection (NDE/I) personnel. Final report, 1 July 1995--30 April 1998  

SciTech Connect (OSTI)

Interactive Multimedia Computer Based Training (IMCBT) for Nondestructive Inspection (NDE/I) Personnel: Computer Based Training (CBT) is a highly effective method for industrial training that has been growing in popularity. Text, graphics, sound, movies and animation enhance the learning activity. Interactive Multimedia CBT (IMCBT) allows students to learn in an environment where the training material is presented on a computer workstation and uses student interaction and feedback in the learning process. This technology has been used in the aerospace industry for aircraft maintenance and flight training and is growing in many operation training areas. The cost of development of IMCBT material is significantly more expensive than traditional training material, but an hour of IMCBT material can contain more information than an hour of traditional training material since information is transferred faster and with higher retention. Because IMCBT delivers training at lower cost, the overall benefit of IMCBT has been found to be in the range of 40% to 60% cost savings. The application of IMCBT for NDE/I training did show an overwhelmingly positive acceptance of the incorporation of IMCBT for NDE/I personnel within existing training structures. A CD-ROM package called INSPECT (Interactive Student Paced Eddy Current Training) has demonstrate various advanced aspects of potential IMCBT lessons. The INSPECT CD demonstration was reviewed by Air Force and industry professionals, as well as a group of high school students to gauge novice response. The prototype was found to be appealing and to have significant potential as a useful teaching tool. A large majority of the professional reviewers stated they would like to have complete CBT modules like INSPECT for some aspect of their NDE/I training.

Bossi; Knutson, B.; Nerenberg, R.; Deobald, L.; Nelson, J.

1998-07-01T23:59:59.000Z

392

A survey of the practice of computational science  

Science Journals Connector (OSTI)

Computing plays an indispensable role in scientific research. Presently, researchers in science have different problems, needs, and beliefs about computation than professional programmers. In order to accelerate the progress of science, computer scientists ...

Prakash Prabhu; Thomas B. Jablin; Arun Raman; Yun Zhang; Jialu Huang; Hanjun Kim; Nick P. Johnson; Feng Liu; Soumyadeep Ghosh; Stephen Beard; Taewook Oh; Matthew Zoufaly; David Walker; David I. August

2011-11-01T23:59:59.000Z

393

Computer Science Faculty Dr. Stephen Beale, Research Assistant Professor  

E-Print Network [OSTI]

Computer Science Faculty Dr. Stephen Beale, Research Assistant Professor Syntactic and semantic, multi-engine NLP applications Dr. Richard Chang, Associate Professor Computational complexity theory, natural language processing, intelligent agents Dr. Milton Halem, Research Professor Scientific computing

Adali, Tulay

394

Computational provenance in hydrologic science: a snow mapping example  

Science Journals Connector (OSTI)

...Naval Postgraduate School grant N00244-07-1-0013...properly documenting computer-based scientific...Donald Bren School of Environmental...Non-P.H.S. | Computer Simulation Database...Software User-Computer Interface

2009-01-01T23:59:59.000Z

395

Center for Integrated Computation and Analysis of Reconnection and Turbulence (CICART)  

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

Objectives Objectives Current Future New science Center for Integrated Computation and Analysis of Reconnection and Turbulence (CICART) Kai Germaschewski, Amitava Bhattacharjee, Barrett Rogers, Will Fox, Yi-Min Huang, and others CICART Space Science Center / Dept. of Physics University of New Hampshire August 3, 2010 Kai Germaschewski CICART Project Objectives Current Future New science Outline 1 Project Information 2 Project summary and scientific objectives 3 Current HPC usage and methods 4 HPC requirements in 5 years 5 New science with new resources Kai Germaschewski CICART Project Objectives Current Future New science Project Information Center for Integrated Computation and Analysis of Reconnection and Turbulence PI: Amitava Bhattacharjee CICART has a dual mission in research: it seeks fundamental advances in physical understanding, and works to achieve these advances

396

Advanced Search  

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

Publications Publications Advanced Search Most publications by Environmental Energy Technologies Division authors are searchable from this page, including peer-reviewed publications, book chapters, conference proceedings and LBNL reports. Filter Advanced Search Publications list This publications database is an ongoing project, and not all Division publications are represented here yet. For additional help see the bottom of this page. Documents Found: 4418 Title Keyword LBNL Number Author - Any - Abadie, Marc O Abbey, Chad Abdolrazaghi, Mohamad Aberg, Annika Abhyankar, Nikit Abraham, Marvin M Abshire, James B Abushakra, Bass Acevedo-Ruiz, Manuel Aceves, Salvador Ache, Hans J Ackerly, David D Ackerman, Andrew S Adamkiewicz, Gary Adams, J W Adams, Carl Adamson, Bo Addy, Nathan Addy, Susan E Aden, Nathaniel T Adesola, Bunmi Adhikari,

397

Advanced Combustion  

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

Systems Systems Advanced Combustion Background Conventional coal-fired power plants utilize steam turbines to generate electricity, which operate at efficiencies of 35-37 percent. Operation at higher temperatures and pressures can lead to higher efficiencies, resulting in reduced fuel consumption and lower greenhouse gas emissions. Higher efficiency also reduces CO2 production for the same amount of energy produced, thereby facilitating a reduction in greenhouse gas emissions. When combined, oxy-combustion comes with an efficiency hit, so it will actually increase the amount of CO2 to be captured. But without so much N2 in the flue gas, it will be easier and perhaps more efficient to capture, utilize and sequester. NETL's Advanced Combustion Project and members of the NETL-Regional University

398

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Advancing Science: OSTI's Current and Future Search Strategies Advancing Science: OSTI's Current and Future Search Strategies Slide01 Advancing Science: OSTI's Current and Future Search Strategies November 14, 2007 Advancing Science: OSTI's Current and Future Search Strategies Slide02 About OSTI A U.S. Department of Energy program within the Office of Science Maintains appropriate public access to DOE research results All collections of scientific and technical information resulting from R&D activities generated from the facilities within the national DOE complex Provides stewardship for the Department's 60-year legacy of classified and unclassified scientific and technical reports Maintains an electronic repository of over 4 million DOE-produced R&D records dating to 1940s Advancing Science: OSTI's Current and Future Search Strategies

399

Scientific Labs | Neutron Science | ORNL  

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

Scientific Labs Scientific Labs SHARE SNS Scientific Labs Meilleur-lab-students-300.jpg Students in the SNS chemistry lab practice pipetting water. A new complex of laboratories is now open at SNS, providing a flexible, mobile environment where users can work efficiently. The labs, on the second floor of the SNS Central Laboratory and Office Building, are built with "green" operations in mind, as well as to optimize the available space for researchers' ever-changing scientific needs. With overhead utilities and mobile furniture, the complex's 13 labs allow staff to easily reconfigure the layout of equipment and quickly change an experiment's setup as needed. "We surveyed more than 900 users on what they needed, and they gave us a wish list," says Chrissi Schnell, the Neutron Scattering Science Division

400

DOE SCIENTIFIC AND TECHNICAL REPORTS  

Broader source: Energy.gov [DOE]

The Record Disposition Schedule items listed below are have been consolidated from DOE Records Schedules previously approved over the last 35 years. They apply specifically to those scientific and...

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

PPPL Scientific and Engineering Capabilities | Princeton Plasma...  

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

PPPL Scientific and Engineering Capabilities The Off-Site University Research Program has access to PPPL's extensive scientific, engineering, technical, and safety capabilities. In...

402

Topco Scientific Company Ltd | Open Energy Information  

Open Energy Info (EERE)

Topco Scientific Company Ltd Jump to: navigation, search Name: Topco Scientific Company Ltd Place: Taipei City, Taiwan Sector: Solar Product: String representation "Its principal a...

403

Advanced fuel chemistry for advanced engines.  

SciTech Connect (OSTI)

Autoignition chemistry is central to predictive modeling of many advanced engine designs that combine high efficiency and low inherent pollutant emissions. This chemistry, and especially its pressure dependence, is poorly known for fuels derived from heavy petroleum and for biofuels, both of which are becoming increasingly prominent in the nation's fuel stream. We have investigated the pressure dependence of key ignition reactions for a series of molecules representative of non-traditional and alternative fuels. These investigations combined experimental characterization of hydroxyl radical production in well-controlled photolytically initiated oxidation and a hybrid modeling strategy that linked detailed quantum chemistry and computational kinetics of critical reactions with rate-equation models of the global chemical system. Comprehensive mechanisms for autoignition generally ignore the pressure dependence of branching fractions in the important alkyl + O{sub 2} reaction systems; however we have demonstrated that pressure-dependent 'formally direct' pathways persist at in-cylinder pressures.

Taatjes, Craig A.; Jusinski, Leonard E.; Zador, Judit; Fernandes, Ravi X.; Miller, James A.

2009-09-01T23:59:59.000Z

404

New Computer Codes Unlock the Secrets of Cleaner Burning Coal  

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

Codes Codes Unlock the Secrets of Cleaner Burning Coal New Computer Codes Unlock the Secrets of Cleaner Burning Coal March 29, 2012 | Tags: Advanced Scientific Computing Research (ASCR), Combustion, Franklin, Hopper Linda Vu, lvu@lbl.gov, +1 510 495 2402 The Polk Power Station near Mulberry, Florida, is an Integrated Gasification Combined Cycle gasification plant. It is capable of generating 313 megawatts of electricity - 250 megawatts of which are supplied to the electric grid. The plant's gas cleaning technology removes more than 98 percent of the sulfur in coal, converting it to a commercial product. Nitrogen oxide emissions are reduced by more than 90 percent. (Photo courtesy of DOE-NETL) Approximately half of all electricity used in the United States comes from

405

Large Scale Computing and Storage Requirements for Biological and Environmental Research  

E-Print Network [OSTI]

Office (BER), DOE Office of Science National Energy ResearchDepartment of Energy, Office of Science, Advanced ScientificDirectors of the Office of Science, Office of Biological &

DOE Office of Science, Biological and Environmental Research Program Office BER,

2010-01-01T23:59:59.000Z

406

E-Print Network 3.0 - advanced process research Sample Search...  

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

computer science, education and scientific research aimed at helping... of the research process. Microsoft ... Source: Narasayya, Vivek - Data Management, Exploration and Mining...

407

Large Eddy Simulation (LES) Applied to Advanced Engine Combustion...  

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

over broad operating ranges) - Requirements for efficient and routine use of high-performance computing (HPC), development of both predictive and affordable models for advanced...

408

Overview of DOE Advanced Combustion Engine R&D  

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

modeling and experiments Advanced diagnostics including optical, laser, x-ray, and neutron based techniques Multi-dimensional computational models and combustion...

409

Advanced Fuel Performance: Modeling and Simulation Light Water...  

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

models, and will be designed for implementa- tion not only on today's leadership- class computers, but also for advanced architecture platforms now under de- velopment by DOE, as...

410

Consortium for Advanced Simulation of Light Water Reactors (CASL...  

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

Presentations 2015 back to top Smith, K., Advances in Reactor Physics and Computational Science, Physor 2014 International Conference, "The Role of Reactor Physics toward a...

411

Legacy Computing Markup Language (LCML) and LEGEND -- LEGacy Encapsulation for Network Distribution  

E-Print Network [OSTI]

The rapid increase of computing power and emergence of distributed computing technologies such as Grid computing create new opportunities for scientific computing. One of the challenges faced in harnessing the emerging ...

Geiger, Stephen Kurt

2004-01-01T23:59:59.000Z

412

Uncertainty Analyses of Advanced Fuel Cycles  

SciTech Connect (OSTI)

The Department of Energy is developing technology, experimental protocols, computational methods, systems analysis software, and many other capabilities in order to advance the nuclear power infrastructure through the Advanced Fuel Cycle Initiative (AFDI). Our project, is intended to facilitate will-informed decision making for the selection of fuel cycle options and facilities for development.

Laurence F. Miller; J. Preston; G. Sweder; T. Anderson; S. Janson; M. Humberstone; J. MConn; J. Clark

2008-12-12T23:59:59.000Z

413

Advanced Research  

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

Super HigH-TemperaTure alloyS and Super HigH-TemperaTure alloyS and CompoSiTeS From nb-W-Cr SySTemS Description The U.S. Department of Energy's Office of Fossil Energy (DOE-FE) has awarded a three-year grant to the University of Texas at El Paso (UTEP) and Argonne National Laboratory (ANL) to jointly explore the high-temperature properties of alloys composed of niobium (Nb), tungsten (W), and chromium (Cr). The grant is administered by the Advanced Research (AR) program of the National

414

Mission Advancing  

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

NETL Accomplishments NETL Accomplishments - the lab 2 Mission Advancing energy options to fuel our economy, strengthen our security, and improve our environment. Renewed Prosperity Through Technological Innovation - Letter from the Director NETL: the ENERGY lab 4 6 3 Contents Technology Transfer Patents and Commercialization Sharing Our Expertise Noteworthy Publications 60 62 63 64 66 Environment, Economy, & Supply Carbon Capture and Storage Partnerships Work to Reduce Atmospheric CO 2 Demand-Side Efficiencies New NETL Facility Showcases Green Technologies Environment & Economy Materials Mercury Membranes NETL Education Program Produces Significant Achievement Monitoring Water Economy & Supply NETL's Natural Gas Prediction Tool Aids Hurricane Recovery Energy Infrastructure

415

E-Print Network 3.0 - advanced technology development Sample...  

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

Collection: Computer Technologies and Information Sciences 55 Kompetenzzentrum fr Automobil-und Industrieelektronik Summary: of materials for these advanced semiconductor...

416

2011 Computation Directorate Annual Report  

SciTech Connect (OSTI)

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

Crawford, D L

2012-04-11T23:59:59.000Z

417

Advanced Vehicle Testing & Evaluation  

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

Provide benchmark data for advanced technology vehicles Develop lifecycle cost data for production vehicles utilizing advanced power trains Provide fleet...

418

Advanced LIGO  

E-Print Network [OSTI]

The Advanced LIGO gravitational wave detectors are second generation instruments designed and built for the two LIGO observatories in Hanford, WA and Livingston, LA. The two instruments are identical in design, and are specialized versions of a Michelson interferometer with 4 km long arms. As in initial LIGO, Fabry-Perot cavities are used in the arms to increase the interaction time with a gravitational wave, and power recycling is used to increase the effective laser power. Signal recycling has been added in Advanced LIGO to improve the frequency response. In the most sensitive frequency region around 100 Hz, the design strain sensitivity is a factor of 10 better than initial LIGO. In addition, the low frequency end of the sensitivity band is moved from 40 Hz down to 10 Hz. All interferometer components have been replaced with improved technologies to achieve this sensitivity gain. Much better seismic isolation and test mass suspensions are responsible for the gains at lower frequencies. Higher laser power, larger test masses and improved mirror coatings lead to the improved sensitivity at mid- and high- frequencies. Data collecting runs with these new instruments are planned to begin in mid-2015.

The LIGO Scientific Collaboration

2014-11-17T23:59:59.000Z

419

Scientific Innovation Through Integration Capabilities Series  

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

EMSL EMSL 's expansive mass spectrometry capability group enables high-throughput, high-resolution analysis of complex mixtures of many sample types. These world-class instruments and techniques are part of an unparalleled collection of capabilities designed for research that integrates experimental and computational tools. In particular, mass spectrometry at EMSL facilitates advanced global proteomics research, aerosol particle characterization, the study of ion-surface collisions, and materials characterization. These tools enable novel, fundamental research in EMSL's Science Themes of Biological Interactions and Dynamics, Geochemistry/ Biogeochemistry and Subsurface Science, and Science of Interfacial Phenomena. Specific research topics include:

420

Scientific Alternative Investment Advisory Partners | Open Energy  

Open Energy Info (EERE)

Scientific Alternative Investment Advisory Partners Scientific Alternative Investment Advisory Partners Jump to: navigation, search Name Scientific Alternative Investment Advisory Partners Place Frankfurt, Germany Zip 60325 Sector Renewable Energy Product String representation "SCAIAP speciali ... aned companies." is too long. References Scientific Alternative Investment Advisory Partners[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Scientific Alternative Investment Advisory Partners is a company located in Frankfurt, Germany . References ↑ "Scientific Alternative Investment Advisory Partners" Retrieved from "http://en.openei.org/w/index.php?title=Scientific_Alternative_Investment_Advisory_Partners&oldid=350688

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

scientific information Topic scientific information Topic OSTI Partnering with Publishers on CrossRef and FundRef to Enhance Public Access to DOE Scientific and Technical Information by Dr. Walt Warnick 03 Jul, 2013 in Products and Content Throughout our history, the Office of Scientific and Technical Information (OSTI) has worked to make authoritative science information ever more efficiently available to researchers and the public alike. Our core mission - ensuring access to and preservation of U.S. Department of Energy (DOE) research results - has not changed. But the technology we apply to that mission has changed a lot over the past 20 years. By adopting Internet technology carefully and early, pioneering new advances in that technology to meet our needs and partnering with other stakeholders in the scientific and technical information community (STI), OSTI aspires to achieve our mission better than ever before.

422

E-Print Network 3.0 - artery computed tomography Sample Search...  

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

computed tomography Search Powered by Explorit Topic List Advanced Search Sample search results for: artery computed tomography Page: << < 1 2 3 4 5 > >> 1 Abstract Computed...

423

Universities & Libraries | OSTI, US Dept of Energy, Office of Scientific  

Office of Scientific and Technical Information (OSTI)

Universities & Libraries Universities & Libraries .EDUconnections | Library Tools OSTI connects with university research departments and libraries across the nation to increase awareness of DOE's valuable scientific and technical information. .EDUconnections OSTI "spotlights" individual universities with connections to DOE scientific research programs. Visit the "Spotlights" at .EDUconnections to see examples of universities that are supporting and advancing scientific research and discovery! community college connection OSTI "spotlights" community colleges across America that provide opportunities in science and technology. Library Tools DOE MARC Records System Open Archives Initiative (OAI) Server XML Data Services OSTI Homepage Mobile Gallery Subscribe to RSS OSTI Blog Get Widgets Get Alert Services

424

Recent Advances in VisIt: AMR Streamlines and Query-Driven Visualization  

SciTech Connect (OSTI)

Adaptive Mesh Refinement (AMR) is a highly effective method for simulations spanning a large range of spatiotemporal scales such as those encountered in astrophysical simulations. Combining research in novel AMR visualization algorithms and basic infrastructure work, the Department of Energy's (DOEs) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) has extended VisIt, an open source visualization tool that can handle AMR data without converting it to alternate representations. This paper focuses on two recent advances in the development of VisIt. First, we have developed streamline computation methods that properly handle multi-domain data sets and utilize effectively multiple processors on parallel machines. Furthermore, we are working on streamline calculation methods that consider an AMR hierarchy and detect transitions from a lower resolution patch into a finer patch and improve interpolation at level boundaries. Second, we focus on visualization of large-scale particle data sets. By integrating the DOE Scientific Data Management (SDM) Center's FastBit indexing technology into VisIt, we are able to reduce particle counts effectively by thresholding and by loading only those particles from disk that satisfy the thresholding criteria. Furthermore, using FastBit it becomes possible to compute parallel coordinate views efficiently, thus facilitating interactive data exploration of massive particle data sets.

Weber, Gunther; Ahern, Sean; Bethel, Wes; Borovikov, Sergey; Childs, Hank; Deines, Eduard; Garth, Christoph; Hagen, Hans; Hamann, Bernd; Joy, Kenneth; Martin, David; Meredith, Jeremy; Prabhat,; Pugmire, David; Rubel, Oliver; Van Straalen, Brian; Wu, Kesheng

2009-11-12T23:59:59.000Z

425

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

426

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

427

Transfer Function Design for Scientific Discovery  

SciTech Connect (OSTI)

As computation scales beyond terascale, the scientific problems under study through computing are increasingly pushing the boundaries of human knowledge about the physical world. It is more pivotal than ever to quickly and reliably extract new knowledge from these complex simulations of ultra scale. In this project, the PI expanded the traditional notion of transfer function, which maps physical quantities to visual cues via table look-ups, to include general temporal as well as multivariate patterns that can be described procedurally through specialty mini programming languages. Their efforts aimed at answering a perpetual question of fundamental importance. That is "what a visualization should show". Instead of waiting for application scientists to initiate the process, the team at University of Tennessee worked closely with scientists at ORNL in a proactive role to envision and design elegant, powerful, and reliable tools that a user can use to specify "what is interesting". Their new techniques include visualization operators that revolve around correlation and graph properties, relative patterns in statistical distribution, temporal regular expressions, concurrent attribute subspaces and traditional compound boolean range queries. The team also paid special attention to ensure that all visualization operators are inherently designed with great parallel scalability to handle tera-scale datasets in both homogeneous and heterogeneous environments. Success has been demonstrated with leading edge computational science areas include climate modeling, combustion and systems genetics.

Jian Huang

2008-12-08T23:59:59.000Z

428

Assessing the benefits of DCT compressive sensing for computational electromagnetics  

E-Print Network [OSTI]

Computational electromagnetic problems are becoming exceedingly complex and traditional computation methods are simply no longer good enough for our technologically advancing world. Compressive sensing theory states that ...

D'Ambrosio, Kristie (Kristie L.)

2011-01-01T23:59:59.000Z

429

From detonation to diapers: Los Alamos computer codes at core...  

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

From detonation to diapers Los Alamos computer codes at core of advanced manufacturing tools The computer codes used for predictive fluid modeling are part of the Los Alamos...

430

EMSL named an Intel Parallel Computing Center | EMSL  

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

Intel to modernize the codes of NWChem to take advantage of technological advancements in computers. NWChem is one of the Department of Energy's premier open-source computational...

431

Computational e-Science Studying complex systems in silico  

E-Print Network [OSTI]

Coordinated Initiative `Computational e-Science' is to advance innovative, interdisciplinary research where.g., climate prediction, pollution remediation, flood prediction). Computational science offers the best near

432

Advanced Research  

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

05/2007 05/2007 NitrogeN evolutioN aNd CorrosioN MeChaNisMs With oxyCoMbustioN of Coal Description Under a grant from the University Coal Research (UCR) program, Brigham Young University (BYU) is leading a three-year research effort to investigate the physical processes that several common types of coal undergo during oxy-fuel combustion. Specifically, research addresses the mixture of gases emitted from burning, particularly such pollutants as nitrogen oxides (NO X ) and carbon dioxide (CO 2 ), and the potential for corrosion at the various stages of combustion. The UCR program is administered by the Advanced Research Program at the National Energy Technology Laboratory (NETL), under the U.S. Department of Energy's Office of

433

Scientific and Technical Information Management  

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

To establish Department of Energy (DOE) requirements and responsibilities to ensure that scientific and technical information (STI) is identified, processed, disseminated, and preserved in a manner that (a) enables the scientific community and the public to locate and use the unclassified and unlimited STI resulting from DOE's research and related endeavors and (b) ensures access to classified and sensitive unclassified STI is protected according to legal or Departmental requirements. Cancels DOE O 241.1. Canceled by DOE O 241.1A Chg 1.

2001-04-09T23:59:59.000Z

434

Computer resources Computer resources  

E-Print Network [OSTI]

Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

Yang, Zong-Liang

435

Script Handbook for Interactive Scientific Website Building  

E-Print Network [OSTI]

In this script handbook, we collect the basic (and partially upgraded) PHP scripts used for building the AMIDAS website (http://pisrv0.pit.physik.uni-tuebingen.de/darkmatter/amidas/), an online interactive simulation/data analysis system for direct Dark Matter detection experiments and phenomenology. In this (1.73205) version, we add more materials and improve the scripts for offering a more convenient, comfortable and user-friendly environment on interactive scientific computing websites. Some basic, often used commands of (X)HTML, CSS, JavaScript, HTML DOM, and PHP are also given in Appendix. Online demonstrations and downloadable template scripts are given on http://www.tir.tw/iswb/ss2012/templates.php.

Chung-Lin Shan

2010-08-06T23:59:59.000Z

436

Dynamic trees can aid in performance tuning of scientific codes | Argonne  

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

trees can aid in performance tuning of scientific codes trees can aid in performance tuning of scientific codes July 16, 2013 Tweet EmailPrint The term "heterogeneous computers" generally refers to the growing complexity and diversity of modern computers. These include hybrid CPU-GPU, CPU-accelerator, many-core systems, and other novel architectures. Such systems make "portability" of scientific computing codes increasingly difficult, since a tremendous amount of developer-hours is required to achieve high performance on each new class or type of computer. Getting this performance "just right" on a new machine is called performance tuning. Researchers from the University of Chicago Booth School of Business, together with Stefan Wild, an assistant computational mathematician in the

437

Advanced isotope separation  

SciTech Connect (OSTI)

The Study Group briefly reviewed the technical status of the three Advanced Isotope Separation (AIS) processes. It also reviewed the evaluation work that has been carried out by DOE's Process Evaluation Board (PEB) and the Union Carbide Corporation-Nuclear Division (UCCND). The Study Group briefly reviewed a recent draft assessment made for DOE staff of the nonproliferation implications of the AIS technologies. The staff also very briefly summarized the status of GCEP and Advanced Centrifuge development. The Study Group concluded that: (1) there has not been sufficient progress to provide a firm scientific, technical or economic basis on which to select one of the three competing AIS processes for full-scale engineering development at this time; and (2) however, should budgetary restraints or other factors force such a selection, we believe that the evaluation process that is being carried out by the PEB provides the best basis available for making a decision. The Study Group recommended that: (1) any decisions on AIS processes should include a comparison with gas centrifuge processes, and should not be made independently from the plutonium isotope program; (2) in evaluating the various enrichment processes, all applicable costs (including R and D and sales overhead) and an appropriate discounting approach should be included in order to make comparisons on a private industry basis; (3) if the three AIS programs continue with limited resources, the work should be reoriented to focus only on the most pressing technical problems; and (4) if a decision is made to develop the Atomic Vapor Laser Isotope Separation process, the solid collector option should be pursued in parallel to alleviate the potential program impact of liquid collector thermal control problems.

Not Available

1982-05-04T23:59:59.000Z

438

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Accelerating the Diffusion of Knowledge to Advance Science and Technology Accelerating the Diffusion of Knowledge to Advance Science and Technology Slide01 Slide01 Accelerating the Diffusion of Knowledge to Advance Science and Technology United States Department of Energy Office of Scientific and Technical Information Karen J. Spence May 2007 Slide02 Slide02 27 Research Facilities and Laboratories across the U.S., plus 5,000+ grantees Samuel W. Bodman, Secretary of Energy Slide03 Slide03 Since 1947, OSTI has been ensuring that researchers and citizens have appropriate access to the nation's R&D results Office of Scientific and Technical Information (OSTI), 1 Science.gov Way, Oak Ridge, Tennessee Slide04 Slide04 OSTI's Mission is critical to DOE's Science Mission To advance science and sustain technological creativity by making R&D findings

439

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Advancing Science: OSTI's Current and Future Search Strategies Advancing Science: OSTI's Current and Future Search Strategies Slide01 Slide01 Advancing Science: OSTI's Current and Future Search Strategies November 14, 2007 Slide02 Slide02 About OSTI A U.S. Department of Energy program within the Office of Science Maintains appropriate public access to DOE research results All collections of scientific and technical information resulting from R&D activities generated from the facilities within the national DOE complex Provides stewardship for the Department's 60-year legacy of classified and unclassified scientific and technical reports Maintains an electronic repository of over 4 million DOE-produced R&D records dating to 1940s Slide03 Slide03 About OSTI OSTI accelerates the advancement of discovery by speeding access to R&D

440

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Slide39 Slide39 Slide40 Slide41 Slide42 Slide43 Slide44 Slide45 Accelerating the Diffusion of Knowledge to Advance Science and Technology Slide01 Accelerating the Diffusion of Knowledge to Advance Science and Technology United States Department of Energy Office of Scientific and Technical Information Karen J. Spence May 2007 Accelerating the Diffusion of Knowledge to Advance Science and Technology Slide02 27 Research Facilities and Laboratories across the U.S., plus 5,000+ grantees Samuel W. Bodman, Secretary of Energy Accelerating the Diffusion of Knowledge to Advance Science and Technology Slide03 Since 1947, OSTI has been ensuring that researchers and citizens have appropriate access to the nation's R&D results Office of Scientific and Technical Information (OSTI), 1 Science.gov

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Software & GRID Computing for LHC  

E-Print Network [OSTI]

Software & GRID Computing for LHC (Computing Work in a Big Group) Frederick Luehring luehring: ­ A short introduction about the LHC and ATLAS · LHC/ATLAS serves as an example of large scale scientific/P609 Presentation F. Luehring Pg. 3 #12;A Little About LHC & ATLAS February 10, 2011 P410/P609

Evans, Hal

442

Advanced Materials Facilities & Capabilites | ORNL  

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

Research Highlights Research Highlights Facilities and Capabilities Science to Energy Solutions News & Awards Events and Conferences Supporting Organizations Advanced Materials Home | Science & Discovery | Advanced Materials | Facilities and Capabilities SHARE Facilities and Capabilities ORNL has resources that together provide a unique environment for Advanced Materials Researchers. ORNL hosts two of the most advanced neutron research facilities in the world, the Spallation Neutron Source (SNS) and the High Flux Isotope Reactor (HFIR). In addition, the Center for Nanophase Materials Sciences offers world-class capabilities and expertise for nanofabrication, scanning probe microscopy, chemical and laser synthesis, spectroscopy, and computational modeling and their. The ORNL

443

Introduction to computers: Reference guide  

SciTech Connect (OSTI)

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.

Ligon, F.V.

1995-04-01T23:59:59.000Z

444

Final Technical and Scientific Report  

SciTech Connect (OSTI)

The objective of this project is to study the ultrafast carrier dynamics of in two types of semiconductor quantum dots: self-assembled quantum dots (SAQDs) and patterned quantum dots (PQDs) and to correlate these dynamics with the shape, size and material composition of the dots, thereby obtaining a fundamental scientific understanding of these nanoscale systems.

Sanjay Krishna (PI) and Diana Huffaker (Co-PI)

2007-07-11T23:59:59.000Z

445

Scientific Ethics in Chemical Education  

Science Journals Connector (OSTI)

Scientific Ethics in Chemical Education ... Many decisions made by working scientists have both a technical and an ethical component. ... To educate students about ethical misconduct in science, case studies were used in an ethics discussion board for a class group project. ...

Jeffrey Kovac

1996-10-01T23:59:59.000Z

446

Effective Scientific Posters Quick Reference  

E-Print Network [OSTI]

Effective Scientific Posters Quick Reference George R. Hess An effective poster will help you. A poster is a visual communication tool. Posters serve as ... » a source of information » a conversation starter » a summary of your work » an advertisement of your work Resources for Poster Presenters George

Movileanu, Liviu

447

Research on Handling Scientific Information  

Science Journals Connector (OSTI)

...and information handling contribute to scientific...photographs. The stored material would be coded by...while entering new material and consulting stored...research on the handling of scien-tific...photographs and circuit diagrams, as distinguished...should be based on thor-ough study of...

Helen L. Brownson

1960-12-30T23:59:59.000Z

448

Sandia National Laboratories: Advanced Simulation and Computing...  

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

of physical and engineering processes that occur during the operation of a nuclear weapon. In addition to supporting the stockpile, a number of other national security missions...

449

Advances in computational studies of energy materials  

Science Journals Connector (OSTI)

...hydrogen conversion efficiency...of water, conversion efficiencies...facilitate charge carrier separation...electron energies) with respect...record power conversion efficiency...the Coulomb energy: based on...p-type carriers, which are...

2010-01-01T23:59:59.000Z

450

Advances in computational studies of energy materials  

Science Journals Connector (OSTI)

...different lowest energy configuration, and...modelled. In this survey of the nanoclusters...the N are coloured dark blue. Table 12. Calculated formation energies for the three cases...and hafnia minimum energy clusters, the differences between E HOMO (dark grey diamonds...

2010-01-01T23:59:59.000Z

451

Advanced Sensors and Instrumentation | Department of Energy  

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

Sensors and Instrumentation Sensors and Instrumentation Advanced Sensors and Instrumentation The ASI subprogram plans to develop the scientific basis for sensors and supporting infrastructure technology that will address crosscutting technology gaps relating to measurements at existing and advanced nuclear power plants as well as within their fuel cycles. The focus of the program is on the following technical challenges and objectives: Identify needed physical measurement accuracy of nuclear system process parameters and minimize uncertainty. Identify and conduct research into monitoring and control technologies, including human factors, to achieve control of new nuclear energy processes, and new methodologies for monitoring to achieve high reliability and availability. Integrate control of multiple processes, potential reductions in

452

Functional Materials for Energy | Advanced Materials | ORNL  

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

Energy Storage Fuel Cells Thermoelectrics Separations Materials Catalysis Sensor Materials Polymers and Composites Carbon Fiber Related Research Chemistry and Physics at Interfaces Materials Synthesis from Atoms to Systems Materials Characterization Materials Theory and Simulation Energy Frontier Research Centers Advanced Materials Home | Science & Discovery | Advanced Materials | Research Areas | Functional Materials for Energy SHARE Functional Materials for Energy The concept of functional materials for energy occupies a very prominent position in ORNL's research and more broadly the scientific research sponsored by DOE's Basic Energy Sciences. These materials facilitate the capture and transformation of energy, the storage of energy or the efficient release and utilization of stored energy. A different kind of

453

U.S. Scientific Team Draws on New Data, Multiple Scientific Methodolog...  

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

Team Draws on New Data, Multiple Scientific Methodologies to Reach Updated Estimate of Oil Flows from BP's Well U.S. Scientific Team Draws on New Data, Multiple Scientific...

454

Advanced Photon Source  

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

Beam Time Contacts Calendars Community Scientific Access Site Access Training Science & Education Science & Research Highlights Conferences Seminars Publications Annual Reports...

455

NREL: Awards and Honors - Scientific and Technical Society Honors and  

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

Scientific and Technical Society Honors and Awards Scientific and Technical Society Honors and Awards American Association for the Advancement of Science 2011 Fellow - Stanley Bull 2003 Fellow - Dr. Art Nozik 2000 Fellow - Dr. Michael Seibert 1995 Fellow - Helena Chum 1991 Fellow - Robert Thresher American Chemical Society - Fuels & Energy Division 2010 Glenn Award for Best Paper - Casey McAlpin, Teresa Alleman, and Robert McCormick 2006 Special Festschrift Journal of Physical Chemistry B Publication - Arthur J. Nozik 2000 Glenn Award - Maria Ghirardi and Dr. Michael Seibert American Chemical Society - Northeastern Section 2011 Gustavus John Esselen Award - Dr. Arthur J. Nozik 2005 Fellow - Helena Chum American National Standards Institute (ANSI) 2011 Finegan Standards Leadership Medal - Richard DeBlasio

456

Year 1 Progress Report Computational Materials and Chemical Sciences Network Administration  

SciTech Connect (OSTI)

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

Rehr, John J.

2012-08-02T23:59:59.000Z

457

Scientific and Technical Information (STI) Managers | Scientific and  

Office of Scientific and Technical Information (OSTI)

Scientific and Technical Information (STI) Managers Scientific and Technical Information (STI) Managers Print page Print page Email page Email page The role of the STI Manager is to stay abreast of DOE's STI Program and coordinate the implementation of STIP best practices at their sites. In general, an STI Manager's responsibilities include: Providing oversight and coordination of contractor compliance with the Contractor Requirements Document of DOE Order 241.1B. - Coordinating the implementation of appropriate sensitivity reviews and release procedures. - Serving as Releasing Official or coordinating designation of Releasing Official(s), including notifying OSTI of such. - Ensuring STI and announcement notices are appropriately reviewed and marked. - Ensuring STI products and associated announcement notices are provided to

458

Algorithms With Impact (CpSc 940: Advanced Algorithms)  

E-Print Network [OSTI]

Algorithms With Impact (CpSc 940: Advanced Algorithms) Instructor: Dr. Brian Dean Fall 2011 Webpage and Course Goals The study of algorithms is a significant part of the foundation for the discipline of computer science. Over the past several decades, research in algorithmic computer science has advanced

Dean, Brian C.

459

Incentivizing Advanced Load Scheduling in Smart Homes , and David Irwin  

E-Print Network [OSTI]

Incentivizing Advanced Load Scheduling in Smart Homes Ye Xu , and David Irwin , and Prashant Shenoy Department of Electrical and Computer Engineering School of Computer Science University of Massachusetts Amherst ABSTRACT In recent years, researchers have proposed numerous advanced load scheduling algorithms

Massachusetts at Amherst, University of

460

Grid Computing: Application to Science  

E-Print Network [OSTI]

-- 17 Athlon XP 1900+ Hybrid MD/QM simulation on a Grid of distributed PC clusters in the US & Japan MDGrid Computing: Application to Science Aiichiro Nakano Collaboratory for Advanced Computing Science University of Southern California Email: anakano@usc.edu #12;Grid Computing NASA NAS IPG · World

Southern California, University of

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

News Releases | Advanced Materials | ORNL  

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

News & Awards News & Awards News Releases Honors & Awards News Features Advanced Materials Home | Science & Discovery | Advanced Materials | News & Awards | News Releases News Releases 1-7 of 7 Results ORNL devises recipe to fine-tune diameter of silica rods December 16, 2013 - OAK RIDGE, Tenn., Dec. 16, 2013 - By controlling the temperature of silica rods as they grow, researchers at the Department of Energy's Oak Ridge National Laboratory could be setting the stage for advances in anti-reflective solar cells, computer monitors, TV screens, eye glasses and more. ORNL's Bruce Pint elected 2014 NACE fellow December 13, 2013 - OAK RIDGE, Tenn., Dec. 13, 2013 - Bruce Pint, a research staff member at the Department of Energy's Oak Ridge National Laboratory, has been elected a 2014 National Association of Corrosion

462

Computational Biology & KBase | Clean Energy| ORNL  

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

scale and complexity of biological data require advanced computational tools and resources for processing, analyzing, visualizing, and integrating information needed to build,...

463

Molecular Science Computing: 2010 Greenbook  

SciTech Connect (OSTI)

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

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

2010-04-02T23:59:59.000Z

464

Computational Energy Sciences Program  

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

Computational EnErgy SCiEnCES program Computational EnErgy SCiEnCES program Description Led by the National Energy Technology Laboratory (NETL), the Advanced Research (AR) Computational Energy Sciences (CES) Program provides high-performance computational modeling and simulation resources to the Office of Fossil Energy (FE) and other programs of the U.S. Department of Energy (DOE). These resources are dedicated to speeding development and reducing costs associated with advanced power system design and performance modeling. CES research is focused on developing a set of complex but flexible computational tools that allow more rapid and efficient scale-up of new subsystems, devices, and components, thereby reducing the need for large and expensive demonstration-scale testing of integrated energy systems,

465

Advanced Editor Usage Advanced Editor Usage  

E-Print Network [OSTI]

Advanced Editor Usage Advanced Editor Usage Log in and click the edit icon How to navigate of the events will seek the video to where that event starts Page 1 of 11 #12;Advanced Editor Usage How Editor Usage 3. Type in the new caption name, enter any searchable metadata and click OK (the thumbnail

Benos, Panayiotis "Takis"

466

ORISE: Scientific Peer Review Planning  

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

Planning Planning Woman participating in a peer review The Oak Ridge Institute for Science and Education (ORISE) begins the peer review planning process by analyzing the purpose of the funds to be distributed. Because each agency's needs are different, ORISE then designs and manages a flexible, scientific peer review process that can be modified based on a sponsor's regulatory, policy and operational requirements. ORISE's existing tools and systems, and knowledge of reviewing proposals from a government agency perspective, are helping to promote the quality and credibility of scientific information and funded research. ORISE's peer review planning process ensures each objective review is completed on schedule, within budget and with a high degree of process integrity.

467

Should we train scientific generalists?  

E-Print Network [OSTI]

I examine the topic of training scientific generalists. To focus the discussion, I propose the creation of a new graduate program, analogous in structure to existing MD/PhD programs, aimed at training a critical mass of scientific researchers with substantial intellectual breadth. In addition to completing the normal requirements for a PhD, students would undergo an intense, several year training period designed to expose them to the core vocabulary of multiple subjects at the graduate level. After providing some historical and philosophical context for this proposal, I outline how such a program could be implemented with little institutional overhead by existing research universities. Finally, I discuss alternative possibilities for training generalists by taking advantage of contemporary developments in online learning and open science.

Sarma, Gopal

2014-01-01T23:59:59.000Z

468

NEST Scientific Report 2007-2009 Transport phenomena in self-assembled nanowires  

E-Print Network [OSTI]

NEST Scientific Report 2007-2009 Transport phenomena in self-assembled nanowires 21 S elf incompatible materials can be combined into advanced ­ in some cases unprecedented ­ nanostructures and charge transport in self-assembled structures as well as Josephson coupling in devices combining

Abbondandolo, Alberto

469

NETL: Advanced Research - Materials  

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

High Performance Materials > Chrome Oxide Refractory High Performance Materials > Chrome Oxide Refractory Advanced Research High Performance Materials Chrome Oxide Refractory One notable NETL success is the development of a chrome oxide refractory material capable of working in slagging gasifier conditions. In this project, researchers first determined that one of the major failure mechanisms for chrome oxide refractories exposed to the intense heat and corrosive environment was spalling, or the chipping or flaking of refractory material from an exposed face. They used this information to formulate a high-chrome oxide refractory composition that resists spalling, resulting in a refractory with a longer service life in the gasifier. Inside an ultrasupercritical (USC) pulverized coal power plant, materials are exposed to temperatures up to 760°C and pressures up to 5,000 psi. Operating a USC system can improve power plant efficiency up to 47% and reduce emissions. However, finding boiler and turbine materials that can hold up under extreme conditions requires new high-temperature metal alloys and ceramic coatings, as well as computational modeling research to optimize the processing of these materials. Advanced Research Materials Development program successes in this area include the following:

470

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Scientific Global Discovery Scientific Global Discovery Slide01 Slide01 OSTI-Advancing Scientific Global Discovery DTIC 2008 Conference April 8, 2008 Keynote Address Dr. Warnick: It is an honor to be the Keynote speaker. Everyone here is familiar with the Defense Technical Information Center (DTIC). OSTI is the DTIC of the Department of Energy. Slide02 Slide02 OSTI Mission To advance science and sustain technological creativity by making R&D findings available and useful to DOE researchers and the American people. The OSTI mission reflects the mission and audience of our parent agency, the Department of Energy. Slide03 Slide03 Science Progresses as Knowledge Is Shared OSTI Corollary: If the sharing of knowledge is accelerated, discovery is accelerated . . . Profound implications for all of us in the information business!

471

Advanced Manufacturing Office Overview  

Broader source: Energy.gov [DOE]

Overview presentation by the Advanced Manufacturing Office for the Microwave (MW) and Radio Frequency (RF) as Enabling Technologies for Advanced Manufacturing

472

Computers and Computer Networks  

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

and Computer Networks and Computer Networks Computer Science documentation, etc. Computer Science Research and Services at the Lab Super Computing Computer Graphics Computer & Internet information via yahoo.com, categorized by subject Perl UNIX documentation Shareware sites MBONE and Videoconferencing Computer Networks and related documentation Computer Documentation World Wide Web UNIX Documentation TeX, LaTeX FAQ, documents, archives, etc. MacInTouch -- current Macintosh information, from vendor & others Shareware sites The Free On-line Dictionary of Computing PDS: The Performance Database Server of Computer Benchmark Return to Top Return to Top Newsgroups, USEnet, and Mailing Lists Usenet (Internet News Groups) Mailing list software & information Return to Top Return to Top

473

Parallel Hypergraph Partitioning for Scientific Computing Karen D. Devine  

E-Print Network [OSTI]

communication cost and achieves maximal performance. Graph partitioning has long served as a useful model University Dept. of Biomedical Informatics Columbus, OH 43210, USA umit@bmi.osu.edu Abstract Graph Department of Energy's National Nuclear Security Administration under Contract DE- AC04-94AL85000

Bisseling, Rob

474

Computational Techniques and Applications: CTAC95 1 World Scientific  

E-Print Network [OSTI]

, production and re­ covery of oil and gas the petroleum industry has developed and implemented a variety into the aquifer has been studied by nuclear engineers in connection to possible leaks from tanks with radioactive

475

12.010 Computational Methods of Scientific Programming, Fall 2002  

E-Print Network [OSTI]

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative ...

Herring, T. (Thomas)

476

12.010 Computational Methods of Scientific Programming, Fall 2007  

E-Print Network [OSTI]

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative ...

Herring, T. (Thomas)

477

National Energy Research Scientific Computing Center 2007 Annual Report  

E-Print Network [OSTI]

Annual Report aims to develop commercially viable hydrogen fuel cells.Annual Report Scientists discover why the right amount of moisture in the membrane plays a key role in fuel cell

Hules, John A.

2008-01-01T23:59:59.000Z

478

MA50177: Scientific Computing Nuclear Reactor Simulation Generalised Eigenvalue Problems  

E-Print Network [OSTI]

Problems Introduction While people are still looking for (energy and cost) efficient ways to exploit renewable energies (solar, aeolian, fuel cells, etc.), nuclear power stations will continue to play a major role as an energy source in the world. Since it is not possible to test safety procedures in the case

Wirosoetisno, Djoko

479

Scientific Computing & InstrumentationTM www.scimag.com  

E-Print Network [OSTI]

-D Visualization to Investigate the Drosophila Brain critical and ongoing challenge for medical the functioning of the brain. A quantitative assessment of brain structure seemed particularly rewarding since it allows the identification of genetic variants with subtle brain structure phenotypes and, even more

Andrzejak, Artur

480

A distributed scientific visualization paradigm for heterogeneous computer networks  

E-Print Network [OSTI]

with the object oriented techniques described by the Xt Intrinsics [1]. The system as a whole consists of two parts, the communication libraries that exist on the supercomputer (Libsp), and the daemon process that runs on the workstation (SPD). This particular... an ethernet socket con- nection, formatted, and sent to the appropriate display widget for physical rendering. SPD Organization The SPD is organized according to the constraints provided by the X Window Sys- tem Xt Intrinsics libraries [20], and is shown...

Lenox, Mark Wayne

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advanced scientific computing" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

National Energy Research Scientific Computing Center 2007 Annual Report  

E-Print Network [OSTI]

boring scheme Since the ignition laser cannot directly reachscheme, in which the ignition laser pulse is preceded by aRen continued: The ignition laser has to heat the pellet in

Hules, John A.

2008-01-01T23:59:59.000Z

482

National Energy Research Scientific Computing Center 2007 Annual Report  

E-Print Network [OSTI]

Robert J. Goldston Princeton Plasma Physics Laboratory TonyBerkeley 9,646,216 Princeton Plasma Physics 4,804,108 OakRavi Samtaney, Princeton Plasma Physics Laboratory Of?ce of

Hules, John A.

2008-01-01T23:59:59.000Z

483

900-MHz NMR: Accelerating Scientific Discovery Scientific Innovation Through Integration  

E-Print Network [OSTI]

When the U.S. Department of Energy's (DOE's) Office of Biological and Environmental Research approved, the highest magnetic field available was 750 MHz. DOE's decision and the ultimate success of its 900-MHz NMR. Influencing collaborators In addition to advancing many fields of fundamental research, the high-quality data

484

SuperComputing | Mathematics | ORNL  

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

Discrete Math Kinetic Theory Linear Algebra Solvers Uncertainty Quantification National Security Systems Modeling Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Mathematics SHARE Mathematics The Computational Mathematics activities include the developing and deploying computational and applied mathematical capabilities for modeling, simulating, and predicting complex phenomena of importantance to the Department of Energy (DOE). A particular focus is on developing novel scalable algorithms for exploiting novel high performance computing resources for scientific discovery as well as decision-sciences.

485

The Netherlands Code of Conduct for Scientific Practice Principles of good scientific teaching and research  

E-Print Network [OSTI]

The Netherlands Code of Conduct for Scientific Practice Principles of good scientific teaching and research 2004, revision 20121 Association of Universities in the Netherlands 1 The code of conduct for Scientific Practice 2 TABLE OF CONTENTS The Netherlands Code of Conduct for Scientific Practice Preamble 3

van Rooij, Robert

486

Unique Aspects and Scientific Challenges | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Unique Aspects and Scientific Challenges Unique Aspects and Scientific Challenges High Energy Physics (HEP) HEP Home About Research Snowmass / P5 Planning Process Intensity Frontier Cosmic Frontier Cosmic Frontier: More Information Unique Aspects and Scientific Challenges Theoretical Physics Advanced Technology R&D Accelerator R&D Stewardship Research Highlights .pdf file (13.1MB) Questions for the Universe Accomplishments Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees News & Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F: (301) 903-2597 E: sc.hep@science.doe.gov More Information » Cosmic Frontier Unique Aspects and Scientific Challenges

487

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Multilingual WorldWideScience: Accelerating Discovery through Multilingual Multilingual WorldWideScience: Accelerating Discovery through Multilingual Translations Slide01 Slide01 Multilingual WorldWideScience: Accelerating Discovery through Multilingual Translations International Council for Scientific and Technical Information (ICSTI) Annual Conference June 2010, Helsinki, Finland Walter L. Warnick, Ph.D. Director Office of Scientific & Technical Information U. S. Department of Energy Slide02 Slide02 Science Advances Only if Knowledge is Shared "If I have seen further it is only by standing on the shoulders of giants." Sir Isaac Newton Corollary 1: Scientific discovery can be accelerated by accelerating access to worldwide scientific information. The case for WorldWideScience.org. Corollary 2: Multilingual translations of science will further accelerate

488

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Get scientific e-prints Get scientific e-prints by Dennis Traylor on Fri, 31 Aug, 2012 E-print Network The E-print Network provides a vast, integrated network of electronic scientific and technical information created by scientists and research engineers active in their respective fields, all full-text searchable. Documents such as these are the means by which today's scientists and researchers communicate their recent findings to their colleagues and by which they propose new ideas of how the world works to their peers for their collective judgment. Documents such as these then are of the sort that becomes the central body of scientific information. While the E-print Network is intended for use by scientists, engineers, and students at advanced levels, it is freely available for all users.

489

National security and scientific communication  

Science Journals Connector (OSTI)

...information of the U.S. most advanced thermonuclear weapons. Yet, in using the...weapons is minor. The W-88 two-stage thermonuclear design leads to a weapon that is small...China has tested somewhat similar thermonuclear designs, which are, however, believed...

Wolfgang K. H. Panofsky

2000-01-01T23:59:59.000Z

490

OSTI, US Dept of Energy, Office of Scientific and Technical Information |  

Office of Scientific and Technical Information (OSTI)

Slide23 Slide23 Slide24 Slide25 Multilingual WorldWideScience.org: International Collaboration Speeds Advances in E-Science Slide01 Multilingual WorldWideScience.org: International Collaboration Speeds Advances in E-Science United Nations Commission on Science and Technology for Development Geneva, Switzerland 25 May 2011 Walter L. Warnick, Ph.D. Director, Office of Scientific and Technical Information U.S. Department of Energy Multilingual WorldWideScience.org: International Collaboration Speeds Advances in E-Science Slide02 What Is WorldWideScience.org? * A search engine covering national scientific databases and R&D results from the governments of 71 countries * A tool that integrates these results and makes them searchable by a single query, then returns them in

491

INCITE grants awarded to 59 computational research projects | Argonne  

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

Synergia simulation of a bunched beam including particles (green) and self-fields (purple). Click to enlarge. Credit: James Amundson, Fermilab Synergia simulation of a bunched beam including particles (green) and self-fields (purple). Click to enlarge. Credit: James Amundson, Fermilab Synergia simulation of a bunched beam including particles (green) and self-fields (purple). Click to enlarge. Credit: James Amundson, Fermilab INCITE grants awarded to 59 computational research projects November 18, 2013 Tweet EmailPrint ARGONNE, Ill. - The U.S. Department of Energy's Office of Science announced 59 projects, promising to accelerate scientific discovery and innovation, that will share nearly 6 billion core hours on two of America's fastest supercomputers dedicated to open science. Their work will advance knowledge in critical areas, from sustainable energy technologies to the environmental consequences of energy use.

492

Reply to comment | OSTI, US Dept of Energy, Office of Scientific and  

Office of Scientific and Technical Information (OSTI)

Reply to comment Reply to comment Slide07 Submitted by gibsone on Fri, 2013-08-30 07:18 FY2010-cendi-warnick Slide07 The OSTI Corollary Premise: Science advances only if knowledge is shared Corollary: Accelerating the sharing of scientific knowledge accelerates the advancement of science Accelerating the advancement of science benefits DOE researchers, the Nation, and the world -- OSTI works on the premise that speeding and sharing knowledge will accelerate the advancement of science and thus accelerate benefits to DOE researchers, the Nation, and the world -- OSTI continually seeks to expose more of the world's STI to researchers and the public with the belief that this approach will help transform our understanding of energy and matter, and assist our researchers advance the national, economic, and energy security of the

493

Slide07 | OSTI, US Dept of Energy, Office of Scientific and Technical  

Office of Scientific and Technical Information (OSTI)

Slide07 Slide07 Slide07 The OSTI Corollary Premise: Science advances only if knowledge is shared Corollary: Accelerating the sharing of scientific knowledge accelerates the advancement of science Accelerating the advancement of science benefits DOE researchers, the Nation, and the world -- OSTI works on the premise that speeding and sharing knowledge will accelerate the advancement of science and thus accelerate benefits to DOE researchers, the Nation, and the world -- OSTI continually seeks to expose more of the world's STI to researchers and the public with the belief that this approach will help transform our understanding of energy and matter, and assist our researchers advance the national, economic, and energy security of the United States Add new comment Original

494

A SURVEY OF UNDERWATER VEHICLE NAVIGATION: RECENT ADVANCES AND  

E-Print Network [OSTI]

the value, quantity, and cost- effectiveness of scientific data obtained with these vehicles. This paperA SURVEY OF UNDERWATER VEHICLE NAVIGATION: RECENT ADVANCES AND NEW CHALLENGES James C. Kinsey Ryan M. Eustice Louis L. Whitcomb Department of Mechanical Engineering The Johns Hopkins University

Eustice, Ryan

495

Techniques and tools for measuring energy efficiency of scientific software applications  

E-Print Network [OSTI]

The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy use and cost. Energy-efficiency has thus become an important concern in scientific fields such as High Energy Physics (HEP). There has been a growing interest in utilizing alternate architectures, such as low power ARM processors, to replace traditional Intel x86 architectures. Nevertheless, even though such solutions have been successfully used in mobile applications with low I/O and memory demands, it is unclear if they are suitable and more energy-efficient in the scientific computing environment. Furthermore, there is a lack of tools and experience to derive and compare power consumption between the architectures for various workloads, and eventually to support software optimizations for energy efficiency. To that end, we have performed several physical and software-based measurements of workloads from HEP applications running o...

Abdurachmanov, David; Eulisse, Giulio; Knight, Robert; Niemi, Tapio; Nurminen, Jukka K; Nyback, Filip; Pestana, Goncalo; Ou, Zhonghong; Khan, Kashif

2014-01-01T23:59:59.000Z

496

The future of scientific ballooning  

Science Journals Connector (OSTI)

...the ground. Hence he concluded that radiation with a great penetrating power is entering...completely in the following decades on safety grounds. The only notable exceptions...increasing the capability of the existing software to compute rotationally symmetric structures...

2007-01-01T23:59:59.000Z

497

University of Arizona Research Computing 2012  

E-Print Network [OSTI]

in High Performance Computing and High Throughput Computing (HPC/HTC) and storage will greatly advance, the new Research Data Center houses our next generation of High Performance Computing (HPC), High on interdisciplinary concepts and on collaborations with industry. Our reliance on high performance computing

Lega, Joceline

498

Report for the Office of Scientific and Technical Information: Population Modeling of the Emergence and Development of Scientific Fields  

SciTech Connect (OSTI)

The accelerated development of digital libraries and archives, in tandem with efficient search engines and the computational ability to retrieve and parse massive amounts of information, are making it possible to quantify the time evolution of scientific literatures. These data are but one piece of the tangible recorded evidence of the processes whereby scientists create and exchange information in their journeys towards the generation of knowledge. As such, these tools provide a proxy with which to study our ability to innovate. Innovation has often been linked with prosperity and growth and, consequently, trying to understand what drives scientific innovation is of extreme interest. Identifying sets of population characteristics, factors, and mechanisms that enable scientific communities to remain at the cutting edge, accelerate their growth, or increase their ability to re-organize around new themes or research topics is therefore of special significance. Yet generating a quantitative understanding of the factors that make scientific fields arise and/or become more or less productive is still in its infancy. This is precisely the type of knowledge most needed for promoting and sustaining innovation. Ideally, the efficient and strategic allocation of resources on the part of funding agencies and corporations would be driven primarily by knowledge of this type. Early steps have been taken toward such a quantitative understanding of scientific innovation. Some have focused on characterizing the broad properties of relevant time series, such as numbers of publications and authors in a given field. Others have focused on the structure and evolution of networks of coauthorship and citation. Together these types of studies provide much needed statistical analyses of the structure and evolution of scientific communities. Despite these efforts, however, crucial elements of prediction have remained elusive. Building on many of these earlier insights, we provide here a coarse-grained approach to modeling the time-evolution of scientific fields mathematically, through adaptive models of contagion. That is, our models are inspired by epidemic contact processes, but take into account the social interactions and processes whereby scientific ideas spread - social interactions gleaned from close empirical study of historical cases. Variations in model parameters can increase or hamper the speed at which a field develops. In this way, models for the spread of 'infectious' ideas can be used to identify pressure points in the process of innovation that may allow for the evaluation of possible interventions by those responsible for promoting innovation, such as funding agencies. This report is organized as follows: Section 2 introduces and discusses the population model used here to describe the dynamics behind the establishment of scientific fields. The approach is based on a succinct (coarse) description of contact processes between scientists, and is a simplified version of a general class of models developed in the course of this work. We selected this model based primarily on its ability to treat a wide range of data patterns efficiently, across several different scientific fields. We also describe our methods for estimating parameter values, our optimization techniques used to match the model to data, and our method of generating error estimates. Section 3 presents brief accounts of six case studies of scientific evolution, measured by the growth in number of active authors over time, and shows the results of fitting our model to these data, including extrapolations to the near future. Section 4 discusses these results and provides some perspectives on the values and limitations of the models used. We also discuss topics for further research which should improve our ability to predict (and perhaps influence) the course of future scientific research. Section 5 provides more detail on the broad class of epidemic models developed as part of this project.

Bettencourt, L. M. A. (LANL); Castillo-Chavez, C. (Arizona State University); Kaiser, D. (MIT); Wojick, D. E. (IIA)

2006-10-04T23:59:59.000Z

499

Software License Agreement | Scientific and Technical Information Program  

Office of Scientific and Technical Information (OSTI)

License Agreement License Agreement Print page Print page Email page Email page U.S. Department of Energy Office of Scientific and Technical Information Energy Science and Technology Software Center As the Office of Scientific and Technical Information's (OSTI) Energy Science and Technology Software Center (ESTSC), we are authorized to license and distribute this software to you. Upon receipt of license fee and execution of this license, the herein identified computer software package (software and accompanying documentation) is licensed, on a non-exclusive basis, to the UNDERSIGNED for use ONLY at the site designated herein below, and is to be used in accordance with this license and with the special restrictions identified below or on the software package. DOE-funded modifications, enhancements, or conversions of this

500

Modeling aspects of human memory for scientific study.  

SciTech Connect (OSTI)

Working with leading experts in the field of cognitive neuroscience and computational intelligence, SNL has developed a computational architecture that represents neurocognitive mechanisms associated with how humans remember experiences in their past. The architecture represents how knowledge is organized and updated through information from individual experiences (episodes) via the cortical-hippocampal declarative memory system. We compared the simulated behavioral characteristics with those of humans measured under well established experimental standards, controlling for unmodeled aspects of human processing, such as perception. We used this knowledge to create robust simulations of & human memory behaviors that should help move the scientific community closer to understanding how humans remember information. These behaviors were experimentally validated against actual human subjects, which was published. An important outcome of the validation process will be the joining of specific experimental testing procedures from the field of neuroscience with computational representations from the field of cognitive modeling and simulation.

Caudell, Thomas P. (University of New Mexico); Watson, Patrick (University of Illinois - Champaign-Urbana Beckman Institute); McDaniel, Mark A. (Washington University); Eichenbaum, Howard B. (Boston University); Cohen, Neal J. (University of Illinois - Champaign-Urbana Beckman Institute); Vineyard, Craig Michael; Taylor, Shawn Ellis; Bernard, Michael Lewis; Morrow, James Dan; Verzi, Stephen J.

2009-10-01T23:59:59.000Z

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