Petascale computing : algorithms and applications / edited by David A. Bader.

Contributor(s): Bader, David AMaterial type: TextTextSeries: Chapman & Hall/CRC computational science series: Publisher: Boca Raton : Chapman & Hall/CRC, c2008Description: xlvi, 565 p., [8] p. of plates : ill. (some col.), maps (some col.) ; 25 cmISBN: 9781584889090 (alk. paper); 1584889098 (alk. paper)Subject(s): Petaflops computers | Parallel processing (Electronic computers)DDC classification: 004/.35 LOC classification: QA76.88 | .P475 2008Online resources: Table of contents only | Publisher description
Contents:
Performance Evaluation, Modeling, and Prediction for Petaflops Systems. Performance Productivity on Current HPC Systems. Towards High Productivity Languages for Peta-Scale Computing. Components for Efficient FSI Simulations. Petascale Computing:Impact on Future NASA Missions. Annotations for Performance Portability. Examples of Fault Tolerant Algorithms in Linear Algebra. Holistic Fault Tolerance. Petascale Software Architecture. Adaptive Algorithms in Petascale Computing: Challenges. SomeNumerical Aspects of Peta-Scale Computing for PDE. Graph-based Petascale Software Architecture. Cell Processor Properties and Impacts on Petascale Computing. Performance Evaluation with the HPCC Benchmarks as a Guide on the way to Petascale Systems. Beyond the Earth Simulator. Scalable Algorithms and Novel Paradigms for Petascale Simulation. Flexibility and Performance in Numerical Software. Multilayered Software Architecture in Petascale Computing. The Shrinking SMP Box. Petascale FE Simulations. From Molecule to Man: Computing Life. Characterizing Performance, Power Tradeoffs for Sparse Scientific Codes. Large Scale Computations of Turbulent Flow. Petascale Computing for Large Scale Graph Problems. Open Issues in Building a Petascale System. Performance Analysis Tools for Petaflop Systems. Performance Studies of PDE Codes Based on Mixed Python-Fortran-C Programming.
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QA76.88 .P475 2008 (Browse shelf (Opens below)) 1 Available STACKS 51952000075202
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QA76.88 .P475 2008 (Browse shelf (Opens below)) 1 Available STACKS 51952000052067

Includes bibliographical references and index.

Performance Evaluation, Modeling, and Prediction for Petaflops Systems. Performance Productivity on Current HPC Systems. Towards High Productivity Languages for Peta-Scale Computing. Components for Efficient FSI Simulations. Petascale Computing:Impact on Future NASA Missions. Annotations for Performance Portability. Examples of Fault Tolerant Algorithms in Linear Algebra. Holistic Fault Tolerance. Petascale Software Architecture. Adaptive Algorithms in Petascale Computing: Challenges. SomeNumerical Aspects of Peta-Scale Computing for PDE. Graph-based Petascale Software Architecture. Cell Processor Properties and Impacts on Petascale Computing. Performance Evaluation with the HPCC Benchmarks as a Guide on the way to Petascale Systems. Beyond the Earth Simulator. Scalable Algorithms and Novel Paradigms for Petascale Simulation. Flexibility and Performance in Numerical Software. Multilayered Software Architecture in Petascale Computing. The Shrinking SMP Box. Petascale FE Simulations. From Molecule to Man: Computing Life. Characterizing Performance, Power Tradeoffs for Sparse Scientific Codes. Large Scale Computations of Turbulent Flow. Petascale Computing for Large Scale Graph Problems. Open Issues in Building a Petascale System. Performance Analysis Tools for Petaflop Systems. Performance Studies of PDE Codes Based on Mixed Python-Fortran-C Programming.

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