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8th International Workshop on Parallel Tools for High Performance Computing

Numerical simulation and modelling using High Performance Computing has evolved into an established technique in academic and industrial research. At the same time, the High Performance Computing infrastructure is becoming ever more complex. For instance, most of the current top systems around the w...

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Detalles Bibliográficos
Autores principales: Niethammer, Christoph, Gracia, José, Knüpfer, Andreas, Resch, Michael, Nagel, Wolfgang
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-16012-2
http://cds.cern.ch/record/2032386
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author Niethammer, Christoph
Gracia, José
Knüpfer, Andreas
Resch, Michael
Nagel, Wolfgang
author_facet Niethammer, Christoph
Gracia, José
Knüpfer, Andreas
Resch, Michael
Nagel, Wolfgang
author_sort Niethammer, Christoph
collection CERN
description Numerical simulation and modelling using High Performance Computing has evolved into an established technique in academic and industrial research. At the same time, the High Performance Computing infrastructure is becoming ever more complex. For instance, most of the current top systems around the world use thousands of nodes in which classical CPUs are combined with accelerator cards in order to enhance their compute power and energy efficiency. This complexity can only be mastered with adequate development and optimization tools. Key topics addressed by these tools include parallelization on heterogeneous systems, performance optimization for CPUs and accelerators, debugging of increasingly complex scientific applications, and optimization of energy usage in the spirit of green IT. This book represents the proceedings of the 8th International Parallel Tools Workshop, held October 1-2, 2014 in Stuttgart, Germany – which is a forum to discuss the latest advancements in the parallel tools.
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spelling cern-20323862021-04-22T06:48:21Zdoi:10.1007/978-3-319-16012-2http://cds.cern.ch/record/2032386engNiethammer, ChristophGracia, JoséKnüpfer, AndreasResch, MichaelNagel, Wolfgang8th International Workshop on Parallel Tools for High Performance ComputingMathematical Physics and MathematicsNumerical simulation and modelling using High Performance Computing has evolved into an established technique in academic and industrial research. At the same time, the High Performance Computing infrastructure is becoming ever more complex. For instance, most of the current top systems around the world use thousands of nodes in which classical CPUs are combined with accelerator cards in order to enhance their compute power and energy efficiency. This complexity can only be mastered with adequate development and optimization tools. Key topics addressed by these tools include parallelization on heterogeneous systems, performance optimization for CPUs and accelerators, debugging of increasingly complex scientific applications, and optimization of energy usage in the spirit of green IT. This book represents the proceedings of the 8th International Parallel Tools Workshop, held October 1-2, 2014 in Stuttgart, Germany – which is a forum to discuss the latest advancements in the parallel tools.Springeroai:cds.cern.ch:20323862015
spellingShingle Mathematical Physics and Mathematics
Niethammer, Christoph
Gracia, José
Knüpfer, Andreas
Resch, Michael
Nagel, Wolfgang
8th International Workshop on Parallel Tools for High Performance Computing
title 8th International Workshop on Parallel Tools for High Performance Computing
title_full 8th International Workshop on Parallel Tools for High Performance Computing
title_fullStr 8th International Workshop on Parallel Tools for High Performance Computing
title_full_unstemmed 8th International Workshop on Parallel Tools for High Performance Computing
title_short 8th International Workshop on Parallel Tools for High Performance Computing
title_sort 8th international workshop on parallel tools for high performance computing
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-16012-2
http://cds.cern.ch/record/2032386
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