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7th International Workshop on Parallel Tools for High Performance Computing

Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to de...

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Detalles Bibliográficos
Autores principales: Knüpfer, Andreas, Gracia, José, Nagel, Wolfgang, Resch, Michael
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-08144-1
http://cds.cern.ch/record/1968875
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author Knüpfer, Andreas
Gracia, José
Nagel, Wolfgang
Resch, Michael
author_facet Knüpfer, Andreas
Gracia, José
Nagel, Wolfgang
Resch, Michael
author_sort Knüpfer, Andreas
collection CERN
description Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to derive well performing and highly scalable codes. At the same time, the increasing complexity adds further sources of program defects. While novel programming paradigms and advanced system libraries provide solutions for some of these challenges, appropriate supporting tools are indispensable. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 7th International Parallel Tools Workshop, held in Dresden, Germany, September 3-4, 2013.  
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institution Organización Europea para la Investigación Nuclear
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spelling cern-19688752021-04-22T07:00:27Zdoi:10.1007/978-3-319-08144-1http://cds.cern.ch/record/1968875engKnüpfer, AndreasGracia, JoséNagel, WolfgangResch, Michael7th International Workshop on Parallel Tools for High Performance ComputingMathematical Physics and MathematicsCurrent advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to derive well performing and highly scalable codes. At the same time, the increasing complexity adds further sources of program defects. While novel programming paradigms and advanced system libraries provide solutions for some of these challenges, appropriate supporting tools are indispensable. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 7th International Parallel Tools Workshop, held in Dresden, Germany, September 3-4, 2013.  Springeroai:cds.cern.ch:19688752014
spellingShingle Mathematical Physics and Mathematics
Knüpfer, Andreas
Gracia, José
Nagel, Wolfgang
Resch, Michael
7th International Workshop on Parallel Tools for High Performance Computing
title 7th International Workshop on Parallel Tools for High Performance Computing
title_full 7th International Workshop on Parallel Tools for High Performance Computing
title_fullStr 7th International Workshop on Parallel Tools for High Performance Computing
title_full_unstemmed 7th International Workshop on Parallel Tools for High Performance Computing
title_short 7th International Workshop on Parallel Tools for High Performance Computing
title_sort 7th international workshop on parallel tools for high performance computing
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-08144-1
http://cds.cern.ch/record/1968875
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