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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...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2014
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-08144-1 http://cds.cern.ch/record/1968875 |
_version_ | 1780944711297531904 |
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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. |
id | cern-1968875 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
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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