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Description
  • Parallel reduction algorithms are frequent in high perfor- mance computing areas, thus, modern parallel programming toolkits and languages often offer support for these algorithms. This article discusses important implementation aspects of built-in support for parallel reduc- tion found in well-known OpenMP C/C++ language extension. It shows that the implementation in widely used GCC compiler is not efficient and suggests usage of custom reduction implementation improving the computational performance.
  • Parallel reduction algorithms are frequent in high perfor- mance computing areas, thus, modern parallel programming toolkits and languages often offer support for these algorithms. This article discusses important implementation aspects of built-in support for parallel reduc- tion found in well-known OpenMP C/C++ language extension. It shows that the implementation in widely used GCC compiler is not efficient and suggests usage of custom reduction implementation improving the computational performance. (en)
Title
  • Performance Analysis of Built-in Parallel Reduction’s Implementation in OpenMP C/C Language Extension
  • Performance Analysis of Built-in Parallel Reduction’s Implementation in OpenMP C/C Language Extension (en)
skos:prefLabel
  • Performance Analysis of Built-in Parallel Reduction’s Implementation in OpenMP C/C Language Extension
  • Performance Analysis of Built-in Parallel Reduction’s Implementation in OpenMP C/C Language Extension (en)
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  • RIV/70883521:28140/14:43871608!RIV15-MSM-28140___
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  • P(ED2.1.00/03.0089)
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  • 36125
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  • RIV/70883521:28140/14:43871608
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  • Extension; Language; C/C; OpenMP; Implementation; Reduction’s; Parallel; Built-in; Analysis; Performance (en)
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  • [D0662F3FE519]
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  • on-line
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  • Heidelberg
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  • Advances in Intelligent Systems and Computing. 285
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  • Jašek, Roman
  • Bližňák, Michal
  • Dulík, Tomáš
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issn
  • 2194-5357
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  • Springer-Verlag. Berlin
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  • 978-3-319-06739-1
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  • 28140
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