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000280948 037__ $$aFZJ-2016-00659
000280948 041__ $$aEnglish
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000280948 1001_ $$0P:(DE-HGF)0$$aIwainsky, Christian$$b0$$eCorresponding author
000280948 1112_ $$a21st International Conference on Parallel and Distributed Computing$$cVienna$$d2015-08-24 - 2015-08-28$$gEuro-Par 2015$$wAustria
000280948 245__ $$aHow Many Threads will be too Many? On the Scalability of OpenMP Implementations
000280948 260__ $$aBerlin, Heidelberg$$bSpringer Berlin Heidelberg$$c2015
000280948 29510 $$aEuro-Par 2015: Parallel Processing / Träff, Jesper Larsson (Editor)
000280948 300__ $$a451 - 463
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000280948 4900_ $$aLecture Notes in Computer Science$$v9233
000280948 520__ $$aExascale systems will exhibit much higher degrees of parallelism both in terms of the number of nodes and the number of cores per node. OpenMP is a widely used standard for exploiting parallelism on the level of individual nodes. Although successfully used on today’s systems, it is unclear how well OpenMP implementations will scale to much higher numbers of threads. In this work, we apply automated performance modeling to examine the scalability of OpenMP constructs across different compilers and platforms. We ran tests on Intel Xeon multi-board, Intel Xeon Phi, and Blue Gene with compilers from GNU, IBM, Intel, and PGI. The resulting models reveal a number of scalability issues in implementations of OpenMP constructs and show unexpected differences between compilers.
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000280948 7001_ $$0P:(DE-HGF)0$$aShudler, Sergei$$b1
000280948 7001_ $$0P:(DE-HGF)0$$aCalotoiu, Alexandru$$b2
000280948 7001_ $$0P:(DE-Juel1)140202$$aStrube, Alexandre$$b3
000280948 7001_ $$0P:(DE-Juel1)132163$$aKnobloch, Michael$$b4
000280948 7001_ $$0P:(DE-HGF)0$$aBischof, Christian$$b5
000280948 7001_ $$0P:(DE-HGF)0$$aWolf, Felix$$b6
000280948 773__ $$a10.1007/978-3-662-48096-0_35
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