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000845264 0247_ $$2doi$$a10.1007/978-3-319-78054-2_23
000845264 0247_ $$2ISSN$$a0302-9743
000845264 0247_ $$2ISSN$$a1611-3349
000845264 0247_ $$2Handle$$a2128/18236
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000845264 037__ $$aFZJ-2018-02545
000845264 082__ $$a004
000845264 1001_ $$0P:(DE-Juel1)132124$$aHalver, Rene$$b0
000845264 1112_ $$a12th International Conference on Parallel Processing and Applied Mathematics$$cLublin$$d2017-09-10 - 2017-09-13$$gPPAM 2017$$wPoland
000845264 245__ $$aBenchmarking Molecular Dynamics with OpenCL on Many-Core Architectures
000845264 260__ $$aCham$$bSpringer International Publishing$$c2018
000845264 29510 $$aParallel Processing and Applied Mathematics / Wyrzykowski, Roman (Editor)  [0000-0003-1724-1786]   ; Cham : Springer International Publishing, 2018, Chapter 23 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-78053-5=978-3-319-78054-2 ; doi:10.1007/978-3-319-78054-2
000845264 300__ $$a244 - 253
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000845264 4900_ $$aLecture Notes in Computer Science$$v10778
000845264 520__ $$aMolecular Dynamics (MD) is a widely used tool for simulations of particle systems with pair-wise interactions. Since large scale MD simulations are very demanding in computation time, parallelisation is an important factor. As in the current HPC environment different heterogeneous computing architectures are emerging, a benchmark tool for a representative number of these architectures is desirable. OpenCL as a platform-overarching standard provides the capabilities for such a benchmark. This paper describes the implementation of an OpenCL MD benchmark code and discusses the results achieved on different types of computing hardware.
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000845264 7001_ $$0P:(DE-Juel1)132142$$aHomberg, Wilhelm$$b1
000845264 7001_ $$0P:(DE-Juel1)132274$$aSutmann, Godehard$$b2$$eCorresponding author
000845264 773__ $$a10.1007/978-3-319-78054-2_23
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