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Multiparticle collision dynamics: GPU accelerated particle-based mesoscale hydrodynamic simulations

delete2014-02-01
delete49
PRE
AI
E
E. Westphal
S
Sunil P. Singh
C
Chien-Cheng Huang
G
Gerhard Gompper
R
Roland G. Winkler *
DOI:10.1016/j.cpc.2013.10.004delete
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摘要

摘要

En 中文
The Compute Unified Device Architecture (CUDA) programming language on a graphics processing unit (GPU) is exploited to develop a GPU-based simulation program for the multiparticle collision dynamics (MPC) approach, a particle-based mesoscale hydrodynamic simulation technique. The coarse-grained description of the fluid dynamics in terms of ballistic motion and local stochastic interactions of particles renders MPC inherently highly parallel. We achieve a 1-2 orders of magnitude performance gain over a comparable CPU-core version of the algorithm, depending on the implementation (single threaded or OpenMP). Various aspects of the implementation are discussed in the context of an optimized performance. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Multiparticle collision dynamics
CUDA
GPU
Mesoscale hydrodynamic simulations
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期刊

Computer Physics Communications 封面图
Computer Physics Communications
IF:
3.4
论文数:
1.2W
被引数:
3.7W

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R
research center julich
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9.9K
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H
Helmholtz Association
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论文数: 10.7W
被引数: 145
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