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Multiparticle collision dynamics: GPU accelerated particle-based mesoscale hydrodynamic simulations
被引:47
|作者:
Westphal, E.
[1
,2
]
Singh, S. P.
[3
]
Huang, C. -C.
[3
]
Gompper, G.
[3
,4
]
Winkler, R. G.
[4
]
机构:
[1] Forschungszentrum Julich, Peter Grunberg Inst, D-52425 Julich, Germany
[2] Forschungszentrum Julich, Julich Ctr Neutron Sci, D-52425 Julich, Germany
[3] Forschungszentrum Julich, Inst Complex Syst, D-52425 Julich, Germany
[4] Forschungszentrum Julich, Inst Adv Simulat, D-52425 Julich, Germany
关键词:
Multiparticle collision dynamics;
CUDA;
GPU;
Mesoscale hydrodynamic simulations;
RED-BLOOD-CELLS;
MOLECULAR-DYNAMICS;
TRANSPORT-COEFFICIENTS;
MESOSCOPIC MODEL;
STAR POLYMERS;
FLOW;
COLLOIDS;
GENERATION;
VESICLES;
EQUATION;
D O I:
10.1016/j.cpc.2013.10.004
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
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.
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页码:495 / 503
页数:9
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