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Parallel communication optimization based on least square method for LBM

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Efficient communication is important to every parallel algorithm.A parallel communication optimization is introduced into lattice Boltzmann method(LBM).It relies on a simplified communication strategy which is implemented by least square method.After testing the improved algorithm on parallel platform,the experimental results show that compared with normal parallel lattice Boltzmann algorithm,it provides better stability,higher performance while maintaining the same accuracy.

lattice Boltzmann method(LBM)parallel computingcommunication optimization

CAO Xiao-peng、WU Pin、SHANG Wei-lie、ZHENG De-qun

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School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China

国家自然科学基金Shanghai Leading Academic Discipline Project

11002086J50103

2011

10.1007/s11741-011-0761-2

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2011.15(5)
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