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有限体积格子Boltzmann方法的算法改进及性能分析

Optimization and performance analysis for code of finite volume lattice Boltzmann method
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摘要 有限体积格子Boltzmann方法(LBM)能够将标准LBM的应用范围扩展到非结构网格,但是比起标准的LBM这个方法需要更多的内存用量和计算量。针对此问题采用了优化计算顺序、简化计算方程的方法对有限体积LBM算法进行改进。科学的分析和实验的结果表明,改进后的算法能够在不增加计算量的基础上减少内存用量,在一些情况下还可以大量减少计算时间。 Finite volume lattice Boltzmann method(LBM) can extend the standard LBM to unstructured mesh,but compared with standard LBM this method suffers from higher memory consumption and poorer computational performance.In order to solve this problem,the improvement process used the methods of optimizing evaluation order and simplifying calculating equation.Scientific analysis and experimental results demonstrate that the improved algorithm results in lower memory usage without additional computation,and in some conditions it reduces much computation.
出处 《计算机应用研究》 CSCD 北大核心 2012年第10期3706-3709,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(11002086) 国家科技支撑计划资助项目(2009BAG12A01 2009BAG11B02)
关键词 有限体积法 格子BOLTZMANN 算法改进 内存优化 减少计算 finite volume lattice Boltzmann algorithm improvement memory optimizaion computation reduction
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参考文献16

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