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Propagation Pattern for Moment Representation of the Lattice Boltzmann Method
IEEE Transactions on Parallel and Distributed Systems ( IF 5.3 ) Pub Date : 2021-07-21 , DOI: 10.1109/tpds.2021.3098456
John Gounley 1 , Madhurima Vardhan 2 , Erik W Draeger 3 , Pedro Valero-Lara 4 , Shirley V Moore 5 , Amanda Randles 2
Affiliation  

A propagation pattern for the moment representation of the regularized lattice Boltzmann method (LBM) in three dimensions is presented. Using effectively lossless compression, the simulation state is stored as a set of moments of the lattice Boltzmann distribution function, instead of the distribution function itself. An efficient cache-aware propagation pattern for this moment representation has the effect of substantially reducing both the storage and memory bandwidth required for LBM simulations. This article extends recent work with the moment representation by expanding the performance analysis on central processing unit (CPU) architectures, considering how boundary conditions are implemented, and demonstrating the effectiveness of the moment representation on a graphics processing unit (GPU) architecture.

中文翻译:

格子玻尔兹曼方法矩表示的传播模式

介绍了三维正则化格子玻尔兹曼方法 (LBM) 矩表示的传播模式。使用有效的无损压缩,模拟状态存储为格子玻尔兹曼分布函数的一组矩,而不是分布函数本身。这种时刻表示的有效缓存感知传播模式具有显着减少 LBM 模拟所需的存储和内存带宽的效果。本文通过扩展中央处理器 (CPU) 架构的性能分析、考虑边界条件的实现方式,并展示矩表示在图形处理单元 (GPU) 架构上的有效性,扩展了矩表示的近期工作。
更新日期:2021-08-13
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