应用数学和力学2013，Vol.34Issue(9)：956-964,9.DOI:10.3879/j.issn.1000-0887.2013.09.009
基于多GPU的格子Boltzmann法对槽道湍流的直接数值模拟
Direct Numerical Simulation of the Wall-Bounded Turbulent Flow by Lattice Boltzmann Method Based on Multi-GPU
摘要
Abstract
The wall-bounded turbulent flow was simulated directly (DNS) by lattice Boltzmann method (LBM) through multi-GPU parallel computing.The Data-parallel SIMT (single-instruction multiple-thread) characteristic of GPU matched the parallelism of LBM well,which led to high efficiency of GPU on the LBM solver.At the same time,it brought possibility for largescale DNS on the desk-top supercomputer.In this DNS work,8 GPUs were adopted.The number of meshes of 6.7×107,which resulted in a non-dimensional mesh size of △+ =1.41 for the whole solution domain.It took only 24 hours for the GPU-LBM solver to simulate 3 × 106 LBM steps.As a result,both the mean velocity and turbulent variables,such as Reynolds stress and velocity fluctuations,agree well with the results of Moser,et al.The capacity and validity of LBM in simulating turbulent flow are verified.关键词
格子Boltzmann法/多GPU并行/槽道湍流/直接数值模拟(DNS)Key words
lattice Boltzmann method/ multi-GPU parallel computing/ wall-bounded turbulent flow/ DNS分类
通用工业技术引用本文复制引用
许丁,陈刚,王娴,李跃明..基于多GPU的格子Boltzmann法对槽道湍流的直接数值模拟[J].应用数学和力学,2013,34(9):956-964,9.基金项目
The National Natural Science Foundation of China(11242010 （）
11102150) （）
国家自然科学基金资助项目(11242010 （）
11102150) （）
中央高校基本科研业务费专项资金资助项目 （）
