基于二维结构化网格的可压缩流体并行算法研究

摘要

基于二维/轴对称高精度可压缩多相流计算流体力学方法MuSiC-CCASSIM的结构化网格部分,设计了区域并行分解方法;针对各处理器边界数据的通信,设计了阻塞式通信与非阻塞式通信并行算法;为了减少通信开销,设计了MPI/OpenMP混合并行优化算法.在天河二号超级计算机上进行了测试,每个核固定网格规模为625*250,最多调用8 192核.测试数据表明,采用MPI/OpenMP混合并行算法、纯MPI非阻塞式通信并行算法和纯MPI阻塞式通信并行算法的程序的平均并行效率分别达到86％、83％和77％,三种算法都具有良好的可扩展性.%Based on the two-dimensional/axisymmetric high-precision compressible multiphase flow computational fluid dynamics method multi-scale simulation code (MuSiC)-consistent,conservative,allspeed,sharp-interface method (CCASSIM),we propose a parallel area decomposition method to deal with structural grids.According to different communication ways of boundary data on each processor,blocking and non-blocking communication algorithms are designed respectively.We also develop a MPI /OpenMP hybrid parallel optimization algorithm to reduce communication overhead.Some numerical experiments are performed on Tianhe-2 supercomputer system with the maximum of grid cells of 1.2 ×1010 and 8 192 processors.The results show that the average parallel efficiency of the program that uses the MPI / OpenMP hybrid parallel algorithm,the pure MPI parallel algorithm with non-blocking communication,and the pure MPI parallel algorithm with blocking communication is 86％,83％ and 77％respectively.Futhermore,good scalability is also observed from the test results of the above three algorithms.