Smoothed particle hydrodynamics method for free surface flow based on MPI parallel computing

被引:1
|
作者
Long, Sifan [1 ]
Wong, Kelvin K. L. [2 ]
Fan, Xiaokang [1 ]
Guo, Xiaowei [3 ,4 ]
Yang, Canqun [1 ,5 ]
机构
[1] Natl Univ Def Technol, Coll Comp, Changsha, Peoples R China
[2] Cent South Univ, Sch Comp, Changsha, Peoples R China
[3] Natl Univ Def Technol, Inst Quantum Informat, Changsha, Peoples R China
[4] Natl Univ Def Technol, State Key Lab High Performance Comp, Changsha, Peoples R China
[5] Natl Supercomp Ctr Tianjin, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
smoothed particle hydrodynamics; massively parallel; parallelDualSPHysics; communication optimization; computational fluid dynamics; IMPLEMENTATION;
D O I
10.3389/fphy.2023.1141972
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In the field of computational fluid dynamics (CFD), smoothed particle hydrodynamics (SPH) is very suitable for simulating problems with large deformation, free surface flow and other types of flow scenarios. However, traditional smoothed particle hydrodynamics methods suffer from the problem of high computation complexity, which constrains their application in scenarios with accuracy requirements. DualSPHysics is an excellent smoothed particle hydrodynamics software proposed in academia. Based on this tool, this paper presents a largescale parallel smoothed particle hydrodynamics framework: parallelDualSPHysics, which can solve the simulation of large-scale free surface flow. First, an efficient domain decomposition algorithm is proposed. And the data structure of DualSPHysics in a parallel framework is reshaped. Secondly, we proposed a strategy of overlapping computation and communication to the parallel particle interaction and particle update module, which greatly improves the parallel efficiency of the smoothed particle hydrodynamics method. Finally, we also added the pre-processing and post-processing modules to enable parallelDualSPHysics to run in modern high performance computers. In addition, a thorough evaluation shows that the 3 to 120 million particles tested can still maintain more than 90% computing efficiency, which demonstrates that the parallel strategy can achieve superior parallel efficiency.
引用
收藏
页数:17
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