基于GPU的单、两相流CFD求解

S. R. Reddy, J. Sebastian, S. M. Miyyadad, R. Banerjee, N. Sivadasan
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引用次数: 0

摘要

在图形处理单元(GPU)平台上实现了单相流和两相流CFD求解器的并行化。对单相流和两相流求解器的一些标准基准测试用例进行了数值模拟。该公式基于正则笛卡儿网格和配置网格上的有限体积法和SMAC算法。在多相流求解器中,采用流体体积法对界面进行跟踪。压力泊松方程是求解器中最耗时的部分,因此这部分被导入到GPU中。压力泊松方程用传统的高斯西德尔法求解。目前,现代图形硬件有数百个核心,可以有效地用于CFD求解器并行计算。结果与两个案例的参考解进行了验证。通过CPU仿真和GPU仿真的比较,估计了所得到的计算速度和精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single and two phase flow CFD solvers using GPU
We present parallelization of single and two phase flow CFD solvers on a graphics processing unit (GPU) platform. Numerical simulations are done for some standard benchmark test cases for both single and two phase flow solvers. The formulation is based on finite volume method with SMAC algorithm on regular cartesian and collocated grid. Volume of fluid method in used for tracking the interface in multiphase flow solver. Pressure poisson equation is the most time consuming part of the solvers and hence this part is imported on to GPU. Pressure Poisson equation is solved by the conventional Gauss siedel method. Present day modern graphics hardware has several hundred cores which can be effectively used by CFD solvers to parallelize the computation. The results are validated against the reference solutions of the teat cases. A comparison is done between CPU and GPU simulations to estimate the computational acceleration and accuracy obtained.
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