气体动力学直接模拟Monte Carlo的高效GPU并行计算
High Performance GPU Parallel Computing of Gas Dynamic by Direct Simulation Monte Carlo
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摘要: 实现了基于计算统一设备架构(CUDA)的直接模拟Monte Carlo(DSMC)并行算法,改进了原有多图形处理器(GPU)数据之间传输并行算法,数值模拟计算二维Couette流和二维顶盖驱动方腔流,定量比较了CPU、单GPU和多GPU并行计算的结果和计算时间.结果表明单GPU并行计算相对CPU计算的加速效果可以达到10~30倍,双GPU并行计算加速效果可以达到40~60倍,多GPU并行计算的加速效率接近100%,且计算精度能够得到良好保证.Abstract: Parallel computing of direct simulation Monte Carlo (DSMC) based on compute unified device architecture (CUDA) is developed and improved data transmission in multi-GPU parallel computing is devoted to promote parallel efficiency.A two-dimensional Couette flow and lid-driven cavity flow by CPU,single GPU and double GPU parallel computing are simulated,respectively.Precision of results by GPU is consistent with that by CPU and speedup ratio can reach to 10~30 by single GPU acceleration and 40~60 by double GPU acceleration.Speedup efficiency by multi-GPU is approximated to 100%.
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