单相流动数值模拟的SIMPLE算法在GPU上的实现
摘要
Based on SIMPLE arithmetic in a stageered grid system, Compute Unified Device Architecture (CUDA) was used to design and implement direct numerical simulation (DNS) on graphics processing units (GPU). High Reynolds number cavity flow was simulated on NVIDIA GTX 295, about 50 fold speedup of one GPU and 150 fold speedup of four GPUs over that of one core of the Intel Xeon 5430 CPU was achieved. The simulation results agreed with the literature data well. GPU accelerated DNS for high-accuracy and large-scale turbulent flow has a broad application prospect.
引用本文（GB/T 7714）
Wei Ge, Jinghai Li, Jian Wang, 等. 单相流动数值模拟的SIMPLE算法在GPU上的实现[J]. Chinese Science Bulletin (Chinese Version), 2010.
引文网络
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