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单相流动数值模拟的SIMPLE算法在GPU上的实现
王健; 许明; 葛蔚; 李静海
2010
Source Publication科学通报
Issue20Pages:1979-1986
Abstract基于交错网格的SIMPLE算法,利用CUDA(compute unified device architecture)技术进行了图形处理器(GPU)上的直接数值模拟(DNS).将高雷诺数方腔流作为研究实例,在NVIDIA GTX295显卡的单个和4个GPU上的计算速度最高可分别达Intel Xeon5430CPU之单核的50和150倍,与其他模拟结果的对比表明了上述计算的合理性,并展示了采用GPU实现高精度大规模的湍流计算的前景.
Keyword单相流动 直接数值模拟 Cuda Gpu 并行计算
Indexed ByCSCD
CSCD IDCSCD:4068466
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Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/10437
Collection研究所(批量导入)
Recommended Citation
GB/T 7714
王健,许明,葛蔚,等. 单相流动数值模拟的SIMPLE算法在GPU上的实现[J]. 科学通报,2010(20):1979-1986.
APA 王健,许明,葛蔚,&李静海.(2010).单相流动数值模拟的SIMPLE算法在GPU上的实现.科学通报(20),1979-1986.
MLA 王健,et al."单相流动数值模拟的SIMPLE算法在GPU上的实现".科学通报 .20(2010):1979-1986.
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