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GPU平台上的叶轮机械CFD加速计算

鞠鹏飞 宁方飞

鞠鹏飞, 宁方飞. GPU平台上的叶轮机械CFD加速计算[J]. 航空动力学报, 2014, (5): 1154-1162.
引用本文: 鞠鹏飞, 宁方飞. GPU平台上的叶轮机械CFD加速计算[J]. 航空动力学报, 2014, (5): 1154-1162.
JU Peng-fei, NING Fang-fei. Accelerated CFD computing of turbomachinery on GPU platform[J]. Journal of Aerospace Power, 2014, (5): 1154-1162.
Citation: JU Peng-fei, NING Fang-fei. Accelerated CFD computing of turbomachinery on GPU platform[J]. Journal of Aerospace Power, 2014, (5): 1154-1162.

GPU平台上的叶轮机械CFD加速计算

详细信息
    作者简介:

    鞠鹏飞(1987- ),男,山东东营人,博士生,主要从事叶轮机械气体动力学研究.

  • 中图分类号: V211.3

Accelerated CFD computing of turbomachinery on GPU platform

  • 摘要: 通过数据并行的方式对一个成熟的叶轮机多块网格气动计算程序(MAP)进行了并行化处理,利用计算统一设备架构(CUDA)技术实现了在图形处理单元(GPU)上的并行计算.保留了原程序中的2阶空间迎风格式和隐式时间离散格式,并采用了隐式迭代对线性系统进行求解.经过2个叶轮机械算例的测试,与在传统的中央处理器(CPU)上运行的原程序相比,在计算结果完全一致的前提下,单GPU的计算速度最高可达单CPU计算速度的8.89倍,与四核并行的CPU计算相比可以得到2.39倍的加速.

     

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出版历程
  • 收稿日期:  2013-03-16
  • 刊出日期:  2014-05-28

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