个人计算机与桌面计算,桌面计算机上利用格子Boltzmann方法的GPU计算

最新推荐文章于 2024-05-02 10:30:33 发布

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最新推荐文章于 2024-05-02 10:30:33 发布

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文章标签：个人计算机与桌面计算

本文探讨了格子玻尔兹曼方法(LBM)与图形处理器(GPU)在桌面计算机上的联合应用背景，并深入分析了标准LBM形式及其自然并行性的原因。文中还阐述了CUDA编程模型及Kepler计算架构。通过二维绕方柱流动的数值模拟验证了GPU计算在LBM上的效能，结果显示GPU计算效率约为中央处理器(CPU)计算效率的3.4倍。

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摘要：

Development background of the combination of lattice Boltzmann method (LBM) and graphic processing unit (GPU) computing on a desktop computer was discussed. A detailed analysis was conducted of the standard LBM form and the reason of its natural parallelism. The CUDA programming model and the Kepler computing architecture used in the computing were expounded. In order to verify the application capacity of GPU computing of LBM on a desktop computer, numerical simulations of two-dimensional flow around a square cylinder were conducted, and simulation results with the finite volume method calculation results were compared. The results show that as for the problem of twodimensional flow around a square cylinder, computational efficiency of GPU computing is approximately 3.4 times of central processing unit (CPU) computing, which proved the computing capacity of GPU computing of LBM on desktop computers to universal scientific computing.

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