Acceleration of Computational Fluid Dynamics Codes on GPU
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    Abstract:

    Computational Fluid Dynamic (CFD) codes based on incompressible Navier-Stokes, compressible Euler and compressible Navier-Stokes solvers are ported on NVIDIA GPU. As validation test, we have simulated a two-dimension cavity flow, Riemann problem and a transonic flow over a RAE2822 airfoil. Maximum 33.2x speedup is reported in our test. To maximum the GPU code performance, we also explore a number of GPU-specific optimization strategies. It demonstrates GPU code gives the expected results compared CPU code and experimental result and GPU computing has good compatibility and bright future.

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董廷星,李新亮,李森,迟学斌. GPU 上计算流体力学的加速.计算机系统应用,2011,20(1):104-109

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  • Received:April 29,2009
  • Revised:May 20,2010
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