%0 Journal Article
%T Acceleration of Computational Fluid Dynamics Codes on GPU<br>GPU 上计算流体力学的加速
%A DONG Ting-Xing
%A LI Xin-Liang
%A LI Sen
%A CHI Xue-Bin
%A <br>董廷星
%A 李新亮
%A 李森
%A 迟学斌
%J 计算机系统应用
%D 2011
%I 
%X 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.
%K GPU computing
%K CUDA
%K CFD<br>GPU
%K 计算
%K CUDA
%K 计算流体力学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=8F0E587161B00D1D2B421D02B17B2184&yid=9377ED8094509821&vid=A04140E723CB732E&iid=CA4FD0336C81A37A&sid=DBF54A8E2A721A6D&eid=91C9056D8E8856E0&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=15