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| GPU上计算流体力学的加速 | |
| 引用本文： | 董廷星,李新亮,李森,迟学斌.GPU上计算流体力学的加速[J].计算机系统应用,2011,20(1):104-109. |
| 作者姓名： | 董廷星 李新亮 李森 迟学斌 |
| 作者单位： | 1. 中国科学院计算机网络信息中心,北京,100190;中国科学院研究生院,北京,100190 2. 中国科学院力学研究所,北京,100180 3. 中国科学院计算机网络信息中心,北京,100190 |
| 基金项目： | 基金项目:中国科学院知识创新工程青年人才领域项目(0815011103) |
| 摘 要： | 本文将计算流体力学中的可压缩的纳维叶-斯托克斯(Navier-Stokes),不可压缩的Navier-Stokes和欧拉(Euler)方程移植到NVIDIA GPU上.模拟了3个测试例子,2维的黎曼问题,方腔流问题和RAE2822型的机翼绕流.相比于CPU,我们在GPU平台上最高得到了33.2倍的加速比.为了最大程度提... |
| 关 键 词： | GPU计算 CUDA 计算流体力学 |
| 收稿时间： | 2009/4/29 0:00:00 |
| 修稿时间： | 2010/5/20 0:00:00 |
Acceleration of Computational Fluid Dynamics Codes on GPU |
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| DONG Ting-Xing,LI Xin-Liang,LI Sen and CHI Xue-Bin.Acceleration of Computational Fluid Dynamics Codes on GPU[J].Computer Systems& Applications,2011,20(1):104-109. | |
| Authors: | DONG Ting-Xing LI Xin-Liang LI Sen and CHI Xue-Bin |
| Affiliation: | Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; Graduate University of Chinese Academy of Sciences, Beijing 100190, China;LHD, Institute of Mechanics, CAS, Beijing 100180, China;Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; Graduate University of Chinese Academy of Sciences, Beijing 100190, China;Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China |
| 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. |
| Keywords: | GPU computing CUDA CFD |
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