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GPU上计算流体力学的加速
Alternative TitleAcceleration of Computational Fluid Dynamics Codes on GPU
董廷星; 李新亮; 李森; 迟学斌
Source Publication计算机系统应用
2011-01-15
Volume20Issue:1Pages:104-109
ISSN1003-3254
Abstract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。为了最大程度提高代码的性能,针对GPU平台上探索了几种优化策略。和CPU以及实验结果对比表明,利用计算流体力学在GPU平台上能够得到预想的结果,具有很好的应用前景。
Other AbstractComputational 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
KeywordGpu计算 Cuda 计算流体力学
Subject Area力学
URL查看原文
Language中文
Funding Organization中国科学院知识创新工程青年人才领域项目(0815011103)
DepartmentLHD可压缩湍流;LHD应用等离子体力学(CPCR)
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/45181
Collection高温气体动力学国家重点实验室
Corresponding Author董廷星
Recommended Citation
GB/T 7714
董廷星,李新亮,李森,等. GPU上计算流体力学的加速[J]. 计算机系统应用,2011,20(1):104-109.
APA 董廷星,李新亮,李森,&迟学斌.(2011).GPU上计算流体力学的加速.计算机系统应用,20(1),104-109.
MLA 董廷星,et al."GPU上计算流体力学的加速".计算机系统应用 20.1(2011):104-109.
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