IMECH-IR  > 环境力学重点实验室(2009-2011)
A GPU accelerated Red-Black SOR algorithm for computational fluid dynamics problems
Liu JT(刘继棠); Ma ZS(马照松); Li SH(李世海); Zhao Y(赵颖); Liu, JT (通讯作者) Chinese Acad Sci, Institte Mech, Beijing 100190, Peoples R China.
Source PublicationKEY ENGINEERING MATERIALS AND COMPUTER SCIENCE
2011
Pages335-340
Conference NameInternational Conference on Key Engineering Materials and Computer Science (KEMCS 2011)
Conference DateAUG 06-07, 2011
Conference PlaceDalian, PEOPLES R CHINA
AbstractGPUs are high performance co-processors of CPU for scientific computing including CFD. We present an optimistic shared memory allocation strategy to solve 2D CFD problems using Red-Black SOR method on GPU with CUDA (Compute Unified Device Architecture). Lid-driven results are compared with the benchmark data. The speed up ratio of same problem size by using NVDIA GTX480 and Intel Core-Dual 3.0GHz processor is discussed, the performance of GPU is 120 times faster than the sequential code on CPU with the problem size of 756×756. Based on this work, we conclude that using the memory hierarchy properly has a key role in improving the computational performance of GPU.
Keyword(Computational Fluid Dynamics) Cfd (Graphics Processing Units) Gpu Red-black Sor Memory Hierarchy Shared Memory Allocation
DepartmentLMFS工程地质体力学(LEM)
ISBN978-3-03785-211-8
URL查看原文
Indexed ByCPCI ; EI
Language英语
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/46856
Collection环境力学重点实验室(2009-2011)
Corresponding AuthorLiu, JT (通讯作者) Chinese Acad Sci, Institte Mech, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Liu JT,Ma ZS,Li SH,et al. A GPU accelerated Red-Black SOR algorithm for computational fluid dynamics problems[C]KEY ENGINEERING MATERIALS AND COMPUTER SCIENCE,2011:335-340.
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