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Title:
A GPU accelerated Red-Black SOR algorithm for computational fluid dynamics problems
Author: Liu JT(刘继棠); Ma ZS(马照松); Li SH(李世海); Zhao Y(赵颖)
Issued Date: 2011
Conference Name: International Conference on Key Engineering Materials and Computer Science (KEMCS 2011)
Conference Date: AUG 06-07, 2011
Conference Place: Dalian, PEOPLES R CHINA
Abstract: GPUs 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
Indexed Type: CPCI ; EI
Corresponding Author: Liu, JT (通讯作者) Chinese Acad Sci, Institte Mech, Beijing 100190, Peoples R China.
Related URLs: 查看原文
Source: KEY ENGINEERING MATERIALS AND COMPUTER SCIENCE
Publisher: TRANS TECH PUBLICATIONS LTD, LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
Language: 英语
Department: LMFS工程地质体力学(LEM)
ISBN: 978-3-03785-211-8
Content Type: 会议论文
URI: http://dspace.imech.ac.cn/handle/311007/46856
Appears in Collections:环境力学重点实验室(2009-2011)_会议论文

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Recommended Citation:
Liu JT,Ma ZS,Li SH,et al. A GPU accelerated Red-Black SOR algorithm for computational fluid dynamics problems[C]. 见:International Conference on Key Engineering Materials and Computer Science (KEMCS 2011). Dalian, PEOPLES R CHINA. AUG 06-07, 2011.http://www.scientific.net/AMR.320.335
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