Knowledge Management System of Institue of Mechanics, CAS
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 Publication | KEY ENGINEERING MATERIALS AND COMPUTER SCIENCE |
2011 | |
Pages | 335-340 |
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 |
Department | LMFS工程地质体力学(LEM) |
ISBN | 978-3-03785-211-8 |
URL | 查看原文 |
Indexed By | CPCI ; EI |
Language | 英语 |
Document Type | 会议论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/46856 |
Collection | 环境力学重点实验室(2009-2011) |
Corresponding Author | Liu, 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. |
Files in This Item: | Download All | |||||
File Name/Size | DocType | Version | Access | License | ||
AMR.320.335.pdf(339KB) | 开放获取 | -- | View Download |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment