A GPU accelerated continuous-based discrete element method for elastodynamics analysis
文献类型:会议论文
作者 | Ma ZS(马照松)![]() ![]() ![]() ![]() |
出版日期 | 2011 |
会议名称 | International Conference on Key Engineering Materials and Computer Science (KEMCS 2011) |
会议日期 | AUG 06-07, 2011 |
会议地点 | Dalian, PEOPLES R CHINA |
通讯作者邮箱 | marze@163.com; fengchun@imech.ac.cn; liutp@imech.ac.cn; shli@imech.ac.cn |
关键词 | DEM Discrete Element Method CUDA GPU Algorithms Cloning Finite difference method Computing speed Data independence Elasto-dynamics GPU computing Parallel executions Speedup ratio |
卷号 | 320 |
页码 | 329-334 |
通讯作者 | Ma, ZS (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China. |
中文摘要 | This paper presents a GPU computing algorithm, used to accelerate the Continuous-based Discrete Element Method (CDEM). Using a NVIDIA GTX VGA card, the computing speed achieved an average 650 times speedup ratio vs. Intel Core-Dual 2.66 GHz CPU. To parallelize the CDEM algorithm, the clone node force refreshing process is separated from the elemental calculation, and is replaced by a "Node Group" force assignment process, which ensures the data independence in parallel execution. |
收录类别 | CPCI ; EI |
产权排序 | [Ma, Zhaosong; Feng, Chun; Liu, Tianping; Li, Shihai] Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China |
会议网址 | http://dx.doi.org/10.4028/www.scientific.net/AMR.320.329 |
会议录 | KEY ENGINEERING MATERIALS AND COMPUTER SCIENCE
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会议录出版者 | TRANS TECH PUBLICATIONS LTD |
学科主题 | Materials Science ; Multidisciplinary |
会议录出版地 | LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND |
语种 | 英语 |
ISSN号 | 1022-6680 |
ISBN号 | 978-3-03785-211-8 |
源URL | [http://dspace.imech.ac.cn/handle/311007/46855] ![]() |
专题 | 力学研究所_环境力学重点实验室(2009-2011) |
推荐引用方式 GB/T 7714 | Ma ZS,Feng C,Liu TP,et al. A GPU accelerated continuous-based discrete element method for elastodynamics analysis[C]. 见:International Conference on Key Engineering Materials and Computer Science (KEMCS 2011). Dalian, PEOPLES R CHINA. AUG 06-07, 2011.http://dx.doi.org/10.4028/www.scientific.net/AMR.320.329. |
入库方式: OAI收割
来源:力学研究所
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