中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Synchronization Mechanism between CUDA Blocks for GPU

文献类型:会议论文

作者Wang, Bingru; Feng, Jun; Wang F(王锋); Zhang, Changyou
出版日期2017
会议名称2nd International Conference on Control, Automation and Artificial Intelligence (CAAI)
会议日期June 25-26, 2017
会议地点Sanya, CHINA
关键词GPU synchronization mechanism SSSP parallel computing delta-stepping CUDA
页码251-254
通讯作者Feng, Jun
中文摘要GPU(Graphic Processing Unit) provides a promising solution with massive threads and its advantage is high performance computing. The emergence of CUDA(Compute Unified Device Architecture) opens the door of using GPU's powerful computing power. However, because of the limitation of CUDA itself, direct communication is not supported between SMs(streaming multiprocessors) on GPU. It is time-consuming by atomic operation or barrier synchronization. A synchronization mechanism has been proposed in this paper, that is, on the premise of result available, the times of kernel launched should be reduced. Each kernel launched, it should be computed enough on GPU, the results back to the CPU. Based on SSSP, the validity of this method is illustrated by delta-stepping. For facebook dataset, compared with atomic operation, the speedup ratio is about 1.8. For New York map dataset, compared with atomic operation and barrier synchronization, the speedup ratio is about 9.3 and 1.7 separately.
收录类别CPCI(ISTP)
产权排序3
会议主办者Sci & Engn Res Ctr
会议录PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017)
会议录出版者ATLANTIS PRESS
会议录出版地PARIS
语种英语
ISSN号1951-6851
WOS记录号WOS:000426676200056
源URL[http://ir.sia.cn/handle/173321/21555]  
专题沈阳自动化研究所_数字工厂研究室
作者单位1.Institute of Software, Chinese Academy of Science, Beijing, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
3.Shijiazhuang Tiedao University, Shijiazhuang, China
推荐引用方式
GB/T 7714
Wang, Bingru,Feng, Jun,Wang F,et al. A Synchronization Mechanism between CUDA Blocks for GPU[C]. 见:2nd International Conference on Control, Automation and Artificial Intelligence (CAAI). Sanya, CHINA. June 25-26, 2017.

入库方式: OAI收割

来源:沈阳自动化研究所

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