中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimal Many-to-Many Personalized Concurrent Communication in RapidIO-based Fat-trees

文献类型:会议论文

作者Shu Lin; Hao,Jie; Song,Yafang; Li,Chengcheng; Wang,Donglin; Shu,Lin
出版日期2016-05
会议日期2016.05.30-2016.06.01
会议地点Shanghai,China
关键词Many-to-many Personalized Rapidio Fat-tree Node-level Congestion-avoidance
英文摘要Many-to-many (M-to-N) personalized concurrent communication is one of the most dense traffic patterns in high performance computing system. Each node in group M sends different messages to every node in group N. Hot-spot congestions are the bottleneck of this communication pattern. In this paper, a proactive congestion avoidance mechanism is proposed to optimize many-to-many personalized concurrent traffic in RapidIO-based fat-trees. And a heuristic scheme of virtual destination is proposed to deal with the case that messages from each node in M group to every other node in N group are not of the same size. Our proactive congestion avoidance mechanism has been used in a practical network, which is a part of digital signal processing platform for “the TianLai Pathfinder”. The network delay is effectively improved, reducing from about 34.784 us to 1.484 us. And the communication overhead is decreased by twice.
会议录17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2016)
源URL[http://ir.ia.ac.cn/handle/173211/11730]  
专题自动化研究所_国家专用集成电路设计工程技术研究中心
通讯作者Shu,Lin
作者单位Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Shu Lin,Hao,Jie,Song,Yafang,et al. Optimal Many-to-Many Personalized Concurrent Communication in RapidIO-based Fat-trees[C]. 见:. Shanghai,China. 2016.05.30-2016.06.01.

入库方式: OAI收割

来源:自动化研究所

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