Home >

news ヘルプ

論文・著書情報


タイトル
和文:Co-locating Graph Analytics and HPC Applications 
英文:Co-locating Graph Analytics and HPC Applications 
著者
和文: BROWN KEVIN, 松岡 聡.  
英文: Kevin Brown, Satoshi Matsuoka.  
言語 English 
掲載誌/書名
和文: 
英文:2017 IEEE International Conference on Cluster Computing (CLUSTER) 
巻, 号, ページ         pp. 659-660
出版年月 2017年9月26日 
出版者
和文: 
英文: 
会議名称
和文:2017 IEEE International Conference on Cluster Computing (CLUSTER) 
英文:2017 IEEE International Conference on Cluster Computing (CLUSTER) 
開催地
和文: 
英文:Hawaii, Honolulu 
ファイル
DOI https://doi.org/10.1109/CLUSTER.2017.111
アブストラクト We evaluate the on-node interference caused when co-locating traditional high-performance computing applications with a big-data application. Using kernel benchmarks from the NPB suite and a state-of-art graph analytics code, we explore different process placements and effects they have on application performance. Our results show that the most memory intensive HPC application (MG) experienced the highest performance variation during co-location.
受賞情報 Best Poster

©2007 Institute of Science Tokyo All rights reserved.