National Changhua University of Education Institutional Repository : Item 987654321/11713
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6498/11670
造访人次 : 25640715      在线人数 : 253
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻


题名: Using Hybrid MPI and OpenMP Programming to Optimize Communications in Parallel Loop Self-Scheduling Schemes for Multicore PC Clusters
作者: Wu, Chao-Chin;Lai, Lien-Fu;Yang, Chao-Tung;Chiu, Po-Hsun
贡献者: 資訊工程學系
关键词: Parallel loop scheduling;Cluster computing;Multicore architecture;MPI programming;OpenMP programming;Hybrid programming
日期: 2012-04
上传时间: 2012-07-02T02:03:52Z
出版者: Springer Netherlands
摘要: Recently, a series of parallel loop self-scheduling schemes have been proposed, especially for heterogeneous cluster systems. However, they employed the MPI programming model to construct the applications without considering whether the computing node is multicore architecture or not. As a result, every processor core has to communicate directly with the master node for requesting new tasks no matter the fact that the processor cores on the same node can communicate with each other through the underlying shared memory. To address the problem of higher communication overhead, in this paper we propose to adopt hybrid MPI and OpenMP programming model to design two-level parallel loop self-scheduling schemes. In the first level, each computing node runs an MPI process for inter-node communications. In the second level, each processor core runs an OpenMP thread to execute the iterations assigned for its resident node. Experimental results show that our method outperforms the previous works.
關聯: Journal of Supercomputing, 60(1):31-61
显示于类别:[資訊工程學系] 期刊論文


档案 大小格式浏览次数



DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈