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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8730


    Title: Dynamic partitioning of loop iterations on heterogeneous PC clusters
    Authors: Yang, Chao-Tung;Shih, Wen-Chung;Tseng, Shian-Shyong
    Contributors: Department of Information Science and Applications
    Keywords: Distributed computer systems;Mathematical models;Parallel processing systems;Problem solving;Scheduling;Cluster computing;Parallel loops;PC clusters;Self-scheduling
    Date: 2008
    Issue Date: 2010-04-07 21:34:16 (UTC+8)
    Publisher: Asia University
    Abstract: Loop partitioning on parallel and distributed systems has been a critical problem. Furthermore, it becomes more difficult to deal with on the emerging heterogeneous PC cluster environments. In the past, some loop self-scheduling schemes have been proposed to be applicable to heterogeneous cluster environments. In this paper, we propose a performance-based approach, which partitions loop iterations according to the performance ratio of cluster nodes. To verify the proposed approach, a heterogeneous cluster is built, and three types of application programs are implemented to be executed in this testbed. Experimental results show that the proposed approach performs better than traditional schemes. © 2007 Springer Science+Business Media, LLC.
    Relation: Journal of Supercomputing 44:1-23
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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