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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8564


    Title: Dynamic partitioning of loop iterations on heterogeneous PC clusters
    Authors: Yang, CT (Yang, Chao-Tung);Shih, WC (Shih, Wen-Chung);Tseng, SS (Tseng, Shian-Shyong)
    Contributors: Department of Information Science and Applications
    Keywords: parallel loops;self-scheduling;cluster computing;MPI programming;heterogeneous;PC clusters;PRACTICAL SCHEDULING SCHEME;PARALLEL;ENVIRONMENTS
    Date: 2008-04
    Issue Date: 2010-03-26 11:03:10 (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.
    Relation: JOURNAL OF SUPERCOMPUTING 44 (1): 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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