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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4751

    Title: A Performance-Based Parallel Loop Self-Scheduling on Grid Environments
    Authors: Wen-Chung Shih;Chao-Tung Yang;S. S. Tseng
    Contributors: Department of Information Science and Applications
    Keywords: Parallel loop scheduling;Performance;Self-scheduling;Grid computing;Globus Toolkit
    Date: 2005
    Issue Date: 2009-11-30 16:03:24 (UTC+8)
    Publisher: Asia University
    Abstract: The effectiveness of loop self-scheduling schemes has been shown on traditional multiprocessors in the past and computing clusters in the recent years. However, parallel loop scheduling has not been widely applied to computing grids, which are characterized by heterogeneous resources and dynamic environments. In this paper, a performance-based approach, taking the two characteristics above into consideration, is proposed to schedule parallel loop iterations on grid environments. Furthermore, we use a parameter, SWR, to estimate the proportion of the workload which can be scheduled statically, thus alleviating the effect of irregular workloads. Experimental results on a grid testbed show that the proposed approach can reduce the completion time for applications with regular or irregular workloads. Consequently, we claim that parallel loop scheduling can benefit applications on grid environments.
    Relation: Network and Parallel Computing: IFIP International Conference, NPC 2005,, Lecture Notes in Computer Science
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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