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A performance-based parallel loop scheduling on grid environments

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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.

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Authors and Affiliations

  1. Department of Computer Science, National Chiao Tung University, Hsinchu, 30010, Taiwan

    Wen-Chung Shih & Shian-Shyong Tseng

  2. High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung, 40704, Taiwan

    Chao-Tung Yang

  3. Department of Information Science and Applications, Asia University, Taichung, 41354, Taiwan

    Shian-Shyong Tseng

Authors
  1. Wen-Chung Shih
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  2. Chao-Tung Yang
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  3. Shian-Shyong Tseng
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Correspondence to Chao-Tung Yang.

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Shih, WC., Yang, CT. & Tseng, SS. A performance-based parallel loop scheduling on grid environments. J Supercomput 41, 247–267 (2007). https://doi.org/10.1007/s11227-007-0115-7

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  • DOI: https://doi.org/10.1007/s11227-007-0115-7

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