Data-Localization Scheduling inside Processor-Cluster for Multigrain Parallel Processing (Special Issue on Parallel and Distributed Supercomputing)

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概要

• 論文の詳細を見る

• This paper proposes a data-localization scheduling scheme inside a processor-cluster for multigrain parallel processing, which hierarchically exploits parallelism among coarse-grain tasks like loops, medium-grain tasks like loop iterations and near-fine-grain tasks like statements. The proposed scheme assigns near-fine-grain or medium-grain tasks inside coarse-grain tasks onto processors inside a processor-cluster so that maximum parallelism can be exploited and inter-processor data transfer can be minimum after data-localization for coarse-grain tasks across processor-clusters. Performance evaluation on a multiprocessor system OSCAR shows that multigrain parallel processing with the proposed data-localization scheduling can reduce execution time for application programs by 10% compared with multigrain parallel processing without data-localization.

• 社団法人電子情報通信学会の論文
• 1997-04-25

著者

• Yoshida Akimasa

  Department Of Electrical Electronics And Computer Engineering Waseda University

• OGATA Wataru

  Department of Electrical, Electronics and Computer Engineering, Waseda University

• KASAHARA Hironori

  Department of Electrical, Electronics and Computer Engineering, Waseda University

• Ogata Wataru

  Department Of Electrical Electronics And Computer Engineering Waseda University

• Kasahara Hironori

  Department Of Electrical Electronics And Computer Engineering Waseda University

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• Data-Localization Scheduling inside Processor-Cluster for Multigrain Parallel Processing (Special Issue on Parallel and Distributed Supercomputing)

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