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Performance analysis of MPI collective operations

机译：MPI集体运营的绩效分析

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摘要

Previous studies of application usage show that the performance of collective communications are critical for high-performance computing. Despite active research in the field, both general and feasible solution to the optimization of collective communication problem is still missing.
机译：先前对应用程序使用情况的研究表明，集体通信的性能对于高性能计算至关重要。尽管在该领域进行了积极的研究，但是仍然缺少用于优化集体通信问题的通用和可行解决方案。

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  • 来源
    《Cluster Computing》 |2007年第2期|127-143|共17页
  • 作者

    Jelena Pje?ivac-Grbovi?; Thara Angskun; George Bosilca; Graham E. Fagg; Edgar Gabriel; Jack J. Dongarra;

  • 作者单位

    Innovative Computing Laboratory Computer Science Department University of Tennessee 1122 Volunteer Blvd. Knoxville TN 37996-3450 USA;

    Innovative Computing Laboratory Computer Science Department University of Tennessee 1122 Volunteer Blvd. Knoxville TN 37996-3450 USA;

    Innovative Computing Laboratory Computer Science Department University of Tennessee 1122 Volunteer Blvd. Knoxville TN 37996-3450 USA;

    Innovative Computing Laboratory Computer Science Department University of Tennessee 1122 Volunteer Blvd. Knoxville TN 37996-3450 USA;

    Department of Computer Science University of Houston 501 Philip G. Hoffman Hall Houston TX 77204-3010 USA;

    Innovative Computing Laboratory Computer Science Department University of Tennessee 1122 Volunteer Blvd. Knoxville TN 37996-3450 USA;

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  • 正文语种 eng
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  • 关键词

    MPI collective communication; Performance modeling; Parallel communication models; Hockney; LogP; LogGP; PLogP;

    机译：MPI集体通信;性能建模;并行通信模型;Hockney;LogP;LogGP;PLogP;

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