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文章基本信息

  • 标题:Topology-Aware Strategy for MPI-IO Operations in Clusters
  • 作者:Weifeng Liu ; Jie Zhou ; Meng Guo
  • 期刊名称:Journal of Optimization
  • 电子版ISSN:2314-6486
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/2068490
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This paper presents the topology-aware two-phase I/O (TATP), which optimizes the most popular collective MPI-IO implementation of ROMIO. In order to improve the hop-bytes metric during the file access, topology-aware two-phase I/O employs the Linear Assignment Problem (LAP) for finding an optimal assignment of file domain to aggregators, an aspect which is not considered in most two-phase I/O implementations. The distribution is based on the local data stored by each process, and its main purpose is to reduce the total hop-bytes of the I/O collective operation. Therefore, the global execution time can be improved. In most of the considered scenarios, topology-aware two-phase I/O obtains important improvements when compared with the original two-phase I/O implementations.
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