Improving the Average Response Time in Collective I/O

  • Chen Jin
  • Saba Sehrish
  • Wei-keng Liao
  • Alok Choudhary
  • Karen Schuchardt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6960)

Abstract

In collective I/O, MPI processes exchange requests so that the rearranged requests can result in the shortest file system access time. Scheduling the exchange sequence determines the response time of participating processes. Existing implementations that simply follow the increasing order of file offsets do not necessary produce the best performance. To minimize the average response time, we propose three scheduling algorithms that consider the number of processes per file stripe and the number of accesses per process. Our experimental results demonstrate improvements of up to 50% in the average response time using two synthetic benchmarks and a high-resolution climate application.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Chen Jin
    • 1
  • Saba Sehrish
    • 1
  • Wei-keng Liao
    • 1
  • Alok Choudhary
    • 1
  • Karen Schuchardt
    • 2
  1. 1.Northwestern UniversityEvanstonUSA
  2. 2.Pacific Northwest National LaboratoryRichlandUSA

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