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Integrating SDN-Enhanced MPI with Job Scheduler to Support Shared Clusters

In: Sustained Simulation Performance 2018 and 2019

Author

Listed:
  • Keichi Takahashi

    (Nara Institute of Science and Technology)

  • Susumu Date

    (Cybermedia Center, Osaka University)

  • Yasuhiro Watashiba

    (Cybermedia Center, Osaka University)

  • Yoshiyuki Kido

    (Cybermedia Center, Osaka University)

  • Shinji Shimojo

    (Cybermedia Center, Osaka University)

Abstract

SDN-enhanced MPI is a framework that integrates the network programmability of Software-Defined Networking (SDN) with Message Passing Interface (MPI). The aim of SDN-enhanced MPI is to improve MPI communication performance by dynamically steering the traffic within the interconnect based on the communication pattern of applications. A major limitation in the current implementation of SDN-enhanced MPI is that multiple jobs cannot be executed concurrently. This paper removes this limitation by integrating SDN-enhanced MPI with the job scheduler of the cluster. Specifically, we have developed a plugin for the job scheduler that collects and reports the job information to the interconnect controller. A preliminary evaluation demonstrated that applications could gain up to 2.56× speedup in communication.

Suggested Citation

  • Keichi Takahashi & Susumu Date & Yasuhiro Watashiba & Yoshiyuki Kido & Shinji Shimojo, 2020. "Integrating SDN-Enhanced MPI with Job Scheduler to Support Shared Clusters," Springer Books, in: Michael M. Resch & Yevgeniya Kovalenko & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi (ed.), Sustained Simulation Performance 2018 and 2019, pages 149-159, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-39181-2_13
    DOI: 10.1007/978-3-030-39181-2_13
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