• DocumentCode
    2237103
  • Title

    When Jobs Play Nice: The Case For Symbiotic Space-Sharing

  • Author

    Weinberg, Jonathan ; Snavely, Allan

  • Author_Institution
    San Diego Supercomput. Center, California Univ., San Diego, La Jolla, CA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    361
  • Lastpage
    362
  • Abstract
    Using a large HPC platform, we investigate the effectiveness of "symbiotic space-sharing", a technique that improves system throughput by executing parallel applications in combinations and configurations that alleviate pressure on shared resources. We demonstrate that relevant benchmarks commonly suffer a 10-60% penalty in runtime efficiency due to memory resource bottlenecks and up to several orders of magnitude for I/O. We show that this penalty can be often mitigated, and sometimes virtually eliminated, by symbiotic space-sharing techniques and deploy a prototype scheduler that leverages these findings to improve system throughput by 20%
  • Keywords
    parallel machines; processor scheduling; resource allocation; storage management; I/O bottleneck; large HPC platform; memory resource bottleneck; parallel application; prototype scheduler; resources sharing; symbiotic space-sharing; system throughput; Benchmark testing; Computer aided software engineering; File systems; Processor scheduling; Resource management; Runtime; Supercomputers; Symbiosis; Throughput; Virtual prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Distributed Computing, 2006 15th IEEE International Symposium on
  • Conference_Location
    Paris
  • ISSN
    1082-8907
  • Print_ISBN
    1-4244-0307-3
  • Type

    conf

  • DOI
    10.1109/HPDC.2006.1652184
  • Filename
    1652184