• DocumentCode
    2798537
  • Title

    Performance Modeling and Tuning Strategies of Mixed Mode Collective Communications

  • Author

    Wu, Meng-Shiou ; Kendall, Ricky A. ; Wright, Kyle ; Zhang, Zhao

  • Author_Institution
    Iowa State University Laboratory, Ames Laboratory
  • fYear
    2005
  • fDate
    12-18 Nov. 2005
  • Firstpage
    45
  • Lastpage
    45
  • Abstract
    On SMP clusters, mixed mode collective MPI communications, which use shared memory communications within SMP nodes and point-to-point communications between SMP nodes, are more efficient than conventional implementations. In a previous study, we proposed several new methods that made mixed mode collective communications significantly faster than the pure point-to-point ones. However, the optimal performance required the tuning of many parameters, which was done by testing every possible setting and was very time consuming. In this study, we propose a new performance model that considers the special characteristics of mixed mode collective communications. The model provides good predictions to reduce most settings without testing by execution. It considers both shared-memory and point-to-point communications, while existing performance models only consider the point-to-point ones. Based on this model, we develop a number of tuning strategies that reduce the overall tuning time to only 10% of previous tuning time.
  • Keywords
    Computer science; Cost function; Government; Laboratories; Machinery; Pipeline processing; Predictive models; Runtime; Testing; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference
  • Print_ISBN
    1-59593-061-2
  • Type

    conf

  • DOI
    10.1109/SC.2005.56
  • Filename
    1559997