• DocumentCode
    2801897
  • Title

    Cache-Efficient, Intranode, Large-Message MPI Communication with MPICH2-Nemesis

  • Author

    Buntinas, Darius ; Goglin, Brice ; Goodell, David ; Mercier, Guillaume ; Moreaud, Stéphanie

  • Author_Institution
    Math. & Comput. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    462
  • Lastpage
    469
  • Abstract
    The emergence of multicore processors raises the need to efficiently transfer large amounts of data between local processes. MPICH2 is a highly portable MPI implementation whose large-message communication schemes suffer from high CPU utilization and cache pollution because of the use of a double-buffering strategy, common to many MPI implementations. We introduce two strategies offering a kernel-assisted, single-copy model with support for noncontiguous and asynchronous transfers. The first one uses the now widely available vmsplice Linux system call; the second one further improves performance thanks to a custom kernel module called KNEM. The latter also offers I/OAT copy offload, which is dynamically enabled depending on both hardware cache characteristics and message size. These new solutions outperform the standard transfer method in the MPICH2 implementation when no cache is shared between the processing cores or when very large messages are being transferred. Collective communication operations show a dramatic improvement, and the IS NAS parallel benchmark shows a 25% speedup and better cache efficiency.
  • Keywords
    Linux; cache storage; message passing; Linux system; MPICH2-nemesis; cache-efficient MPI communication; double-buffering strategy; intranode MPI communication; large-message MPI communication; multicore processors; Bandwidth; Computer architecture; Computer science; Delay; Kernel; Laboratories; Mathematics; Multicore processing; Parallel processing; Pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2009. ICPP '09. International Conference on
  • Conference_Location
    Vienna
  • ISSN
    0190-3918
  • Print_ISBN
    978-1-4244-4961-3
  • Electronic_ISBN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2009.22
  • Filename
    5362448