• DocumentCode
    3471195
  • Title

    High-performance mixed-machine heterogeneous computing

  • Author

    Maheswaran, Muthucumaru ; Braun, Tracy D. ; Siegel, Howard Jay

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1998
  • fDate
    21-23 Jan 1998
  • Firstpage
    3
  • Lastpage
    9
  • Abstract
    The focus of this invited keynote paper (to be presented by H.J. Siegel) is mixed-machine heterogeneous computing, where a suite of different kinds of high-performance machines are interconnected by high-speed links. Such a system can be orchestrated to perform an application whose subtasks have diverse execution requirements. Subtasks are assigned to and executed on the machines that will result in a minimal overall execution time for the task, considering factors including inter-machine communication overhead. A conceptual model of the automatic decomposition of tasks and assignment of subtasks is presented. Examples of static and dynamic approaches to the matching and scheduling of subtasks are summarized. Some open research problems are discussed
  • Keywords
    parallel processing; performance evaluation; processor scheduling; conceptual model; diverse execution requirements; high-performance machines; high-performance mixed-machine heterogeneous computing; inter-machine communication; scheduling; Application software; Computer architecture; Concurrent computing; Dynamic scheduling; Heuristic algorithms; Indium tin oxide; Laboratories; Parallel processing; Processor scheduling; Subcontracting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1998. PDP '98. Proceedings of the Sixth Euromicro Workshop on
  • Conference_Location
    Madrid
  • Print_ISBN
    0-8186-8332-5
  • Type

    conf

  • DOI
    10.1109/EMPDP.1998.647172
  • Filename
    647172