• DocumentCode
    3270964
  • Title

    Analysis of parallel algorithms using continuous job profiles

  • Author

    Weems, Mason L. ; Ullah, Nasr ; Gonzalez, Mario J., Jr.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    1990
  • fDate
    9-13 Dec 1990
  • Firstpage
    308
  • Lastpage
    311
  • Abstract
    The increased use of parallelism in computer systems has created the need for models which can be used to evaluate the performance of jobs executing on multiple processor systems. The paper proposes a geometric model, referred to as the continuous job profile, which reflects the allocation of resources needed to process a job. Continuous job profiles are geometric models of a job which can be used to determine how a job´s structure limits its potential speedup when executed on a multiple processor system. Job classes are analyzed and shown to provide additional information which is specific to certain classes of problems
  • Keywords
    multiprocessing systems; parallel algorithms; parallel processing; performance evaluation; continuous job profile; continuous job profiles; geometric models; job classes; multiple processor system; multiple processor systems; parallel algorithms; potential speedup; resource allocation; Algorithm design and analysis; Computer architecture; Concurrent computing; Information analysis; Parallel algorithms; Parallel processing; Power engineering computing; Resource management; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1990. Proceedings of the Second IEEE Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-2087-0
  • Type

    conf

  • DOI
    10.1109/SPDP.1990.143553
  • Filename
    143553