• DocumentCode
    2376974
  • Title

    Evaluating the Performance of Parallel Computer System Using Recursive Models

  • Author

    Oguike, O.E. ; Agu, M.N. ; Echezona, S.C. ; Ebem, D.U.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Nigeria, Nsukka, Nigeria
  • fYear
    2010
  • fDate
    17-19 Nov. 2010
  • Firstpage
    471
  • Lastpage
    476
  • Abstract
    A shared memory parallel computer system can be considered as a parallel computer system with a shared single ready queue. This can depict a single queue parallel server queuing model. Some models that are based on probability density function have been used to model the performance of the queuing system. This paper uses recursive to evaluate the performance of a single queue parallel server queuing model of compute intensive applications of a parallel computer system. The recursive models that this paper uses are efficient models because each recursive model makes one recursive call.
  • Keywords
    parallel processing; probability; queueing theory; recursive functions; shared memory systems; parallel computer system; parallel server; probability density function; queuing model; recursive model; shared memory system; compute intensive applicationr; parallel computer queuing systemt; performance metrics; recursive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation (EMS), 2010 Fourth UKSim European Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-9313-5
  • Electronic_ISBN
    978-0-7695-4308-6
  • Type

    conf

  • DOI
    10.1109/EMS.2010.85
  • Filename
    5703730