• DocumentCode
    2062597
  • Title

    A scalability metric for algorithm-machine on NOW and MPP

  • Author

    Yongchang, Ji ; Hong, An ; Weiqun, Ding ; Guoliang, Chen

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    1
  • fYear
    2000
  • fDate
    14-17 May 2000
  • Firstpage
    405
  • Abstract
    Along with the rapid development of parallel processing technology and the popularity of NOW, the scalability of parallel algorithm-machine combinations, which measures the capacity of a parallel algorithm to effectively utilize an increasing number of processors, becomes more and more important. We present a new metric, called the time scale metric, to measure and evaluate the scalability of parallel algorithms and machines, and extend it to fit the characteristics of NOW. The experimental results show that the time scale metric is a practical and accurate method to evaluate the scalability of parallel algorithms on MPP and NOW.
  • Keywords
    parallel algorithms; parallel machines; software metrics; workstation clusters; MPP; NOW; experimental results; massively parallel processors; parallel algorithm; parallel machine; parallel processing; scalability metric; time scale metric; workstation network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7695-0589-2
  • Type

    conf

  • DOI
    10.1109/HPC.2000.846588
  • Filename
    846588