• DocumentCode
    2077159
  • Title

    Related studies of incremental memory statistics varying with parallel system scale

  • Author

    Hu, Yue ; Tong, Weiqin ; Cui, Yanbao ; Cai, Liangliang ; Li, Ying

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1005
  • Lastpage
    1009
  • Abstract
    In parallel computing, especially in the field of massively large scale problems, such as the complex large scale electromagnetic problems, the memory requirement is extremely huge. To understand the memory shifting pattern, when the system size alternating is crucial in optimizing or utilizing a parallel program. In this paper, an incremental memory statistic model, varying with system size, is proposed, which is also available to comprehending the entire memory requirement of a program. Based on the statistic model, the relationship of memory and time is also analyzed.
  • Keywords
    parallel programming; statistical analysis; storage management; incremental memory statistics; memory requirement; memory shifting pattern; parallel computing; parallel program; parallel system scale; statistic model; system size; Analytical models; Computational modeling; Educational institutions; Lead; incremental memory statistic model; memory shifting pattern; parallel computing; relationship of memory and time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6788-4
  • Type

    conf

  • DOI
    10.1109/PIC.2010.5687858
  • Filename
    5687858