• DocumentCode
    2799469
  • Title

    Analysis of Parallel Algorithms for Energy Conservation in Scalable Multicore Architectures

  • Author

    Korthikanti, Vijay Anand ; Agha, Gul

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Urbana Champaign, Champaign, IL, USA
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    212
  • Lastpage
    219
  • Abstract
    This paper analyzes energy characteristics of parallel algorithms executed on scalable multicore processors. Specifically, we provide a methodology for evaluating energy scalability of parallel algorithms while satisfying performance requirements. Four parallel algorithms are analyzed to illustrate our method. We study the sensitivity of our analysis to changes in parameters such as the ratio of power required for computation versus power required for communication. The results suggest that power and performance scalability of a parallel algorithm can be quite different. Our method can be used to determine how many cores to use in order to minimize energy consumption.
  • Keywords
    microprocessor chips; power aware computing; energy conservation; energy scalability; parallel algorithms; scalable multicore architectures; Algorithm design and analysis; Computer architecture; Computer science; Energy conservation; Energy consumption; Frequency; Multicore processing; Parallel algorithms; Parallel processing; Scalability; Energy; Multicore; Paralle Algorithms; Performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2009. ICPP '09. International Conference on
  • Conference_Location
    Vienna
  • ISSN
    0190-3918
  • Print_ISBN
    978-1-4244-4961-3
  • Electronic_ISBN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2009.74
  • Filename
    5362310