• DocumentCode
    2256601
  • Title

    Energy-efficient task allocation and scheduling for multi-mode MPSoCs under lifetime reliability constraint

  • Author

    Huang, Lin ; Xu, Qiang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China
  • fYear
    2010
  • fDate
    8-12 March 2010
  • Firstpage
    1584
  • Lastpage
    1589
  • Abstract
    In this paper, we consider energy minimization for multiprocessor system-on-a-chip (MPSoC) under lifetime reliability constraint of the system, which has become a serious concern for the industry with technology scaling. As today´s complex embedded systems typically have multiple execution modes, we first identify a set of ??good?? task allocation and schedules for each execution mode in terms of lifetime reliability and/or energy consumption, and then we introduce novel techniques to obtain an optimal combination of these single-mode solutions, which is able to minimize the energy consumption of the entire multi-mode system while satisfying given lifetime reliability constraint. Experimental results on several hypothetical MPSoC platforms with various task graphs demonstrate the effectiveness of the proposed approach.
  • Keywords
    constraint theory; multiprocessing systems; power aware computing; processor scheduling; reliability theory; system-on-chip; energy efficient task allocation; energy minimization; lifetime reliability constraint; multimode MPSoC; multiprocessor system-on-a-chip; scheduling; task allocation; Consumer electronics; Dynamic voltage scaling; Embedded system; Energy consumption; Energy efficiency; Job shop scheduling; Laboratories; Multiprocessing systems; Processor scheduling; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2010
  • Conference_Location
    Dresden
  • ISSN
    1530-1591
  • Print_ISBN
    978-1-4244-7054-9
  • Type

    conf

  • DOI
    10.1109/DATE.2010.5457063
  • Filename
    5457063