• DocumentCode
    2665448
  • Title

    Power-performance optimization using fuzzy control of simultaneous supply voltage and body biasing scaling

  • Author

    Pourshaghaghi, Hamid Reza ; De Gyvez, José Pineda

  • Author_Institution
    Electron. Syst. Group, Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2010
  • fDate
    12-15 Dec. 2010
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    Adaptive voltage scaling (AVS) leads to considerable power consumption savings in processors when maximum performance is not necessary. Simultaneous use of body biasing techniques and AVS can be used to reduce power in high performance processors without performance penalty. We present a new strategy for employing simultaneous AVS and forward body biasing (FBB) in determining the optimal trade-off between supply voltage and body bias voltage such that power consumption at a particular performance is minimized. For this purpose, an adaptive fuzzy logic controller is designed to make decision for optimal pair of supply and body bias voltage without sacrificing circuit performance. We evaluate usefulness of the method by applying it on real-time monitoring of a processor´s supply current when it executes an MPEG 2-decoding application. We achieved an average of 10.03% power reduction without performance penalty and 20.13% power saving at less than 5% performance penalty using proposed simultaneous AVS and FBB compare to fixed supply and body bias voltage.
  • Keywords
    CMOS digital integrated circuits; adaptive control; control system synthesis; fuzzy control; power aware computing; MPEG 2-decoding application; adaptive fuzzy logic controller; adaptive voltage scaling; forward body biasing; power consumption; power-performance optimization; Accuracy; Logic gates; Switches; Transconductance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-8155-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2010.5724508
  • Filename
    5724508