• DocumentCode
    1715061
  • Title

    Energy efficient programmable computation

  • Author

    Chandrakasan, Anantha P. ; Srivastava, Mani B. ; Brodersen, Robert W.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1994
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    This paper describes techniques for energy efficient implementation of programmable computation. Two key approaches described here are extended voltage scaling and predictive statistical system shutdown. Results indicate that a large reduction in power consumption can be achieved over current day solutions without loss in system performance
  • Keywords
    microprocessor chips; parallel architectures; power consumption; DSP computation; energy efficient implementation; extended voltage scaling; general purpose computation; multiple processors; parallelism; power consumption reduction; predictive statistical system shutdown; programmable computation; Computer networks; Concurrent computing; Digital signal processing; Energy consumption; Energy efficiency; Hardware; Parallel processing; Throughput; Voltage; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design, 1994., Proceedings of the Seventh International Conference on
  • Conference_Location
    Calcutta
  • ISSN
    1063-9667
  • Print_ISBN
    0-8186-4990-9
  • Type

    conf

  • DOI
    10.1109/ICVD.1994.282698
  • Filename
    282698