• DocumentCode
    3124313
  • Title

    Statistical design for variation tolerance: key to continued Moore´s law

  • Author

    Karnik, Tanay ; De, Vivek ; Borkar, Shekhar

  • Author_Institution
    Circuit Res., Intel Labs, Hillsboro, OR, USA
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    175
  • Lastpage
    176
  • Abstract
    Future high performance microprocessor design with technology scaling beyond 90nm will face a major challenge - parameter variations. Design practice will have to change from deterministic design to statistical design for variation tolerance. This paper discusses process, voltage and temperature variations, and their impact on circuits and microarchitecture. Possible solutions to reduce the impact of parameter variations on digital and analog circuits, and to achieve higher target frequencies are also presented.
  • Keywords
    CMOS digital integrated circuits; circuit CAD; integrated circuit design; microprocessor chips; nanoelectronics; statistical analysis; tolerance analysis; CMOS technology; body bias; continued Moore´s law; high performance design; microarchitecture; microprocessor design; parameter variation; pipelining; process variations; statistical design; switching activity; technology scaling; temperature variations; variable offset cancellation technique; variation tolerance; voltage variations; CMOS logic circuits; CMOS technology; Degradation; Frequency; Microarchitecture; Microprocessors; Moore´s Law; Packaging; Temperature; Threshold voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Circuit Design and Technology, 2004. ICICDT '04. International Conference on
  • Print_ISBN
    0-7803-8528-4
  • Type

    conf

  • DOI
    10.1109/ICICDT.2004.1309939
  • Filename
    1309939