• DocumentCode
    2098766
  • Title

    A statistical performance simulation methodology for VLSI circuits

  • Author

    Orshansky, Michael ; Chen, James C. ; Hu, Chenming

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1998
  • fDate
    19-19 June 1998
  • Firstpage
    402
  • Lastpage
    407
  • Abstract
    A statistical performance simulation (SPS) methodology for VLSI circuits is presented. Traditional methods of worst-case corner analysis lack accuracy and Monte-Carlo simulations cannot be applied to VLSI circuits because of their complexity. SPS methodology is accurate because no statistical information about the device parameter variation is lost. It achieves efficiency by analyzing the smaller circuit blocks and generating the performance distribution for the entire circuit. Circuit evaluation at any specified performance level is possible.
  • Keywords
    VLSI; circuit analysis computing; performance evaluation; Monte-Carlo simulations; VLSI circuits; device parameter; performance distribution; statistical performance simulation; worst-case corner analysis; CMOS technology; Circuit optimization; Circuit simulation; Energy consumption; Permission; Predictive models; Principal component analysis; SPICE; Stochastic processes; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 1998. Proceedings
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-89791-964-5
  • Type

    conf

  • Filename
    724506