• DocumentCode
    2257679
  • Title

    Capturing intrinsic parameter fluctuations using the PSP compact model

  • Author

    Cheng, B. ; Dideban, D. ; Moezi, N. ; Millar, C. ; Roy, G. ; Wang, X. ; Roy, S. ; Asenov, A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Glasgow, Glasgow, UK
  • fYear
    2010
  • fDate
    8-12 March 2010
  • Firstpage
    650
  • Lastpage
    653
  • Abstract
    Statistical variability (SV) presents increasing challenges to CMOS scaling and integration at nanometer scales. It is essential that SV information is accurately captured by compact models in order to facilitate reliable variability aware design. Using statistical compact model parameter extraction for the new industry standard compact model PSP, we investigate the accuracy of standard statistical parameter generation strategies in statistical circuit simulations. Results indicate that the typical use of uncorrelated normal distribution of the statistical compact model parameters may introduce considerable errors in the statistical circuit simulations.
  • Keywords
    CMOS integrated circuits; Gaussian distribution; integrated circuit design; PSP compact model; intrinsic parameter fluctuations; reliable variability aware design; statistical compact model parameter extraction; statistical variability; Benchmark testing; Circuit simulation; Doping profiles; Fluctuations; Gaussian distribution; Integrated circuit modeling; MOSFET circuits; Parameter extraction; Semiconductor device modeling; Silicon; MOSFETs; Statistical variability; mismatch; statistical compact modelling;
  • 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.2010.5457123
  • Filename
    5457123