• DocumentCode
    1845627
  • Title

    A novel approach to statistical simulation of ICS affected by non-linear variabilities

  • Author

    Biagetti, Giorgio ; Crippa, Paolo ; Curzi, Alessandro ; Orcioni, Simone ; Turchetti, Claudio

  • Author_Institution
    Dipt. di Elettron., Intell. Artificiale e Telecomun., Univ. Politec. delle Marche, Ancona
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    2985
  • Lastpage
    2988
  • Abstract
    This paper presents a methodology for statistical simulation of non-linear integrated circuits affected by device mismatch. This simulation technique is aimed at helping designers maximize yield, since it can be orders of magnitude faster than other readily available methods, e.g. Monte Carlo. DC, AC, and transient analyses are performed by means of the stochastic modified nodal analysis, using a piecewise linearization technique with respect to the stochastic sources, around a few automatically selected points.
  • Keywords
    Monte Carlo methods; integrated circuit modelling; statistical analysis; transient analysis; AC analyses; DC analyses; Monte Carlo; device mismatch; nonlinear integrated circuits; nonlinear variabilities; piecewise linearization technique; statistical simulation; stochastic modified nodal analysis; transient analyses; Circuit optimization; Circuit simulation; Equations; Integrated circuit modeling; Integrated circuit yield; Monte Carlo methods; Performance analysis; Random variables; Sampling methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4542085
  • Filename
    4542085