• DocumentCode
    913817
  • Title

    A Methodology for Worst-Case Analysis of Integrated Circuits

  • Author

    Nassif, Sani R. ; Strojwas, Andrzej J. ; Director, Stephen W.

  • Author_Institution
    Department of Electrical and Computer Engineering, Research Center for Computer-Aided Design, Carnegie-Mellon University, Pittsburgh, PA, USA
  • Volume
    5
  • Issue
    1
  • fYear
    1986
  • fDate
    1/1/1986 12:00:00 AM
  • Firstpage
    104
  • Lastpage
    113
  • Abstract
    Worst-case analysis is one of the most often used techniques for verifying that the sensitivity of integrated circuit (IC) performances to changes in manufacturing conditions is minimized. However, worst-case analysis is often carried out in terms of a correlated set of parameters, which results in a design that is unnecessarily pessimistic. This paper presents a new approach to the worst-case analysis of integrated circuits that results in more realistic estimates of variations in device and circuit performances. In particular, worst-case analysis is performed in terms of a set of statistically independent process disturbances. A software package for worst-case analysis is described and illustrated by a number of examples. The results of the proposed worst-case analysis method are compared to Monte Carlo simulations.
  • Keywords
    Circuit analysis; Circuit simulation; Delay lines; Fluctuations; Integrated circuit manufacture; Manufacturing processes; Performance analysis; Performance evaluation; Power dissipation; Software packages;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/TCAD.1986.1270181
  • Filename
    1270181