• DocumentCode
    952551
  • Title

    Statistical Timing Analysis: From Basic Principles to State of the Art

  • Author

    Blaauw, David ; Chopra, Kaviraj ; Srivastava, Ashish ; Scheffer, Lou

  • Author_Institution
    Univ. of Michigan, Ann Arbor
  • Volume
    27
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    589
  • Lastpage
    607
  • Abstract
    Static-timing analysis (STA) has been one of the most pervasive and successful analysis engines in the design of digital circuits for the last 20 years. However, in recent years, the increased loss of predictability in semiconductor devices has raised concern over the ability of STA to effectively model statistical variations. This has resulted in extensive research in the so-called statistical STA (SSTA), which marks a significant departure from the traditional STA framework. In this paper, we review the recent developments in SSTA. We first discuss its underlying models and assumptions, then survey the major approaches, and close by discussing its remaining key challenges.
  • Keywords
    network synthesis; statistical analysis; digital circuits design; semiconductor devices; statistical timing analysis; Algorithm; circuit; performance; process variations; timing analysis;
  • 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.2007.907047
  • Filename
    4359932