• DocumentCode
    2589545
  • Title

    A probabilistic collocation method based statistical gate delay model considering process variations and multiple input switching

  • Author

    Kumar, S. Yuva ; Li, Jun ; Talarico, Claudio ; Wang, Janet

  • Author_Institution
    Arizona Univ., Tucson, AZ, USA
  • fYear
    2005
  • fDate
    7-11 March 2005
  • Firstpage
    770
  • Abstract
    Since the advent of new nanotechnologies, the variability of gate delay due to process variations has become a major concern. This paper proposes a new gate delay model that includes impact from both process variations and multiple input switching. The proposed model uses an orthogonal polynomial based probabilistic collocation method to construct a delay analytical equation from circuit timing performance. From the experimental results, our approach has less that 0.2% error on the mean delay of gates and less than 3% error on the standard deviation.
  • Keywords
    circuit simulation; delays; nanoelectronics; polynomial matrices; timing; circuit timing performance; multiple input switching; nanotechnologies; orthogonal polynomial; probabilistic collocation method; process variations; statistical gate delay model; Automatic testing; Delay; Design automation; Europe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation and Test in Europe, 2005. Proceedings
  • ISSN
    1530-1591
  • Print_ISBN
    0-7695-2288-2
  • Type

    conf

  • DOI
    10.1109/DATE.2005.31
  • Filename
    1395671