• DocumentCode
    2848447
  • Title

    Efficient Calculation of Timed Cumulative Probability Density Function

  • Author

    Su, Yu-Shih ; Weng, Yi-Hsin ; Chang, Shih-Chieh

  • Author_Institution
    Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2007
  • fDate
    25-27 April 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is well known that critical paths of a design are rarely activated because sensitization of long paths requires appropriate values applied at appropriate time for many gates. Several researches use the concept of rare activation for performance optimization but they require the accurate probability information of rare activation. We define timed cumulative probability density function (Timed-CDF) to be the probability distribution of a circuit´s delay induced by input patterns. Because a Timed-CDF is very useful for many applications, in this paper, we present an efficient way for constructing a Timed-CDF. Our basic idea utilizes a concept called timed characteristic function, which allows us to perform very fast parallel simulation rather than the traditional event-driven simulation. On average, our results are 6.18 times faster then the traditional simulation.
  • Keywords
    circuit CAD; circuit optimisation; circuit simulation; delays; probability; timing; circuit delay; critical path design; gates; parallel simulation; probability distribution; probability information; timed characteristic function; timed cumulative probability density function; timing optimization algorithms; Boolean functions; Circuit simulation; Clocks; Computational modeling; Delay; Discrete event simulation; Optical design; Probability density function; Probability distribution; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design, Automation and Test, 2007. VLSI-DAT 2007. International Symposium on
  • Conference_Location
    Hsinchu
  • Print_ISBN
    1-4244-0583-1
  • Electronic_ISBN
    1-4244-0583-1
  • Type

    conf

  • DOI
    10.1109/VDAT.2007.373252
  • Filename
    4239444