• DocumentCode
    438397
  • Title

    Gibbs sampling in power grid analysis

  • Author

    Tian, Zhixin ; Yang, Huazhong ; Luo, Rong

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2005
  • fDate
    18-21 Jan. 2005
  • Firstpage
    107
  • Abstract
    Power grid plays an important role in determining circuit performance, and the accuracy and efficiency of power grid analysis algorithm has become critical in timing, power and noise estimation of modern integrated circuits. In this paper a stochastic algorithm based on Gibbs sampling is proposed to solve the problem of power grid analysis, and the test results shows that it reaches a good accuracy with linear complexity. The method has incremental property of localizing computation, a desirable property favoring in modern CAD. Therefore it can be embedded at all the design and verification levels of integrated circuits.
  • Keywords
    circuit CAD; circuit complexity; integrated circuit design; stochastic processes; CAD; Gibbs sampling; circuit performance; integrated circuits; linear complexity; noise estimation; power estimation; power grid analysis; stochastic algorithm; Algorithm design and analysis; Circuit optimization; Circuit testing; Design automation; Integrated circuit noise; Performance analysis; Power grids; Sampling methods; Stochastic resonance; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific
  • Print_ISBN
    0-7803-8736-8
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2005.1466140
  • Filename
    1466140