• DocumentCode
    596815
  • Title

    Statistical leakage analysis using the deterministic modeling of cell leakage current

  • Author

    Jae Hoon Kim ; Young Hwan Kim

  • Author_Institution
    Electr. Eng. Dept., POSTECH, Pohang, South Korea
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    837
  • Lastpage
    840
  • Abstract
    This paper presents a new approach to estimate the n-sigma chip leakage current in the chip leakage probability density function of statistical leakage analysis (SLA) through gate-level deterministic leakage analysis (DLA). Although SLA provides accurate result than corner-based analysis, it is an impractical solution in recent technology comprising millions logic cells in a system since its computational complexity is O(N2). The proposed method uses DLA, and this makes it not only efficient but also suitable for use in the existing design environments. In addition, by providing the upper and lower bounds of SLA results, n-sigma chip leakage, the proposed method avoids the pessimism of existing DLA methods.
  • Keywords
    computational complexity; integrated circuit modelling; leakage currents; logic design; statistical analysis; cell leakage current; chip leakage probability density function; computational complexity; corner-based analysis; design environments; deterministic modeling; gate-level deterministic leakage analysis; logic cells; n-sigma chip leakage current; statistical leakage analysis; Computational modeling; Correlation; Estimation; Leakage current; Logic gates; Probability density function; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems (ICECS), 2012 19th IEEE International Conference on
  • Conference_Location
    Seville
  • Print_ISBN
    978-1-4673-1261-5
  • Electronic_ISBN
    978-1-4673-1259-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2012.6463529
  • Filename
    6463529