• DocumentCode
    841683
  • Title

    Estimation of power dissipation in switched-capacitor circuits

  • Author

    Casinovi, Giorgio ; Young, Chad

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    22
  • Issue
    12
  • fYear
    2003
  • Firstpage
    1625
  • Lastpage
    1636
  • Abstract
    This paper presents an algorithm for probabilistic analysis of the power dissipation in switched-capacitor circuits, which are frequently found in a number of low-power designs, such as those for mobile communications equipment. The inputs to the circuit are modeled as a stationary Markov process of order zero or one. The expected power dissipation is obtained from first- and second-order moments of (he probability distributions of voltages and charges in the circuit. The algorithm does not require Monte Carlo analysis; instead, (he moments of the probability distributions are computed from the solutions of systems of linear algebraic equations, taking into account any correlation among the inputs. To demonstrate the algorithm´s performance, numerical results obtained on a number of sample switched-capacitor circuits are reported.
  • Keywords
    CMOS integrated circuits; Markov processes; circuit CAD; circuit simulation; integrated circuit design; low-power electronics; statistical distributions; switched capacitor networks; CMOS circuits; circuit simulation; computer-aided analysis; linear algebraic equations; low-power designs; mobile communications equipment; power dissipation; power modeling; probabilistic analysis; software implementation; stationary Markov process; switched-capacitor circuits; Algorithm design and analysis; Distributed computing; Equations; Markov processes; Mobile communication; Monte Carlo methods; Power dissipation; Probability distribution; Switched capacitor circuits; Voltage;
  • 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.2003.819384
  • Filename
    1253541