• DocumentCode
    3276682
  • Title

    Fast dynamic power estimation considering glitch filtering

  • Author

    Wang, L. ; Olbrich, M. ; Barke, E. ; Büchner, T. ; Bühler, M.

  • Author_Institution
    Inst. of Microelectron. Syst., Leibniz Univ. of Hannover, Hannover, Germany
  • fYear
    2009
  • fDate
    9-11 Sept. 2009
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    In this paper, we discuss probabilistic simulation techniques used to estimate dynamic power and especially glitch power. Major attention is paid to the problem of modeling inertial delay for using these techniques to estimate switching density at gate level. The inertial delay has a great impact on the glitch power due to filtering effects and is almost impossible to be modeled completely. We propose an approximation algorithm to achieve better accuracy compared to existing approaches. Examples show up to 60% improvement using our solution.
  • Keywords
    delays; logic gates; switching circuits; approximation algorithm; fast dynamic power estimation; glitch filtering; glitch power; inertial delay modeling; probabilistic simulation; switching density; Approximation algorithms; Circuits; Clocks; Delay effects; Delay estimation; Energy consumption; Filtering; Low pass filters; Parasitic capacitance; Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SOC Conference, 2009. SOCC 2009. IEEE International
  • Conference_Location
    Belfast
  • Print_ISBN
    978-1-4244-4940-8
  • Electronic_ISBN
    978-1-4244-4941-5
  • Type

    conf

  • DOI
    10.1109/SOCCON.2009.5398019
  • Filename
    5398019