• DocumentCode
    2671442
  • Title

    Extended time handling strategies for the improvement of prediction accuracy in event driven power estimation

  • Author

    Bachmann, Werner W. ; Huss, Sorin A.

  • Author_Institution
    Dept. of Comput. Sci., Lab. Darmstadt Univ. of Technol., Germany
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    539
  • Lastpage
    552
  • Abstract
    This paper presents a methodology for calculating very accurate mean power estimates for integrated digital CMOS circuits at gate level. It is shown that by means of improving the time and history handling algorithm of an event driven simulation system can increase the accuracy of predicted power consumption up to 20% compared to a previous, highly efficient method. The outlined approach is capable of handling complex circuits as well as very large sets of input vectors in an efficient way. It is demonstrated that the use of the proposed method, i.e. a specialized event oriented simulation system calibrated with gate specific parameters, results in overall estimation figures which are comparable to transistor level (SPICE) simulation accuracy and in a speed-up of about 10000. This allows both the simulation of very large circuits and the improvement of key design parameters such as yield during manufacturing process optimization, which typically requires repeated estimation runs. Experimental results for a benchmark circuit are detailed which demonstrate significant improvements in terms of performance, accuracy and flexibility of this approach compared to other state of the art power estimation methods
  • Keywords
    CMOS digital integrated circuits; circuit analysis computing; circuit simulation; discrete event simulation; SPICE; event driven power estimation; event oriented simulation; integrated digital CMOS circuits; manufacturing process optimization; mean power estimates; power estimation methods; Accuracy; CMOS digital integrated circuits; Circuit simulation; Design optimization; Discrete event simulation; Energy consumption; History; Manufacturing processes; Predictive models; SPICE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2000. SiPS 2000. 2000 IEEE Workshop on
  • Conference_Location
    Lafayette, LA
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-6488-0
  • Type

    conf

  • DOI
    10.1109/SIPS.2000.886752
  • Filename
    886752