• DocumentCode
    1588401
  • Title

    Exact computation of the entropy of a logic circuit

  • Author

    Macii, Enrico ; Poncino, Massimo

  • Author_Institution
    Dipartimento di Autom. e Inf., Politecnico di Torino, Italy
  • fYear
    1996
  • Firstpage
    162
  • Lastpage
    167
  • Abstract
    Computing the entropy of a digital circuit has proved to be very useful for several applications in the area of VLSI system design. Recently, a method for entropy calculation has been used in the context of power estimation for logic circuits described at the register-transfer level. The technique has shown to be reasonably effective concerning the trade-off between the accuracy of the estimates produced and the execution time. However, the assumptions required to make the computation feasible are such that the obtained results are approximate. In this paper, we propose a symbolic algorithm for the exact calculation of the entropy of a logic circuit which is able to handle reasonably large examples without introducing any approximation. We present experimental data on standard benchmark designs in order to show the effectiveness of the new method; in addition, we compare our results to the ones obtained with the approximate approach. As a result, we observe a marginal penalty in the performance of the symbolic procedure; on the other hand, accuracy in the calculation increases significantly
  • Keywords
    Boolean functions; VLSI; circuit analysis computing; entropy; integrated logic circuits; logic circuits; symbol manipulation; VLSI system design; entropy calculation; logic circuit entropy; power estimation; register-transfer level; symbolic algorithm; Accuracy; Approximation algorithms; Boolean functions; Circuit testing; Delay estimation; Digital circuits; Entropy; Logic circuits; Power measurement; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI, 1996. Proceedings., Sixth Great Lakes Symposium on
  • Conference_Location
    Ames, IA
  • ISSN
    1066-1395
  • Print_ISBN
    0-8186-7502-0
  • Type

    conf

  • DOI
    10.1109/GLSV.1996.497613
  • Filename
    497613