• DocumentCode
    1659492
  • Title

    Circuit partitioning techniques for power estimation using the full set of input correlations

  • Author

    Freitas, Ana T. ; Oliveira, Arlindo L.

  • Author_Institution
    INESC, Instituto Superior Tecnico, Lisbon, Portugal
  • Volume
    2
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    903
  • Abstract
    Exact power estimation, at logic level, is only possible if all the input correlations are taken into account. Recently, a probabilistic approach that uses a simple but powerful formalism for power estimation taking into account all the input correlations has been proposed. With this probabilistic approach it is possible to compute exactly the power dissipation of combinational modules using input statistics that would require extremely large traces if simulation based methods were to be used. However, the applicability of the method is limited to very small circuits. This paper describes a circuit partitioning technique that speeds up that method. By using partitioning techniques we avoid the computation of global BDD representations for node functions, thereby extending considerably the range of applicability of the algorithm. Moreover, the partitioning maintains the full set of correlations and, therefore, does not induce any loss of accuracy
  • Keywords
    binary decision diagrams; combinational circuits; correlation methods; logic partitioning; binary decision diagram; circuit partitioning algorithm; combinational module; input correlation statistics; logic circuit; power dissipation; power estimation; probabilistic method; Binary decision diagrams; Circuits; Entropy; Frequency estimation; Logic; Partitioning algorithms; Power dissipation; Power supplies; Statistics; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
  • Print_ISBN
    0-7803-7057-0
  • Type

    conf

  • DOI
    10.1109/ICECS.2001.957619
  • Filename
    957619