• DocumentCode
    3278438
  • Title

    High-Level Switching Activity Prediction Through Sampled Monitored Simulation

  • Author

    Klein, Felipe ; Azevedo, Rodolfo ; Araujo, Guido

  • Author_Institution
    State Univ. of Campinas, Campinas
  • fYear
    2005
  • fDate
    17-17 Nov. 2005
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    This paper presents a sample-based technique to predict the switching activity of digital circuits. It is an improvement to PowerSC, a SystemC library extension that enables a fast and easy-to-use way of gathering switching activity from SystemC descriptions. The experimental results reveal that it can dramatically reduce the monitoring time of the simulation, with a minimal loss of accuracy with respect to estimates provided by an industrial tool. Several tests realized in a case study with a real-world design obtained reductions in the monitoring time of up to 99% with average errors of no more than 0.05%.
  • Keywords
    circuit simulation; hardware description languages; software libraries; switching circuits; PowerSC SystemC library extension; digital circuits; high-level switching activity prediction; sampled monitored simulation; Circuit simulation; Computational modeling; Condition monitoring; Costs; Design optimization; Digital circuits; Energy consumption; Predictive models; Software libraries; Switching circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System-on-Chip, 2005. Proceedings. 2005 International Symposium on
  • Conference_Location
    Tampere
  • Print_ISBN
    0-7803-9294-9
  • Type

    conf

  • DOI
    10.1109/ISSOC.2005.1595668
  • Filename
    1595668