• DocumentCode
    1975602
  • Title

    High-Level Power Estimation of FPGA

  • Author

    Abdelli, Nabil ; Fouilliart, A.-M. ; Julien, Nathalie ; Senn, Eric

  • Author_Institution
    THALES Commun., Colombes
  • fYear
    2007
  • fDate
    4-7 June 2007
  • Firstpage
    925
  • Lastpage
    930
  • Abstract
    With the success of battery-based personal computing devices and wireless communication systems, low power has become a key issue in embedded system design. As a result, designers are now encouraged to consider the impact of their decisions not only on speed and area performances, but also on power consumption throughout the entire design process. This paper presents our contribution in terms of power estimation and exploration methodology based on high-level power modeling approach of re-configurable devices such as field-programmable gate arrays (FPGA). In order to address the different abstraction levels and the various targets, a global methodology is proposed here to elaborate suitable models. With our high-level power model, the FPGA power estimation can be obtained at early stage of the design process. Experimental results indicate on a classical signal-processing algorithm; that the gap between measures and estimations is lower than 18%. From these models, several consumption optimizations can be deducted from the sensitivity metric.
  • Keywords
    field programmable gate arrays; power electronics; FPGA; classical signal-processing algorithm; embedded system design; field-programmable gate arrays; high-level power estimation; reconfigurable devices; Application specific integrated circuits; Embedded software; Embedded system; Energy consumption; Field programmable gate arrays; Hardware design languages; Power system modeling; Process design; Routing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
  • Conference_Location
    Vigo
  • Print_ISBN
    978-1-4244-0754-5
  • Electronic_ISBN
    978-1-4244-0755-2
  • Type

    conf

  • DOI
    10.1109/ISIE.2007.4374721
  • Filename
    4374721