• DocumentCode
    3139158
  • Title

    Power and frequency analysis for data and control independence in embedded processors

  • Author

    Samie, Farzad ; Baniasadi, Amirali

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work we study control independence in embedded processors. We classify control independent instructions to data dependent and data independent and measure each group´s frequency and behavior. Moreover, we study how control independent instructions impact power dissipation and resource utilization. We also investigate control independent instructions´ behavior for different processors and branch predictors. Our study shows that data independent instructions account for 34% of the control independent instructions in the applications studied here. We also show that control independent instructions account for upto 12% of the processor energy and 15.6%, 11.2% and 8.6% of the instructions fetched, decoded and executed respectively. We also show that control independent instruction frequency increases with register update unit (RUU) size and issue width but shows little sensitivity to branch predictor size. In addition, we illustrate that control independent data independent instructions account for upto 6% of the processor energy. We also show that control independent data independent instruction frequency increases with RUU size and issue width.
  • Keywords
    embedded systems; microprocessor chips; power aware computing; branch predictor size; branch predictors; control independence; control independent instructions; data dependent; data independence; data independent; embedded processors; frequency analysis; power analysis; power dissipation; register update unit; resource utilization; Energy resolution; Irrigation; Logic gates; Program processors; Branch Predictor; Control Independence; Power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference and Workshops (IGCC), 2011 International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4577-1222-7
  • Type

    conf

  • DOI
    10.1109/IGCC.2011.6008593
  • Filename
    6008593