• DocumentCode
    2457688
  • Title

    A system level power consumption estimation for MPSoC

  • Author

    Rethinagiri, Santhosh Kumar ; Atitallah, R.B. ; Dekeyser, Jean-Luc

  • Author_Institution
    INRIA Lille Nord Eur., Univ. de Lille 1, Lille, France
  • fYear
    2011
  • fDate
    Oct. 31 2011-Nov. 2 2011
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    This paper proposes an efficient Hybrid System Level (HSL) power estimation methodology for MPSoC. Within this methodology, the Functional Level Power Analysis (FLPA) is extended to set up generic power models for the different parts of the system. Then, a simulation framework is developed at the transactional level to evaluate accurately the activities used in the related power models. The combination of the above two parts lead to a hybrid power estimation that gives a better trade-off between accuracy and speed. The proposed methodology has several benefits: it considers the power consumption of the embedded system in its entirety and leads to accurate estimates without a costly and complex material. The proposed methodology is also scalable for exploring complex embedded architectures. The usefulness and effectiveness of our HSL methodology is validated through a typical mono-processor and multiprocessor embedded system designed around the Xilinx Virtex II Pro FPGA board.
  • Keywords
    embedded systems; field programmable gate arrays; multiprocessing systems; power aware computing; power consumption; system-on-chip; MPSoC; Xilinx Virtex II Pro FPGA board; field programmable gate array; functional level power analysis; hybrid system level power estimation; monoprocessor embedded system; multiprocessing system-on-chip; multiprocessor embedded system; system level power consumption; Accuracy; Analytical models; Estimation; Field programmable gate arrays; Hardware; Power demand; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System on Chip (SoC), 2011 International Symposium on
  • Conference_Location
    Tampere
  • Print_ISBN
    978-1-4577-0671-4
  • Electronic_ISBN
    978-1-4577-0670-7
  • Type

    conf

  • DOI
    10.1109/ISSOC.2011.6089692
  • Filename
    6089692