• DocumentCode
    2953855
  • Title

    Evaluation and modeling of power consumption of a heterogeneous dual-core processor

  • Author

    Hsu, Chun-Hao ; Chen, Jian Jhen ; Tsao, Shiao-Li

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
  • Volume
    2
  • fYear
    2007
  • fDate
    5-7 Dec. 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Embedded systems such as mobile phones widely adopt heterogeneous dual-core processors to improve the performance and reduce the cost and power consumption. Considering mobile devices that are usually battery-operated, one of the critical issues for such an embedded system is software design which must fully utilize the computation power and minimizes the power consumption. A number of power consumption models were proposed to facilitate designers to evaluate and diagnose the power consumption of the software. Unfortunately, previous studies only investigated single-core processors, but have not yet developed power consumption models for heterogeneous dual-core processors. In this paper, a power consumption model for the dual-core processor based on TI OMAP5912 is proposed for evaluating the power consumption of embedded software. This tool not only estimates the energy consumed by embedded software but also analyzes the energy distributions of the software on each processor core. With the aid of this tool, designers could diagnose the power consumption of dual-core embedded software efficiently and easily.
  • Keywords
    embedded systems; low-power electronics; multiprocessing systems; power aware computing; dual-core embedded software; embedded software power consumption; embedded system; energy consumption estimation; energy distribution; heterogeneous dual-core processor; power consumption evaluation; power consumption modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems, 2007 International Conference on
  • Conference_Location
    Hsinchu
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4244-1889-3
  • Electronic_ISBN
    1521-9097
  • Type

    conf

  • DOI
    10.1109/ICPADS.2007.4447711
  • Filename
    4447711