• DocumentCode
    2910332
  • Title

    Energy Consumption Measurement Technique for Automatic Instruction Set Characterization of Embedded Processors

  • Author

    Wendt, M. ; Grumer, M. ; Steger, C. ; Weiss, Rebecca ; Neffe, U. ; Mühlberger, A.

  • Author_Institution
    Graz Univ. of Technol., Graz
  • fYear
    2007
  • fDate
    1-3 May 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The steadily increasing performance of mobile devices implies also a rise in power consumption. To counteract this trend it is mandatory to accomplish software power optimizations based on accurate power consumption models characterized for the processor. This paper presents an environment for automated instruction set characterization based on physical power measurements. For an accurate current measurement a high performance sampling technique has been established, which can be either clock or energy driven. The performance of those techniques is analyzed and the advantages over the conventional solution of a series resistor are discussed.
  • Keywords
    embedded systems; instruction sets; integrated circuit testing; low-power electronics; mobile handsets; power aware computing; resistors; automatic instruction set characterization; current measurement; embedded processors; energy consumption measurement technique; mobile devices; power consumption models; sampling technique; series resistor; software power optimizations; Clocks; Costs; Current measurement; Energy consumption; Hardware; Integrated circuit measurements; Measurement techniques; Power measurement; Sampling methods; Voltage; Software energy estimation; clock driven sampling; current measurement; energy driven sampling; processor characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
  • Conference_Location
    Warsaw
  • ISSN
    1091-5281
  • Print_ISBN
    1-4244-0588-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2007.379342
  • Filename
    4258184