• DocumentCode
    2107106
  • Title

    Ultra compact, quadratic power proxies for multi-core processors

  • Author

    Yasin, M. ; Shahrour, Anas ; Elfadel, Ibrahim Abe

  • Author_Institution
    Inst. Center for Microsyst. (iMicro), Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    954
  • Lastpage
    957
  • Abstract
    Per-core power proxies for multi-core processors are known to use more than 40 hardware activity monitors to achieve a 2% accuracy on core power estimation. These activity monitors are typically not accessible by the user, and even if they were accessible, there is a significant overhead in using them at the kernel or OS level for power monitoring or control. Furthermore, when scaled up to hundreds of cores per chip, such power proxies become a computational bottleneck for power management operations such as chip power capping. In this paper, we show that a 4% accuracy or better for per-core power estimation can be achieved using a power proxy based on a hybrid set of only four user-accessible parameters, namely core frequency, core temperature, instruction-per-cycle and active-state residency. We illustrate the accuracy of the model using the full suite of the SPEC CPU 2006 benchmarks on a 12-core processor.
  • Keywords
    microprocessor chips; multiprocessing systems; 12-core processor; SPEC CPU 2006 benchmarks; multicore processors; per-core power estimation; per-core power proxies; power control; power management; power monitoring; quadratic power proxies; Accuracy; Computational modeling; Mathematical model; Monitoring; Multicore processing; Power demand; Radiation detectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICECS.2013.6815570
  • Filename
    6815570