• DocumentCode
    655082
  • Title

    A Generic Methodology to Derive Empirical Power Consumption Prediction Models for Multi-Core Processors

  • Author

    Basmadjian, Robert ; Rainer, Sebastian ; de Meer, Hermann

  • Author_Institution
    Univ. of Passau, Passau, Germany
  • fYear
    2013
  • fDate
    Sept. 30 2013-Oct. 2 2013
  • Firstpage
    167
  • Lastpage
    174
  • Abstract
    With the emergence of multi-core processors and their P-states, deriving power consumption models expressed in terms of easily extractable parameters becomes a necessity. In this paper, we introduce a generic methodology to devise power consumption estimation models for multi-core processors. The proposed approach takes into account three metrics: The number of active cores (i.e. executing instructions), frequency and utilization rate of the processor. Consequently, the derived models are expressed in terms of the above-mentioned parameters which can be extracted by any monitoring system. In order to assess the correctness as well as the accuracy of the proposed methodology, an experimental analysis is performed on Intel quad- and hexa-core processors. The results confirm the exactitude of the proposed methodology.
  • Keywords
    microprocessor chips; multiprocessing systems; power aware computing; Intel quad-core processors; P-states; active cores; empirical power consumption prediction models; experimental analysis; generic methodology; hexa-core processors; multicore processors; processor utilization rate; Analytical models; Computational modeling; Equations; Mathematical model; Multicore processing; Power demand; Predictive models; Power consumption; empirical models; methodology; multi-core processors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Green Computing (CGC), 2013 Third International Conference on
  • Conference_Location
    Karlsruhe
  • Type

    conf

  • DOI
    10.1109/CGC.2013.32
  • Filename
    6686024