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Probabilistic Power-saving Scheduling of a Real-time Parallel Task on Discrete DVFS-enabled Multi-core Processors

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(2), pp.31-39
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Wan Yeon Lee 1

1동덕여자대학교

Accredited

ABSTRACT

In this paper, we propose a power-efficient scheduling scheme that stochastically minimizes the power consumption of a real-time parallel task while meeting the deadline on multicore processors. The proposed scheme applies the parallel processing that executes a task on multiple cores concurrently, and activates a part of all available cores with unused cores powered off, in order to save power consumption. It is proved that the proposed scheme minimizes the mean power consumption of a real-time parallel task with probabilistic computation amount on DVFS-enabled multicore processors with a finite set of discrete clock frequencies. Evaluation shows that the proposed scheme saves up to 81% power consumption of the previous method.

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