Energy-saving stochastic scheduling of a real-time parallel task with varying computation amount on multi-core processors

Wan Yeon Lee, Kyong Hoon Kim

Research output: Contribution to journalArticlepeer-review

Abstract

The proposed scheduling scheme minimizes the mean energy consumption of a real-time parallel task, where the task has the probabilistic computation amount and can be executed concurrently on multiple cores. The scheme determines a pertinent number of cores allocated to the task execution and the instant frequency supplied to the allocated cores. Evaluation shows that the scheme saves manifest amount of the energy consumed by the previous method minimizing the mean energy consumption on a single core.

Original languageEnglish
Pages (from-to)842-845
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE94-A
Issue number2
DOIs
StatePublished - Feb 2011

Keywords

  • Energy
  • Multi-core
  • Parallel processing
  • Real-time task
  • Scheduling

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