Task merging for dynamic power management of cyclic applications in real-time multiprocessor systems

Qinru Qiu, Shaobo Liu, Qing Wu

Research output: Contribution to conferencePaperpeer-review

18 Scopus citations

Abstract

In this paper we propose the method of task merging and idle period clustering for dynamic power management (DPM) in a real-time system with multiple processing elements. We show that with good task scheduling, the energy and delay overheads due to power mode switching can be reduced significantly, while the opportunity for the system to switch to low power modes can be further improved. New on-line and off-line task scheduling algorithms are proposed that minimize the number of idle time intervals under the deadline and precedence constraints. A simple DPM policy is then used to save the energy dissipation during the idle time intervals. Experimental results show that, comparing to the DPM schemes without proper task scheduling, the proposed method reduces the number of power mode switching by 56% in average.

Original languageEnglish (US)
Pages397-404
Number of pages8
DOIs
StatePublished - 2006
Event24th International Conference on Computer Design 2006, ICCD - San Jose, CA, United States
Duration: Oct 1 2006Oct 4 2006

Other

Other24th International Conference on Computer Design 2006, ICCD
CountryUnited States
CitySan Jose, CA
Period10/1/0610/4/06

Keywords

  • Dynamic power management
  • Low power
  • Multiprocessor
  • Real-time

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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