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Markov decision process based energy-efficient scheduling for slice-parallel video decoding

  • EPFL
  • University of California at Los Angeles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider the problem of energy-efficient scheduling for slice-parallel video decoders on multicore systems with Dynamic Voltage Frequency Scaling (DVFS) enabled processors. We rigorously formulate the problem as a Markov decision process (MDP), which simultaneously considers the on-line scheduling and per-core DVFS capabilities; the power consumption of the processor cores and caches; and the loss tolerant and dynamic nature of the video decoder. The objective is to minimize long-term power consumption subject to a minimum Quality of Service (QoS) constraint related to the decoder's throughput. We evaluate the proposed scheduling algorithm using traces generated from a cycle-accurate multiprocessor ARM simulator.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States
Duration: Jul 15 2013Jul 19 2013

Publication series

NameElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Conference

Conference2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
Country/TerritoryUnited States
CitySan Jose, CA
Period07/15/1307/19/13

Keywords

  • Markov decision process
  • Slice-parallel video decoding
  • dynamic voltage scaling
  • multicore power management
  • multicore scheduling

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