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Seo, Euiseong
School of Electrical and Computer Engineering
Research Interests
  • System software for flash memory
  • Embedded systems
  • Virtualization
  • Energy-efficient computing

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Energy efficient scheduling of real-time tasks on multicore processors

Cited 37 times inthomson ciCited 61 times inthomson ci
Title
Energy efficient scheduling of real-time tasks on multicore processors
Author
Seo, EuiseongJeong, JinkyuPark, SeonyeongLee, Joonwon
Keywords
Low-power design; Multicore processors; Multiprocessor systems; Power-aware systems; Real-time scheduling; Real-time systems
Issue Date
2008-11
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, v.19, no.11, pp.1540 - 1552
Abstract
Multicore processors deliver a higher throughput at lower power consumption than unicore processors. In the near future, they will thus be widely used in mobile real-time systems. There have been many research on energy-efficient scheduling of real-time tasks using DVS. These approaches must be modified for multicore processors, however, since normally all the cores in a chip must run at the same performance level. Thus, blindly adopting existing DVS algorithms that do not consider the restriction will result in a waste of energy. This article suggests Dynamic Repartitioning algorithm based on existing partitioning approaches of multiprocessor systems. The algorithm dynamically balances the task loads of multiple cores to optimize power consumption during execution. We also suggest Dynamic Core Scaling algorithm, which adjusts the number of active cores to reduce leakage power consumption under low load conditions. Simulation results show that Dynamic Repartitioning can produce energy savings of about 8 percent even with the best energy-efficient partitioning algorithm. The results also show that Dynamic Core Scaling can reduce energy consumption by about 26 percent under low load conditions.
URI
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DOI
10.1109/TPDS.2008.104
ISSN
1045-9219
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EE_Journal Papers
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