Abstract
Despite asymmetric multiprocessor platforms are considered power-efficient multiprocessor architectures, efficient task partitioning (assignment) plays a crucial role in achieving more energy efficiency at these multiprocessor platforms. This paper considers the problem of energy-aware static partitioning of periodic real-time tasks on asymmetric multiprocessor platforms. The paper introduces a comparative evaluation of Bin-Packing (BP) techniques and variants when the Dynamic Voltage/Frequency Scaling (DVFS) is not supported by the platform and when practical full-chip DVFS with multiple Operating Performance Points (OPPs) is supported. Also, the paper introduces the energy models for each case and proposes a condition to determine which OPP will be chosen that misses no deadline and saves energy. The simulation results showed the most energy-efficient partitioning technique for each case.
| Original language | English |
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| Pages | 381-392 |
| Number of pages | 12 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 30th National Radio Science Conference, NRSC 2013 - Cairo, Egypt Duration: Apr 16 2013 → Apr 18 2013 |
Other
| Other | 30th National Radio Science Conference, NRSC 2013 |
|---|---|
| Country/Territory | Egypt |
| City | Cairo |
| Period | 4/16/13 → 4/18/13 |
Keywords
- Asymmetric multiprocessors
- Bin-packing
- DVFS
- Task assignment
- Task partitioning
- Uniform multiprocessors
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Electronic, Optical and Magnetic Materials
