ETAHM an energy-aware task allocation algorithm for heterogeneous multiprocessor

In demand of more computing power and less energy use, multiprocessor with power management facility emerges in embedded system design recently. Dynamic Voltage Scaling is such a facility that varies clock speed and supply voltage to save more energy. In this paper, we propose ETAHM to allocate task...

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Veröffentlicht in:2008 45th ACM/IEEE Design Automation Conference S. 776 - 779
Hauptverfasser: Chang, Po-Chun, Wu, I-Wei, Shann, Jyh-Jiun, Chung, Chung-Ping
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY, USA ACM 08.06.2008
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Ant colony optimization
Clocks
Computing methodologies > Artificial intelligence > Control methods
Computing methodologies > Artificial intelligence > Search methodologies
DVS multiprocessor system
Dynamic voltage scaling
Embedded computing
Embedded system
Energy management
Multiprocessing systems
Power system management
Pursuit algorithms
Task scheduling
Theory of computation > Design and analysis of algorithms > Algorithm design techniques > Dynamic programming
Voltage control
task scheduling
DVS multiprocessor system
ISBN:1605581151, 9781605581156
ISSN:0738-100X
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Zusammenfassung:In demand of more computing power and less energy use, multiprocessor with power management facility emerges in embedded system design recently. Dynamic Voltage Scaling is such a facility that varies clock speed and supply voltage to save more energy. In this paper, we propose ETAHM to allocate tasks on a target multiprocessor system. In pursuit of global optimal solution, it mixes task scheduling, mapping and DVS utilization in one phase and couples ant colony optimization algorithm. Extensive experiments show ETAHM could save 22.71% more energy than CASPER [1], a state-of-the-art integrated framework that tackles the identical problem with genetic algorithm instead.
ISBN:1605581151
9781605581156
ISSN:0738-100X
DOI:10.1145/1391469.1391667