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ETAHM: An energy-aware task allocation algorithm for heterogeneous multiprocessor

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4 Author(s)
Po-Chun Chang ; Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu ; I-Wei Wu ; Jyh-Jiun Shann ; Chung-Ping Chung

In demand of more computing power and less energy use, multiprocessor with power management facility emerges in embedded system design. 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 (V. Kianzad et al., 2005), a state-of-the-art integrated framework that tackles the identical problem with genetic algorithm instead.

Published in:

Design Automation Conference, 2008. DAC 2008. 45th ACM/IEEE

Date of Conference:

8-13 June 2008

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