By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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