By Topic

Task scheduling and voltage selection for energy minimization

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

3 Author(s)
Yumin Zhang ; Synopsys, Inc., Mountain View, CA, USA ; Xiaobo Hu ; Chen, D.Z.

In this paper, we present a two-phase framework that integrates task assignment, ordering and voltage selection (VS) together to minimize energy consumption of real-time dependent tasks executing on a given number of variable voltage processors. Task assignment and ordering in the first phase strive to maximize the opportunities that can be exploited for lowering voltage levels during the second phase, i.e., voltage selection. In the second phase, we formulate the VS problem as an Integer Programming (IP) problem and solve the IP efficiently. Experimental results demonstrate that our framework is very effective in executing tasks at lower voltage levels under different system configurations.

Published in:

Design Automation Conference, 2002. Proceedings. 39th

Date of Conference: