By Topic

Optimizing mode transition sequences in idle intervals for component-level and system-level 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
$33 $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

2 Author(s)
Jinfeng Liu ; Center for Embedded Comput. Syst., California Univ., Irvine, CA, USA ; P. H. Chou

New embedded systems offer rich power management features in the form of multiple operational and nonoperational power modes. While they offer mechanisms for better energy efficiency, they also complicate power management decisions in the presence of realtime constraints. A traditional dynamic power management techniques based on localized break-even-time analysis with simple on/off power controls often yield suboptimal if not incorrect results globally. To address these problems, This work presents two core algorithms for reducing idle energy consumption at the component level and system level. The first algorithm discovers the optimal sequence for mode transition over multiple power modes under timing constraints. It assists the second algorithm that performs a sophisticated global search strategy to aggressively explore system-wide energy savings by correctly interpreting the constraints across all subsystems. Experimental results show that in an embedded radio system where idle energy cost matches or exceeds the active energy consumption, our technique can further reduce the idle energy by 50-70%, which translates into 30-50% of overall system energy compared to existing techniques.

Published in:

Computer Aided Design, 2004. ICCAD-2004. IEEE/ACM International Conference on

Date of Conference:

7-11 Nov. 2004