Cart (Loading....) | Create Account
Close category search window
 

Timing minimization by statistical timing hMetis-based partitioning

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

2 Author(s)
Ababei, C. ; Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA ; Bazargan, K.

In this paper we present statistical timing driven hMetis-based partitioning. We approach timing driven partitioning from a different perspective: we use the statistical timing criticality concept to change the partitioning process itself. We exploit the hyperedge coarsening scheme of the hMetis partitioner for our timing minimization purpose. This allows us to perform partitioning such that the most critical nets in the circuit are not cut and therefore timing minimization can be achieved. The use of the hMetis partitioning algorithm makes our partitioning methodology fast. Simulations results show that 22% average delay improvement can be obtained. Furthermore, as a result of using the statistical timing model, the partitioning results can tolerate changes in temperature and process variation, hence causing less delay change compared to partitioning using static timing models.

Published in:

VLSI Design, 2003. Proceedings. 16th International Conference on

Date of Conference:

4-8 Jan. 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.