Clustering based pruning for statistical criticality computation under process variations

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: Hushrav D Mogal University of Minnesota, Minneapolis, MN
Haifeng Qian IBM Research, Yorktown Heights, NY
Sachin S Sapatnekar University of Minnesota, Minneapolis, MN
Kia Bazargan University of Minnesota, Minneapolis, MN
Clustering based pruning for statistical criticality computation under process variations 2007 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 6
· Downloads (cumulative): 94
· Citation Count: 6

Published in:
· Proceeding
ICCAD '07 Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Pages 340-343
IEEE Press Piscataway, NJ, USA ©2007
table of contents ISBN:1-4244-1382-6

Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder