loading...
New Block-Based Statistical Timing Analysis Approaches Without Moment Matching
Yokohama January 23-January 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASPDAC.2007.3580292007 Asia and South Pacific Design Au ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ruiming Chen, Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208
Hai Zhou, Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208
With aggressive scaling down of feature sizes in VLSI fabrication, process variation has become a critical issue in designs. We show that two necessary conditions for the "Max" operation are actually not satisfied in the moment matching based statistical timing analysis approaches. We propose two correlation-aware block-based statistical timing analysis approaches that keep these necessary conditions, and prove that our approaches always achieve tight lower bound and upper bound of the yield. Especially, our approach always gets the tight upper bound of the yield irrespective of the distributions that random variables have.
Citation:
Ruiming Chen, Hai Zhou, "New Block-Based Statistical Timing Analysis Approaches Without Moment Matching," asp-dac, pp.462-467, 2007 Asia and South Pacific Design Automation Conference, 2007
Usage of this product signifies your acceptance of the Terms of Use.