loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
7th International Symposium on Quality Electronic Design (ISQED'06)
Advances in Computation of the Maximum of a Set of Random Variables
San Jose, California
March 27-March 29
ISBN: 0-7695-2523-7
Debjit Sinha, EECS, Northwestern University, Evanston, IL
Hai Zhou, EECS, Northwestern University, Evanston, IL
Narendra V. Shenoy, ATG, Synopsys Inc., Mountain View, CA
This paper quantifies the approximation error in Clark?s approach [1] to computing the maximum (max) of Gaussian random variables; a fundamental operation in statistical timing. We show that a finite Look Up Table can be used to store these errors. Based on the error computations, approaches to different orderings for pair-wise max operations on a set of Gaussians are proposed. Experiments show accuracy improvements in the computation of the max of multiple Gaussians by up to 50% in comparison to the traditional approach. To the best of our knowledge, this is the first work addressing the mentioned issues.
Citation:
Debjit Sinha, Hai Zhou, Narendra V. Shenoy, "Advances in Computation of the Maximum of a Set of Random Variables," isqed, pp.306-311, 7th International Symposium on Quality Electronic Design (ISQED'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.