Jennifer L. Wong, Azadeh Davoodi +, Vishal Khandelwal +, Ankur Srivastava ...  Home/Search
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Abstract: We address the classic wire-length estimation problem and propose a new statistical wire-length estimation approach that captures the probability distribution function of net lengths after placement and before routing. These types of models are highly instrumental in formalizing a complete and consistent probabilistic approach to design automation and design closure where along with optimizing the pertinent cost function, the associated prediction error is also considered. (Update)
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Wire-length Prediction using Statistical Techniques - Jennifer Wong Azadeh (Correct)
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BibTeX entry: (Update)
J. L. Wong, et al. Wire-length prediction using statistical and probabilistic techniques. UCLA Technical Report #040027, pages 1--8, July 2004. http://citeseer.ist.psu.edu/742623.html More
@misc{ wong04wirelength,
author = "J. Wong",
title = "Wire-length prediction using statistical and probabilistic techniques",
text = "J. L. Wong, et al. Wire-length prediction using statistical and probabilistic
techniques. UCLA Technical Report #040027, pages 1--8, July 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/742623.html" }
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