41 search results - page 7 / 9 » Modeling Sub-90nm On-Chip Variation Using Monte Carlo Method... |
124
Voted
ICCAD
2004
IEEE
16 years 8 days ago
2004
IEEE
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
113
Voted
ASPDAC
2007
ACM
15 years 7 months ago
2007
ACM
Abstract-- This paper describes the stochastic model order reduction algorithm via stochastic Hermite Polynomials from the practical implementation perspective. Comparing with exis...
128
Voted
ICCAD
2004
IEEE
16 years 8 days ago
2004
IEEE
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...
129
Voted
DATE
2009
IEEE
15 years 10 months ago
2009
IEEE
— Statistical static timing analysis deals with the increasing variations in manufacturing processes to reduce the pessimism in the worst case timing analysis. Because of the cor...
111
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NIPS
2000
15 years 4 months ago
2000
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...