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DATE
2007
IEEE
130views Hardware» more  DATE 2007»
13 years 11 months ago
A novel criticality computation method in statistical timing analysis
Abstract— The impact of process variations increases as technology scales to nanometer region. Under large process variations, the path and arc/node criticality [18] provide effe...
Feng Wang 0004, Yuan Xie, Hai Ju
DAC
2006
ACM
14 years 5 months ago
Criticality computation in parameterized statistical timing
Chips manufactured in 90 nm technology have shown large parametric variations, and a worsening trend is predicted. These parametric variations make circuit optimization difficult ...
Jinjun Xiong, Vladimir Zolotov, Natesan Venkateswa...
DATE
2008
IEEE
111views Hardware» more  DATE 2008»
13 years 11 months ago
Incremental Criticality and Yield Gradients
— Criticality and yield gradients are two crucial diagnostic metrics obtained from Statistical Static Timing Analysis (SSTA). They provide valuable information to guide timing op...
Jinjun Xiong, Vladimir Zolotov, Chandu Visweswaria...
ASPDAC
2007
ACM
105views Hardware» more  ASPDAC 2007»
13 years 8 months ago
An Efficient Computation of Statistically Critical Sequential Paths Under Retiming
Abstract-- In this paper we present the Statistical Retimingbased Timing Analysis (SRTA) algorithm. The goal is to compute the timing slack distribution for the nodes in the timing...
Mongkol Ekpanyapong, Xin Zhao, Sung Kyu Lim
DAC
2005
ACM
13 years 6 months ago
Parameterized block-based statistical timing analysis with non-gaussian parameters, nonlinear delay functions
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...
Hongliang Chang, Vladimir Zolotov, Sambasivan Nara...