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» Criticality computation in parameterized statistical timing
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ICCAD
2007
IEEE
161views Hardware» more  ICCAD 2007»
14 years 1 months ago
Clustering based pruning for statistical criticality computation under process variations
— We present a new linear time technique to compute criticality information in a timing graph by dividing it into “zones”. Errors in using tightness probabilities for critica...
Hushrav Mogal, Haifeng Qian, Sachin S. Sapatnekar,...
DAC
2002
ACM
14 years 5 months ago
False-path-aware statistical timing analysis and efficient path selection for delay testing and timing validation
We propose a false-path-aware statistical timing analysis framework. In our framework, cell as well as interconnect delays are assumed to be correlated random variables. Our tool ...
Jing-Jia Liou, Angela Krstic, Li-C. Wang, Kwang-Ti...
VLSID
2003
IEEE
167views VLSI» more  VLSID 2003»
14 years 5 months ago
Timing Minimization by Statistical Timing hMetis-based Partitioning
In this paper we present statistical timing driven hMetisbased partitioning. We approach timing driven partitioning from a different perspective: we use the statistical timing cri...
Cristinel Ababei, Kia Bazargan
DAC
2008
ACM
14 years 5 months ago
Parameterized timing analysis with general delay models and arbitrary variation sources
Many recent techniques for timing analysis under variability, in which delay is an explicit function of underlying parameters, may be described as parameterized timing analysis. T...
Khaled R. Heloue, Farid N. Najm
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...