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» Statistical timing analysis based on a timing yield model
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TCAD
2010
164views more  TCAD 2010»
13 years 5 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
TCAD
2008
98views more  TCAD 2008»
13 years 10 months ago
Early Analysis and Budgeting of Margins and Corners Using Two-Sided Analytical Yield Models
Manufacturing process variations lead to variability in circuit delay and, if not accounted for, can cause excessive timing yield loss. The familiar traditional approaches to timin...
Khaled R. Heloue, Farid N. Najm
ISQED
2007
IEEE
146views Hardware» more  ISQED 2007»
14 years 5 months ago
An Exploratory Study on Statistical Timing Analysis and Parametric Yield Optimization
Ayhan A. Mutlu, Kelvin J. Le, Mustafa Celik, Dar-s...
DAC
2004
ACM
14 years 2 months ago
A methodology to improve timing yield in the presence of process variations
The ability to control the variations in IC fabrication process is rapidly diminishing as feature sizes continue towards the sub-100 nm regime. As a result, there is an increasing...
Sreeja Raj, Sarma B. K. Vrudhula, Janet Meiling Wa...
DATE
2005
IEEE
139views Hardware» more  DATE 2005»
14 years 4 months ago
Statistical Timing Analysis with Extended Pseudo-Canonical Timing Model
— State of the art statistical timing analysis (STA) tools often yield less accurate results when timing variables become correlated due to global source of variations and path r...
Lizheng Zhang, Weijen Chen, Yuhen Hu, Charlie Chun...