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- W2065183790 abstract "In this paper we propose a framework for Statistical Static Timing Analysis (SSTA) considering intra-die process variations. Given a cell library, we propose an accurate method to characterize the gate and interconnect delay as well as slew as a function of underlying parameter variations. Using these accurate delay models, we propose a method to perform SSTA based on a quadratic delay and slew model. The method is based on efficient dimensionality reduction technique used for accurate computation of the max of two delay expansions. Our results indicate less than 4% error in the variance of the delay models compared to SPICE Monte Carlo and less than 1% error in the variance of the circuit delay compared to Monte Carlo simulations." @default.
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- W2065183790 date "2006-01-01" @default.
- W2065183790 modified "2023-10-13" @default.
- W2065183790 title "A framework for statistical timing analysis using non-linear delay and slew models" @default.
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- W2065183790 doi "https://doi.org/10.1145/1233501.1233546" @default.
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