Elements of Statistical SPICE Models

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We discuss several elements of statistical SPICE models and present our solutions. We present (i) a solution of automatically detecting Monte Carlo vs. skewed simulations, (ii) a method of modeling an arbitrarily given asymmetric or symmetric distribution, (iii) a hierarchical structure of the skewing parameters of many process/device statistical distributions for skewed simulations, (iv) a technique of combining chip-mean and across-chip variations for a single model parameter, and (v) a method of enabling Monte Carlo simulations of across-chip variations at a skew corner of the chip-mean variations. These solutions establish a solid foundation for a good statistical SPICE model.

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Journal: TechConnect Briefs
Volume: 3, Nanotechnology 2009: Biofuels, Renewable Energy, Coatings, Fluidics and Compact Modeling
Published: May 3, 2009
Pages: 616 - 619
Industry sector: Sensors, MEMS, Electronics
Topic: WCM - Compact Modeling
ISBN: 978-1-4398-1784-1