Elements of Statistical SPICE Models

	Nanotech 2009 Vol. 3 Nanotechnology 2009: Biofuels, Renewable Energy, Coatings, Fluidics and Compact Modeling Chapter 9: Workshop on Compact Modeling
	Elements of Statistical SPICE Models
Authors:	N. Lu, J. Watts, S.K. Springer
Affilation:	IBM, US
Pages:	616 - 619
Keywords:	SPICE models, statistical modeling, Monte Carlo simulations, corner simulations
Abstract:	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.
ISBN:	978-1-4398-1784-1
Pages:	694
Hardcopy:	$179.95

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