Generating variation-aware library data with efficient device mismatch characterization

Abstract

In a method of generating variation-aware library data for statistical static timing analysis (SSTA), a 'synthetic' Gaussian variable can be used to represent all instances of one or more mismatch variations in all devices (e.g. transistors), thereby capturing the effect on at least one timing property (e.g. delay or slew). By modeling device mismatch with synthetic random variables, the variation behavior (in terms of the distribution of delay, slew, constraint, etc.) can be interpreted as the outcomes of process variations instead of modeling the variation sources (e.g. transistor shape variations, variations in dopant atom density, and irregularity of edges).