Non-enumerative generation of statistical path delays for ATPG

Abstract

A Monte Carlo based approach capable of identifying the probability distributions that describe the delay of every sensitizable path in a path implicit manner is proposed. It is shown experimentally that the statistical information for all paths is generated as fast as the traditional Monte Carlo simulation that identifies the probability density function for the circuit delay.