PROJECT TITLE :

Efficient Statistical Timing Analysis Using Deterministic Cell Delay Models

ABSTRACT:

This brief presents an economical approach to statistical static timing analysis (STA), that estimates the system delay of statistical STA through deterministic STA. In statistical STA, the system delay is modeled as a operate of random variables, thus it's commonly expressed as a chance density perform (pdf). Therefore, to estimate the system delay of statistical STA through deterministic STA, we tend to must find the link between an arbitrary percentile purpose on the pdf of the system delay and the gate delays used in deterministic STA. However, there's no closed-type equation for an arbitrary percentile purpose on the pdf of the system delay, we have a tendency to derive an analytic expression for the higher sure of an arbitrary percentile point on the pdf of the system delay. This allows us to obtain the corresponding gate delays that are used to estimate the higher certain of the percentile point on the pdf of the system delay through deterministic STA. Experimental results indicate that the percentile point on the pdf of the system delay obtained with statistical STA is strictly bounded by the upper certain of the percentile point obtained with the proposed methodology inside an average vi% difference vary.


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