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Statistical Timing Analysis for Intrude Process Variations with Spatial Correlations Seem Agarwal, David Black, *Vladimir Molotov University of Michigan, Ann Arbor. MI Motorola, Inc. Austin, Abstract
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Statistical timing analysis is a method used to evaluate the timing performance of a circuit by accounting for variations in manufacturing processes, temperature, and voltage. It helps ensure that a design meets its timing requirements under different operating conditions.
Typically, companies that design and manufacture integrated circuits are required to file statistical timing analysis forms. This includes semiconductor manufacturers and design houses engaged in the production of electronic components.
To fill out a statistical timing analysis form, one must collect data regarding circuit performance, variations, and operating conditions. This data is then analyzed using statistical methods to evaluate timing margins and produce a report that summarizes findings.
The purpose of statistical timing analysis is to assess a circuit's operational reliability and to ensure that it meets specified timing constraints despite variations in manufacturing and environmental conditions.
The form must report information such as timing paths, variability factors, operating conditions, analysis results including minimum and maximum delays, and any margin violations observed during the analysis.
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