Statistical Performance Modeling and Optimization

10 years 11 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing processes have introduced unavoidable and significant uncertainty in circuit performance; hence ensuring manufacturability has been identified as one of the top priorities of today's IC design problems. In this paper, we review various statistical methodologies that have been recently developed to model, analyze, and optimize performance variations at both transistor level and system level. The following topics will be discussed in detail: sources of process variations, variation characterization and modeling, Monte Carlo analysis, response surface modeling, statistical timing and leakage analysis, probability distribution extraction, parametric yield estimation and robust IC optimization. These techniques provide the necessary CAD infrastructure that facilitates the bold move from deterministic, corner-based I...
Xin Li, Jiayong Le, Lawrence T. Pileggi
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2006
Authors Xin Li, Jiayong Le, Lawrence T. Pileggi
Comments (0)