A framework for statistical timing analysis using non-linear delay and slew models

Sarvesh Bhardwaj, Praveen Ghanta, Sarma Vrudhula

Research output: Chapter in Book/Report/Conference proceedingConference contribution

55 Scopus citations

Abstract

In this paper1 we propose a framework for Statistical Static Timing Analysis (SSTA) considering intra-die process variations. Given a cell library, we propose an accurate method to characterize the gate and interconnect delay as well as slew as a function of underlying parameter variations. Using these accurate delay models, we propose a method to perform SSTA based on a quadratic delay and slew model. The method is based on efficient dimensionality reduction technique used for accurate computation of the max of two delay expansions. Our results indicate less than 4% error in the variance of the delay models compared to SPICE Monte Carlo and less than 1% error in the variance of the circuit delay compared to Monte Carlo simulations.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 International Conference on Computer-Aided Design, ICCAD
Pages225-230
Number of pages6
DOIs
StatePublished - 2006
Event2006 International Conference on Computer-Aided Design, ICCAD - San Jose, CA, United States
Duration: Nov 5 2006Nov 9 2006

Publication series

NameIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
ISSN (Print)1092-3152

Other

Other2006 International Conference on Computer-Aided Design, ICCAD
Country/TerritoryUnited States
CitySan Jose, CA
Period11/5/0611/9/06

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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