DocumentCode
952551
Title
Statistical Timing Analysis: From Basic Principles to State of the Art
Author
Blaauw, David ; Chopra, Kaviraj ; Srivastava, Ashish ; Scheffer, Lou
Author_Institution
Univ. of Michigan, Ann Arbor
Volume
27
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
589
Lastpage
607
Abstract
Static-timing analysis (STA) has been one of the most pervasive and successful analysis engines in the design of digital circuits for the last 20 years. However, in recent years, the increased loss of predictability in semiconductor devices has raised concern over the ability of STA to effectively model statistical variations. This has resulted in extensive research in the so-called statistical STA (SSTA), which marks a significant departure from the traditional STA framework. In this paper, we review the recent developments in SSTA. We first discuss its underlying models and assumptions, then survey the major approaches, and close by discussing its remaining key challenges.
Keywords
network synthesis; statistical analysis; digital circuits design; semiconductor devices; statistical timing analysis; Algorithm; circuit; performance; process variations; timing analysis;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/TCAD.2007.907047
Filename
4359932
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