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
Link To Document :
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