Statistical Static Timing Analysis: How simple can we get? - Technical Paper from DAC 2005

Intel

Paper by Chirayu S. Amin, Noel Menezes, Kip Killpack, Florentin Dartu, Umakanta Choudhury, Nagib Hakim, and Yehea I. Ismail.

With an increasing trend in the variation of the primary parameters affecting circuit performance, the need for statistical static timing analysis (SSTA) has been firmly established in the last few years. While it is generally accepted that a timing analysis tool should handle parameter variations, the benefits of advanced SSTA algorithms are still questioned by the designer community because of their significant impact on complexity of STA flows. In this paper, we present convincing evidence that a path-based SSTA approach implemented as a post-processing step captures the effect of parameter variations on circuit performance fairly accurately. On a microprocessor block implemented in 90nm technology, the error in estimating the standard deviation of the timing margin at the inputs of sequential elements is at most 0.066 FO4 delays, which translates in to only 0.31% of worst case path delay.


Read the complete story ...
Rating:
Reviews:
Review Article
  • October 09, 2008
    Reviewed by 'Sadiq'
    Statistical Static Timing Analysis: How simple can we get? - Technical Paper from DAC 2005


      Was this review helpful to you?   (Report this review as inappropriate)


For more discussions, follow this link …


Featured Video
Jobs
Sr. Mechanical Engineer for Kateeva at Newark, CA
Senior Design Engineer for Kaman at Gilbert, AZ
MECHANICAL ENGINEER for Peter R. Thom and Associates at ORINDA, CA
Mgr Mechanical Engineering 2 for Northrop Grumman at Melbourne, FL
Upcoming Events
Solidworks World 2017 at Los Angeles CA - Feb 5 - 8, 2017
Design & Manufacturing at Anaheim Convention Center Anaheim CA - Feb 7 - 9, 2017
ACE 2017 Nashville at Nashville TN - Mar 21 - 23, 2017
Innorobo 2017 at Docks de Paris Paris France - May 16 - 18, 2017
SolidCAM: Patented Wizard to optimal feeds & speeds
MasterCAM



Internet Business Systems © 2017 Internet Business Systems, Inc.
595 Millich Dr., Suite 216, Campbell, CA 95008
+1 (408)-337-6870 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation GISCafe - Geographical Information Services TechJobsCafe - Technical Jobs and Resumes ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy Policy Advertise