ACM Home Page
Please provide us with feedback. Feedback
Is statistical timing statistically significant?
Full text PdfPdf (98 KB)
Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 41st annual Design Automation Conference table of contents
San Diego, CA, USA
PANEL SESSION: Is statistical timing statistically significant? table of contents
Pages: 498 - 498  
Year of Publication: 2004
ISBN:1-58113-828-8
Authors
C. Bittlestone  Texas Instruments, Inc.
A. Bootehsaz  Synopsys, Inc.
S. Y. Borkar  Intel Corp.
E. Chen  TSMC
L. Scheffer  Cadence Design Systems, Inc.
C. Visweswariah  IBM Corp.
Moderators
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 11,   Citation Count: 0
Additional Information:

abstract   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/996566.996757
What is a DOI?

ABSTRACT

Process variations - which affect critical electrical parameters and lead to both random and systematic changes in circuit performance - have always posed significant challenges to semiconductor design. In the past, within-die process variation was relatively small, and methods such as corner-based analysis were sufficient. This allowed timing analysis tools to calculate delays, slew times, coupling and power in a straightforward way. Today, the International Technology Roadmap for Semiconductors suggests that the semiconductor industry's historical ability to control process variations is under siege, for both devices and interconnects. As statistical variation increases, will corner-casing lead to too much conservatism, and hence a requirement for new statistical timing and noise analysis tools? In other words, is the design flow inevitably moving to "delay is no longer a number; it's a distribution"? Or are the urgency and the advantages of statistical timing analysis overstated.

Collaborative Colleagues:
C. Bittlestone: colleagues
A. Bootehsaz: colleagues
S. Y. Borkar: colleagues
E. Chen: colleagues
L. Scheffer: colleagues
C. Visweswariah: colleagues
Rich Goldman: colleagues
Kurt Keutzer: colleagues