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Toward a systematic-variation aware timing methodology
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 41st annual Design Automation Conference table of contents
San Diego, CA, USA
SESSION: Design for manufacturing table of contents
Pages: 321 - 326  
Year of Publication: 2004
ISBN:1-58113-828-8
Authors
Puneet Gupta  UC San Diego, CA
Fook-Luen Heng  IBM T.J. Watson Research Center, Yorktown Heights, NY
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 23,   Citation Count: 12
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ABSTRACT

Variability of circuit performance is becoming a very important issue for ultra-deep sub-micron technology. Gate length variation has the most direct impact on circuit performance. Since many factors contribute to the variability of gate length, recent studies have modeled the variability using Gaussian distributions. In reality, the through-pitch and through-focus variations of gate length are systematic. In this paper, we propose a timing methodology which takes these systematic variations into account and we show that it can reduce the timing uncertainty by up to 40%.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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A.B. Agrawal, D. Blaauw, V. Zolotov, and S. Vrudhula, "Statistical timing analysis using bounds and selective enumeration", Proc. Design Automation Conference, 2003, pp. 348--353.
 
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William Chu, IBM Corp., Personal Communication, July 2003.
 
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CITED BY  12

Collaborative Colleagues:
Puneet Gupta: colleagues
Fook-Luen Heng: colleagues