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Computation of accurate interconnect process parameter values for performance corners under process variations
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 43rd annual Design Automation Conference table of contents
San Francisco, CA, USA
SESSION: Session 45: design/technology interaction table of contents
Pages: 797 - 800  
Year of Publication: 2006
ISBN:1-59593-381-6
Authors
Frank Huebbers  Northwestern U., Evanston, IL
Ali Dasdan  Yahoo!, Sunnyvale, CA
Yehea Ismail  Northwestern U., Evanston, IL
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 32,   Citation Count: 3
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ABSTRACT

This paper introduces a fast analytical model for determining accurate parasitic values for best- and worst-case delays of a stage under interconnect process variations. The inputs to the model are the nominal values for each interconnect and device parameter and the amount of variation in each interconnect parameter. The outputs of the model are the interconnect parameter dimensions within the range of process variation that yield the best- and worst-case delay of a stage. Simulations show that our model accurately predicts the performance corners of a stage while those predicted by traditional best/worst-case analysis methodologies can have an error of up to 28.42%.


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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Collaborative Colleagues:
Frank Huebbers: colleagues
Ali Dasdan: colleagues
Yehea Ismail: colleagues