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Width-dependent statistical leakage modeling for random dopant induced threshold voltage shift
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 44th annual Design Automation Conference table of contents
San Diego, California
SESSION: Leakage power analysis and optimization table of contents
Pages: 87 - 92  
Year of Publication: 2007
ISBN ~ ISSN:0738-100X , 978-1-59593-627-1
Authors
Jie Gu  University of Minnesota, Minneapolis, MN
Sachin S. Sapatnekar  University of Minnesota, Minneapolis, MN
Chris Kim  University of Minnesota, Minneapolis, MN
Sponsors
: The EDA Consortium
: IEEE/CASS/CANDE/CEDA
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): 30,   Citation Count: 1
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ABSTRACT

Statistical behavior of device leakage and threshold voltage shows a strong width dependency under microscopic random dopant fluctuation. Leakage estimation using the conventional square-root method shows a discrepancy as large as 45% compared to the real case because it fails to model the effective VT shift in the subthreshold region. This paper presents a width-dependent statistical leakage model with an estimation error less than 5%. Design examples on SRAMs and domino circuits demonstrate the significance of the proposed model.


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:
Jie Gu: colleagues
Sachin S. Sapatnekar: colleagues
Chris Kim: colleagues