DocumentCode :
1973092
Title :
Sizing and optimization of low power process variation aware standard cells
Author :
Abbas, Zia ; Khalid, Usman ; Olivieri, Mauro
Author_Institution :
Dept. of Inf., Electron. & Telecommun. Eng., Sapienza Univ. of Rome, Rome, Italy
fYear :
2013
fDate :
13-17 Oct. 2013
Firstpage :
181
Lastpage :
184
Abstract :
The yield of low voltage digital circuits based on standard cell design is found to be sensitive to local gate delay and power variations due to uncorrelated intra-die parameter fluctuations. Caused by random nature of doping positions they lead to more pronounced deviations for minimum transistor sizes. The basic idea of this work is to optimize the transistor level single standard cells by making the cells more resistant for process variations.
Keywords :
Monte Carlo methods; circuit optimisation; digital integrated circuits; integrated circuit design; low-power electronics; Monte Carlo analysis; local gate delay; low power process variation; low voltage digital circuits; optimization; standard cell design; transistor level designs; uncorrelated intradie parameter fluctuations; Integrated circuit modeling; Monte Carlo methods; Optimization; Robustness; Standards; Transistors; Monte Carlo; Process variations; Standard Cells; Worst Case Distance; Yield; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Reliability Workshop Final Report (IRW), 2013 IEEE International
Conference_Location :
South Lake Tahoe, CA
ISSN :
1930-8841
Print_ISBN :
978-1-4799-0350-4
Type :
conf
DOI :
10.1109/IIRW.2013.6804189
Filename :
6804189
Link To Document :
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