DocumentCode
3364286
Title
Advanced Statistical Methodology for 6T-SRAM Design
Author
Maufront, Cédric ; Ferrant, Richard
Author_Institution
STMicroelectronics, Crolles
fYear
2007
fDate
11-14 Dec. 2007
Firstpage
756
Lastpage
758
Abstract
As pointed out by several authors, classical 6T SRAM will face important issues partly due to process spreads leading to transistor mismatch. This becomes particularly relevant at the 45 nm node: the "classical" statistical hypotheses are no longer accurate enough to predict the memory yield and reliability. This paper presents a new statistical analysis method based on design of experiments (DOE) to work with sufficient confidence over the technology spreads. This method is very computationally efficient and provides the accuracy needed to reach customer specifications.
Keywords
SRAM chips; circuit reliability; design of experiments; network synthesis; 6T-SRAM design; design of experiments; memory yield; reliability; transistor mismatch; CMOS technology; Design methodology; Doping; Monte Carlo methods; Random access memory; Sampling methods; Statistical analysis; Threshold voltage; Transistors; US Department of Energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4244-1377-5
Electronic_ISBN
978-1-4244-1378-2
Type
conf
DOI
10.1109/ICECS.2007.4511101
Filename
4511101
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