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
Link To Document :
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