Title
One-Sided Static Noise Margin and Gaussian-Tail-Fitting Method for SRAM
Abstract
In this paper, we propose a method to estimate the read failure rate of a static random access memory (SRAM) cell. Conventional read stability metrics cannot accurately estimate the read failure probability as technology scales down, because some metrics cannot characterize read stability and others can no longer be approximated to a known distribution. We first introduce a one-sided static noise margin (OSNM), whose lower tail region follows a Gaussian distribution, and also propose a Gaussian-tail-fitting method that properly models the distribution of the OSNM at the tail region. It is demonstrated that the OSNM can accurately estimate the SRAM cell yield using the proposed Gaussian-tail-fitting method.
Year
DOI
Venue
2014
10.1109/TVLSI.2013.2268543
IEEE Transactions on Very Large Scale Integration Systems
Keywords
Field
DocType
one sided static noise margin,integrated circuit reliability,read failure probability,yield estimation,static random access memory cell,gaussian tail-fitting method,sram chips,sram cell yield,yield estimation.,gaussian distribution,read stability metrics,integrated circuit noise,read failure rate,static random access memory (sram),read stability
Tail region,Static noise margin,Computer science,Failure rate,Electronic engineering,Static random-access memory,Real-time computing,Gaussian,Sram cell
Journal
Volume
Issue
ISSN
22
6
1063-8210
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Hanwool Jeong1428.47
Younghwi Yang2195.15
Junha Lee322.43
Jisu Kim421128.11
Seong-ook Jung533253.74