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Reseach Article

SNM Analysis of 6T SRAM at 32NM and 45NM Technique

by Anurag Dandotiya, Amit S. Rajput
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 7
Year of Publication: 2014
Authors: Anurag Dandotiya, Amit S. Rajput
10.5120/17198-7398

Anurag Dandotiya, Amit S. Rajput . SNM Analysis of 6T SRAM at 32NM and 45NM Technique. International Journal of Computer Applications. 98, 7 ( July 2014), 30-34. DOI=10.5120/17198-7398

@article{ 10.5120/17198-7398,
author = { Anurag Dandotiya, Amit S. Rajput },
title = { SNM Analysis of 6T SRAM at 32NM and 45NM Technique },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 7 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number7/17198-7398/ },
doi = { 10.5120/17198-7398 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:37.286913+05:30
%A Anurag Dandotiya
%A Amit S. Rajput
%T SNM Analysis of 6T SRAM at 32NM and 45NM Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 7
%P 30-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we analyze the effect of SNM dependent on different parameter in read mode and write mode. We analyze SNM of different modulation like cell ratio (CR), voltage supply (Vdd), word line (WL) and bit line (BL) by spice tools using BPTM Low Power model in different technologies. We define the read margin to characterize the SRAM cells read stability. Many researchers use only 45nm technology, but we are scaling down the technologies which is more stability for the circuit. Actually stability of SRAM cell only depends on the static noise margin (SNM) and SNM is effect the stability of SRAM cell during read operation of SRAM cells.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SNM Analysis