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Reseach Article

Super-Fast Low Power (SFLP) SRAM Cell for Read/Write Operation

by C. M. R. Prabhu, Ajay Kumar Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 5
Year of Publication: 2013
Authors: C. M. R. Prabhu, Ajay Kumar Singh
10.5120/13240-0681

C. M. R. Prabhu, Ajay Kumar Singh . Super-Fast Low Power (SFLP) SRAM Cell for Read/Write Operation. International Journal of Computer Applications. 76, 5 ( August 2013), 1-5. DOI=10.5120/13240-0681

@article{ 10.5120/13240-0681,
author = { C. M. R. Prabhu, Ajay Kumar Singh },
title = { Super-Fast Low Power (SFLP) SRAM Cell for Read/Write Operation },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 5 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number5/13240-0681/ },
doi = { 10.5120/13240-0681 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:05.098636+05:30
%A C. M. R. Prabhu
%A Ajay Kumar Singh
%T Super-Fast Low Power (SFLP) SRAM Cell for Read/Write Operation
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 5
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a Super-Fast Low-Power (SFLP) static random access memory (SRAM) cell has been proposed. The SFLP cell contains two tail transistors in the pull-down path of the respective inverter to minimize the write power consumption The cell is simulated in terms of speed, power and read stability. The simulated results show that the read and write power of the proposed cell is reduced up to 38% and 55% at 1. 2 V respectively and cell achieves 2. 2x higher read static noise margin (SNM) compared to the conventional 6T SRAM cell.

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Index Terms

Computer Science
Information Sciences

Keywords

Static random access memory PD-SOI Write power Write/read performance Read SNM