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Static Noise Margin Analysis for Cryo-CMOS SRAM Cell

2021 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT), 2021
In this work, we analyzed the static noise margin (SNM) of cryo-CMOS SRAM cells operated at superthreshold (Vdd = 0.75 V) and subthreshold (Vdd = 0.2 V) regions. The impact of the temperature and write-assist (WA) technique on the ultra-thin-body (UTB) SOI SRAM cell has been examined.
Vita Pi-Ho Hu, Chang-Ju Liu
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Alternate characterization technique for static random‐access memory static noise margin determination

International Journal of Circuit Theory and Applications, 2012
ABSTRACTThe cell static noise margin (SNM) is widely used as a stability criterion for static random‐access memory cells design. This parameter is typically determined through electrical simulations since direct experimental characterization of SNM is not achievable.In this work, we present a methodology that provides an indirect measurement of the SNM
José Luis Merino   +3 more
openaire   +2 more sources

The Static Noise Margin of SRAM cells

ESSCIRC '86: Twelfth European Solid-State Circuits Conference, 1986
A simulation method is presented which makes it possible to analyze the stability of SRAM cells in terms of Static Noise Margin (SNM). With this method the effect of supply voltage reduction below the conventional 5V on the stability of resistor load (R-load) and full CMOS (6T) SRAM cells is analyzed.
openaire   +1 more source

Static-noise margin analysis of MOS SRAM cells

IEEE Journal of Solid-State Circuits, 1987
The stability of both resistor-load (R-load) and full-CMOS SRAM cells is investigated analytically as well as by simulation. Explicit analytic expressions for the static-noise margin (SNM) as a function of device parameters and supply voltage are derived.
E. Seevinck, F.J. List, J. Lohstroh
openaire   +1 more source

Statistical Simulation of Static Noise Margin Variability in Static Random Access Memory

IEEE Transactions on Semiconductor Manufacturing, 2010
In this paper, we examine the impact of random-dopant-fluctuation (RDF), process-variation-effect (PVE), and workfunction-fluctuation (WKF), on 16-nm-gate metal-oxide-semiconductor field-effect-transistor (MOSFET) static random access memory (SRAM) cells.
Yiming Li, Hui-Wen Cheng, Ming-Hung Han
openaire   +1 more source

Estimation methods for static noise margins in CMOS subthreshold logic circuits

Proceedings of the 30th Symposium on Integrated Circuits and Systems Design: Chip on the Sands, 2017
Operating CMOS circuits at subthreshold supply voltages is an attractive solution for substantial energy reduction, at the expense of strong timing performance degradation, for a broad range of battery operated appliances. One of the challenges of this approach in current technology nodes is the reduced available noise margin when operating at low ...
Felipe T. Bortolon   +3 more
openaire   +2 more sources

Analytical Model of Static Noise Margin in CMOS SRAM for Variation Consideration

IEICE Transactions on Electronics, 2008
An analytical model of the static noise margin (SNM) for a 6T CMOS SRAM suitable for use in investigating the effect of random Vth variation is derived. A three-step approach using characteristic points of the half cell inverter's transfer curve is developed.
Hirofumi Shinohara   +2 more
openaire   +2 more sources

A compact and low-power SRAM with improved read static noise margin

2008 15th IEEE International Conference on Electronics, Circuits and Systems, 2008
An efficient static random access memory (SRAM) is presented in this paper. By using a newly developed architecture based on ldquopreequalizerdquo scheme, the geometry ratio between the pull-up and pull-down driver transistors of conventional 6-T cell will be similar to that of familiar inverter, thereby making the SRAM be provided with an improved ...
Cihun-Siyong Alex Gong   +4 more
openaire   +2 more sources

Static noise margin and power dissipation analysis of various SRAM topologies

2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), 2013
In this paper we analyze and compare 8 different SRAM cell topologies that are suitable for low power embedded memory design in terms of power consumption, area, static noise margin (SNM) and read and write delays, which are the basic parameters affecting the performance of an SRAM cell. The circuit simulation and analysis were carried out using HSPICE
Prajna Mishra, Eugene John, Wei-Ming Lin
openaire   +2 more sources

Stability and Static Noise Margin Analysis of Low-Power SRAM

2008 IEEE Instrumentation and Measurement Technology Conference, 2008
To overcome the read data destruction and to gain stability at Iow-VDD a seven-transistor (7T) SRAM cell is implemented and compared with the conventional six-transistor (6T) SRAM cell. To illustrate the robust performance of an 8-bit SRAM statistical simulation and data analysis by considering the process variations and mismatch was conducted for ...
Rajasekhar Keerthi, Chein-in Henry Chen
openaire   +1 more source

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