Scinovex
articleTop 10% cited

Static-noise margin analysis of MOS SRAM cells

IEEE Journal of Solid-State Circuits · 1987 · Vol. 22(5) · pp. 748–754
E. SeevinckF.J. ListJ. Lohstroh

Abstract

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. The expressions are useful in predicting the effect of parameter changes on the stability as well as in optimizing the design of SRAM cells. An easy-to-use SNM simulation method is presented, the results of which are in good agreement with the results predicted by the analytic SNM expressions. It is further concluded that full-CMOS cells are much more stable than R-local cells at a low supply voltage.

Low-power high-performance VLSI designAdvancements in Semiconductor Devices and Circuit DesignSemiconductor materials and devicesStatic random-access memoryResistorMargin (machine learning)CMOSPhase marginVoltageNoise (video)Stability (learning theory)Noise marginFunction (biology)
Citations
1,415
FWCI
7.96
field-weighted impact
References
10
Percentile
98%
vs. same field & year
Citations per year
Cited by
In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array
IEEE Journal of Solid-State Circuits · 2017 · 508 citations
The impact of intrinsic device fluctuations on CMOS SRAM cell stability
IEEE Journal of Solid-State Circuits · 2001 · 680 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

Static-noise margin analysis of MOS SRAM cells · Scinovex