DocumentCode :
6758
Title :
Statistical Analysis of Read Static Noise Margin for Near/Sub-Threshold SRAM Cell
Author :
Saeidi, Rahim ; Sharifkhani, Mohammad ; Hajsadeghi, Khosrow
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume :
61
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
3386
Lastpage :
3393
Abstract :
A fast statistical method for the analysis of the Read SNM of a 6 T SRAM cell in near/subthreshold region is proposed. The method is based on the nonlinear behavior of the cell. DIBL and body effects are thoroughly considered in the derivation of an accurate closed form solution for the Read Static Noise Margin (SNM) of the near/subthreshold SRAM cell. This method uses the state space equation to derive the Read SNM of the cell as a function of threshold voltage of cell transistors. This function shows the dependency of the Read SNM on sizing, VDD, temperature, and threshold voltage variations. It provides a fast reliability analysis for a cell array of a given size and a supply voltage. It also calculates the accurate value of failure probability of the cell. The analytical results are verified using Monte-Carlo simulations in 45 nm Predictive Technology Models.
Keywords :
Monte Carlo methods; SRAM chips; failure analysis; integrated circuit noise; integrated circuit reliability; probability; statistical analysis; DIBL; Monte-Carlo simulation; SNM; cell transistor; failure probability; fast reliability analysis; fast statistical method; near-subthreshold 6T SRAM cell; predictive technology model; read static noise margin; size 45 nm; state space equation; threshold voltage variation; Analytical models; SRAM cells; Stability analysis; Standards; Thermal stability; Threshold voltage; Transistors; Analytical modeling; data stability in SRAM; failure probability; random dopant fluctuation (RDF); subthreshold;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-8328
Type :
jour
DOI :
10.1109/TCSI.2014.2327334
Filename :
6932492
Link To Document :
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