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International Journal of Circuit Theory and Applications
Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
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Low power and noise‐immune 9 T compute SRAM cell design based on differential power generator and Schmitt‐trigger logics with14 nm FinFET technology

Authors: Pushkar Praveen; Rakesh Kumar Singh;

Low power and noise‐immune 9 T compute SRAM cell design based on differential power generator and Schmitt‐trigger logics with14 nm FinFET technology

Abstract

AbstractThe excessive power usage in modern digital equipment is triggered by memory arrays, mainly including Static Random‐Access Memory (SRAM) chips. Many scientists are working to create an SRAM cell that is fast, highly stable, and uses little power. However, the traditional SRAM cells have instability and read/write failure at scaled technology nodes. This study proposes a Differential Power Schmitt‐Trigger Logic 9 Tcompute SRAM (DPSTL‐9 TCSRAM) cell design with high read‐and‐write stability and low energy consumption. In SRAM cells, the sensing amplifier (SA), pre‐charge circuit, row decoder, and column decoder are the primary operational elements. Through the use of a single‐bitline (SBL) configuration and a one‐sided Schmitt‐trigger (ST) inverter (STI), the proposed deisgn cell achieves an outstanding read stability performance. In this work, the differential Power Generation (DPG) technique is employed to improve the architecture's writing capacity. The standard AND gates are combined with Schmitt‐trigger logic AND gates to improve noise tolerance while consuming less power and taking up less space. Instead of using a power‐gating mechanism, this research focuses on modifying a power delay product (PDP) circuit to increase the cell's read‐and‐write operation efficiency. The modified decoupled SA plays a major role in the access time and provides significant benefits in terms of read latency. Tanner EDA Tool platform version 16.0 can be used to execute the specified design. The performance metrics of stability, area, latency, and power analysis are examined, and also, the Monte Carlo simulation and reliability simulation are conducetd to show the efficacy of the proposed design.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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