Design of High Speed Sense Amplifiers for SRAM IC

In today's tech-driven landscape, semiconductor chips are critical to the functionality of most modern devices, requiring compact designs and low power consumption for efficient data storage and memory. SRAM (Static Random Access Memory) is key to meeting these demands. This study leverages Cadence Virtuoso software to design a high-performance sense amplifier circuit specifically tailored for low-power SRAM applications. Various power reduction strategies were explored, resulting in an optimized solution within a redesigned SRAM architecture. The study analyzes the impact of power consumption and response time of the proposed sense amplifier by adjusting key parameters, such as the transistor width-to-length (W/L) ratio, power supply, and nanoscale technology. Detailed metrics on power usage and transistor count for different configurations are presented to identify the most effective approach. Our proposed low-power sense amplifier design shows promising results, incorporating three VLSI power reduction techniques to enhance efficiency. These innovations in low-power SRAM are poised to advance memory-centric neuromorphic computing applications.

Authors

Publication Details

Journal
Nanotechnology Perceptions
Published
2024-12-01
DOI
https://doi.org/10.62441/nano-ntp.vi.3431
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
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article

Design of High Speed Sense Amplifiers for SRAM IC

Vishal Yadav, Ravi Prakash, Ajay Kumar Maurya, Kavita Singh
Nanotechnology Perceptions
VLSI and Analog Circuit Testing
article

Design of High Speed Sense Amplifiers for SRAM IC

Vishal Yadav, Ravi Prakash, Ajay Kumar Maurya, Kavita Singh
article en

Abstract

In today's tech-driven landscape, semiconductor chips are critical to the functionality of most modern devices, requiring compact designs and low power consumption for efficient data storage and memory. SRAM (Static Random Access Memory) is key to meeting these demands. This study leverages Cadence Virtuoso software to design a high-performance sense amplifier circuit specifically tailored for low-power SRAM applications. Various power reduction strategies were explored, resulting in an optimized solution within a redesigned SRAM architecture. The study analyzes the impact of power consumption and response time of the proposed sense amplifier by adjusting key parameters, such as the transistor width-to-length (W/L) ratio, power supply, and nanoscale technology. Detailed metrics on power usage and transistor count for different configurations are presented to identify the most effective approach. Our proposed low-power sense amplifier design shows promising results, incorporating three VLSI power reduction techniques to enhance efficiency. These innovations in low-power SRAM are poised to advance memory-centric neuromorphic computing applications.

Nanotechnology Perceptions
Affordable and clean energy
Openalex Percentile: Top 76%
VLSI and Analog Circuit Testing
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