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Novel Low Power Cross-Coupled FET-Based Sense Amplifier Design for High-Speed SRAM Circuits
G Lakshmi Priya1,2, Puneet Saran2, Shikhar Kumar Padhy2
1Centre for Innovation and Product Development, Vellore Institute of Technology, Chennai 600127, India.
Micromachines
|March 29, 2023
Summary
This study presents a high-performance, low-power sense amplifier for Static Random-Access Memory (SRAM) using LTSpice. The optimized design reduces power consumption and reaction time, crucial for modern electronics and neuromorphic computing.
Area of Science:
- Electrical Engineering
- Computer Engineering
- Materials Science
Background:
- Semiconductor chips are integral to modern technology, with Static Random-Access Memory (SRAM) being crucial for data storage and memory.
- Key requirements for memory technologies include small footprint and low power consumption, especially for portable and advanced computing applications.
Purpose of the Study:
- To design and implement a high-performance sense amplifier circuit for low-power SRAM applications.
- To explore and optimize various power reduction techniques for SRAM sense amplifiers.
- To analyze the impact of design parameters on power consumption and reaction time.
Main Methods:
- Utilized LTSpice software for circuit simulation and design.
- Investigated and implemented several power reduction strategies.
- Analyzed the effects of transistor width-to-length (W/L) ratio, power supply, and nanoscale technology on performance.
- Evaluated different approaches to determine optimal power usage and transistor count.
Main Results:
- Developed a modified SRAM design incorporating an optimized low-power sense amplifier.
- Demonstrated promising results in reducing power consumption and improving reaction time.
- Quantified power usage and transistor requirements for various design techniques.
- Successfully applied three variations of Very-Large-Scale Integration (VLSI) power reduction techniques.
Conclusions:
- The proposed low-power sense amplifier design offers significant improvements in efficiency for SRAM.
- Optimized design parameters and VLSI techniques are effective in minimizing power consumption and enhancing performance.
- Low-power SRAMs are essential for the advancement of memory-centric applications, including neuromorphic computing.
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