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A novel energy efficient 4-bit vedic multiplier using modified GDI approach at 32 nm technology
K Nishanth Rao1, D Sudha2, Osamah Ibrahim Khalaf3
1Department of ECE, MLR Institute of Technology, Hyderabad, India.
Heliyon
|December 13, 2024
Summary
This study compares 4-bit Vedic multipliers using Gate Diffusion Input (GDI), CMOS, and Transmission Gate (TG) technologies. GDI technology demonstrated superior performance in delay, area, and power consumption.
Area of Science:
- Digital circuit design
- VLSI technology
- Computer arithmetic
Background:
- Multipliers are critical for integrated circuits, impacting efficiency and performance.
- Vedic multipliers offer inherent speed and efficiency based on ancient Indian mathematics.
- Optimizing multiplier design is key for advanced computational tasks.
Purpose of the Study:
- To analyze and compare 4-bit Vedic multiplier designs using GDI, CMOS, and TG technologies.
- To evaluate performance, area, and power consumption across different adder architectures (RCA, CLA, CSA).
- To identify the most effective technology and adder combination for efficient multiplier implementation.
Main Methods:
- Designing and optimizing 4-bit Vedic multipliers in GDI, CMOS, and TG technologies.
- Integrating various adder architectures: Ripple Carry Adder (RCA), Carry Lookahead Adder (CLA), and Carry Skip Adder (CSA).
- Evaluating designs using parameters like transistor count, delay, power dissipation, and power-delay product (PDP) in 32 nm technology via Tanner EDA.
Main Results:
- Gate Diffusion Input (GDI) technology showed significant advantages over CMOS and TG.
- GDI-based Vedic multipliers exhibited lower delay, reduced area, and decreased power consumption.
- The study quantified improvements in Power-Delay Product (PDP) favoring GDI implementations.
Conclusions:
- GDI technology presents a highly effective approach for designing efficient 4-bit Vedic multipliers.
- The choice of technology and adder architecture significantly impacts circuit performance metrics.
- This research provides valuable insights for optimizing digital signal processing and arithmetic circuit designs.
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