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Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
Ramzi A Jaber1, Ali M Haidar2, Abdallah Kassem3
1Electrical and Electronic Engineering Department, Lebanese University, Hadath 40016, Lebanon.
Micromachines
|May 27, 2023
Summary
We designed new Ternary Full Adders (TFA) using fewer Carbon Nanotube Field-Effect Transistors (CNFETs) to reduce energy consumption and improve performance in ternary circuits.
Area of Science:
- Electrical Engineering
- Computer Engineering
- Nanotechnology
Background:
- Ternary Full Adders (TFA) are crucial components in ternary logic systems.
- Existing TFA designs using Carbon Nanotube Field-Effect Transistors (CNFETs) often have high transistor counts and energy consumption.
- Optimization is needed for efficient ternary arithmetic circuits.
Purpose of the Study:
- To propose novel, optimized Ternary Full Adder (TFA) designs using CNFETs.
- To reduce transistor count and energy consumption in ternary adders.
- To develop efficient 4-trit Ripple Carry Adders (RCA) based on the new TFA designs.
Main Methods:
- Developed two new TFA designs (TFA1 with 59 CNFETs, TFA2 with 55 CNFETs) utilizing unary operator gates and dual voltage supplies (Vdd, Vdd/2).
- Integrated the proposed TFAs into two 4-trit Ripple Carry Adders (RCA).
- Simulated the circuits using HSPICE with 32 nm CNFET technology under varying voltages, temperatures, and output loads.
Main Results:
- The proposed TFA designs achieved a significant reduction in energy consumption (Power Delay Product - PDP) by over 41%.
- The Energy Delay Product (EDP) was reduced by over 64%, indicating substantial improvements in energy efficiency and speed.
- The new designs outperform existing state-of-the-art ternary adder circuits in terms of energy efficiency.
Conclusions:
- The novel TFA designs offer a more efficient approach to ternary arithmetic circuit implementation.
- The proposed designs demonstrate significant reductions in power consumption and energy-delay product.
- These optimized CNFET-based ternary adders hold promise for low-power ternary computing applications.
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