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Low energy, low latency and high speed array divider circuit using a shannon theorem based adder cell.
Chinnaiyan Senthilpari1, Krishnamoorthy Diwakar, Ajay K Singh
1Faculty of Engineering & Technology, Multimedia University, Jalan Ayer Keroh lama, 75450 Melaka, Malaysia. c.senthilpari@mmu.edu.my
This study introduces a novel 1-bit full adder circuit based on Shannon theorem, enhancing the performance of Non-Restoring and Restoring divider circuits. The new design offers lower power consumption and improved speed compared to existing methods.
Area of Science:
- Digital circuit design
- VLSI (Very Large Scale Integration) design
- Computer arithmetic
Background:
- Full adders are fundamental components in digital systems, crucial for arithmetic operations.
- Divider circuits, essential for computation, rely on efficient adder implementations.
- Existing adder designs present trade-offs in power, speed, and latency.
Purpose of the Study:
- To design and evaluate a novel 1-bit full adder circuit utilizing Shannon theorem.
- To integrate the proposed full adder into Non-Restoring and Restoring divider circuits.
- To compare the performance of the Shannon-based divider with conventional designs.
Main Methods:
- Circuit schematics designed using DSCH2 CAD tool.
- Layout generation performed with Microwind 3 VLSI CAD tool.
- Standard CMOS 0.35 micrometer technology and 3.5 V power supply utilized.
- BSIM 4 analysis for parameter evaluation.
- Comparative analysis against CPL and CMOS adder cell based divider circuits.
Main Results:
- The Shannon-based divider circuit demonstrates lower power dissipation.
- Faster response times and reduced latency were observed.
- Lower energy-per-instruction (EPI) and higher throughput achieved.
- Performance validated against published results.
Conclusions:
- The proposed 1-bit full adder based on Shannon theorem offers superior performance metrics.
- This design provides a more efficient component for implementing divider circuits.
- The findings suggest a promising alternative for low-power, high-speed digital arithmetic.
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