High-Speed Low-Power Arithmetic Logic Unit (ALU) Design Using CMOS Technology

Authors

  • 1Dr.V Venkanna, 2Dr.Radha Krishna An Author

DOI:

https://doi.org/10.64751/

Abstract

The High-Speed Low-Power Arithmetic Logic Unit (ALU) Design Using CMOS Technology focuses on developing an efficient digital processing unit capable of performing arithmetic and logical operations with reduced power consumption and improved operating speed. As the demand for portable, battery-powered, and high-performance electronic devices continues to grow, designing energy-efficient hardware has become a critical challenge in modern Very Large Scale Integration (VLSI) systems. CMOS (Complementary MetalOxide-Semiconductor) technology is widely adopted due to its low static power dissipation, high noise immunity, and excellent scalability, making it an ideal choice for implementing advanced ALU architectures. This project proposes a CMOS-based ALU that integrates optimized arithmetic operations such as addition, subtraction, increment, decrement, multiplication, and logical operations including AND, OR, XOR, NOT, NAND, NOR, and comparison functions. The design emphasizes minimizing propagation delay, switching power, and silicon area through transistor-level optimization and efficient logic implementation. Performance evaluation is carried out using VLSI design and simulation tools to analyze key metrics such as power consumption, delay, area utilization, and power-delay product (PDP). The experimental results demonstrate that the proposed CMOS ALU achieves faster computation speeds while consuming significantly less power compared to conventional ALU designs. This design is well suited for applications in microprocessors, digital signal processors (DSPs), embedded systems, and Internet of Things (IoT) devices, where energy efficiency and high computational performance are essential.

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Published

2025-06-30

How to Cite

1Dr.V Venkanna, 2Dr.Radha Krishna An. (2025). High-Speed Low-Power Arithmetic Logic Unit (ALU) Design Using CMOS Technology. International Journal of Data Science and IoT Management System, 4(3), 408–416. https://doi.org/10.64751/