High speed low power multipliers based on reversible logic methods

Project Code :TVMAFE607

Objective

Increase Operational Speed: High-speed operation is crucial for modern computing applications, including real-time processing, high-performance computing, and data-intensive tasks. Reversible logic methods can potentially offer faster computation by minimizing the propagation delay across logic gates, thereby enhancing the speed of multiplication operations.

Abstract

The focus of this research is to develop multipliers with enhanced characteristics, specifically aiming for higher speed, reduced power consumption, and lower complexity in the lower range. The approach involves leveraging reversible logic, a concept increasingly applied in various fields such as multipliers, low-power CMOS circuits, optical data processing, and quantum circuits.In this study, reversible logic is employed in conjunction with Vedic mathematics Notably, the proposed multipliers utilize established logical principles like the reversible Half Adder, reversible Full Adder, Dual Key Gate, and Kogge Stone Adder. These principles contribute to the efficiency and performance of the multipliers.To ensure superior performance, the research categorizes multiple multipliers based on reversible logic circuits. The designed multipliers are then simulated and synthesized using the Xilinx VIVADO method. The outcomes of these simulations are thoroughly investigated to validate and understand the performance and efficiency of the proposed multiplier designs.

Index Terms: Baugh Wooley Multiplier, Full Adder, Half adder, Reversible Logic, Vedic mathematics

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Requirements:

·         Tool: Xilinx Vivado

·         HDL: Verilog

Hardware Requirements:

  • Microsoft® Windows XP
  • Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
  • 512 MB RAM
  • 100 MB of available disk space

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