Performance Analysis for Optimized ALU Design Using Carry Select Adder and Vedic Multiplier

Also Available Domains Arithmetic Core

Project Code :TVMAFE718

Objective

Design an Optimized ALU Architecture • Develop a 16-bit (or desired width) Arithmetic Logic Unit (ALU) that uses a Carry Select Adder (CSA) for addition/subtraction operations. • Integrate a Vedic Multiplier (based on Vedic mathematics, e.g., the Urdhva-Tiryakbhyam sutra) for multiplication operations to maximize speed and area efficiency.

Abstract

An Arithmetic Logic Unit (ALU) is a fundamental building block of modern processors and digital systems, responsible for performing arithmetic and logical operations. The overall performance of a processor is highly dependent on the speed, area, and power efficiency of its ALU. Conventional ALU designs typically employ ripple carry adders and array multipliers, which introduce significant propagation delay and increased power consumption. This project presents a performance-optimized ALU architecture using a Carry Select Adder (CSLA) for fast addition and a Vedic Multiplier based on the Urdhva Tiryakbhyam algorithm for high-speed multiplication. By integrating these optimized arithmetic units, the proposed ALU achieves reduced delay, improved throughput, and better power efficiency. The design is implemented using Verilog HDL and evaluated in terms of speed, area, and power, demonstrating its suitability for high-performance VLSI and DSP applications.

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

Software Requirements

Xilinx Vivado Design Suite (2020.2 or later)

Verilog HDL for RTL design

Vivado Simulator (XSIM) for functional and timing analysis

Hardware Requirements

  • Microsoft® Windows 10 / Windows 11 (64-bit)
  • Intel® Core™ i5 / i7 Processor or equivalent
  • Minimum 8 GB RAM
  • Minimum 500 MB free disk space

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