Approximate Parallel Prefix Adders for Image Processing Applications

Project Code :TVMAFE679

Objective

The objective of this project is to design and develop approximate parallel prefix adders aimed at achieving efficient and high-speed performance for image processing applications. The focus is on optimizing the trade-off between computational accuracy, power consumption, and delay through controlled approximation techniques. Various parallel prefix adder architectures will be designed, analyzed, and compared based on key performance parameters such as area, delay, and power. Simulation and verification will be performed to ensure the functional correctness and efficiency of the proposed designs. The ultimate goal is to realize low-power, high-performance adders suitable for real-time image and multimedia processing systems.

Abstract

Abstract:

Approximate computing has emerged as a powerful solution for error-tolerant applications where perfect accuracy is not mandatory. Among arithmetic units, parallel prefix adders (PPAs) are preferred for high-speed operations due to their efficient carry generation and propagation. This work proposes novel approximate prefix operations (AxPOs) and integrates them into four PPA architectures.

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