Energy-Efficient Approximate Full Adders Applying Memristive Serial IMPLY Logic For Image Processing

TL;DR

This paper introduces four memristive approximate full adders using IMPLY logic that significantly reduce energy consumption and computational steps, addressing memory and power limitations in image processing applications.

Contribution

The paper presents novel memristive approximate full adders employing IMPLY logic, achieving up to 40% fewer computational steps and 75% energy savings over existing designs.

Findings

Reduced computational steps by up to 40%

Energy consumption improved by 49%-75%

Acceptable image quality in processing applications

Abstract

Researchers and designers are facing problems with memory and power walls, considering the pervasiveness of Von-Neumann architecture in the design of processors and the problems caused by reducing the dimensions of deep sub-micron transistors. Memristive Approximate Computing (AC) and In-Memory Processing (IMP) can be promising solutions to these problems. We have tried to solve the power and memory wall problems by presenting the implementation algorithm of four memristive approximate full adders applying the Material Implication (IMPLY) method. The proposed circuits reduce the number of computational steps by up to 40% compared to the state-of-the-art. The energy consumption of the proposed circuits improves over the previous exact ones by 49%-75% and over the approximate full adders by up to 41%. Multiple error evaluation criteria evaluate the computational accuracy of the proposed approximate full adders in three scenarios in the 8-bit approximate adder structure. The proposed approximate full adders are evaluated in three image processing applications in three scenarios. The results of application-level simulation indicate that the four proposed circuits can be applied in all three scenarios, considering the acceptable image quality metrics of the output images.