A Novel Memristor-Based Majority Logic and Efficient Approximate Full Adder for Image Processing

The memristor, an emerging non-volatile memory device, is well-suited for in-memory computing (IMC) due to its capability to simultaneously store data and perform logic operations. Majority (MAJ) logic is a type of expressive Boolean logic that performs well in logic synthesis. This paper proposes a novel MAJ logic implementation scheme to improve the latency of n-bit full adder (FA) from 6n+1 to 5n+1. Additionally, an approximate computing approach is introduced, yielding an n-bit approximate adder with a significantly reduced delay of 2n+1, at the cost of precision. Both exact and approximate adders were verified experimentally, and the error quality metrics of the approximate design were thoroughly evaluated. Furthermore, hybrid configurations combining exact and approximate adders were applied to image processing tasks, where the peak signal-to-noise ratio (PSNR) for most hybrid designs remained within an acceptable range (>30dB).

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044245
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Memristor-Based Majority Logic and Efficient Approximate Full Adder for Image Processing

Fan Yang, Xingsheng Wang, Mengjie Li, Yifeng Xiong et al.
1 citations
Advanced Memory and Neural Computing
0.73
article

A Novel Memristor-Based Majority Logic and Efficient Approximate Full Adder for Image Processing

Fan Yang, Xingsheng Wang, Mengjie Li, Yifeng Xiong, Zhouchao Gan
article en
1 citations

Abstract

The memristor, an emerging non-volatile memory device, is well-suited for in-memory computing (IMC) due to its capability to simultaneously store data and perform logic operations. Majority (MAJ) logic is a type of expressive Boolean logic that performs well in logic synthesis. This paper proposes a novel MAJ logic implementation scheme to improve the latency of n-bit full adder (FA) from 6n+1 to 5n+1. Additionally, an approximate computing approach is introduced, yielding an n-bit approximate adder with a significantly reduced delay of 2n+1, at the cost of precision. Both exact and approximate adders were verified experimentally, and the error quality metrics of the approximate design were thoroughly evaluated. Furthermore, hybrid configurations combining exact and approximate adders were applied to image processing tasks, where the peak signal-to-noise ratio (PSNR) for most hybrid designs remained within an acceptable range (>30dB).

Wuhan National Laboratory for Optoelectronics (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced Memory and Neural Computing
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.