A Novel FeFET-Based Multibit Content Addressable Memory Through Thermometer Encoding for Manhattan Distance Metric with High Area- and Energy-Efficiency

In this work, a novel ferroelectric FET (FeFET)-based multibit content addressable memory (MCAM) through modified thermometer encoding (TE), for Manhattan distance (MD) metric is proposed for the first time. By utilizing the multilevel storage of FeFET and the modified TE scheme, the arbitrary bit-length MD metric can be implemented with ultra-low hardware cost and power consumption. Moreover, an enhanced FeFET MCAM cell, which is more suitable for the proposed modified TE scheme, is further introduced to improve the MD metric precision and reliability when expanding the bit length of MD. Based on the proposed design, the MD metric is demonstrated with 4.5×/34.8× area-efficiency and 66.7×/7.9× energy-efficiency improvements compared with conventional CMOS-based digital/CAM design, showing its great potential for MD-based applications.

Authors

Institutions

Publication Details

Published
2025-03-09
DOI
https://doi.org/10.1109/edtm61175.2025.11040605
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel FeFET-Based Multibit Content Addressable Memory Through Thermometer Encoding for Manhattan Distance Metric with High Area- and Energy-Efficiency

Qianqian Huang, Weikai Xu, Ru Huang, Zeyu Zhang
Advanced Memory and Neural Computing
article

A Novel FeFET-Based Multibit Content Addressable Memory Through Thermometer Encoding for Manhattan Distance Metric with High Area- and Energy-Efficiency

Qianqian Huang, Weikai Xu, Ru Huang, Zeyu Zhang
article en

Abstract

In this work, a novel ferroelectric FET (FeFET)-based multibit content addressable memory (MCAM) through modified thermometer encoding (TE), for Manhattan distance (MD) metric is proposed for the first time. By utilizing the multilevel storage of FeFET and the modified TE scheme, the arbitrary bit-length MD metric can be implemented with ultra-low hardware cost and power consumption. Moreover, an enhanced FeFET MCAM cell, which is more suitable for the proposed modified TE scheme, is further introduced to improve the MD metric precision and reliability when expanding the bit length of MD. Based on the proposed design, the MD metric is demonstrated with 4.5×/34.8× area-efficiency and 66.7×/7.9× energy-efficiency improvements compared with conventional CMOS-based digital/CAM design, showing its great potential for MD-based applications.

Peking University (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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.

A Novel FeFET-Based Multibit Content Addressable Memory Through Thermometer Encoding for Manhattan Distance Metric with High Area- and Energy-Efficiency — Qianqian Huang, Weikai Xu, et al. · (2025) | TGRS Research Map | TGRS