1
Return

Programmable Threshold Logic Implementations in a Memristor Crossbar Array

delete2024-03-12
delete7
PRE
AI
S
Sangwook Youn
J
Jungjin Lee
S
Sungjoon Kim
J
Jinwoo Park
K
Kyuree Kim
H
Hyungjin Kim *
DOI:10.1021/acs.nanolett.3c04073delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this study, we demonstrate the implementation of programmable threshold logics using a 32 x 32 memristor crossbar array. Thanks to forming-free characteristics obtained by the annealing process, its accurate programming characteristics are presented by a 256-level grayscale image. By simultaneous subtraction between weighted sum and threshold values with a differential pair in an opposite way, 3-input and 4-input Boolean logics are implemented in the crossbar without additional reference bias. Also, we verify a full-adder circuit and analyze its fidelity, depending on the device programming accuracy. Lastly, we successfully implement a 4-bit ripple carry adder in the crossbar and achieve reliable operations by read-based logic operations. Compared to stateful logic driven by device switching, a 4-bit ripple carry adder on a memristor crossbar array can perform more reliably in fewer steps thanks to its read-based parallel logic operation.
Keywords:
memristors
neuromorphic
computing-in-memory
threshold logic
full adder

Journal

Nano Letters cover
Nano Letters
IF:
9.1
Papers:
2.7W
Citations:
16.5W

Organization

H
hanyang university
Scholars:
2.8W
Papers: 2.7W
Citations: 36
I
Inha University
Scholars:
1.1W
Papers: 1.1W
Citations: 1.1W
S
seoul national university (snu)
Scholars:
7.1W
Papers: 6.6W
Citations: 86
Cited Papers

Cited Papers

Citing Papers

Citing Papers