A Sliding‐Kernel Computation‐In‐Memory Architecture for Convolutional Neural Network

A Sliding‐Kernel Computation‐In‐Memory Architecture for Convolutional Neural Network

Abstract Presently described is a sliding‐kernel computation‐in‐memory (SKCIM) architecture conceptually involving two overlapping layers of functional arrays, one containing memory elements and artificial synapses for neuromorphic computation, the other is used for storing and sliding convolutional...

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Bibliographic Details
Main Authors: Yushen Hu, Xinying Xie, Tengteng Lei, Runxiao Shi, Man Wong
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Advanced Science
Subjects:
convolutional computing
convolutional neural network
metal‐oxide
neuromorphic computing
thin film transistor
Online Access:https://doi.org/10.1002/advs.202407440
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