NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory

In this work, we proposed a three-dimensional (3-D) channel stacked array architecture based on charge-trap flash (CTF) memory for an artificial neural network accelerator. The proposed synapse array architecture could be a promising solution for implementing efficiently a large-size artificial neur...

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Main Authors: Jung Nam Kim, Jaehong Lee, Jo Eun Kim, Suck Won Hong, Minsuk Koo, Yoon Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of the Electron Devices Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9899406/
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author Jung Nam Kim
Jaehong Lee
Jo Eun Kim
Suck Won Hong
Minsuk Koo
Yoon Kim
author_facet Jung Nam Kim
Jaehong Lee
Jo Eun Kim
Suck Won Hong
Minsuk Koo
Yoon Kim
author_sort Jung Nam Kim
collection DOAJ
description In this work, we proposed a three-dimensional (3-D) channel stacked array architecture based on charge-trap flash (CTF) memory for an artificial neural network accelerator. The proposed synapse array architecture could be a promising solution for implementing efficiently a large-size artificial neural network on a limited-size hardware chip. We designed a full array architecture including a stacked layer selection circuit. In addition, we investigated the synaptic characteristics of CTF device by using technology computer-aided design (TCAD) simulation. We demonstrated the feasibility of the synapse array for neural network accelerators through a system-level MATLAB simulation with the Modified National Institute of Standards and Technology (MNIST) database.
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spelling doaj.art-e2270dbe337f460780bbd5f2f8e2d5672022-12-22T04:29:25ZengIEEEIEEE Journal of the Electron Devices Society2168-67342022-01-011081382010.1109/JEDS.2022.32082419899406NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash MemoryJung Nam Kim0Jaehong Lee1Jo Eun Kim2Suck Won Hong3Minsuk Koo4https://orcid.org/0000-0003-2522-6754Yoon Kim5https://orcid.org/0000-0002-4837-8411School of Electrical and Computer Engineering, University of Seoul, Seoul, South KoreaSamsung Electronics Company Ltd., Hwaseong, South KoreSchool of Electrical and Computer Engineering, University of Seoul, Seoul, South KoreaDepartment of Optics and Mechatronics Engineering, Pusan National University, Busan, South KoreaDepartment of Computer Science and Engineering, Incheon National University, Incheon, South KoreaSchool of Electrical and Computer Engineering, University of Seoul, Seoul, South KoreaIn this work, we proposed a three-dimensional (3-D) channel stacked array architecture based on charge-trap flash (CTF) memory for an artificial neural network accelerator. The proposed synapse array architecture could be a promising solution for implementing efficiently a large-size artificial neural network on a limited-size hardware chip. We designed a full array architecture including a stacked layer selection circuit. In addition, we investigated the synaptic characteristics of CTF device by using technology computer-aided design (TCAD) simulation. We demonstrated the feasibility of the synapse array for neural network accelerators through a system-level MATLAB simulation with the Modified National Institute of Standards and Technology (MNIST) database.https://ieeexplore.ieee.org/document/9899406/3-D stacked synapse arrayneuromorphic systemartificial neural networksynapse arraysynapse deviceCTF memory
spellingShingle Jung Nam Kim
Jaehong Lee
Jo Eun Kim
Suck Won Hong
Minsuk Koo
Yoon Kim
NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
IEEE Journal of the Electron Devices Society
3-D stacked synapse array
neuromorphic system
artificial neural network
synapse array
synapse device
CTF memory
title NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
title_full NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
title_fullStr NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
title_full_unstemmed NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
title_short NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
title_sort nor type 3 d synapse array architecture based on charge trap flash memory
topic 3-D stacked synapse array
neuromorphic system
artificial neural network
synapse array
synapse device
CTF memory
url https://ieeexplore.ieee.org/document/9899406/
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