High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks

10.1109/JIOT.2021.3058015

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Main Authors:	EVGENY ZAMBURG, LI YIDA, THEAN VOON YEW, AARON
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Language:	English
Published:	IEEE 2021
Subjects:	Deep Neural Nets Memristors System Design DTCO for IoT In-memory compute
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/200432
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-200432
record_format	dspace
spelling	sg-nus-scholar.10635-2004322023-08-30T22:24:38Z High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks EVGENY ZAMBURG LI YIDA THEAN VOON YEW, AARON ELECTRICAL AND COMPUTER ENGINEERING Deep Neural Nets Memristors System Design DTCO for IoT In-memory compute 10.1109/JIOT.2021.3058015 8 11 9219-9232 2021-09-09T07:15:51Z 2021-09-09T07:15:51Z 2021-02-09 Article EVGENY ZAMBURG, LI YIDA, THEAN VOON YEW, AARON (2021-02-09). High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks 8 (11) : 9219-9232. ScholarBank@NUS Repository. https://doi.org/10.1109/JIOT.2021.3058015 23274662 https://scholarbank.nus.edu.sg/handle/10635/200432 en CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ IEEE
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Deep Neural Nets Memristors System Design DTCO for IoT In-memory compute
spellingShingle	Deep Neural Nets Memristors System Design DTCO for IoT In-memory compute EVGENY ZAMBURG LI YIDA THEAN VOON YEW, AARON High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
description	10.1109/JIOT.2021.3058015
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING EVGENY ZAMBURG LI YIDA THEAN VOON YEW, AARON
format	Article
author	EVGENY ZAMBURG LI YIDA THEAN VOON YEW, AARON
author_sort	EVGENY ZAMBURG
title	High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
title_short	High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
title_full	High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
title_fullStr	High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
title_full_unstemmed	High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
title_sort	high throughput, area-efficient, and variation-tolerant 3d in-memory compute system for deep convolutional neural networks
publisher	IEEE
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/200432
_version_	1779154088482570240

High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks

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