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

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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Bibliographic Details
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
Description
Summary:10.1109/JIOT.2021.3058015

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