Neural Network Training Acceleration With RRAM-Based Hybrid Synapses

Neural Network Training Acceleration With RRAM-Based Hybrid Synapses

Hardware neural network (HNN) based on analog synapse array excels in accelerating parallel computations. To implement an energy-efficient HNN with high accuracy, high-precision synaptic devices and fully-parallel array operations are essential. However, existing resistive memory (RRAM) devices can...

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Bibliographic Details
Main Authors: Wooseok Choi, Myonghoon Kwak, Seyoung Kim, Hyunsang Hwang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neuroscience
Subjects:
hardware neural networks
online training
resistive memory
hybrid synapse
crossbar array
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.690418/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.690418/full

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