RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults

To maximize the performance and energy efficiency of Spiking Neural Network (SNN) processing on resource-constrained embedded systems, specialized hardware accelerators/chips are employed. However, these SNN chips may suffer from permanent faults which can affect the functionality of weight memory a...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-04-01
Subjects:	spiking neural networks accelerators fault tolerance manufacturing defects reliability resilience
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1159440/full