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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Principais autores:	Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-04-01
coleção:	Frontiers in Neuroscience
Assuntos:	spiking neural networks accelerators fault tolerance manufacturing defects reliability resilience
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1159440/full
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