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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Detalles Bibliográficos
Autores principales: Putra, Rachmad Vidya Wicaksana, Hanif, Muhammad Abdullah, Shafique, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130579/
https://www.ncbi.nlm.nih.gov/pubmed/37123371
http://dx.doi.org/10.3389/fnins.2023.1159440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130579/
https://www.ncbi.nlm.nih.gov/pubmed/37123371
http://dx.doi.org/10.3389/fnins.2023.1159440

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