N2S3, an Open-Source Scalable Spiking ...
Document type :
Rapport de recherche
Title :
N2S3, an Open-Source Scalable Spiking Neuromorphic Hardware Simulator
Author(s) :
Boulet, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Devienne, Philippe [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Falez, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Polito, Guillermo [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Shahsavari, Mahyar [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Tirilly, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Devienne, Philippe [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Falez, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Polito, Guillermo [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Shahsavari, Mahyar [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Tirilly, Pierre [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Institution :
Université de Lille 1, Sciences et Technologies
CRIStAL UMR 9189
CRIStAL UMR 9189
Publication date :
2017-01-11
English keyword(s) :
simulation
neuromorphic architecture
SNN
SPiking neural networks
neuromorphic architecture
SNN
SPiking neural networks
HAL domain(s) :
Informatique [cs]/Réseau de neurones [cs.NE]
Informatique [cs]/Architectures Matérielles [cs.AR]
Informatique [cs]/Technologies Émergeantes [cs.ET]
Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Informatique [cs]/Architectures Matérielles [cs.AR]
Informatique [cs]/Technologies Émergeantes [cs.ET]
Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
English abstract : [en]
One of the most promising approaches to overcome the end of Moore's law is neuromorphic computing. Indeed, neural networks already have a great impact on machine learning applications and offer very nice properties to cope ...
Show more >One of the most promising approaches to overcome the end of Moore's law is neuromorphic computing. Indeed, neural networks already have a great impact on machine learning applications and offer very nice properties to cope with the problems of nanoelectronics manufacturing, such as a good tolerance to device variability and circuit defects, and a low activity, leading to low energy consumption. We present here N2S3 (for Neural Network Scalable Spiking Simulator), an open-source simulator that is built to help design spiking neuromorphic circuits based on nanoelectronics. N2S3 is an event-based simulator and its main properties are flexibility, extensibility, and scalability. One of our goals with the release of N2S3 as open-source software is to promote the reproducibility of research on neuromorphic hardware. We designed N2S3 to be used as a library, to be easily extended with new models and to provide a user-friendly special purpose language to describe the simulations.Show less >
Show more >One of the most promising approaches to overcome the end of Moore's law is neuromorphic computing. Indeed, neural networks already have a great impact on machine learning applications and offer very nice properties to cope with the problems of nanoelectronics manufacturing, such as a good tolerance to device variability and circuit defects, and a low activity, leading to low energy consumption. We present here N2S3 (for Neural Network Scalable Spiking Simulator), an open-source simulator that is built to help design spiking neuromorphic circuits based on nanoelectronics. N2S3 is an event-based simulator and its main properties are flexibility, extensibility, and scalability. One of our goals with the release of N2S3 as open-source software is to promote the reproducibility of research on neuromorphic hardware. We designed N2S3 to be used as a library, to be easily extended with new models and to provide a user-friendly special purpose language to describe the simulations.Show less >
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Anglais
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