A neural processing unit for self-organizing maps - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

A neural processing unit for self-organizing maps

Laurent Fiack
Benoit Miramond
Laurent Rodriguez

Résumé

Face to the limitations of the classical computation model, neuromorphic systems are envisaged as an alternative. Interesting properties of the neural systems are its highly parallel computation, and its self-organizing capabilities. In this paper, we study how to bring distribution in the hardware computation of these neural models, especially in the case of self-organizing maps. We propose a bio-inspired hardware substrate in which a grid of neural processing elements will support a set of neurocognitive processes. We describe an original distributed artificial neural network adapted to hardware scalability and provide the results of its implementation as a set of NPUs onto FPGA devices.
Fichier non déposé

Dates et versions

hal-01103418 , version 1 (14-01-2015)

Identifiants

  • HAL Id : hal-01103418 , version 1

Citer

Laurent Fiack, Benoit Miramond, Laurent Rodriguez. A neural processing unit for self-organizing maps. workshop on "Neuromorphic and Brain-Based Computing Systems", Mar 2015, Grenoble, France. ⟨hal-01103418⟩
137 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More