Guaranteeing Spike Arrival Time in Multiboard & Multichip Spiking Neural Networks

Abstract : Large-scale spiking neural networks (SNN) are generally run on distributed and parallel architectures with multiple computation nodes. These architectures induce extra delays due to the node-to-node communication process. In multiboard & multichip SNNs, important delays may affect spike arrival time and, thus, can alter simulation results. In this work, we propose a method aiming to guarantee spike arrival time with arbitrary prefixed deadlines. The communication architecture is based on the token-passing access policy to grant access to shared communication channels. We show that several network parameters must be set carefully if spikes have to meet their deadlines. Parameters are chosen by taking into account the communication channel bandwidth, the arbitrary deadlines and the worst case situation that can happen in generating neural activity in SNNs. As proof of concept, we have built a system that emulates up to 120 analog Hodgkin-Huxley neurons spread across 6 boards. Experimental results show that whatever it happens (unless there is a network fault), spikes reach their destination with a maximum delay of 5 microseconds.
Type de document :
Communication dans un congrès
ISCAS 2010, May 2010, Paris, France. pp.377,378,379,380, 2010
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00504025
Contributeur : Chrystel Plumejeau <>
Soumis le : lundi 19 juillet 2010 - 16:06:22
Dernière modification le : jeudi 11 janvier 2018 - 06:21:06

Identifiants

  • HAL Id : hal-00504025, version 1

Citation

Bilel Belhadj, Jean Tomas, Olivia Malot, Yannick Bornat, Gilles N'Kaoua, et al.. Guaranteeing Spike Arrival Time in Multiboard & Multichip Spiking Neural Networks. ISCAS 2010, May 2010, Paris, France. pp.377,378,379,380, 2010. 〈hal-00504025〉

Partager

Métriques

Consultations de la notice

242