Algorithm and software for simulation of spiking neural networks on the multi-chip SpiNNaker system

Xin Jin, Francesco Galluppi, Cameron Patterson, Alexander Rast, Sergio Davies, Steve Temple, Steve Furber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the algorithm and software developed for parallel simulation of spiking neural networks on multiple SpiNNaker universal neuromorphic chips. It not only describes approaches to simulating neural network models, such as dynamics, neural representations, and synaptic delays, but also presents the software design of loading a neural application and initial a simulation on the multi-chip SpiNNaker system. A series of sub-issues are also investigated, such as neuron-processor allocation, synapses distribution, and route planning. The platform is verified by running spiking neural applications on both the SoC Designer model and the physical SpiNNaker Test Chip. This work sums the problems we have solved and highlights those requiring further investigations, and therefore it forms the foundation of the software design on SpiNNaker, leading the future development towards a universal platform for real-time simulations of extreme large-scale neural systems. © 2010 IEEE.
Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks
Place of PublicationUSA
PublisherIEEE
ISBN (Print)9781424469178
DOIs
Publication statusPublished - 2010
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona
Duration: 1 Jul 2010 → …

Conference

Conference2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
CityBarcelona
Period1/07/10 → …

Keywords

  • neural nets , neurophysiology , parallel programming , software engineering

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