Population-based routing in the SpiNNaker neuromorphic architectureCitation formats

  • Authors:
  • Sergio Davies
  • Javier Navaridas
  • Francesco Galluppi
  • Steve Furber

Standard

Population-based routing in the SpiNNaker neuromorphic architecture. / Davies, Sergio; Navaridas, Javier; Galluppi, Francesco; Furber, Steve.

Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks. 2012.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Davies, S, Navaridas, J, Galluppi, F & Furber, S 2012, Population-based routing in the SpiNNaker neuromorphic architecture. in Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks. 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, QLD, 1/07/12. https://doi.org/10.1109/IJCNN.2012.6252635

APA

Davies, S., Navaridas, J., Galluppi, F., & Furber, S. (2012). Population-based routing in the SpiNNaker neuromorphic architecture. In Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks https://doi.org/10.1109/IJCNN.2012.6252635

Vancouver

Davies S, Navaridas J, Galluppi F, Furber S. Population-based routing in the SpiNNaker neuromorphic architecture. In Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks. 2012 https://doi.org/10.1109/IJCNN.2012.6252635

Author

Davies, Sergio ; Navaridas, Javier ; Galluppi, Francesco ; Furber, Steve. / Population-based routing in the SpiNNaker neuromorphic architecture. Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks. 2012.

Bibtex

@inproceedings{bfd3223fbc3241bea91d900a0568131e,
title = "Population-based routing in the SpiNNaker neuromorphic architecture",
abstract = "SpiNNaker is a hardware-based massively-parallel real-time universal neural network simulator designed to simulate large-scale spiking neural networks. Spikes are distributed across the system using a multicast packet router. Each packet represents an event (spike) generated by a neuron. On the basis of the source of the spike (chip, core and neuron), the routers distribute the network packet across the system towards the destination neuron(s). This paper describes a novel approach to the projection routing problem that shows advantages in both the size of the routing tables generated and the computational complexity for the generation of routing tables. To achieve this, spikes are routed on the basis of the source population, leaving to the destination core the duty to propagate the received spike to the appropriate neuron(s). {\textcopyright} 2012 IEEE.",
keywords = "Biological neural networks , Computer architecture , Hardware , Neurons , Routing , Software",
author = "Sergio Davies and Javier Navaridas and Francesco Galluppi and Steve Furber",
year = "2012",
doi = "10.1109/IJCNN.2012.6252635",
language = "English",
isbn = "9781467314909",
booktitle = "Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks",
note = "2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 ; Conference date: 01-07-2012",

}

RIS

TY - GEN

T1 - Population-based routing in the SpiNNaker neuromorphic architecture

AU - Davies, Sergio

AU - Navaridas, Javier

AU - Galluppi, Francesco

AU - Furber, Steve

PY - 2012

Y1 - 2012

N2 - SpiNNaker is a hardware-based massively-parallel real-time universal neural network simulator designed to simulate large-scale spiking neural networks. Spikes are distributed across the system using a multicast packet router. Each packet represents an event (spike) generated by a neuron. On the basis of the source of the spike (chip, core and neuron), the routers distribute the network packet across the system towards the destination neuron(s). This paper describes a novel approach to the projection routing problem that shows advantages in both the size of the routing tables generated and the computational complexity for the generation of routing tables. To achieve this, spikes are routed on the basis of the source population, leaving to the destination core the duty to propagate the received spike to the appropriate neuron(s). © 2012 IEEE.

AB - SpiNNaker is a hardware-based massively-parallel real-time universal neural network simulator designed to simulate large-scale spiking neural networks. Spikes are distributed across the system using a multicast packet router. Each packet represents an event (spike) generated by a neuron. On the basis of the source of the spike (chip, core and neuron), the routers distribute the network packet across the system towards the destination neuron(s). This paper describes a novel approach to the projection routing problem that shows advantages in both the size of the routing tables generated and the computational complexity for the generation of routing tables. To achieve this, spikes are routed on the basis of the source population, leaving to the destination core the duty to propagate the received spike to the appropriate neuron(s). © 2012 IEEE.

KW - Biological neural networks , Computer architecture , Hardware , Neurons , Routing , Software

U2 - 10.1109/IJCNN.2012.6252635

DO - 10.1109/IJCNN.2012.6252635

M3 - Conference contribution

SN - 9781467314909

BT - Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks

T2 - 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012

Y2 - 1 July 2012

ER -