Population-based routing in the SpiNNaker neuromorphic architecture
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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). © 2012 IEEE.
Bibliographical metadata
| Original language | English |
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| Title of host publication | Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 - Brisbane, QLD Event duration: 1 Jul 2012 → … |
Conference
| Conference | 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 |
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| City | Brisbane, QLD |
| Period | 1/07/12 → … |