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dc.contributor.authorBarrera, A.G.
dc.contributor.authorMoreno Aróstegui, Juan Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2013-05-27T08:33:20Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationBarrera, A.; Moreno, J. A communication infrastructure for emulating large-scale neural networks models. A: International Conference on Artificial Neural Networks. "Artificial Neural Networks and Machine Learning-ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, proceedings, part I". Lausanne: Springer, 2012, p. 129-136.
dc.identifier.isbn978-364233268-5
dc.identifier.urihttp://hdl.handle.net/2117/19395
dc.description.abstractThis paper presents the SEPELYNS architecture that permits to in- terconnect multiple spiking neurons focused on hardware implementations. SEPELYNS can connect millions of neur ons with thousands of synapses per neuron in a layered fabric that provides some capabilities such as connectivity, expansion, flexibility, bio-plausibility and reusing of resources that allows si- mulation of very large networks. We presen t the three layers of this architecture (neuronal, network adapters and networks on chip layers) and explain its per- formance parameters such as throughput, latency and hardware resources. Some application examples of large neural networks on SEPELYNS are studied; these will show that use of on-chip parallel networks could permit the hardware simulation of populations of spiking neurons.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Serveis telemàtics i de comunicació multimèdia
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshXarxes neuronals (Informàtica)
dc.subject.lcshNeural networks (Computer science)
dc.titleA communication infrastructure for emulating large-scale neural networks models
dc.typeConference report
dc.subject.lemacXarxes neuronals (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.identifier.doi10.1007/978-3-642-33269-2_17
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/content/pdf/10.1007%2F978-3-642-33269-2_17.pdf
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11054608
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorBarrera, A.; Moreno, J.
local.citation.contributorInternational Conference on Artificial Neural Networks
local.citation.pubplaceLausanne
local.citation.publicationNameArtificial Neural Networks and Machine Learning-ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, proceedings, part I
local.citation.startingPage129
local.citation.endingPage136


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