Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

Banner header
61.603 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament d'Enginyeria Electrònica
  • Ponències/Comunicacions de congressos
  • View Item
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament d'Enginyeria Electrònica
  • Ponències/Comunicacions de congressos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A communication infrastructure for emulating large-scale neural networks models

Thumbnail
View/Open
MORENOACommunication10.1007_978-3-642-33269-2_17.pdf (328,1Kb) (Restricted access)   Request copy 

Què és aquest botó?

Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:

  • Disposem del correu electrònic de l'autor
  • El document té una mida inferior a 20 Mb
  • Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
 
10.1007/978-3-642-33269-2_17
 
  View Usage Statistics
  LA Referencia / Recolecta stats
Cita com:
hdl:2117/19395

Show full item record
Barrera, A.G.
Moreno Aróstegui, Juan ManuelMés informacióMés informacióMés informació
Document typeConference report
Defense date2012
PublisherSpringer
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
This 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.
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. 
URIhttp://hdl.handle.net/2117/19395
DOI10.1007/978-3-642-33269-2_17
ISBN978-364233268-5
Publisher versionhttp://link.springer.com/content/pdf/10.1007%2F978-3-642-33269-2_17.pdf
Collections
  • Departament d'Enginyeria Electrònica - Ponències/Comunicacions de congressos [1.664]
  • AHA - Advanced Hardware Architectures Group - Ponències/Comunicacions de congressos [31]
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
MORENOACommunic ... 7_978-3-642-33269-2_17.pdfBlocked328,1KbPDFRestricted access

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Privacy Settings
  • Inici de la pàgina