dc.creator | Serrano Gotarredona, María Teresa | es |
dc.creator | Linares Barranco, Bernabé | es |
dc.creator | Galluppi, Francesco | es |
dc.creator | Plana, L. | es |
dc.creator | Furber, S. | es |
dc.date.accessioned | 2020-10-20T08:30:51Z | |
dc.date.available | 2020-10-20T08:30:51Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Serrano Gotarredona, M.T., Linares Barranco, B., Galluppi, F., Plana, L. y Furber, S. (2015). ConvNets Experiments on SpiNNaker. En ISCAS 2015: IEEE International Symposium on Circuits and Systems (2405-2408), Lisboa, Portugal: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4799-8391-9 | es |
dc.identifier.issn | 0271-4302 | es |
dc.identifier.uri | https://hdl.handle.net/11441/102065 | |
dc.description.abstract | The SpiNNaker Hardware platform allows
emulating generic neural network topologies, where each neuronto-
neuron connection is defined by an independent synaptic
weight. Consequently, weight storage requires an important
amount of memory in the case of generic neural network
topologies. This is solved in SpiNNaker by encapsulating with
each SpiNNaker chip (which includes 18 ARM cores) a 128MB
DRAM chip within the same package. However, ConvNets
(Convolutional Neural Network) posses "weight sharing"
property, so that many neuron-to-neuron connections share the
same weight value. Therefore, a very reduced amount of memory
is required to define all synaptic weights, which can be stored on
local SRAM DTCM (data-tightly-coupled-memory) at each ARM
core. This way, DRAM can be used extensively to store traffic
data for off-line analyses. We show an implementation of a 5-
layer ConvNet for symbol recognition. Symbols are obtained with
a DVS camera. Neurons in the ConvNet operate in an eventdriven
fashion, and synapses operate instantly. With this
approach it was possible to allocate up to 2048 neurons per ARM
core, or equivalently 32k neurons per SpiNNaker chip. | es |
dc.description.sponsorship | Ministerio de Educación, Cultura y Deporte PRX12/00562 | es |
dc.description.sponsorship | Ministerio de Educación, Cultura y Deporte PRX12/00558 | es |
dc.description.sponsorship | European Union FP7-ICT-2013-FET-F-604102 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad PRI-PIMCHI-2011-0768 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2012-37868-C04-01 | es |
dc.description.sponsorship | Junta de Andalucía TIC-2010-6091 | es |
dc.format | application/pdf | es |
dc.format.extent | 4 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | ISCAS 2015: IEEE International Symposium on Circuits and Systems (2015), p 2405-2408 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Convolutional Neural Networks (CNN) | es |
dc.subject | SpiNNaker Platform | es |
dc.subject | Event-Driven Computation | es |
dc.subject | Object recognition | es |
dc.title | ConvNets Experiments on SpiNNaker | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | PRX12/00562 | es |
dc.relation.projectID | PRX12/00558 | es |
dc.relation.projectID | FP7-ICT-2013-FET-F-604102 | es |
dc.relation.projectID | PRI-PIMCHI-2011-0768 | es |
dc.relation.projectID | TEC2012-37868-C04-01 | es |
dc.relation.projectID | TIC-2010-6091 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7169169 | es |
dc.identifier.doi | 10.1109/ISCAS.2015.7169169 | es |
dc.publication.initialPage | 2405 | es |
dc.publication.endPage | 2408 | es |
dc.eventtitle | ISCAS 2015: IEEE International Symposium on Circuits and Systems | es |
dc.eventinstitution | Lisboa, Portugal | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte (MECD). España | es |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte (MECD). España | es |
dc.contributor.funder | European Union (UE) | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Junta de Andalucía | es |