dc.creator | Carandang, Jym Paul | es |
dc.creator | Villaflores, John Matthew B. | es |
dc.creator | Cabarle, Francis George C. | es |
dc.creator | Adorna, Henry N. | es |
dc.creator | Martínez del Amor, Miguel Ángel | es |
dc.date.accessioned | 2021-11-30T11:24:59Z | |
dc.date.available | 2021-11-30T11:24:59Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Carandang, J.P., Villaflores, J.M.B., Cabarle, F.G.C., Adorna, H.N. y Martínez del Amor, M.Á. (2016). CuSNP: Spiking Neural P Systems Simulators in CUDA. En ACMC 2016: The 5th Asian Conference on Membrane Computing (451-468), Bandung, Indonesia: IMCS: International Membrane Computing Society. | |
dc.identifier.uri | https://hdl.handle.net/11441/127839 | |
dc.description.abstract | Spiking neural P systems (in short, SN P systems) are models
of computation inspired by biological neurons. In this work, we report
our ongoing e orts to improve simulators for SN P systems. CuSNP is
a project involving sequential and parallel simulators, and in this work
we include a PLingua le parser. The PLingua le parser is for ease
of use when performing simulations to be executed either in the CPU
or in CUDA graphics processing units (in short, GPUs). Our results
also include a comparison and analysis of the simulator we developed by
simulating two types of parallel soring networks: generalized and bitonic.
At present, our GPU simulator is better suited on the former type based
on the pro ling of our GPU kernel functions, i.e. our GPU simulators
run up to 50 faster than the sequential simulator but simulations of
bitonic networks run slightly slower than generalized networks. We also
implemented an algorithm based on nite automata to allow more forms
of regular expressions in the simulated SN P systems. | es |
dc.format | application/pdf | es |
dc.format.extent | 18 | es |
dc.language.iso | eng | es |
dc.publisher | IMCS: International Membrane Computing Society | es |
dc.relation.ispartof | ACMC 2016: The 5th Asian Conference on Membrane Computing (2016), pp. 451-468. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Membrane computing | es |
dc.subject | Spiking neural P system | es |
dc.subject | pLingua | es |
dc.subject | CUDA | es |
dc.subject | GPU | es |
dc.title | CuSNP: Spiking Neural P Systems Simulators in CUDA | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.publisherversion | http://imcs.org.cn/img/%28ACMC-2016%29%205st.pdf | es |
dc.contributor.group | Universidad de Sevilla. TIC193 : Computación Natural | es |
dc.publication.initialPage | 451 | es |
dc.publication.endPage | 468 | es |
dc.eventtitle | ACMC 2016: The 5th Asian Conference on Membrane Computing | es |
dc.eventinstitution | Bandung, Indonesia | es |
dc.relation.publicationplace | Bandung, Indonesia | es |