dc.creator | Guerrero, Ginés D. | es |
dc.creator | Cecilia, José M. | es |
dc.creator | García Carrasco, José M. | es |
dc.creator | Martínez del Amor, Miguel Ángel | es |
dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2018-01-08T09:19:40Z | |
dc.date.available | 2018-01-08T09:19:40Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Guerrero, G.D., Cecilia, J.M., García Carrasco, J.M., Martínez del Amor, M.Á., Pérez Hurtado, I. y Pérez Jiménez, M.d.J. (2009). Analysis of P systems simulation on CUDA. En JP2009 : XX Jornadas de Paralelismo La Coruña: SARTECO: Sociedad de Arquitectura y Tecnología de Computadores. | |
dc.identifier.uri | http://hdl.handle.net/11441/68353 | |
dc.description.abstract | GPUs (Graphics Processing Unit) have been con-
solidated as a massively data-parallel coprocessor to
develop many general purpose computations, and en-
able developers to utilize several levels of parallelism
to obtain better performance of their applications.
The massively parallel nature of certain computa-
tions leads to use GPUs as an underlying architec-
ture, becoming a good alternative to other paral-
lel approaches. P systems or membrane systems
are theoretical devices inspired in the way that liv-
ing cells work, providing computational models and
a high level computational modeling framework for
biological systems. They are massively parallel dis-
tributed, and non-deterministic systems. In this pa-
per, we evaluate the GPU as the underlying archi-
tecture to simulate the class of recognizer P systems
with active membranes. We analyze the performance
of three simulators implemented on CPU, CPU-GPU
and GPU respectively. We compare them using a pre-
sented P system as a benchmark, showing that the
GPU is better suited than the CPU to simulate those
P systems due to its massively parallel nature. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2006-13425 | es |
dc.description.sponsorship | Junta de Andalucía P08–TIC04200 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | SARTECO: Sociedad de Arquitectura y Tecnología de Computadores | es |
dc.relation.ispartof | JP2009 : XX Jornadas de Paralelismo (2009), | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | CUDA | es |
dc.subject | P System | es |
dc.subject | Membrane Computing | es |
dc.title | Analysis of P systems simulation on 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.projectID | TIN2006-13425 | es |
dc.relation.projectID | P08–TIC04200 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 6 | es |
dc.eventtitle | JP2009 : XX Jornadas de Paralelismo | es |
dc.eventinstitution | La Coruña | es |
dc.relation.publicationplace | Madrid | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | |
dc.contributor.funder | Junta de Andalucía | |