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Implementing Enzymatic Numerical P Systems for AI Applications by Means of Graphic Processing Units

dc.contributor.editorKelemen, Jozefes
dc.contributor.editorRomportl, Janes
dc.contributor.editorZackova, Evaes
dc.creatorGarcía Quismondo, Manueles
dc.creatorMacías Ramos, Luis Felipees
dc.creatorPérez Jiménez, Mario de Jesúses
dc.date.accessioned2021-07-14T09:30:02Z
dc.date.available2021-07-14T09:30:02Z
dc.date.issued2013
dc.identifier.citationGarcía Quismondo, M., Macías Ramos, L.F., y Pérez Jiménez, M.d.J. (2013). Implementing Enzymatic Numerical P Systems for AI Applications by Means of Graphic Processing Units. En J. Kelemen, J. Romportl, E. Zackova (Ed.), Beyond Artificial Intelligence : Contemplations, Expectations, Applications (pp. 137-159). Berlin: Springer.
dc.identifier.isbn978-3-642-34421-3es
dc.identifier.urihttps://hdl.handle.net/11441/116122
dc.description.abstractA P system represents a distributed and parallel computing model in which basic data structures are, for instance, multisets and strings. Enzymatic Numerical P Systems (ENPS) are a type of P systems whose basic data structures are sets of numerical variables. Separately, GPGPU (general-purpose computing on graphics processing units) is a novel technological paradigm which focuses on the development of tools for graphic cards to solve general purpose problems. This paper proposes an ENPS simulator based on GPUs and presents general concepts about its design and some future ideas and perspectives.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación TIN 2009-13192es
dc.description.sponsorshipJunta de Andalucía P08-TIC-04200es
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2008-04487-Ees
dc.formatapplication/pdfes
dc.format.extent23es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofBeyond Artificial Intelligence : Contemplations, Expectations, Applicationses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleImplementing Enzymatic Numerical P Systems for AI Applications by Means of Graphic Processing Unitses
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDTIN 2009-13192es
dc.relation.projectIDP08-TIC-04200es
dc.relation.projectIDTIN2008-04487-Ees
dc.relation.publisherversionhttps://link.springer.com/chapter/https://link.springer.com/chapter/10.1007/978-3-642-34422-0_10es
dc.identifier.doihttps://link.springer.com/chapter/10.1007/978-3-642-34422-0_10es
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Naturales
dc.publication.initialPage137es
dc.publication.endPage159es
dc.relation.publicationplaceBerlines
dc.identifier.sisius20366632es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes
dc.contributor.funderJunta de Andalucíaes
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). Españaes

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