CuSNP: Spiking Neural P Systems Simulators in CUDA

Carandang, Jym Paul; Villaflores, John Matthew B.; Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel

Artículo

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	2021-03-18T10:49:32Z
dc.date.available	2021-03-18T10:49:32Z
dc.date.issued	2017
dc.identifier.citation	Carandang, J.P., Villaflores, J.M.B., Cabarle, F.G.C., Adorna, H.N. y Martínez del Amor, M.Á. (2017). CuSNP: Spiking Neural P Systems Simulators in CUDA. Romanian Journal of Information Science and Technology (ROMJIST), 20 (1), 57-70.
dc.identifier.uri	https://hdl.handle.net/11441/106266
dc.description.abstract	Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. CuSNP is a project involving sequential (CPU) and parallel (GPU) simulators for SN P systems. In this work, we report the following results: a P-Lingua le parser is included, for ease of use when performing simulations; extension of the matrix representation of SN P systems to include delay; comparison and analysis of our simulators by simulating two types (bitonic and generalized) of parallel sorting networks; extension of supported types of regular expressions in SN P systems. Our GPU simulator is better suited for generalized sorting as compared to bitonic sorting networks, and the GPU simulators run up to 50 faster than our CPU simulator. Finally, we discuss our experiments and provide directions for further work.	es
dc.format	application/pdf	es
dc.format.extent	14	es
dc.language.iso	eng	es
dc.publisher	Romanian Academy, Section for Information Science and Technology	es
dc.relation.ispartof	Romanian Journal of Information Science and Technology (ROMJIST), 20 (1), 57-70.
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	SN P systems	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/article	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	https://www.romjist.ro/contents-67.html	es
dc.journaltitle	Romanian Journal of Information Science and Technology (ROMJIST)	es
dc.publication.volumen	20	es
dc.publication.issue	1	es
dc.publication.initialPage	57	es
dc.publication.endPage	70	es

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