dc.creator | Martínez del Amor, Miguel Ángel | es |
dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Orellana Martín, David | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2021-02-03T12:13:58Z | |
dc.date.available | 2021-02-03T12:13:58Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Martínez del Amor, M.Á., Pérez Hurtado de Mendoza, I., Orellana Martín, D. y Pérez Jiménez, M.d.J. (2020). Adaptative parallel simulators for bioinspired computing models. Future Generation Computer Systems, 107 (june 2020), 469-484. | |
dc.identifier.issn | 0167-739X | es |
dc.identifier.uri | https://hdl.handle.net/11441/104533 | |
dc.description.abstract | In the Membrane Computing area, P systems are unconventional devices of computation inspired by
the structure and processes taking place in living cells. Main successful P system applications lie
in computability and computational complexity theories, as well as in biological modelling. Given
that models become too complex to deal with, simulators for P systems are essential tools and their
efficiency is critical. In order to handle the diverse situations that may arise during the computation,
these simulators have to take into account that worst-case scenarios can happen, even though they
rarely occur. As a result, there is a significant loss of performance. In this paper, the concept of
adaptative simulation for P systems is introduced to palliate this problem. This is achieved by passing
high-level information provided directly by P system model designers to the simulator, helping it to
better adapt to the target model. For this purpose, an existing simulator for an ecosystem modelling
framework, named Population Dynamics P systems, is extended to include the information of modules,
that are usually employed to define ecosystem models. Moreover, the standard description language for
P systems, P-Lingua, has been re-engineered in its version 5. It now includes a new syntactical item,
called feature, to express this kind of high-level semantic information. Experiments show that this
simple adaptative simulator supporting modules as features doubles the performance when running
on GPUs and on multicore processors. | es |
dc.description.sponsorship | Ministerio de Economía, Industría y Competitividad TIN2017-89842-P (MABICAP) | es |
dc.format | application/pdf | es |
dc.format.extent | 15 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Future Generation Computer Systems, 107 (june 2020), 469-484. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | bioinspired computing | es |
dc.subject | Membrane Computing | es |
dc.subject | P System | es |
dc.subject | Programming Languages | es |
dc.subject | Parallel computing | es |
dc.subject | GPU Computing | es |
dc.title | Adaptative parallel simulators for bioinspired computing models | es |
dc.type | info:eu-repo/semantics/article | 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 Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2017-89842-P (MABICAP) | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0167739X19308817?via%3Dihub | es |
dc.identifier.doi | 10.1016/j.future.2020.02.012 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.journaltitle | Future Generation Computer Systems | es |
dc.publication.volumen | 107 | es |
dc.publication.issue | june 2020 | es |
dc.publication.initialPage | 469 | es |
dc.publication.endPage | 484 | es |
dc.identifier.sisius | 21923756 | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | es |