Parallel fuzzy minimals on GPU

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorManacero, Aleardo-
Autor(es): dc.creatorGuariglia, Emanuel-
Autor(es): dc.creatorde Souza, Thiago Alexandre-
Autor(es): dc.creatorLobato, Renata Spolon-
Autor(es): dc.creatorSpolon, Roberta-
Data de aceite: dc.date.accessioned2025-08-21T22:36:50Z-
Data de disponibilização: dc.date.available2025-08-21T22:36:50Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/app12052385-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234210-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234210-
Descrição: dc.descriptionClustering is a classification method that organizes objects into groups based on their similarity. Data clustering can extract valuable information, such as human behavior, trends, and so on, from large datasets by using either hard or fuzzy approaches. However, this is a time-consuming problem due to the increasing volumes of data collected. In this context, sequential executions are not feasible and their parallelization is mandatory to complete the process in an acceptable time. Parallelization requires redesigning algorithms to take advantage of massively parallel platforms. In this paper we propose a novel parallel implementation of the fuzzy minimals algorithm on graphics processing unit as a high-performance low-cost solution for common clustering issues. The performance of this implementation is compared with an equivalent algorithm based on the message passing interface. Numerical simulations show that the proposed solution on graphics processing unit can achieve high performances with regards to the cost-accuracy ratio.-
Descrição: dc.descriptionInstitute of Biosciences Letters and Exact Sciences São Paulo State University (UNESP), Rua Cristóvão Colombo 226, SP-
Descrição: dc.descriptionFaculdade de Ciências São Paulo State University (UNESP), Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa, SP-
Descrição: dc.descriptionInstitute of Biosciences Letters and Exact Sciences São Paulo State University (UNESP), Rua Cristóvão Colombo 226, SP-
Descrição: dc.descriptionFaculdade de Ciências São Paulo State University (UNESP), Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa, SP-
Idioma: dc.languageen-
Relação: dc.relationApplied Sciences (Switzerland)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectFuzzy clustering-
Palavras-chave: dc.subjectFuzzy minimals algorithm-
Palavras-chave: dc.subjectGPU-
Palavras-chave: dc.subjectMPI-
Palavras-chave: dc.subjectParallel computing-
Título: dc.titleParallel fuzzy minimals on GPU-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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