Use este identificador para citar ou linkar para este item: http://repositorio.bc.ufg.br/handle/ri/14841
Tipo do documento: Artigo
Título: Parallel implementation of the BiCGStab(2) method in GPU using CUDA and matlab for solution of linear systems
Autor: Paula, Lauro Cassio Martins de
Soares, Anderson da Silva
Abstract: This paper presents a parallel implementation of the hybrid BiCGStab(2) (bi-conjugate gradient stabilized) iterative method in a GPU (graphics processing unit) for solution of large and sparse linear systems. This implementation uses the CUDA-Matlab integration, in which the method operations are performed in a GPU core using Matlab built-in functions. The goal is to show that the exploitation of parallelism by using this new technology can provide a significant computational performance. For the validation of the work, we compared the proposed implementation with a BiCGStab(2) sequential and parallelized implementation in the C and CUDA-C languages. The results showed that the proposed implementation is more efficient and can be viable for simulations being carried out with quality and in a timely manner. The gains in computational efficiency were 76x and 6x compared to the implementation in C and CUDA-C, respectively.
Palavras-chave: Matlab
GPU
CUDA
BiCGStab(2)
País: Estados unidos
Unidade acadêmica: Instituto de Informática - INF (RG)
Citação: PAULA, Lauro Cássio Martins de; SOARES, Anderson da Silva. Parallel implementation of the BiCGStab(2) method in GPU using CUDA and matlab for solution of linear systems. Journal of Communication and Computer, New York, v. 11, n. 4, p. 339-346, 2014.
Tipo de acesso: Acesso Aberto
Identificador do documento: 10.17265/1548-7709/2014.04 002
Identificador do documento: 10.17265/1548-7709/2014.04 002
URI: http://repositorio.bc.ufg.br/handle/ri/14841
Data de publicação: 2014
Aparece nas coleções:INF - Artigos publicados em periódicos

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