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Tipo da ReferênciaJournal Article
Identificador8JMKD3MGP5W34M/3HE6FK4
Repositóriosid.inpe.br/mtc-m21b/2014/11.19.00.00.56
Metadadossid.inpe.br/mtc-m21b/2014/11.19.00.00.57
Sitemtc-m21b.sid.inpe.br
DOI10.1007/978-3-319-09153-2_34
Rótuloscopus 2014-11 MadeiraRiStRoRoSiCl:2014:StWoDi
ISBN9783319091525
ISSN0302-9743
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoMadeiraRiStRoRoSiCl:2014:StWoDi
Autor1 Madeira, D.
2 Ricardo, J.
3 Stalder, Diego H.
4 Rocha, L.
5 Rosa, Reinaldo Roberto
6 Silveira Filho, O. T.
7 Clua, E.
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JJ5D
Grupo1
2
3 LAC-CTE-INPE-MCTI-GOV-BR
4
5 LAC-CTE-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal de São João del Rei, São João del Rei, Minas Gerais, Brazil; Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
2 Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de São João del Rei, São João del Rei, Minas Gerais, Brazil
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
7 Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
TítuloA strategy to workload division for massively particle-particle N-body simulations on GPUs
RevistaLecture Notes in Computer Science
Ano2014
Volume8584 LNCS
NúmeroPART 6
Palavras-ChaveCosmology, Computational constraints, Computational power, Deformation potential, Hierarchical strategies, Lagrangian turbulence, Mass distribution, N-body simulation, Subdivision methods, Program processors.
ResumoThe new programmable graphical processor units (GPUs) are now often used as high parallel mathematical co-processors, allowing many computational-intensive problems to be executed in less time. It became common and convenient to use single GPUs to implement different kinds of simulations, or to group them in a grid, so the computational power can be highly increased, while the power consumption and physical space increase are significantly lower. The N-body simulation has been successfully ported to the GPUs. This algorithm is typically applied to gravitational simulations, among many other physical problems. In cosmology, one alternative approach seeks to explain the nature of dark matter as a direct result of the non-linear space-time curvature, due to different types of deformation potentials. In order to develop a detailed study of this new approach, our group is developing the COsmic LAgrangian TUrbulence Simulator (COLATUS-ENVIU). The simulator uses the direct particle-particle method to calculate the forces between the particles, so we eliminate the errors included on the hierarchical strategies. It gave robust initial results, but was limited to systems with a small amount of particles. However one limitation on the use of GPUs on N-body simulation to study the details on the mass distribution, is that these systems must have millions (or even billions) of particles, making the use of particle-particle method in one GPU unfeasible due to memory or time computational constraints. In this present work we propose a novel and efficient subdivision method to allow the workload division, allowing a single GPU to be able to solve large simulations, while allowing to watch over a particle during all the simulation. © 2014 Springer International Publishing.
Páginas455-465
Idiomaen
Tipo SecundárioPRE PI
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
AreaCOMP
Nota SecundáriaA1_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO A1_BIODIVERSIDADE A2_GEOGRAFIA B1_SAÚDE_COLETIVA B1_INTERDISCIPLINAR B1_CIÊNCIAS_SOCIAIS_APLICADAS_I B2_EDUCAÇÃO B2_ARQUITETURA_E_URBANISMO B3_MEDICINA_III B3_ENGENHARIAS_I B3_ENGENHARIAS_II B3_ODONTOLOGIA B3_GEOCIÊNCIAS B3_EDUCAÇÃO_FÍSICA B3_MEDICINA_I B3_MEDICINA_II B3_DIREITO B3_PSICOLOGIA B4_MATERIAIS B4_BIOTECNOLOGIA B5_MEDICINA_VETERINÁRIA B5_CIÊNCIAS_BIOLÓGICAS_I B5_CIÊNCIAS_BIOLÓGICAS_II B5_ENSINO C_ASTRONOMIA_/_FÍSICA C_CIÊNCIA_DA_COMPUTAÇÃO C_CIÊNCIAS_AGRÁRIAS_I C_ENGENHARIAS_III C_CIÊNCIAS_BIOLÓGICAS_III C_ENGENHARIAS_IV C_CIÊNCIAS_AMBIENTAIS C_MATEMÁTICA_/_PROBABILIDADE_E C_QUÍMICA
Última Atualização dos Metadados2018:06.04.03.04.34 sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 administrator {D 2014}
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Endereço de e-Mailmarcelo.pazos@inpe.br
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Tipo do ConteudoExternal Contribution
Estágio do Documentonot transferred
Política de Arquivamentodenypublisher denyfinaldraft12
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
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Histórico2018-06-04 03:04:34 :: administrator -> marcelo.pazos@inpe.br :: 2014
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