Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors

Autores
Biedma, Luis Ariel; Colavecchia, Flavio Dario; Quintana Ortí, Enrique
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We re-formulate a classical numerical method for the solution of systems of linear equations to tackle problems with latent data, that is, linear systems of dimension that is a priori unknown. This type of systems appears in the solution of few-body Coulomb problems for Atomic Simulation Physics, in the form of multidimensional partial differential equations (PDEs) that require the numerical solution of a sequence of recurrent dense linear systems of growing scale. The large dimension of these systems, with up to several hundred thousands of unknowns, is tackled in our approach via a task-parallel implementation of the solver, using the OmpSs framework.
Fil: Biedma, Luis Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Colavecchia, Flavio Dario. Comisión Nacional de Energí­a Atómica. Gerencia del Area Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Balseiro). División Colisiones Atómicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quintana Ortí, Enrique. Universitat Jaume I; España
International Conference on Computational Science, ICCS 2017
Zurich
Suiza
ETH Zürich
Universiteit Van Amsterdam
University of Tennessee
Nanyang Technological University
Materia
Matrices Latentes
Multicore Processors
Sistemas heterogeneos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/141033
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/141033
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore ProcessorsBiedma, Luis ArielColavecchia, Flavio DarioQuintana Ortí, EnriqueMatrices LatentesMulticore ProcessorsSistemas heterogeneoshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2We re-formulate a classical numerical method for the solution of systems of linear equations to tackle problems with latent data, that is, linear systems of dimension that is a priori unknown. This type of systems appears in the solution of few-body Coulomb problems for Atomic Simulation Physics, in the form of multidimensional partial differential equations (PDEs) that require the numerical solution of a sequence of recurrent dense linear systems of growing scale. The large dimension of these systems, with up to several hundred thousands of unknowns, is tackled in our approach via a task-parallel implementation of the solver, using the OmpSs framework.Fil: Biedma, Luis Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Colavecchia, Flavio Dario. Comisión Nacional de Energí­a Atómica. Gerencia del Area Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Balseiro). División Colisiones Atómicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Quintana Ortí, Enrique. Universitat Jaume I; EspañaInternational Conference on Computational Science, ICCS 2017ZurichSuizaETH ZürichUniversiteit Van AmsterdamUniversity of TennesseeNanyang Technological UniversityElsevierKoumoutsakos, PetrosLees, MichaelKrzhizhanovskaya, ValeriaDongarra,JackSloot, Peter2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/141033Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors; International Conference on Computational Science, ICCS 2017; Zurich; Suiza; 2017; 1743-17521877-0509CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1877050917305136info:eu-repo/semantics/altIdentifier/doi/10.1016/j.procs.2017.05.019Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:47:50Zoai:ri.conicet.gov.ar:11336/141033instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:47:50.56CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
title Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
spellingShingle Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
Biedma, Luis Ariel
Matrices Latentes
Multicore Processors
Sistemas heterogeneos
title_short Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
title_full Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
title_fullStr Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
title_full_unstemmed Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
title_sort Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors
dc.creator.none.fl_str_mv Biedma, Luis Ariel
Colavecchia, Flavio Dario
Quintana Ortí, Enrique
author Biedma, Luis Ariel
author_facet Biedma, Luis Ariel
Colavecchia, Flavio Dario
Quintana Ortí, Enrique
author_role author
author2 Colavecchia, Flavio Dario
Quintana Ortí, Enrique
author2_role author
author
dc.contributor.none.fl_str_mv Koumoutsakos, Petros
Lees, Michael
Krzhizhanovskaya, Valeria
Dongarra,Jack
Sloot, Peter
dc.subject.none.fl_str_mv Matrices Latentes
Multicore Processors
Sistemas heterogeneos
topic Matrices Latentes
Multicore Processors
Sistemas heterogeneos
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv We re-formulate a classical numerical method for the solution of systems of linear equations to tackle problems with latent data, that is, linear systems of dimension that is a priori unknown. This type of systems appears in the solution of few-body Coulomb problems for Atomic Simulation Physics, in the form of multidimensional partial differential equations (PDEs) that require the numerical solution of a sequence of recurrent dense linear systems of growing scale. The large dimension of these systems, with up to several hundred thousands of unknowns, is tackled in our approach via a task-parallel implementation of the solver, using the OmpSs framework.
Fil: Biedma, Luis Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Colavecchia, Flavio Dario. Comisión Nacional de Energí­a Atómica. Gerencia del Area Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Balseiro). División Colisiones Atómicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quintana Ortí, Enrique. Universitat Jaume I; España
International Conference on Computational Science, ICCS 2017
Zurich
Suiza
ETH Zürich
Universiteit Van Amsterdam
University of Tennessee
Nanyang Technological University
description We re-formulate a classical numerical method for the solution of systems of linear equations to tackle problems with latent data, that is, linear systems of dimension that is a priori unknown. This type of systems appears in the solution of few-body Coulomb problems for Atomic Simulation Physics, in the form of multidimensional partial differential equations (PDEs) that require the numerical solution of a sequence of recurrent dense linear systems of growing scale. The large dimension of these systems, with up to several hundred thousands of unknowns, is tackled in our approach via a task-parallel implementation of the solver, using the OmpSs framework.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/141033
Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors; International Conference on Computational Science, ICCS 2017; Zurich; Suiza; 2017; 1743-1752
1877-0509
CONICET Digital
CONICET
url http://hdl.handle.net/11336/141033
identifier_str_mv Solution of Few-Body Coulomb Problems with Latent Matrices on Multicore Processors; International Conference on Computational Science, ICCS 2017; Zurich; Suiza; 2017; 1743-1752
1877-0509
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1877050917305136
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.procs.2017.05.019
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.001348

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