Improvements in speed and scalability of a DEM code

Autores
Löhner, Rainald; Perazzo, Franco
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A number of near-optimal techniques were implemented to reduce computing times for the Discrete Element Method (DEM) code named DESOL. Among these, the following showed the largest improvements: multilevel bins, periodic rebuild, trimming and Symmetric Multiprocessor (SMP) parallelization. These improvements have led to Central Processing Unit (CPU) reduction of the order of 1:3-1:5 on scalar machines, while also showing excellent scalability up to the point of memory saturation, which on current Intel Xeon processors occurs at approximately 8 cores for double precision and 16 cores for single precision.
Publicado en: Mecánica Computacional vol. XXXV, no. 10.
Facultad de Ingeniería
Materia
Ingeniería
Discrete Element Method
Spatial Search Algorithms
Bins
Contact Algorithm
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/94727
Acceder
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network_name_str SEDICI (UNLP)
spelling Improvements in speed and scalability of a DEM codeLöhner, RainaldPerazzo, FrancoIngenieríaDiscrete Element MethodSpatial Search AlgorithmsBinsContact AlgorithmA number of near-optimal techniques were implemented to reduce computing times for the Discrete Element Method (DEM) code named DESOL. Among these, the following showed the largest improvements: multilevel bins, periodic rebuild, trimming and Symmetric Multiprocessor (SMP) parallelization. These improvements have led to Central Processing Unit (CPU) reduction of the order of 1:3-1:5 on scalar machines, while also showing excellent scalability up to the point of memory saturation, which on current Intel Xeon processors occurs at approximately 8 cores for double precision and 16 cores for single precision.Publicado en: <i>Mecánica Computacional</i> vol. XXXV, no. 10.Facultad de Ingeniería2017-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf455-466http://sedici.unlp.edu.ar/handle/10915/94727enginfo:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/5276info:eu-repo/semantics/altIdentifier/issn/2591-3522info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-02-26T11:06:56Zoai:sedici.unlp.edu.ar:10915/94727Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-02-26 11:06:56.643SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Improvements in speed and scalability of a DEM code
title Improvements in speed and scalability of a DEM code
spellingShingle Improvements in speed and scalability of a DEM code
Löhner, Rainald
Ingeniería
Discrete Element Method
Spatial Search Algorithms
Bins
Contact Algorithm
title_short Improvements in speed and scalability of a DEM code
title_full Improvements in speed and scalability of a DEM code
title_fullStr Improvements in speed and scalability of a DEM code
title_full_unstemmed Improvements in speed and scalability of a DEM code
title_sort Improvements in speed and scalability of a DEM code
dc.creator.none.fl_str_mv Löhner, Rainald
Perazzo, Franco
author Löhner, Rainald
author_facet Löhner, Rainald
Perazzo, Franco
author_role author
author2 Perazzo, Franco
author2_role author
dc.subject.none.fl_str_mv Ingeniería
Discrete Element Method
Spatial Search Algorithms
Bins
Contact Algorithm
topic Ingeniería
Discrete Element Method
Spatial Search Algorithms
Bins
Contact Algorithm
dc.description.none.fl_txt_mv A number of near-optimal techniques were implemented to reduce computing times for the Discrete Element Method (DEM) code named DESOL. Among these, the following showed the largest improvements: multilevel bins, periodic rebuild, trimming and Symmetric Multiprocessor (SMP) parallelization. These improvements have led to Central Processing Unit (CPU) reduction of the order of 1:3-1:5 on scalar machines, while also showing excellent scalability up to the point of memory saturation, which on current Intel Xeon processors occurs at approximately 8 cores for double precision and 16 cores for single precision.
Publicado en: <i>Mecánica Computacional</i> vol. XXXV, no. 10.
Facultad de Ingeniería
description A number of near-optimal techniques were implemented to reduce computing times for the Discrete Element Method (DEM) code named DESOL. Among these, the following showed the largest improvements: multilevel bins, periodic rebuild, trimming and Symmetric Multiprocessor (SMP) parallelization. These improvements have led to Central Processing Unit (CPU) reduction of the order of 1:3-1:5 on scalar machines, while also showing excellent scalability up to the point of memory saturation, which on current Intel Xeon processors occurs at approximately 8 cores for double precision and 16 cores for single precision.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/94727
url http://sedici.unlp.edu.ar/handle/10915/94727
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/2591-3522
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
455-466
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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