Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation

Autores
Gallo, Silvana; Borges, Francisco; De Giusti, Laura Cristina; Naiouf, Marcelo; Suppi, Remo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Data structure is an important issue to get good performance in parallel and distributed applications. These data structures have to be designed with the memory paradigm in mind where the data structure will be used in order to explore the architecture in a better way and subsequently obtain the best Speedup. Current parallel programming languages enable us to easily transform a parallel solution developed for a distributed paradigm to a hybrid solution just by adding pragma codes. At first approach, this is an interesting solution because it does not require several code modifications. Nevertheless, this interchange can cause a slowdown if an appropriate and deep adaptation is not carried out in the code. In this paper, we present our experience when we migrated a data structure developed for a distributed paradigm to a hybrid paradigm. This data structure was implemented in our Fish Schooling Agent-Based simulator where it might be useful either as a distributed paradigm or a hybrid paradigm. The results show the importance of customizing the data structure for the appropriate infrastructure and parallel programming paradigm. We believe that the data structure should have a flexible and dynamic behavior in accordance with the paradigm used.
XVIII Workshop de Procesamiento Distribuido y Paralelo (WPDP).
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
parallel and distributed simulation
high performance simulation
hybrid MPI+OpenMP programming
individual-oriented model
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:10915/63656
Acceder
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network_name_str SEDICI (UNLP)
spelling Using an Improved Data Structure in Hybrid Memory for Agent-Based SimulationGallo, SilvanaBorges, FranciscoDe Giusti, Laura CristinaNaiouf, MarceloSuppi, RemoCiencias Informáticasparallel and distributed simulationhigh performance simulationhybrid MPI+OpenMP programmingindividual-oriented modelData structure is an important issue to get good performance in parallel and distributed applications. These data structures have to be designed with the memory paradigm in mind where the data structure will be used in order to explore the architecture in a better way and subsequently obtain the best Speedup. Current parallel programming languages enable us to easily transform a parallel solution developed for a distributed paradigm to a hybrid solution just by adding pragma codes. At first approach, this is an interesting solution because it does not require several code modifications. Nevertheless, this interchange can cause a slowdown if an appropriate and deep adaptation is not carried out in the code. In this paper, we present our experience when we migrated a data structure developed for a distributed paradigm to a hybrid paradigm. This data structure was implemented in our Fish Schooling Agent-Based simulator where it might be useful either as a distributed paradigm or a hybrid paradigm. The results show the importance of customizing the data structure for the appropriate infrastructure and parallel programming paradigm. We believe that the data structure should have a flexible and dynamic behavior in accordance with the paradigm used.XVIII Workshop de Procesamiento Distribuido y Paralelo (WPDP).Red de Universidades con Carreras en Informática (RedUNCI)2017-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf226-235http://sedici.unlp.edu.ar/handle/10915/63656enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1539-9info: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:UNLP2025-09-29T11:08:29Zoai:sedici.unlp.edu.ar:10915/63656Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:08:29.797SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
title Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
spellingShingle Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
Gallo, Silvana
Ciencias Informáticas
parallel and distributed simulation
high performance simulation
hybrid MPI+OpenMP programming
individual-oriented model
title_short Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
title_full Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
title_fullStr Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
title_full_unstemmed Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
title_sort Using an Improved Data Structure in Hybrid Memory for Agent-Based Simulation
dc.creator.none.fl_str_mv Gallo, Silvana
Borges, Francisco
De Giusti, Laura Cristina
Naiouf, Marcelo
Suppi, Remo
author Gallo, Silvana
author_facet Gallo, Silvana
Borges, Francisco
De Giusti, Laura Cristina
Naiouf, Marcelo
Suppi, Remo
author_role author
author2 Borges, Francisco
De Giusti, Laura Cristina
Naiouf, Marcelo
Suppi, Remo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
parallel and distributed simulation
high performance simulation
hybrid MPI+OpenMP programming
individual-oriented model
topic Ciencias Informáticas
parallel and distributed simulation
high performance simulation
hybrid MPI+OpenMP programming
individual-oriented model
dc.description.none.fl_txt_mv Data structure is an important issue to get good performance in parallel and distributed applications. These data structures have to be designed with the memory paradigm in mind where the data structure will be used in order to explore the architecture in a better way and subsequently obtain the best Speedup. Current parallel programming languages enable us to easily transform a parallel solution developed for a distributed paradigm to a hybrid solution just by adding pragma codes. At first approach, this is an interesting solution because it does not require several code modifications. Nevertheless, this interchange can cause a slowdown if an appropriate and deep adaptation is not carried out in the code. In this paper, we present our experience when we migrated a data structure developed for a distributed paradigm to a hybrid paradigm. This data structure was implemented in our Fish Schooling Agent-Based simulator where it might be useful either as a distributed paradigm or a hybrid paradigm. The results show the importance of customizing the data structure for the appropriate infrastructure and parallel programming paradigm. We believe that the data structure should have a flexible and dynamic behavior in accordance with the paradigm used.
XVIII Workshop de Procesamiento Distribuido y Paralelo (WPDP).
Red de Universidades con Carreras en Informática (RedUNCI)
description Data structure is an important issue to get good performance in parallel and distributed applications. These data structures have to be designed with the memory paradigm in mind where the data structure will be used in order to explore the architecture in a better way and subsequently obtain the best Speedup. Current parallel programming languages enable us to easily transform a parallel solution developed for a distributed paradigm to a hybrid solution just by adding pragma codes. At first approach, this is an interesting solution because it does not require several code modifications. Nevertheless, this interchange can cause a slowdown if an appropriate and deep adaptation is not carried out in the code. In this paper, we present our experience when we migrated a data structure developed for a distributed paradigm to a hybrid paradigm. This data structure was implemented in our Fish Schooling Agent-Based simulator where it might be useful either as a distributed paradigm or a hybrid paradigm. The results show the importance of customizing the data structure for the appropriate infrastructure and parallel programming paradigm. We believe that the data structure should have a flexible and dynamic behavior in accordance with the paradigm used.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
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/10915/63656
url http://sedici.unlp.edu.ar/handle/10915/63656
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-1539-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
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
226-235
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
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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