Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment

Autores
García Garino, Carlos; Bringa, Eduardo M.; Millán, Emmanuel N.
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Molecular Dynamics (MD) simulations can help to utimingnderstand an immense number of phenomena at the nano and microscale. They often require the exploration of large parameter space, and a possible parallelization strategy consists of sending different parameter sets to different processors. Here we present such approach using a hybrid environment of Graphic Processing Units (GPUs) and CPU cores. We take advantage of the software LAMMPS (lammps.sandia.gov), which is already prepared to run in a hybrid environment, in order to do an efficient parameter sweep. One example is presented in this work: the collision of two clusters is sampled over a multivariate space to obtain information on the resulting structural properties.
Eje: Workshop Procesamiento distribuido y paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
General purpose GPU
parameter sweep
Molecular Dynamics
Parallel
Simulation
Environments
Distributed
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23634

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spelling Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environmentGarcía Garino, CarlosBringa, Eduardo M.Millán, Emmanuel N.Ciencias InformáticasGeneral purpose GPUparameter sweepMolecular DynamicsParallelSimulationEnvironmentsDistributedMolecular Dynamics (MD) simulations can help to utimingnderstand an immense number of phenomena at the nano and microscale. They often require the exploration of large parameter space, and a possible parallelization strategy consists of sending different parameter sets to different processors. Here we present such approach using a hybrid environment of Graphic Processing Units (GPUs) and CPU cores. We take advantage of the software LAMMPS (lammps.sandia.gov), which is already prepared to run in a hybrid environment, in order to do an efficient parameter sweep. One example is presented in this work: the collision of two clusters is sampled over a multivariate space to obtain information on the resulting structural properties.Eje: Workshop Procesamiento distribuido y paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23634enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:31Zoai:sedici.unlp.edu.ar:10915/23634Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:31.766SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
title Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
spellingShingle Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
García Garino, Carlos
Ciencias Informáticas
General purpose GPU
parameter sweep
Molecular Dynamics
Parallel
Simulation
Environments
Distributed
title_short Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
title_full Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
title_fullStr Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
title_full_unstemmed Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
title_sort Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment
dc.creator.none.fl_str_mv García Garino, Carlos
Bringa, Eduardo M.
Millán, Emmanuel N.
author García Garino, Carlos
author_facet García Garino, Carlos
Bringa, Eduardo M.
Millán, Emmanuel N.
author_role author
author2 Bringa, Eduardo M.
Millán, Emmanuel N.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
General purpose GPU
parameter sweep
Molecular Dynamics
Parallel
Simulation
Environments
Distributed
topic Ciencias Informáticas
General purpose GPU
parameter sweep
Molecular Dynamics
Parallel
Simulation
Environments
Distributed
dc.description.none.fl_txt_mv Molecular Dynamics (MD) simulations can help to utimingnderstand an immense number of phenomena at the nano and microscale. They often require the exploration of large parameter space, and a possible parallelization strategy consists of sending different parameter sets to different processors. Here we present such approach using a hybrid environment of Graphic Processing Units (GPUs) and CPU cores. We take advantage of the software LAMMPS (lammps.sandia.gov), which is already prepared to run in a hybrid environment, in order to do an efficient parameter sweep. One example is presented in this work: the collision of two clusters is sampled over a multivariate space to obtain information on the resulting structural properties.
Eje: Workshop Procesamiento distribuido y paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
description Molecular Dynamics (MD) simulations can help to utimingnderstand an immense number of phenomena at the nano and microscale. They often require the exploration of large parameter space, and a possible parallelization strategy consists of sending different parameter sets to different processors. Here we present such approach using a hybrid environment of Graphic Processing Units (GPUs) and CPU cores. We take advantage of the software LAMMPS (lammps.sandia.gov), which is already prepared to run in a hybrid environment, in order to do an efficient parameter sweep. One example is presented in this work: the collision of two clusters is sampled over a multivariate space to obtain information on the resulting structural properties.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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