GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.

Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dynamics (CFD) to simulate complex free-surface flows. Simulations with this mesh-free particle method far exceed the capacity of a single processor. In this paper, as part of a dual-functioning code for...

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Auteurs principaux:	Alejandro C Crespo, Jose M Dominguez, Anxo Barreiro, Moncho Gómez-Gesteira, Benedict D Rogers
Format:	article
Langue:	EN
Publié:	Public Library of Science (PLoS) 2011
Sujets:	Medicine R Science Q
Accès en ligne:	https://doaj.org/article/a042db66a291498581da964476d75d63
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spelling	oai:doaj.org-article:a042db66a291498581da964476d75d632021-11-18T06:52:10ZGPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.1932-620310.1371/journal.pone.0020685https://doaj.org/article/a042db66a291498581da964476d75d632011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21695185/?tool=EBIhttps://doaj.org/toc/1932-6203Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dynamics (CFD) to simulate complex free-surface flows. Simulations with this mesh-free particle method far exceed the capacity of a single processor. In this paper, as part of a dual-functioning code for either central processing units (CPUs) or Graphics Processor Units (GPUs), a parallelisation using GPUs is presented. The GPU parallelisation technique uses the Compute Unified Device Architecture (CUDA) of nVidia devices. Simulations with more than one million particles on a single GPU card exhibit speedups of up to two orders of magnitude over using a single-core CPU. It is demonstrated that the code achieves different speedups with different CUDA-enabled GPUs. The numerical behaviour of the SPH code is validated with a standard benchmark test case of dam break flow impacting on an obstacle where good agreement with the experimental results is observed. Both the achieved speed-ups and the quantitative agreement with experiments suggest that CUDA-based GPU programming can be used in SPH methods with efficiency and reliability.Alejandro C CrespoJose M DominguezAnxo BarreiroMoncho Gómez-GesteiraBenedict D RogersPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 6, p e20685 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alejandro C Crespo Jose M Dominguez Anxo Barreiro Moncho Gómez-Gesteira Benedict D Rogers GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.
description	Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dynamics (CFD) to simulate complex free-surface flows. Simulations with this mesh-free particle method far exceed the capacity of a single processor. In this paper, as part of a dual-functioning code for either central processing units (CPUs) or Graphics Processor Units (GPUs), a parallelisation using GPUs is presented. The GPU parallelisation technique uses the Compute Unified Device Architecture (CUDA) of nVidia devices. Simulations with more than one million particles on a single GPU card exhibit speedups of up to two orders of magnitude over using a single-core CPU. It is demonstrated that the code achieves different speedups with different CUDA-enabled GPUs. The numerical behaviour of the SPH code is validated with a standard benchmark test case of dam break flow impacting on an obstacle where good agreement with the experimental results is observed. Both the achieved speed-ups and the quantitative agreement with experiments suggest that CUDA-based GPU programming can be used in SPH methods with efficiency and reliability.
format	article
author	Alejandro C Crespo Jose M Dominguez Anxo Barreiro Moncho Gómez-Gesteira Benedict D Rogers
author_facet	Alejandro C Crespo Jose M Dominguez Anxo Barreiro Moncho Gómez-Gesteira Benedict D Rogers
author_sort	Alejandro C Crespo
title	GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.
title_short	GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.
title_full	GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.
title_fullStr	GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.
title_full_unstemmed	GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.
title_sort	gpus, a new tool of acceleration in cfd: efficiency and reliability on smoothed particle hydrodynamics methods.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/a042db66a291498581da964476d75d63
work_keys_str_mv	AT alejandroccrespo gpusanewtoolofaccelerationincfdefficiencyandreliabilityonsmoothedparticlehydrodynamicsmethods AT josemdominguez gpusanewtoolofaccelerationincfdefficiencyandreliabilityonsmoothedparticlehydrodynamicsmethods AT anxobarreiro gpusanewtoolofaccelerationincfdefficiencyandreliabilityonsmoothedparticlehydrodynamicsmethods AT monchogomezgesteira gpusanewtoolofaccelerationincfdefficiencyandreliabilityonsmoothedparticlehydrodynamicsmethods AT benedictdrogers gpusanewtoolofaccelerationincfdefficiencyandreliabilityonsmoothedparticlehydrodynamicsmethods
_version_	1718424309921218560

GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle hydrodynamics methods.

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