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DENIS: Solving cardiac electrophysiological simulations with volunteer computing

Cardiac electrophysiological simulations are computationally intensive tasks. The growing complexity of cardiac models, together with the increasing use of large ensembles of models (known as populations of models), make extensive simulation studies unfeasible for regular stand-alone computers. To a...

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Detalles Bibliográficos
Autores principales: Monasterio, Violeta, Castro-Mur, Joel, Carro, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191130/
https://www.ncbi.nlm.nih.gov/pubmed/30325959
http://dx.doi.org/10.1371/journal.pone.0205568
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author Monasterio, Violeta
Castro-Mur, Joel
Carro, Jesús
author_facet Monasterio, Violeta
Castro-Mur, Joel
Carro, Jesús
author_sort Monasterio, Violeta
collection PubMed
description Cardiac electrophysiological simulations are computationally intensive tasks. The growing complexity of cardiac models, together with the increasing use of large ensembles of models (known as populations of models), make extensive simulation studies unfeasible for regular stand-alone computers. To address this problem, we developed DENIS, a cardiac electrophysiology simulator based on the volunteer computing paradigm. We evaluated the performance of DENIS by testing the effect of simulation length, task deadline, and batch size, on the time to complete a batch of simulations. In the experiments, the time to complete a batch of simulations did not increase with simulation length, and had little dependence on batch size. In a test case involving the generation of a population of models, DENIS was able to reduce the simulation time from years to a few days when compared to a stand-alone computer. Such capacity makes it possible to undertake large cardiac simulation projects without the need for high performance computing infrastructure.
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spelling pubmed-61911302018-10-25 DENIS: Solving cardiac electrophysiological simulations with volunteer computing Monasterio, Violeta Castro-Mur, Joel Carro, Jesús PLoS One Research Article Cardiac electrophysiological simulations are computationally intensive tasks. The growing complexity of cardiac models, together with the increasing use of large ensembles of models (known as populations of models), make extensive simulation studies unfeasible for regular stand-alone computers. To address this problem, we developed DENIS, a cardiac electrophysiology simulator based on the volunteer computing paradigm. We evaluated the performance of DENIS by testing the effect of simulation length, task deadline, and batch size, on the time to complete a batch of simulations. In the experiments, the time to complete a batch of simulations did not increase with simulation length, and had little dependence on batch size. In a test case involving the generation of a population of models, DENIS was able to reduce the simulation time from years to a few days when compared to a stand-alone computer. Such capacity makes it possible to undertake large cardiac simulation projects without the need for high performance computing infrastructure. Public Library of Science 2018-10-16 /pmc/articles/PMC6191130/ /pubmed/30325959 http://dx.doi.org/10.1371/journal.pone.0205568 Text en © 2018 Monasterio et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Monasterio, Violeta
Castro-Mur, Joel
Carro, Jesús
DENIS: Solving cardiac electrophysiological simulations with volunteer computing
title DENIS: Solving cardiac electrophysiological simulations with volunteer computing
title_full DENIS: Solving cardiac electrophysiological simulations with volunteer computing
title_fullStr DENIS: Solving cardiac electrophysiological simulations with volunteer computing
title_full_unstemmed DENIS: Solving cardiac electrophysiological simulations with volunteer computing
title_short DENIS: Solving cardiac electrophysiological simulations with volunteer computing
title_sort denis: solving cardiac electrophysiological simulations with volunteer computing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191130/
https://www.ncbi.nlm.nih.gov/pubmed/30325959
http://dx.doi.org/10.1371/journal.pone.0205568
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