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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6191130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT monasteriovioleta denissolvingcardiacelectrophysiologicalsimulationswithvolunteercomputing AT castromurjoel denissolvingcardiacelectrophysiologicalsimulationswithvolunteercomputing AT carrojesus denissolvingcardiacelectrophysiologicalsimulationswithvolunteercomputing |