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dc.contributor.authorMonasterio, Violeta-
dc.contributor.authorCastro Mur, J.-
dc.contributor.authorCarro, Jesús-
dc.identifier.citationMonasterio V, Castro-Mur J, Carro J (2018) DENIS: Solving cardiac electrophysiological simulations with volunteer computing. PLoS ONE 13(10): e0205568.
dc.description.abstractCardiac 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.es_ES
dc.format.extent12 p.es_ES
dc.publisherAlexander V. Panfilov, Universiteit Gent, BELGIUMes_ES
dc.relationThis work was funded under project DPI2016-75458-R by MINECO and FEDER, by Aragon Government and European Regional Development Fund through Grupo de Referencia BSICoS (T39_17R), and by CIBER in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) through the Instituto de Salud Carlos III and FEDER (Spain). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.relation.requiresAdobe PDFes_ES
dc.rightsAtribución 4.0 Internacional*
dc.subjectCellular electrophysiologyes_ES
dc.titleDENIS: Solving cardiac electrophysiological simulations with volunteer computinges_ES
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