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dc.contributor.authorTomeu Hardasmal, Antonio Jorge 
dc.contributor.authorSalguero Hidalgo, Alberto Gabriel 
dc.contributor.otherIngeniería Informáticaes_ES
dc.date.accessioned2020-07-07T09:47:16Z
dc.date.available2020-07-07T09:47:16Z
dc.date.issued2020
dc.identifier.issn1613-4516
dc.identifier.urihttp://hdl.handle.net/10498/23293
dc.description.abstractIn the field of computational biology, in order to simulate multiscale biological systems, the Cellular Potts Model (CPM) has been used, which determines the actions that simulated cells can perform by determining a hamiltonian of energy that takes into account the influence that neighboring cells exert, under a wide range of parameters. There are some proposals in the literature that parallelize the CPM; in all cases, either lockbased techniques or other techniques that require large amounts of information to be disseminated among parallel tasks are used to preserve data coherence. In both cases, computational performance is limited. This work proposes an alternative approach for the parallelization of the model that uses transactional memory to maintain the coherence of the information. A Java implementation has been applied to the simulation of the ductal adenocarcinoma of breast in situ (DCIS). Times and speedups of the simulated execution of the model on the cluster of our university are analyzed. The results show a good speedup.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherWALTER DE GRUYTER GMBHes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceJournal of Integrative Bioinformatics. 2020; 20190070es_ES
dc.subjectCellular Automataes_ES
dc.subjectCellular Potts Modeles_ES
dc.subjectDCISes_ES
dc.subjectmulticorees_ES
dc.subjectparalleles_ES
dc.subjectsoftware transactional memoryes_ES
dc.subjectspeedupes_ES
dc.titleA Lock Free Approach To Parallelize The Cellular Potts Model: Application To Ductal Carcinoma In Situes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1515/jib-2019-0070


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Atribución 4.0 Internacional
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional