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dc.contributor.authorMartín, Gonzalo
dc.contributor.authorSingh, David E.
dc.contributor.authorMarinescu, Maria-Cristina
dc.contributor.authorCarretero, Jesús
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2016-05-11T10:25:19Z
dc.date.available2017-02-28T01:30:16Z
dc.date.issued2015-02-01
dc.identifier.citationMartín, Gonzalo [et al.]. Towards efficient large scale epidemiological simulations in EpiGraph. "Parallel Computing", 01 Febrer 2015, vol. 42, p. 88-102.
dc.identifier.issn0167-8191
dc.identifier.urihttp://hdl.handle.net/2117/86922
dc.description.abstractThe work we present in this paper focuses on understanding the propagation of flu-like infectious outbreaks between geographically distant regions due to the movement of people outside their base location. Our approach incorporates geographic location and a transportation model into our existing region-based, closed-world EpiGraph simulator to model a more realistic movement of the virus between different geographic areas. This paper describes the MPI-based implementation of this simulator, including several optimization techniques such as a novel approach for mapping processes onto available processing elements based on the temporal distribution of process loads. We present an extensive evaluation of EpiGraph in terms of its ability to simulate large-scale scenarios, as well as from a performance perspective.
dc.description.sponsorshipWe would like to acknowledge the assistance provided by David del Río Astorga and Alberto Martín Cajal. This work has been partially supported by the Spanish Ministry of Science TIN2010-16497, 2010.
dc.format.extent15 p.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica
dc.subject.lcshLarge scale systems--Data processing
dc.subject.lcshData analysis series
dc.subject.otherSimulation
dc.subject.otherComputational epidemiology
dc.subject.otherParallel algorithms
dc.subject.otherMPI implementation
dc.subject.otherResource allocation
dc.titleTowards efficient large scale epidemiological simulations in EpiGraph
dc.typeArticle
dc.subject.lemacDades--Transmissió
dc.identifier.doi10.1016/j.parco.2014.09.004
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S016781911400115X
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/6PN/TIN2010-16497
local.citation.publicationNameParallel Computing
local.citation.volume42
local.citation.startingPage88
local.citation.endingPage102


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