Numerical weather model brams evaluation on many-core architectures: a micro and macro vision

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dc.contributor.authorde Almeida, Eugenio Sper
dc.contributor.authorBauer, Michael Anthony
dc.contributor.authorFazenda, Alvaro Luiz [UNIFESP]
dc.date.accessioned2019-01-21T10:29:34Z
dc.date.available2019-01-21T10:29:34Z
dc.date.issued2016
dc.description.abstractThis paper investigates the performance of a weather forecasting application (Brazilian developments on the regional atmospheric modelling system - BRAMS) on high performance computing (HPC) clusters with a multi-core architecture. We simulated atmosphere conditions over South America for 24 hours ahead using the BRAMS, aiming to understand the impact of different architectural configurations on performance and scalability. Our analyses consider execution in intra-node and inter-node configurations of a cluster with 24 cores per node. Results reveal differences in the BRAMS performance caused by interconnection. The BRAMS may get better performance by using a newer version of MPI library implementation (one-copy schema) and improving spatial resolution.en
dc.description.affiliationNatl Inst Space Res, Ctr Weather Forecast & Climate Studies, BR-12630000 Cachoeira Paulista, SP, Brazil
dc.description.affiliationWestern Univ, Dept Comp Sci, London, ON N6A 5B7, Canada
dc.description.affiliationUniv Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipFAPESP [2010/05823-7]
dc.description.sponsorshipIDFAPESP: 2010/05823-7
dc.format.extent330-340
dc.identifierhttps://doi.org/10.1504/IJCSE.2016.076940
dc.identifier.citationInternational Journal Of Computational Science And Engineering. Geneva, v. 12, n. 4, p. 330-340, 2016.
dc.identifier.doi10.1504/IJCSE.2016.076940
dc.identifier.issn1742-7185
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/49272
dc.identifier.wosWOS:000392836100007
dc.language.isoeng
dc.publisherKarger
dc.relation.ispartofInternational Journal Of Computational Science And Engineering
dc.rightsAcesso restrito
dc.subjectPerformanceen
dc.subjectRegional Atmospheric Modelling Systemen
dc.subjectBramsen
dc.subjectNumerical Weather Prediction Modelen
dc.subjectHigh Performance Computingen
dc.subjectHpcen
dc.subjectMeteorologyen
dc.subjectParallel Processingen
dc.subjectMulti-Core ArchitecturePerformanceen
dc.subjectPredictionen
dc.subjectSystemsen
dc.titleNumerical weather model brams evaluation on many-core architectures: a micro and macro visionen
dc.typeArtigo
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