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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/127867
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dc.contributor.authorHanappe, Peteres_ES
dc.contributor.authorSteels, Luces_ES
dc.date.accessioned2016-01-20T13:06:12Z-
dc.date.available2016-01-20T13:06:12Z-
dc.date.issued2011-
dc.identifier.citationGeoscientific Model Development 4(3): 835-844 (2011)es_ES
dc.identifier.issn1991-959X-
dc.identifier.urihttp://hdl.handle.net/10261/127867-
dc.descriptionThis work is distributed under the Creative Commons Attribution 3.0 License.-- et al.es_ES
dc.description.abstractWe have optimised the atmospheric radiation algorithm of the FAMOUS climate model on several hardware platforms. The optimisation involved translating the Fortran code to C and restructuring the algorithm around the computation of a single air column. Instead of the existing MPI-based domain decomposition, we used a task queue and a thread pool to schedule the computation of individual columns on the available processors. Finally, four air columns are packed together in a single data structure and computed simultaneously using Single Instruction Multiple Data operations.es_ES
dc.description.sponsorshipSony CSL would like to thank the UK Met Office for providing us with a Vendor Benchmarking License, and the Sony Computer Entertainment R&D teams for their support. This work was also supported by EU FP6 project European Climate of the Last Millennium (MILLENNIUM 017008). O. B. and N. B. acknowledge support from the DECC/Defra Hadley Centre Climate Programme (GA01101).es_ES
dc.language.isoenges_ES
dc.publisherEuropean Geosciences Uniones_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.titleFAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithmes_ES
dc.typeartículoes_ES
dc.identifier.doi10.5194/gmd-4-835-2011-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.5194/gmd-4-835-2011es_ES
dc.identifier.e-issn1991-9603-
dc.rights.licensehttp://creativecommons.org/licenses/by/3.0/es_ES
dc.contributor.funderSony Computer Science Laboratory in Parises_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderDepartment of Energy and Climate Change (UK)es_ES
dc.relation.csicNoes_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/100008428es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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Este item está licenciado bajo una Licencia Creative Commons Creative Commons