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Optimizing domain decomposition in an ocean model: the case of NEMO
dc.contributor.author | Tintó, Oriol |
dc.contributor.author | Acosta, Mario |
dc.contributor.author | Castrillo, Miguel |
dc.contributor.author | Cortés, Ana |
dc.contributor.author | Sanchez, Alicia |
dc.contributor.author | Serradell, Kim |
dc.contributor.author | Doblas-Reyes, Francisco |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2017-07-27T08:50:40Z |
dc.date.available | 2017-07-27T08:50:40Z |
dc.date.issued | 2017 |
dc.identifier.citation | Tintó, O. [et al.]. Optimizing domain decomposition in an ocean model: the case of NEMO. "Procedia Computer Science", 2017, vol. 108, p. 776-785. |
dc.identifier.issn | 1877-0509 |
dc.identifier.uri | http://hdl.handle.net/2117/106908 |
dc.description.abstract | Earth System Models are critical tools for the study of our climate and its future trends. These models are in constant evolution and their growing complexity entails an incrementing demand of the resources they require. Since the cost of using these state-of-the-art models is huge, looking closely at the factors that are able to impact their computational performance is mandatory. In the case of the state-of-the-art ocean model NEMO (Nucleus for European Modelling of the Ocean), used in many projects around the world, not enough attention has been given to the domain decomposition. In this work we show the impact that the selection of a particular domain decomposition can have on computational performance and how the proposed methodology substantially improves it. |
dc.description.sponsorship | The research leading to these results has received funding from the EU H2020 Framework Programme under grant agreement no 675191 and by the Ministerio de Economa y Competitividad (MINECO) under grant TIN201453234C21R |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivs 4.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject.lcsh | Climate--Research |
dc.subject.lcsh | Climate change |
dc.subject.lcsh | Earth systems data and models |
dc.subject.lcsh | Ocean-meteorological relations |
dc.subject.other | Earth System Models |
dc.subject.other | HPC |
dc.subject.other | Domain decomposition |
dc.subject.other | NEMO |
dc.title | Optimizing domain decomposition in an ocean model: the case of NEMO |
dc.type | Article |
dc.subject.lemac | Canvis climàtics |
dc.subject.lemac | Clima--Observacions |
dc.subject.lemac | Ciències de la terra |
dc.subject.lemac | Meteorologia marítima |
dc.identifier.doi | 10.1016/j.procs.2017.05.257 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1877050917308888 |
dc.rights.access | Open Access |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/675191/EU/Excellence in SImulation of Weather and Climate in Europe/ESiWACE |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TIN2014-53234-C2-1-R/ES/PENSAMIENTO COMPUTACIONAL E INGENIERIA DEL RENDIMIENTO PARA APLICACIONES DE CIENCIAS DE LA VIDA Y MEDIOAMBIENTALES/ |
local.citation.publicationName | Procedia Computer Science |
local.citation.volume | 108 |
local.citation.startingPage | 776 |
local.citation.endingPage | 785 |
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