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dc.contributor.authorPinzón, Reinhardt
dc.contributor.authorMüller, Michel
dc.contributor.authorNakaegawa, Toshiyuki
dc.contributor.authorSánchez-Galán, Javier
dc.contributor.authorUjaldon-Martínez, Manuel 
dc.contributor.authorFábrega, José
dc.date.accessioned2024-02-09T12:52:28Z
dc.date.available2024-02-09T12:52:28Z
dc.date.issued2020-09
dc.identifier.citationR. Pinzón, M. Muller, R. Nakaegawa, J. Sánchez-Galán, J. Fábrega, M. Ujaldón. "Weather Projections and Dynamical Downscaling for the Republic of Panama: Evaluation of Implementation Methods via GPGPU Acceleration". Proceedings 22nd Congress of Intl. Association for Hydro Environment Engineering and Research (IAHR) and Asia Pacific Division (APD). Sapporo (Japón), 14 al 17 de Septiembre de 2020.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/30308
dc.description.abstractClimate change could have a critical impact on the Republic of Panama where a major segment of the economy is dependent on the operation of the Panama Canal. New capabilities to do targeted research around climate change impacts on Panama is therefore being established. This includes anew GPU-cluster infrastructure called Iberogun, based around 2 DGX1 servers (each running 16 NVIDIA Tesla P100 GPUs). This infrastructure will be used to evaluate potential climate models and models of extreme weather events. In this review we therefore present an evaluation of the GPGPU (General Purpose Graphic Processing Unit, here abbreviated GPU) implementation methods for the study of weather projections and dynamical downscaling in the Republic of Panama. Different methods are discussed, including: domain-specific languages (DSLs), directive-based porting methods, granularity optimization methods, and memory layout transforming methods. One of these approaches that has yielded interesting previous results is further discussed, a directive-based code transformation method called ‘Hybrid Fortran’ that permits a high-performance GPU port for arranged lattice Fortran codes. Finally, we suggest a method akin to previous investigations related to climate change done for the Republic of Panama, but with acceleration via GPU capabilities.es_ES
dc.description.sponsorshipWe acknowledge a scientific fund from Sistema Nacional de Investigación de Panamá (SNI) and Projects: FID- 2016-275 and EIE-2018-16 of Convocatorias públicas of Secretaria Nacional de Ciencia y Tecnología e Innovación (SENACYT). We acknowledge funds and support from JSPS Grant-in-Aid for Specially Promoted Research 16H06291. We acknowledge Theme C of the TOUGOU program granted by the Japanese Ministry of Education, Culture, Sports, Science and Technology. The authors thank the Universidad Tecnológica de Panamá their extensive support, and for the use of their CIHH-group HPC-Cluster-Iberogun. Also acknowledge to NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTiempo (Meteorología) - Previsiónes_ES
dc.subject.otherCUDAes_ES
dc.subject.otherOpenACCes_ES
dc.subject.otherIberogun GPU-clusteres_ES
dc.subject.otherFortranes_ES
dc.subject.otherWeather projectionses_ES
dc.subject.otherClimatees_ES
dc.subject.otherPanamaes_ES
dc.titleWeather Projections and Dynamical Downscaling for the Republic of Panama: Evaluation of Implementation Methods via GPGPU Accelerationes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitle22nd Congress of Intl. Association for Hydro Environment Engineering and Research (IAHR) and Asia Pacific Division (APD)es_ES
dc.relation.eventplaceSapporo (Japón)es_ES
dc.relation.eventdate14 al 17 de Septiembre de 2020es_ES
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*


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