dc.creatorGualan Saavedra, Ronald Marcelo
dc.creatorSolano Quinde, Lizandro Damian
dc.date2018-01-11T16:47:09Z
dc.date2018-01-11T16:47:09Z
dc.date2015-07-14
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:32:02Z
dc.date.available2018-03-14T20:32:02Z
dc.identifier9781479975884
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84959369754&doi=10.1109%2fAPCASE.2015.57&partnerID=40&md5=84285777b8550bd903616c4c65ab9548
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29017
dc.identifier10.1109/APCASE.2015.57
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1135919
dc.descriptionThe Weather Research and Forecasting (WRF) is a next-generation mesoscale numerical weather prediction system. It is designed with a dual purpose, forecasting and research. The WRF software infrastructure consists of a number of components such as dynamic solvers and physical simulation modules. Dynamic solvers are intensive computational components of the WRF model. In this paper, the Horizontal Diffusion method, which is part of the ARW (Advanced Research WRF) dynamic solver, is accelerated using GPUs. The performance of the GPU-based method was compared to that one of a CPU-based single-threaded counterpart on a computational domain of 433x308 horizontal grid points with 35 vertical levels. Thus, the achieved speedup is 19x on a NVIDIA Tesla M2090, without considering data I/O.
dc.descriptionQuito
dc.languageen_US
dc.publisherINSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/ec/
dc.sourceinstname:Universidad de Cuenca
dc.sourcereponame:Repositorio Digital de la Universidad de Cuenca
dc.sourceProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
dc.subjectCompute Unified Device Architecture (CUDA)
dc.subjectDynamic Solver
dc.subjectGPGPU
dc.subjectGraphics Processing Unit (GPU)
dc.subjectHorizontal Diffusion method
dc.subjectWeather Research and Forecasting (WRF) model
dc.titleGPU Acceleration of the Horizontal Diffusion Method in the Weather Research and Forecasting (WRF) Model
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución