Ecuador | Artículos de revistas
dc.creatorSolano Quinde, Lizandro Damian
dc.creatorGualan Saavedra, Ronald Marcelo
dc.creatorZuñiga Prieto, Miguel Angel
dc.date2018-01-11T16:47:22Z
dc.date2018-01-11T16:47:22Z
dc.date2016-03-12
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:32:15Z
dc.date.available2018-03-14T20:32:15Z
dc.identifier9781450319089
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84968754875&doi=10.1145%2f2883404.2883407&partnerID=40&md5=a8d9bd2ae14b01d50bb0d6805a9ec7f4
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29086
dc.identifier10.1145/2883404.2883407
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1135988
dc.descriptionThe Weather Research and Forecasting (WRF), a next generation mesoscale numerical weather prediction system, has a considerable amount of work regarding GPU acceleration. However, the amount of works exploiting multi-GPU sys- tems is limited. This work constitutes an effort on using GPU computing over the WRF model and is focused on a computationally intensive portion of the WRF: the Horizontal Diffusion method. Particularly, this work presents the enhancements that enable a single-GPU based implementation to exploit the parallelism of multi-GPU systems. The performance of the multi-GPU and single-GPU based implementations are compared on a computational domain of 433x308 horizontal grid points with 35 vertical levels, and the resulting speedup of the kernel is 3.5x relative to one GPU. The experiments were carried out on a multi-core computer with two NVIDIA Tesla K40m GPUs.
dc.languageen_US
dc.publisherASSOCIATION FOR COMPUTING MACHINERY 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 of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2016
dc.subjectCompute Unified Device Archi- tecture (CUDA)
dc.subjectDynamic solver
dc.subjectGPGPU
dc.subjectGraphics Processing Unit (GPU)
dc.subjectHorizon- tal diffusion method
dc.subjectMulti-GPU implementation
dc.subjectNVIDIA tesla K40m GPU
dc.subjectWeather Research and Forecasting (WRF) model
dc.titleMulti-GPU implementation of the horizontal diffusion method of the weather research and forecast model
dc.typeArtículos de revistas


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