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DC Field | Value | Language |
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dc.contributor.author | Solano Quinde, Lizandro Damian | - |
dc.contributor.author | Gualan Saavedra, Ronald Marcelo | - |
dc.contributor.author | Zuñiga Prieto, Miguel Angel | - |
dc.date.accessioned | 2018-01-11T16:47:22Z | - |
dc.date.available | 2018-01-11T16:47:22Z | - |
dc.date.issued | 2016-03-12 | - |
dc.identifier.isbn | 9781450319089 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968754875&doi=10.1145%2f2883404.2883407&partnerID=40&md5=a8d9bd2ae14b01d50bb0d6805a9ec7f4 | - |
dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/29086 | - |
dc.description.abstract | The 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.language.iso | en_US | - |
dc.publisher | ASSOCIATION FOR COMPUTING MACHINERY INC | - |
dc.source | Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2016 | - |
dc.subject | Compute Unified Device Archi- Tecture (Cuda) | - |
dc.subject | Dynamic Solver | - |
dc.subject | Gpgpu | - |
dc.subject | Graphics Processing Unit (Gpu) | - |
dc.subject | Horizon- Tal Diffusion Method | - |
dc.subject | Multi-Gpu Implementation | - |
dc.subject | Nvidia Tesla K40m Gpu | - |
dc.subject | Weather Research And Forecasting (Wrf) Model | - |
dc.title | Multi-GPU implementation of the horizontal diffusion method of the weather research and forecast model | - |
dc.type | Article | - |
dc.ucuenca.idautor | 0102428893 | - |
dc.ucuenca.idautor | 1400658611 | - |
dc.ucuenca.idautor | 0102498052 | - |
dc.identifier.doi | 10.1145/2883404.2883407 | - |
dc.ucuenca.embargoend | 2022-01-01 0:00 | - |
dc.ucuenca.afiliacion | solano-quinde, l., dept. of electrical, electronic and telecommunications eng., university of cuenca, ecuador | - |
dc.ucuenca.afiliacion | gualan-saavedra, r., dept. of electrical, electronic and telecommunications eng., university of cuenca, ecuador | - |
dc.ucuenca.afiliacion | zuñiga-prieto, m., dept. of computer science, university of cuenca, ecuador | - |
dc.ucuenca.indicebibliografico | SCOPUS | - |
dc.ucuenca.nombrerevista | 7th International Workshop on Programming Models and Applications for Multicores and Manycores PMAM 2016 | - |
Appears in Collections: | Artículos |
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documento.pdf | 168.92 kB | Adobe PDF | View/Open |
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