Ecuador
| Artículos de revistas
Multi-GPU implementation of the horizontal diffusion method of the weather research and forecast model
dc.creator | Solano Quinde, Lizandro Damian | |
dc.creator | Gualan Saavedra, Ronald Marcelo | |
dc.creator | Zuñiga Prieto, Miguel Angel | |
dc.date | 2018-01-11T16:47:22Z | |
dc.date | 2018-01-11T16:47:22Z | |
dc.date | 2016-03-12 | |
dc.date | info:eu-repo/date/embargoEnd/2022-01-01 0:00 | |
dc.date.accessioned | 2018-03-14T20:32:15Z | |
dc.date.available | 2018-03-14T20:32:15Z | |
dc.identifier | 9781450319089 | |
dc.identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968754875&doi=10.1145%2f2883404.2883407&partnerID=40&md5=a8d9bd2ae14b01d50bb0d6805a9ec7f4 | |
dc.identifier | http://dspace.ucuenca.edu.ec/handle/123456789/29086 | |
dc.identifier | 10.1145/2883404.2883407 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1135988 | |
dc.description | 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 | en_US | |
dc.publisher | ASSOCIATION FOR COMPUTING MACHINERY INC | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ | |
dc.source | instname:Universidad de Cuenca | |
dc.source | reponame:Repositorio Digital de la Universidad de Cuenca | |
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 | Artículos de revistas |