An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model-Reference-Cited by-同舟云学术

An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model

Published:2020-03-30 Issue:19 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Bayá Rodrigo¹,Pedemonte Martín¹^ORCID,Gutiérrez Arce Alejandro²,Ezzatti Pablo¹

Affiliation:

1. Instituto de Computación, Facultad de Ingeniería Universidad de la República Montevideo Uruguay

2. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental, Facultad de Ingeniería Universidad de la República Montevideo Uruguay

Funder

Agencia Nacional de Investigación e Innovación

Comisión Sectorial de Investigación Científica

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5750

Reference37 articles.

1. Dirección Nacional de Energía ‐ Ministerio de Industria Energía y Minería (in Spanish);2019.http://www.dne.gub.uy/. Accessed December 2019.

2. PorriniC GutiérrezA CazesG DufrechouE PedemonteM EzzattiP. Leveraging HPC techniques to develop a prediction tool for photovoltaic solar energy in uruguay. Paper presented at: Proceedings of the 2nd Frontiers in Computational Physics Conference: Energy Sciences; June 3‐5 2015; Zurich Switzerland.

3. PorriniC GutiérrezA CazesG HermidaG OroñoD PuppoM. Development of a model output statistic and implementation of an operational solar photovoltaic energy forecast model based in WRF. Paper presented at: Proceedings of the 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM);2015:248‐253; IEEE.

4. GPU ACCELERATION OF NUMERICAL WEATHER PREDICTION

5. Another step to the full GPU implementation of the weather research and forecasting model

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