Name
Title | ||
|---|---|---|
An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model |
Abstract | ||
|---|---|---|
The Weather Research and Forecasting (WRF) model does not usually show an adequate scalability for small-sized domains in large computing platforms. With this in mind, we propose a novel asynchronous software architecture for the WRF model that decouples the calculation of the solar radiation from the rest of the model. The experimental evaluation was conducted on real-world data for forecasting the photovoltaic energy fed into the electrical grid of Uruguay by twelve solar power plants. The experimental results show that the proposed architecture can make a better use of the hardware resources available on the computing platform, reducing the total runtime of the WRF while maintaining the numerical accuracy. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1002/cpe.5750 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
Keywords | DocType | Volume |
multicore hardware,pipeline parallelism,solar energy,weather forecasting | Journal | 32.0 |
Issue | ISSN | Citations |
19.0 | 1532-0626 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Bayá | 1 | 0 | 0.34 |
| Martín Pedemonte | 2 | 87 | 6.10 |
| Alejandro Gutiérrez Arce | 3 | 0 | 0.34 |
| Pablo Ezzatti | 4 | 124 | 28.24 |