Título:
Parallel computing applied to satellite images processing for solar resource estimates
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Autor:
Alonso-Suárez, Rodrigo
Nesmachnow, Sergio
Nesmachnow, Sergio
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Tipo de documento:
Preprint
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Descriptores:
Parallel computing
Satellite images
Solar resource assessment
Satellite images
Solar resource assessment
Año de publicación:
2012
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Resumen:
This article presents the application of parallel computing techniques to process satellite imagery information for solar resource estimates. A distributed memory parallel algorithm is introduced, which is capable to generate the required inputs from visible channel images to feed a statistical solar irradiation model. The parallelization strategy consists
in distributing the images within the available processors, and so, every image is accessed only by one process. The experimental analysis demonstrate that a maximum speedup value of 2.32 is achieved when using four computing resources, but beyond that point
the performance rather decrease due to hard-disk input/output velocity.
Descripción:
Trabajo presentado al V High-Performance Computing Latin America Symposium. CLEI Electronic Journal 15. Buenos Aires 2012.
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Citación:
Alonso-Suárez, R y Nesmachnow, S. "Parallel computing applied to satellite images processing for solar resource estimates" [Preprint] Publicado en las Actas del V High-Performance Computing Latin America Symposium. CLEI Electronic Journal 15. Buenos Aires, 2012.
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Licencia:
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| 2012_HPCLatam_parallel_processing.pdf | — | 299.6 KB | Adobe PDF |