Parallel Computing Applied to Satellite Images Processing for Solar Resource Estimates

Authors

  • Rodrigo Alonso Suárez
  • Sergio Nesmachnow

DOI:

https://doi.org/10.19153/cleiej.15.3.4

Abstract

This article presents the application of parallel computing techniques to process satellite imagery information for solar resource estimates. A distributed memory parallel algo- rithm 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.

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Published

2012-12-01

Issue

Vol. 15 No. 3 (2012): Selected papers from HPCLatAM2012

Section

Articles

License

CLEIej is supported by its home institution, CLEI, and by the contribution of the Latin American and international researchers community, and it does not apply any author charges whatsoever for submitting and publishing. Since its creation in 1998, all contents are made publicly accesibly. The current license being applied is a (CC)-BY license (effective October 2015; between 2011 and 2015 a (CC)-BY-NC license was used).