Parallel conversion of satellite image information for a wind energy generation forecasting model

Authors

  • Juan Souteras
  • Andrés Flevaris
  • Germán Gadea
  • Sergio Nesmachnow
  • Alejandro Guitiérrez
  • Gabriel Cazes

DOI:

https://doi.org/10.19153/cleiej.15.3.2

Abstract

This paper presents an efficient parallel algorithm for the problem of converting satellite imagery in binary files. The algorithm was designed to update at global scale the land cover information used by the WRF climate model. We present the characteristics of the implemented algorithm, as well as the results of performance analysis and comparisons between two approaches to implement the algorithm. The performance analysis shows that the implemented parallel algorithm improves substantially against the sequential algorithm that solves the problem, obtaining a linear speedup.

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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).