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

2012; Latin American Center for Computer Studies; Volume: 15; Issue: 3 Linguagem: Inglês

10.19153/cleiej.15.3.2

0717-5000

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

Atmospheric and Environmental Gas Dynamics

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.