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Revista Cubana de Ciencias Informáticas

versão On-line ISSN 2227-1899

Resumo

CASTILLO REYES, Grethell; ACEVEDO MARTINEZ, Liesner  e  LUZUA FARIAS, Guillermo. Shared memory parallel algorithm for extracting the terrain slope using OpenMP. Rev cuba cienc informat [online]. 2016, vol.10, n.3, pp.27-41. ISSN 2227-1899.

ABSTRACT The Digital Elevation Models are the basis to calculate several terrain parameters to characterize topography, such as the slope. The calculation of this parameters is important for the Geographic Information Systems, because their applications have direct impact on decision making when it comes to assess the terrain characteristics in emergency situations, for example: possible floods and landslides in mountainous slopes. Most of the algorithms used are complex from a computational point of view and depend on the size and resolution of the DEMs. One of the main challenges in this regard involves the design and implementation of parallel algorithms that use the full potential of modern computer processing in order to reduce the computation time. The main contribution of this paper is the proposal of a shared memory parallel algorithm that uses computing capabilities of multicore processors. The proposal was implemented using the Application Programming Interface OpenMP. The experiments carried out show a good overall performance.

Palavras-chave : Digital Elevation Model; parallel processing; slope; OpenMP.

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