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Parallel Computing of Catchment Basins in Large Digital Elevation Model

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High Performance Computing and Applications

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5938))

Abstract

This paper presents a fast and flexible parallel implementation to compute catchment basins in the large digital elevation models (DEM for short). This algorithm aims at using all the specific properties of the problem to optimize local computations and to avoid useless communications or synchronizations. The algorithm has been implemented in MPI and the first benchmarks show the scalability of the method.

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© 2010 Springer-Verlag Berlin Heidelberg

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Do, HT., Limet, S., Melin, E. (2010). Parallel Computing of Catchment Basins in Large Digital Elevation Model. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-11842-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11841-8

  • Online ISBN: 978-3-642-11842-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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