Parallel Computing of Catchment Basins in Large Digital Elevation Model
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.
Parallel implementation Digital elevation model Catchment basin Image Segmentation
Hiep-Thuan Do Sebastien Limet Emmanuel Melin
LIFO - Univerite dOrleans Rue Leonard de Vinci, B.P. 6759 F-45067 ORLEANS Cedex 2
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
133-138
2009-08-10(万方平台首次上网日期,不代表论文的发表时间)