Semivariogram modeling by weighted least squares
Computers & Geosciences
Parallel programming with MPI
GSTAT: a program for geostatistical modelling, prediction and simulation
Computers & Geosciences
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Delaunay implementation to improve kriging computing efficiency
Computers & Geosciences
A two-dimensional interpolation function for irregularly-spaced data
ACM '68 Proceedings of the 1968 23rd ACM national conference
A theoretical approach to the use of cyberinfrastructure in geographical analysis
International Journal of Geographical Information Science
Pollution models and inverse distance weighting: Some critical remarks
Computers & Geosciences
Accelerating universal Kriging interpolation algorithm using CUDA-enabled GPU
Computers & Geosciences
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This work introduces a methodology for reducing the execution time of the kriging interpolation method without losing the quality of the model results, as occurs in simplified moving neighborhood solutions. The proposed solution distributes the computation applying parallel programming using MPI (Message Passing Interface) libraries in a HPC (High Performance Computing) environment. For the solution to be automatic and adaptable to different spatial patterns the variogram was automatically fitted; this preliminary modeling step is usually interactive in this interpolation method. The experimental results show the validity of the implemented solution, as it significantly reduces (in one of the examples the execution time decreases from 2h 38min to only 3min) the final execution time of the entire process. The proposed solution is not exclusive to a particular architecture or operating system and can be applied in various environments and spatial resolutions of the generated raster model as well as at different magnitudes of the data to be interpolated.