An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

Geostatistical methods provide a powerful tool to understand the complexity of data arising from Earth sciences. Since the mid 70's, this numerical approach is widely used to understand the spatial variation of natural phenomena in various domains like Oil and Gas, Mining or Environmental Indus...

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Veröffentlicht in:	Procedia computer science 2014, Vol.29, p.888-896
Hauptverfasser:	Allombert, Victor, Michea, David, Dupros, Fabrice, Bellier, Christian, Bourgine, Bernard, Aochi, Hideo, Jubertie, Sylvain
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Distributed, Parallel, and Cluster Computing Formal Languages and Automata Theory Geological Data Management (GDM) Geostatistics Graphic processing units (GPU) Linear algebra Out-of-core Programming Languages
Online-Zugang:	Volltext
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