Impact of data layouts on the efficiency of GPU-accelerated IDW interpolation

This paper focuses on evaluating the impact of different data layouts on the computational efficiency of GPU-accelerated Inverse Distance Weighting (IDW) interpolation algorithm. First we redesign and improve our previous GPU implementation that was performed by exploiting the feature of CUDA dynami...

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Detalles Bibliográficos
Autores principales: Mei, Gang, Tian, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735051/
https://www.ncbi.nlm.nih.gov/pubmed/26877902
http://dx.doi.org/10.1186/s40064-016-1731-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735051/
https://www.ncbi.nlm.nih.gov/pubmed/26877902
http://dx.doi.org/10.1186/s40064-016-1731-6

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