Performance Evaluation of GPU-Accelerated Spatial Interpolation Using Radial Basis Functions for Building Explicit Surfaces

This paper focuses on evaluating the computational performance of parallel spatial interpolation with Radial Basis Functions (RBFs) that is developed by utilizing modern GPUs. The RBFs can be used in spatial interpolation to build explicit surfaces such as Discrete Elevation Models. When interpolati...

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Vydáno v:	International journal of parallel programming Ročník 46; číslo 5; s. 963 - 991
Hlavní autoři:	Ding, Zengyu, Mei, Gang, Cuomo, Salvatore, Xu, Nengxiong, Tian, Hong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.10.2018 Springer Nature B.V
Témata:	Algorithms Basis functions Computational efficiency Computer Science Computing time Data points Efficiency Interpolation Linear equations Performance evaluation Processor Architectures Radial basis function Software Engineering/Programming and Operating Systems Special Issue on Parallel Approaches for Data Mining in the Internet of Things Realm Theory of Computation Spatial interpolation Radial basis function (RBF) Parallel programming Graphics processing unit (GPU) Explicit surfaces
ISSN:	0885-7458, 1573-7640
On-line přístup:	Získat plný text
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