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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Bibliographic Details
Published in:	International journal of parallel programming Vol. 46; no. 5; pp. 963 - 991
Main Authors:	Ding, Zengyu, Mei, Gang, Cuomo, Salvatore, Xu, Nengxiong, Tian, Hong
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2018 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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