Title
Performance Evaluation of GPU-Accelerated Spatial Interpolation Using Radial Basis Functions for Building Explicit Surfaces.
Abstract
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 interpolating with large-size of data points and interpolated points for building explicit surfaces, the computational cost would be quite expensive. To improve the computational efficiency, we specifically develop a parallel RBF spatial interpolation algorithm on many-core GPUs, and compare it with the parallel version implemented on multi-core CPUs. Five groups of experimental tests are conducted on two machines to evaluate the computational efficiency of the presented GPU-accelerated RBF spatial interpolation algorithm. Experimental results indicate that: in most cases, the parallel RBF interpolation algorithm on many-core GPUs does not have any significant advantages over the parallel version on multi-core CPUs in terms of computational efficiency. This unsatisfied performance of the GPU-accelerated RBF interpolation algorithm is due to: (1) the limited size of global memory residing on the GPU, and (2) the need to solve a system of linear equations in each GPU thread to calculate the weights and prediction value of each interpolated point.
Year
DOI
Venue
2018
10.1007/s10766-017-0538-6
International Journal of Parallel Programming
Keywords
Field
DocType
Spatial interpolation, Radial basis function (RBF), Explicit surfaces, Parallel programming, Graphics processing unit (GPU)
Nearest-neighbor interpolation,Spline interpolation,Multivariate interpolation,Computer science,Interpolation,Hierarchical RBF,Stairstep interpolation,Theoretical computer science,Trilinear interpolation,Bilinear interpolation
Journal
Volume
Issue
ISSN
46
5
0885-7458
Citations 
PageRank 
References 
3
0.39
22
Authors
5
Name
Order
Citations
PageRank
Zengyu Ding151.80
Gang Mei2236.98
Salvatore Cuomo321141.33
Nengxiong Xu4226.00
Hong Tian5173.04