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  1. Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems (HPDGIS '11)
  2. Spherical interpolation over graphic processing units
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Spherical interpolation over graphic processing units
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Spherical interpolation over graphic processing units

Content Provider ACM Digital Library
Author Shi, Xuan Liu, Yan Han, Su Yeon Wang, Shaowen Ye, Fei
Abstract Spatial interpolation is a widely used GIS function for estimating values at locations where observed values are not available or adequate. One popular method for spatial interpolation is inverse distance weighted, which calculates estimated values based on a weighted sum of the values of a number of nearest neighbors that have observed values. This research focuses on solving a large-scale interpolation problem with a global coverage based on the inverse distance weighted method. Specifically, spherical distance is calculated instead of normal Euclidean distance commonly used in GIS software, which is necessary to find correct neighbors in the regions along the 180° longitude and in the polar areas. The computation of the global-scale interpolation based on spherical distance is intensive especially for achieving high-resolution results. This paper introduces how to accelerate such computation by exploiting massive parallelism provided by Graphic Processing Units (GPUs) with significant improvement of computational performance reported.
Starting Page 38
Ending Page 41
Page Count 4
File Format PDF
ISBN 9781450310406
DOI 10.1145/2070770.2070777
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-11-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Inverse distance weighted High performance computing Spatial interpolation Graphic processing units
Content Type Text
Resource Type Article
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