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High Performance Processing and Analysis of Geospatial Data Using CUDA on GPUSTOJANOVIC, N. , STOJANOVIC, D.
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high performance computing, geographic information systems, multiprocessing systems, parallel programming, performance analysis
parallel(6), data(6), graphics(5), cuda(5), analysis(4)
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About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 109 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04017
Web of Science Accession Number: 000348772500017
SCOPUS ID: 84921662038
In this paper, the high-performance processing of massive geospatial data on many-core GPU (Graphic Processing Unit) is presented. We use CUDA (Compute Unified Device Architecture) programming framework to implement parallel processing of common Geographic Information Systems (GIS) algorithms, such as viewshed analysis and map-matching. Experimental evaluation indicates the improvement in performance with respect to CPU-based solutions and shows feasibility of using GPU and CUDA for parallel implementation of GIS algorithms over large-scale geospatial datasets.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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