|4/2014 - 17|
High Performance Processing and Analysis of Geospatial Data Using CUDA on GPUSTOJANOVIC, N. , STOJANOVIC, D.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (810 KB) | Citation | Downloads: 294 | Views: 1,079|
high performance computing, geographic information systems, multiprocessing systems, parallel programming, performance analysis
parallel(6), data(6), graphics(5), cuda(5), analysis(4)
Blue keywords are present in both the references section and the paper title.
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.
Web of Science® Times Cited: 1 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 1
View record in SCOPUS® [Free preview]
 Speeding Up VM Image Distribution for Cloud Data Centers, LEE, C., LEE, H., KIM, E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.04002 [CrossRef] [Full text]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Thomson Reuters, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.