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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
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2017-Jan-30
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  4/2014 - 17
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High Performance Processing and Analysis of Geospatial Data Using CUDA on GPU

STOJANOVIC, N. See more information about STOJANOVIC, N. on SCOPUS See more information about STOJANOVIC, N. on IEEExplore See more information about STOJANOVIC, N. on Web of Science, STOJANOVIC, D. See more information about STOJANOVIC, D. on SCOPUS See more information about STOJANOVIC, D. on SCOPUS See more information about STOJANOVIC, D. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (810 KB) | Citation | Downloads: 364 | Views: 1,565

Author keywords
high performance computing, geographic information systems, multiprocessing systems, parallel programming, performance analysis

References keywords
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

Abstract
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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.


References | Cited By

Cited-By ISI Web of Science

Web of Science® Times Cited: 3 [View]
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Cited-By CrossRef

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] 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]

[2] Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit, Mei, Gang, Xu, Liangliang, Xu, Nengxiong, Royal Society Open Science, ISSN 2054-5703, Issue 9, Volume 4, 2017.
Digital Object Identifier: 10.1098/rsos.170436
[CrossRef]

[3] Simulation of an inelastic dispersive phenomenon: stimulated Brillouin scattering in a single-mode fiber segment through parallelism, Sanchez-Lara, R., Trejo-Sanchez, J. A., Lopez-Martinez, J. L., Alvarez-Chavez, J. A., The Journal of Supercomputing, ISSN 0920-8542, 2018.
Digital Object Identifier: 10.1007/s11227-018-2379-5
[CrossRef]

[4] A General-Purpose Graphics Processing Unit (GPGPU)-Accelerated Robotic Controller Using a Low Power Mobile Platform, Rizvi, Syed, Cabodi, Gianpiero, Patti, Denis, Gulzar, Muhammad, Journal of Low Power Electronics and Applications, ISSN 2079-9268, Issue 2, Volume 7, 2017.
Digital Object Identifier: 10.3390/jlpea7020010
[CrossRef]

Updated today

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Copyright ©2001-2018
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.

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