Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2018
Next issue: Aug 2018
Avg review time: 105 days


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

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


1,965,665 unique visits
Since November 1, 2009

No robots online now


SCImago Journal & Country Rank

SEARCH ENGINES - Google Pagerank


Anycast DNS Hosting

 Volume 18 (2018)
     »   Issue 2 / 2018
     »   Issue 1 / 2018
 Volume 17 (2017)
     »   Issue 4 / 2017
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
 Volume 16 (2016)
     »   Issue 4 / 2016
     »   Issue 3 / 2016
     »   Issue 2 / 2016
     »   Issue 1 / 2016
 Volume 15 (2015)
     »   Issue 4 / 2015
     »   Issue 3 / 2015
     »   Issue 2 / 2015
     »   Issue 1 / 2015
  View all issues  


Expansible Network-on-Chip Architecture, PIRES, I. L. P., ALVES, M. A. Z., ALBINI, L. C. P.
Issue 2/2018


The Effect of Images on Surface Potential and Resistance Calculation of Grounding Systems, MARTINS, A., MARIANO, S., CALADO, M.
Issue 2/2015


Software Solution for a Renewable Energy Microgrid Emulator, LAZAR, E., PETREUS, D., ETZ, R., PATARAU, T.
Issue 1/2018


Analysis of RLC Elements under Stochastic Conditions Using the First and the Second Moments, WALCZAK, J., MAZURKIEWICZ, S., GRABOWSKI, D.
Issue 4/2015


Enhancing Trusted Cloud Computing Platform for Infrastructure as a Service, KIM, H.
Issue 1/2017


Testing of a Hybrid FES-Robot Assisted Hand Motor Training Program in Sub-Acute Stroke Survivors, GRIGORAS, A. V., IRIMIA, D. C., POBORONIUC, M. S., POPESCU, C. D.
Issue 4/2016



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.

We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

Read More »


  4/2014 - 17
View TOC | « Previous Article | Next Article »

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

Quick view
Full text preview
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]
View record in Web of Science® [View]
View Related Records® [View]

Updated today

Cited-By CrossRef

SCOPUS® Times Cited: 4
View record in SCOPUS®
[Free preview]

Updated today

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

[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

[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

Updated today

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 Clarivate Analytics, 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.

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.

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.

Website loading speed and performance optimization powered by: