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JCR Impact Factor: 0.800
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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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Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  4/2011 - 16

Accelerating Solution Proposal of AES Using a Graphic Processor

TOMOIAGA, R. D. See more information about TOMOIAGA, R. D. on SCOPUS See more information about TOMOIAGA, R. D. on IEEExplore See more information about TOMOIAGA, R. D. on Web of Science, STRATULAT, M. See more information about STRATULAT, M. on SCOPUS See more information about STRATULAT, M. on SCOPUS See more information about STRATULAT, M. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in 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 (542 KB) | Citation | Downloads: 1,850 | Views: 4,566

Author keywords
AES, benchmark, cryptography, CUDA, GPU

References keywords
encryption(7), link(6), implementation(6), hardware(6), systems(5), security(5), cuda(5), wseas(4), tomoiaga(4), processing(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 99 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04016
Web of Science Accession Number: 000297764500016
SCOPUS ID: 84856612043

Abstract
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The main goal of this work is to analyze the possibility of using a graphic processing unit in non graphical calculations. Graphic Processing Units are being used nowadays not only for game engines and movie encoding/decoding, but also for a vast area of applications, like Cryptography. We used the graphic processing unit as a cryptographic coprocessor in order accelerate AES algorithm. Our implementation of AES is on a GPU using CUDA architecture. The performances obtained show that the CUDA implementation can offer speedups of 11.95Gbps. The tests are conducted in two directions: running the tests on small data sizes that are located in memory and large data that are stored in files on hard drives.


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Cited-By CrossRef

[1] Implementation and Optimization of AES Algorithm on the Sunway TaihuLight, Chen, Yuedan, Li, Kenli, Fei, Xiongwei, Quan, Zhe, Li, Keqin, 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), ISBN 978-1-5090-5081-9, 2016.
Digital Object Identifier: 10.1109/PDCAT.2016.062
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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