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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 58 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

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

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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.

2023-Jun-05
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.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
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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  4/2015 - 2

Hardware Accelerators for Data Sort in All Programmable Systems-on-Chip

SKLYAROV, V. See more information about SKLYAROV, V. on SCOPUS See more information about SKLYAROV, V. on IEEExplore See more information about SKLYAROV, V. on Web of Science, SKLIAROVA, I. See more information about SKLIAROVA, I. on SCOPUS See more information about SKLIAROVA, I. on SCOPUS See more information about SKLIAROVA, I. on Web of Science
 
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Download PDF pdficon (1,276 KB) | Citation | Downloads: 1,164 | Views: 3,071

Author keywords
FPGA, system-on-chip, sorting, parallel processing, performance and resources evaluation

References keywords
sorting(13), link(9), systems(8), programmable(7), zynq(6), networks(6), xilinx(5), sklyarov(5), skliarova(5), high(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 9 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04002
Web of Science Accession Number: 000368499800002
SCOPUS ID: 84949995957

Abstract
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The paper analyzes and evaluates architectures of the most efficient hardware accelerators for data sort in FPGA and all programmable systems-on-chip (such as devices from the Xilinx Zynq-7000 family). The following novel methods are proposed and discussed: 1) data sorting in hardware that is executed concurrently with getting inputs through single or multiple ports; 2) a technique allowing rational compromise between the cost and the latency of the circuit to be achieved. Both methods are targeted to hardware/software co-design and permit the best solution to be found for different requirements within pre-defined constraints. The results of experiments, implementations, and rigorous comparisons demonstrate high efficiency and broad applicability of the proposed methods for wide range of practical applications.


References | Cited By

Cited-By Clarivate Web of Science

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

SCOPUS® Times Cited: 3
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Cited-By CrossRef

[1] INFLUENCE OF WHITE LUPINE ON THE PRODUCTIVITY OF RAINBOW TROUT, Gaponov, N. V., Shlyapnikov, S. M., Chuguyev, Yu. P., Innovations and Food Safety, ISSN 2311-0651, Volume , 2023.
Digital Object Identifier: 10.31677/2311-0651-2023-39-1-71-81
[CrossRef]

[2] Digital design: Best practices and future trends, Sklyarov, V., Skliarova, I., 2016 15th Biennial Baltic Electronics Conference (BEC), ISBN 978-1-5090-1393-7, 2016.
Digital Object Identifier: 10.1109/BEC.2016.7743718
[CrossRef]

Updated 3 days, 7 hours ago

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


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