Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 1.221
JCR 5-Year IF: 0.961
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Nov 2021
Next issue: Feb 2022
Avg review time: 87 days


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


TRAFFIC STATS

1,818,915 unique visits
640,725 downloads
Since November 1, 2009



Robots online now
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
 Volume 20 (2020)
 
     »   Issue 4 / 2020
 
     »   Issue 3 / 2020
 
     »   Issue 2 / 2020
 
     »   Issue 1 / 2020
 
 
 Volume 19 (2019)
 
     »   Issue 4 / 2019
 
     »   Issue 3 / 2019
 
     »   Issue 2 / 2019
 
     »   Issue 1 / 2019
 
 
 Volume 18 (2018)
 
     »   Issue 4 / 2018
 
     »   Issue 3 / 2018
 
     »   Issue 2 / 2018
 
     »   Issue 1 / 2018
 
 
  View all issues  








LATEST NEWS

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

2021-Apr-15
Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

Read More »


    
 

  2/2014 - 11

 HIGHLY CITED PAPER 

Hamming Weight Counters and Comparators based on Embedded DSP Blocks for Implementation in FPGA

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
 
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 (1,071 KB) | Citation | Downloads: 1,529 | Views: 1,497

Author keywords
hamming weight counter, hamming weight comparator, field-programmable gate array, digital signal processing slice, hardware accelerator, on-chip architecture

References keywords
link(10), hamming(6), circuits(6), systems(5), skliarova(5), sklyarov(4), parallel(4), fpga(4), digital(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 63 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02011
Web of Science Accession Number: 000340868100011
SCOPUS ID: 84901843912

Abstract
Quick view
Full text preview
This paper is dedicated to the design, implementation and evaluation of fast FPGA-based circuits that compute Hamming weights for binary vectors and compare the results with fixed thresholds and variable bounds. It is shown that digital signal processing (DSP) slices that are widely available in contemporary FPGAs may be used efficiently and they frequently provide the fastest and least resource consuming solutions. A thorough analysis and comparison of these with the best known alternatives both in hardware and in software is presented. The results are supported by numerous experiments in recent prototyping boards. A fully synthesizable hardware description language (VHDL) specification for one of the proposed core components is given that is ready to be synthesized, implemented, tested and compared in any FPGA that contains embedded DSP48E1 slices (or alternatively DSP48A1 slices from previous generations). Finally, the results of comparisons are provided that include discussions of designs in an ARM processor combined with reconfigurable logic for very long vectors.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 6 [View]
View record in Web of Science® [View]
View Related Records® [View]

Updated today


Cited-By SCOPUS

SCOPUS® Times Cited: 6
View record in SCOPUS®
[Free preview]
View citations in SCOPUS® [Free preview]

Updated today

Cited-By CrossRef

[1] In‐Memory Hamming Weight Calculation in a 1T1R Memristive Array, Cheng, Long, Li, Jiancong, Zheng, Hao‐Xuan, Yuan, Peng, Yin, Jiahao, Yang, Ling, Luo, Qing, Li, Yi, Lv, Hangbing, Chang, Ting‐Chang, Miao, Xiangshui, Advanced Electronic Materials, ISSN 2199-160X, Issue 9, Volume 6, 2020.
Digital Object Identifier: 10.1002/aelm.202000457
[CrossRef]

[2] Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs, Pilz, Sarah, Porrmann, Florian, Kaiser, Martin, Hagemeyer, Jens, Hogan, James M., Rückert, Ulrich, Algorithms, ISSN 1999-4893, Issue 2, Volume 13, 2020.
Digital Object Identifier: 10.3390/a13020047
[CrossRef]

[3] Accelerating Population Count with a Hardware Co-Processor for MicroBlaze, Skliarova, Iouliia, Journal of Low Power Electronics and Applications, ISSN 2079-9268, Issue 2, Volume 11, 2021.
Digital Object Identifier: 10.3390/jlpea11020020
[CrossRef]

[4] On-chip hardware accelerators for data processing and combinatorial search, Sklyarov, Valery, Skliarova, Iouliia, 2015 9th International Conference on Application of Information and Communication Technologies (AICT), ISBN 978-1-4673-6855-1, 2015.
Digital Object Identifier: 10.1109/ICAICT.2015.7338515
[CrossRef]

[5] Programmable systems-on-chip for information processing, Sklyarov, Valery, Skliarova, Iouliia, 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT), ISBN 978-1-4799-4119-3, 2014.
Digital Object Identifier: 10.1109/ICAICT.2014.7035967
[CrossRef]

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 ©2001-2022
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: