|4/2013 - 11|
Vector Functionally-Oriented Processors with Vertical Parallelism for Operations on QuaternionsKLYATCHENKO, Y. , TARASENKO, V. , BOYARINOVA, J. , KALYNOVSKIY, Y.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (795 KB) | Citation | Downloads: 248 | Views: 1,669|
hypercomplex numbers, quaternions multiplication, functionally-oriented processors, SIMD architecture, application of quaternions
No common words between the references section and the paper title.
About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 65 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04011
Web of Science Accession Number: 000331461300011
SCOPUS ID: 84890178281
The paper deals with approaches for creation and algorithmically-structural features of the hardware for direct hardware implementation of operations on hypercomplex numbers (for example, quaternions). There are described basic list of operations on quaternions and features of hardware implementation of these operations by processing elements that belong to the class of functionally-oriented processors.
Web of Science® Times Cited: 0
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 0
View record in SCOPUS® [Free preview]
There are no citing papers in the CrossRef Cited-by Linking system.
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.
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.