Exploring the DataFlow Supercomputing Paradigm Example Algorithms fo
This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics sim
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Veljko Milutinovic Milos Kotlar Editors
Exploring the DataFlow Supercomputing Paradigm Example Algorithms for Selected Applications
Computer Communications and Networks Series Editors Jacek Rak, Department of Computer Communications, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland A.J. Sammes, Cyber Security Centre, Faculty of Technology, De Montfort University, Leicester, UK Editorial Board Members Burak Kantarci , School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada Eiji Oki, Graduate School of Informatics, Kyoto University, Kyoto, Japan Adrian Popescu, Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden Gangxiang Shen, School of Electronic and Information Engineering, Soochow University, Suzhou, China
The Computer Communications and Networks series is a range of textbooks, monographs and handbooks. It sets out to provide students, researchers, and non-specialists alike with a sure grounding in current knowledge, together with comprehensible access to the latest developments in computer communications and networking. Emphasis is placed on clear and explanatory styles that support a tutorial approach, so that even the most complex of topics is presented in a lucid and intelligible manner.
More information about this series at http://www.springer.com/series/4198
Veljko Milutinovic Milos Kotlar •
Editors
Exploring the DataFlow Supercomputing Paradigm Example Algorithms for Selected Applications
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Editors Veljko Milutinovic Indiana University Bloomington, IN, USA
Milos Kotlar School of Electrical Engineering University of Belgrade Belgrade, Serbia
ISSN 1617-7975 ISSN 2197-8433 (electronic) Computer Communications and Networks ISBN 978-3-030-13802-8 ISBN 978-3-030-13803-5 (eBook) https://doi.org/10.1007/978-3-030-13803-5 Library of Congress Control Number: 2019931864 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors
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