Scalable Parallel Programming Applied to H.264/AVC Decoding

Existing software applications should be redesigned if programmers want to benefit from the performance offered by multi- and many-core architectures. Performance scalability now depends on the possibility of finding and exploiting enough Thread-Level Par

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Ben Juurlink · Mauricio Alvarez-Mesa Chi Ching Chi · Arnaldo Azevedo Cor Meenderinck · Alex Ramirez

Scalable Parallel Programming Applied to H.264/AVC Decoding 123

SpringerBriefs in Computer Science

Series Editors Stan Zdonik Peng Ning Shashi Shekhar Jonathan Katz Xindong Wu Lakhmi C Jain David Padua Xuemin Shen Borko Furht VS Subrahmanian Martial Hebert Katsuchi Ikeuchi Bruno Siciliano

For further volumes: http://www.springer.com/series/10028

Ben Juurlink • Mauricio Alvarez-Mesa Chi Ching Chi • Arnaldo Azevedo Cor Meenderinck • Alex Ramirez

Scalable Parallel Programming Applied to H.264/AVC Decoding

Ben Juurlink Technische Universität Berlin Berlin, Germany [email protected]

Mauricio Alvarez-Mesa Technische Universität Berlin Fraunhofer HHI. Berlin, Germany [email protected]

Chi Ching Chi Technische Universität Berlin Berlin, Germany

Arnaldo Azevedo Delft University of Technology Delft, The Netherlands

Cor Meenderinck IntelliMagic. Leiden The Netherlands

Alex Ramirez Universitat Politècnica de Catalunya Barcelona Supercomputing Center Barcelona, Spain

ISSN 2191-5768 ISSN 2191-5776 (electronic) ISBN 978-1-4614-2229-7 ISBN 978-1-4614-2230-3 (eBook) DOI 10.1007/978-1-4614-2230-3 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2012938716 © The Author(s) 2012 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Pr