Parallel Architectures and Bioinspired Algorithms
This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towa
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415
Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, and Juan Lanchares (Eds.)
Parallel Architectures and Bioinspired Algorithms
ABC
Editors Francisco Fernández de Vega Centro Universitario de Mérida Universidad de Extremadura Mérida Spain
Juan Lanchares Facultad de Informática Universidad Complutense de Madrid Calle del Profesor José García Madrid Spain
José Ignacio Hidalgo Pérez Facultad de Informática Universidad Complutense de Madrid Calle del Profesor José García Madrid Spain
ISSN 1860-949X e-ISSN 1860-9503 ISBN 978-3-642-28788-6 e-ISBN 978-3-642-28789-3 DOI 10.1007/978-3-642-28789-3 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012933085 c Springer-Verlag Berlin Heidelberg 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. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Contents
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Francisco Fern´andez de Vega, J. Ignacio Hidalgo, Juan Lanchares
1
Creating and Debugging Performance CUDA C . . . . . . . . . . . . . . . . . . . . . W.B. Langdon
7
Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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