Tools for High Performance Computing 2015 Proceedings of the 9th Int
High Performance Computing (HPC) remains a driver that offers huge potentials and benefits for science and society. However, a profound understanding of the computational matters and specialized software is needed to arrive at effective and efficient simu
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Tools for High Performance Computing 2015
Andreas Knüpfer Tobias Hilbrich Christoph Niethammer José Gracia Wolfgang E. Nagel Michael M. Resch •
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Editors
Tools for High Performance Computing 2015 Proceedings of the 9th International Workshop on Parallel Tools for High Performance Computing, September 2015, Dresden, Germany
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Editors Andreas Knüpfer Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) Technische Universität Dresden Dresden Germany Tobias Hilbrich Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) Technische Universität Dresden Dresden Germany Christoph Niethammer Höchstleistungszentrum Stuttgart (HLRS) Universität Stuttgart Stuttgart Germany
José Gracia Höchstleistungszentrum Stuttgart (HLRS) Universität Stuttgart Stuttgart Germany Wolfgang E. Nagel Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) Technische Universität Dresden Dresden Germany Michael M. Resch Höchstleistungszentrum Stuttgart (HLRS) Universität Stuttgart Stuttgart Germany
Cover front figure: OpenFOAM Large Eddy Simulations of dimethyl ether combustion with growing resolutions of 1.3 million elements, 10 million elements, and 100 million elements from left to right reveal how more computing power produces more realistic results. Courtesy of Sebastian Popp, Prof. Christian Hasse, TU Bergakademie Freiberg, Germany.
ISBN 978-3-319-39588-3 DOI 10.1007/978-3-319-39589-0
ISBN 978-3-319-39589-0
(eBook)
Library of Congress Control Number: 2016941316 Mathematics Subject Classification (2010): 68U20 © Springer International Publishing Switzerland 2016 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 or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
Highest-scale parallel computing remains a challenging task that offers huge potentials and benefits for science and society. At the same time, it requ
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