Evolving OpenMP in an Age of Extreme Parallelism 5th Internation

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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany

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Matthias S. Müller Bronis R. de Supinski Barbara M. Chapman (Eds.)

Evolving OpenMP in an Age of Extreme Parallelism 5th International Workshop on OpenMP, IWOMP 2009 Dresden, Germany, June 3-5, 2009 Proceedings

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Volume Editors Matthias S. Müller Technische Universität Dresden Zentrum für Informationsdienste und Hochleistungsrechnen 01062 Dresden, Germany E-mail: [email protected] Bronis R. de Supinski Lawrence Livermore National Laboratory Center for Applied Scientific Computing Livermore, CA 94551-0808, USA E-mail: [email protected] Barbara M. Chapman University of Houston Department of Computer Science Houston, TX 77204-3475, USA E-mail: [email protected]

Library of Congress Control Number: Applied for CR Subject Classification (1998): D.1, C.1, F.1, G.4, C.2.4, D.2.5, D.3.2, D.4.7 LNCS Sublibrary: SL 2 – Programming and Software Engineering ISSN ISBN-10 ISBN-13

0302-9743 3-642-02284-7 Springer Berlin Heidelberg New York 978-3-642-02284-5 Springer Berlin Heidelberg New York

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Preface

OpenMP is an application programming interface (API) that is widely accepted as a de facto standard for high-level shared-memory parallel programming. It is a portable, scalable programming model that provides a simple and flexible interface for developing shared-memory parallel applications in Fortran, C, and C++. Since its introduction in 1997, OpenMP has gained support from the m