Parallelism and Scalability in an Image Processing Application
The recent trends in processor architecture show that parallel processing is moving into new areas of computing in the form of many-core desktop processors and multi-processor system-on-chip. This means that parallel processing is required in application
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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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Rudolf Eigenmann Bronis R. de Supinski (Eds.)
OpenMP in a New Era of Parallelism 4th International Workshop, IWOMP 2008 West Lafayette, IN, USA, May 12-14, 2008 Proceedings
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Volume Editors Rudolf Eigenmann Purdue University School of Electrical and Computer Engineering Electrical Engineering Building 465 Northwestern Ave. West Lafayette, IN 47907-2035, USA E-mail: [email protected] Bronis R. de Supinski Computation Directorate Lawrence Livermore National Laboratory Livermore, CA 94551, USA E-mail: [email protected]
Library of Congress Control Number: 2008925752 CR Subject Classification (1998): D.1.3, D.1, D.2, F.2, G.1-4, J.2, I.6 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-540-79560-X Springer Berlin Heidelberg New York 978-3-540-79560-5 Springer Berlin Heidelberg New York
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Preface
OpenMP is a widely accepted, standard application programming interface (API) for high-level shared-memory parallel programming in Fortran, C, and C++. Since its introduction in 1997, OpenMP has gained support from most high-performance compiler and hardware vendors. Under the direction of the OpenMP Architecture Review Board (ARB), the OpenMP specification has evolved, including the recent release of Specification 3.0. Active research in OpenMP compilers, runtime systems, t
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