Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9342)
Part of the book sub series: Programming and Software Engineering (LNPSE)
Conference series link(s): IWOMP: International Workshop on OpenMP
Conference proceedings info: IWOMP 2015.
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Table of contents (19 papers)
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Front Matter
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Accelerator Applications
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Front Matter
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Compiler and Runtime
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 11th International Workshop on OpenMP, held in Aachen, Germany, in October 2015.
The 19 technical full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on applications, accelerator applications, tools, extensions, compiler and runtime, and energy.
Editors and Affiliations
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RWTH Aachen University, Aachen, Germany
Christian Terboven, Pablo Reble, Matthias S. Müller
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Lawrence Livermore National Laboratory, Livermore, USA
Bronis R. de Supinski
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University of Houston, Houston, USA
Barbara M. Chapman
Bibliographic Information
Book Title: OpenMP: Heterogenous Execution and Data Movements
Book Subtitle: 11th International Workshop on OpenMP, IWOMP 2015, Aachen, Germany, October 1-2, 2015, Proceedings
Editors: Christian Terboven, Bronis R. de Supinski, Pablo Reble, Barbara M. Chapman, Matthias S. Müller
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-24595-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-24594-2Published: 20 October 2015
eBook ISBN: 978-3-319-24595-9Published: 30 September 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 274
Number of Illustrations: 146 illustrations in colour
Topics: Processor Architectures, Programming Languages, Compilers, Interpreters, System Performance and Evaluation, Computer Hardware, Algorithm Analysis and Problem Complexity, Software Engineering