Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8766)
Part of the book sub series: Programming and Software Engineering (LNPSE)
Conference series link(s): IWOMP: International Workshop on OpenMP
Conference proceedings info: IWOMP 2014.
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Table of contents (16 papers)
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Front Matter
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Tasking Models and Their Optimization
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Understanding and Verifying Correctness of OpenMP Programs
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Experiences with OpenMP Device Constructs
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Back Matter
About this book
Keywords
- GPU
- OpenMP
- accelerators
- computing methodologies
- concurrency
- data parallelism
- dependences
- distributed systems
- graphics processing unit
- hardware
- high-performance computing
- multi-core processors
- multicore
- multiprocessing
- parallel computing
- parallel programming languages
- process management
- scheduling
- shared memory algorithms
- task parallelism
Editors and Affiliations
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Cray Inc., St. Paul, USA
Luiz DeRose
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Lawrence Livermore National Laboratory, Livermore, USA
Bronis R. Supinski
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Sandia National Laboratories, Albuquerque, USA
Stephen L. Olivier
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University of Houston, Houston, USA
Barbara M. Chapman
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RWTH Aachen, Aachen, Germany
Matthias S. Müller
Bibliographic Information
Book Title: Using and Improving OpenMP for Devices, Tasks, and More
Book Subtitle: 10th International Workshop on OpenMP, IWOMP 2014, Salvador, Brazil, September 28-30, 2014. Proceedings
Editors: Luiz DeRose, Bronis R. Supinski, Stephen L. Olivier, Barbara M. Chapman, Matthias S. Müller
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-11454-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2014
Softcover ISBN: 978-3-319-11453-8Published: 23 September 2014
eBook ISBN: 978-3-319-11454-5Published: 23 September 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 231
Number of Illustrations: 108 b/w illustrations
Topics: Processor Architectures, Programming Languages, Compilers, Interpreters, System Performance and Evaluation, Computer Hardware, Algorithm Analysis and Problem Complexity