Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9903)
Part of the book sub series: Programming and Software Engineering (LNPSE)
Conference series link(s): IWOMP: International Workshop on OpenMP
Conference proceedings info: IWOMP 2016.
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Table of contents (24 papers)
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Front Matter
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Task Parallelism
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Front Matter
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Tools
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Front Matter
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About this book
The 24 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections named: applications, locality, task parallelism, extensions, tools, accelerator programming, and performance evaluations and optimization.
Keywords
- interoperability
- many-core architectures
- optimization
- parallel programming
- runtime systems
- accelerator programming
- algorithms
- array reduction
- compiler
- dependencies
- discrete stochastic arithmetic
- floating-point arithmetic
- GPU
- multi-core architectures
- numerical validation
- performance portability
- round-off error
- task parallelism
- unsupervised
- algorithm analysis and problem complexity
Editors and Affiliations
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RIKEN AICS , Kobe, Japan
Naoya Maruyama, Mohamed Wahib
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Lawrence Livermore National Laboratory , Livermore, USA
Bronis R. de Supinski
Bibliographic Information
Book Title: OpenMP: Memory, Devices, and Tasks
Book Subtitle: 12th International Workshop on OpenMP, IWOMP 2016, Nara, Japan, October 5-7, 2016, Proceedings
Editors: Naoya Maruyama, Bronis R. de Supinski, Mohamed Wahib
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-45550-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-45549-5Published: 21 September 2016
eBook ISBN: 978-3-319-45550-1Published: 28 September 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 352
Number of Illustrations: 169 b/w illustrations
Topics: Processor Architectures, Programming Languages, Compilers, Interpreters, System Performance and Evaluation, Computer Hardware, Algorithm Analysis and Problem Complexity, Software Engineering