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Evolving OpenMP in an Age of Extreme Parallelism

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Cover of 'Evolving OpenMP in an Age of Extreme Parallelism'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Simulation of Bevel Gear Cutting Processes with OpenMP Tasks
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    Chapter 2 Evaluation of Multicore Processors for Embedded Systems by Parallel Benchmark Program Using OpenMP
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    Chapter 3 Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore
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    Chapter 4 Evolving OpenMP in an Age of Extreme Parallelism
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    Chapter 5 Use of Cluster OpenMP with the Gaussian Quantum Chemistry Code: A Preliminary Performance Analysis
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    Chapter 6 Evaluating OpenMP 3.0 Run Time Systems on Unbalanced Task Graphs
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    Chapter 7 Dynamic Task and Data Placement over NUMA Architectures: An OpenMP Runtime Perspective
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    Chapter 8 Scalability of Gaussian 03 on SGI Altix: The Importance of Data Locality on CC-NUMA Architecture
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    Chapter 9 Providing Observability for OpenMP 3.0 Applications
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    Chapter 10 A Microbenchmark Suite for Mixed-Mode OpenMP/MPI
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    Chapter 11 Performance Profiling for OpenMP Tasks
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    Chapter 12 Tile Reduction: The First Step towards Tile Aware Parallelization in OpenMP
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    Chapter 13 A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures
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    Chapter 14 Identifying Inter-task Communication in Shared Memory Programming Models
Attention for Chapter 9: Providing Observability for OpenMP 3.0 Applications
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Chapter title
Providing Observability for OpenMP 3.0 Applications
Chapter number 9
Book title
Evolving OpenMP in an Age of Extreme Parallelism
Published by
Springer Berlin Heidelberg, January 2009
DOI 10.1007/978-3-642-02303-3_9
Book ISBNs
978-3-64-202284-5, 978-3-64-202303-3
Authors

Yuan Lin, Oleg Mazurov

Editors

Matthias S. Müller, Bronis R. de Supinski, Barbara M. Chapman

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

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