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OpenMP in the Era of Low Power Devices and Accelerators

Overview of attention for book
Cover of 'OpenMP in the Era of Low Power Devices and Accelerators'

Table of Contents

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    Book Overview
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    Chapter 1 A Proposal for Task-Generating Loops in OpenMP*
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    Chapter 2 Using OpenMP under Android
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    Chapter 3 Expressing DOACROSS Loop Dependences in OpenMP
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    Chapter 4 Manycore Parallelism through OpenMP
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    Chapter 5 Performance Characteristics of Large SMP Machines
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    Chapter 6 Evaluating OpenMP Tasking at Scale for the Computation of Graph Hyperbolicity
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    Chapter 7 Early Experiences with the OpenMP Accelerator Model
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    Chapter 8 An OpenMP* Barrier Using SIMD Instructions for Intel® Xeon PhiTM Coprocessor
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    Chapter 9 OpenMP on the Low-Power TI Keystone II ARM/DSP System-on-Chip
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    Chapter 10 A Prototype Implementation of OpenMP Task Dependency Support
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    Chapter 11 An Efficient OpenMP Loop Scheduler for Irregular Applications on Large-Scale NUMA Machines
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    Chapter 12 Locality-Aware Task Scheduling and Data Distribution on NUMA Systems
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    Chapter 13 OMPT: An OpenMP Tools Application Programming Interface for Performance Analysis
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    Chapter 14 Open Source Task Profiling by Extending the OpenMP Runtime API
Attention for Chapter 14: Open Source Task Profiling by Extending the OpenMP Runtime API
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Citations

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Readers on

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6 Mendeley
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Chapter title
Open Source Task Profiling by Extending the OpenMP Runtime API
Chapter number 14
Book title
OpenMP in the Era of Low Power Devices and Accelerators
Published by
Springer, Berlin, Heidelberg, September 2013
DOI 10.1007/978-3-642-40698-0_14
Book ISBNs
978-3-64-240697-3, 978-3-64-240698-0
Authors

Ahmad Qawasmeh, Abid Malik, Barbara Chapman, Kevin Huck, Allen Malony

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 6 100%

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