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Accelerator Programming Using Directives

Overview of attention for book
Cover of 'Accelerator Programming Using Directives'

Table of Contents

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    Book Overview
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    Chapter 1 An Example of Porting PETSc Applications to Heterogeneous Platforms with OpenACC
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    Chapter 2 Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model
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    Chapter 3 Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation Using OpenACC
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    Chapter 4 The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer
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    Chapter 5 Enabling GPU Support for the COMPSs-Mobile Framework
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    Chapter 6 Concurrent Parallel Processing on Graphics and Multicore Processors with OpenACC and OpenMP
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    Chapter 7 Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs
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    Chapter 8 Automatic Testing of OpenACC Applications
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    Chapter 9 Evaluation of Asynchronous Offloading Capabilities of Accelerator Programming Models for Multiple Devices
Attention for Chapter 4: The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer
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Citations

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Chapter title
The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer
Chapter number 4
Book title
Accelerator Programming Using Directives
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-74896-2_4
Book ISBNs
978-3-31-974895-5, 978-3-31-974896-2
Authors

William Killian, Tom Scogland, Adam Kunen, John Cavazos, Killian, William, Scogland, Tom, Kunen, Adam, Cavazos, John

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%

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