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OpenMP in a Modern World: From Multi-device Support to Meta Programming

Overview of attention for book
Cover of 'OpenMP in a Modern World: From Multi-device Support to Meta Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Enhancing MPI+OpenMP Task Based Applications for Heterogeneous Architectures with GPU Support
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    Chapter 2 Towards Efficient Remote OpenMP Offloading
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    Chapter 3 Characterizing the Performance of Task Reductions in OpenMP 5.X Implementations
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    Chapter 4 Using Off-the-Shelf Hardware Transactional Memory to Implement Speculative While in OpenMP
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    Chapter 5 Towards Automatic OpenMP-Aware Utilization of Fast GPU Memory
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    Chapter 6 Feasibility Studies in Multi-GPU Target Offloading
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    Chapter 7 Reducing OpenMP to FPGA Round-Trip Times with Predictive Modelling
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    Chapter 8 Improving Tool Support for Nested Parallel Regions with Introspection Consistency
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    Chapter 9 On the Migration of OpenACC-Based Applications into OpenMP 5+
  11. Altmetric Badge
    Chapter 10 Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading
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    Chapter 11 Extending OpenMP to Support Automated Function Specialization Across Translation Units
Attention for Chapter 4: Using Off-the-Shelf Hardware Transactional Memory to Implement Speculative While in OpenMP
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Chapter title
Using Off-the-Shelf Hardware Transactional Memory to Implement Speculative While in OpenMP
Chapter number 4
Book title
OpenMP in a Modern World: From Multi-device Support to Meta Programming
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-15922-0_4
Book ISBNs
978-3-03-115921-3, 978-3-03-115922-0
Authors

Salamanca, Juan, Baldassin, Alexandro

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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