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Using and Improving OpenMP for Devices, Tasks, and More

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Cover of 'Using and Improving OpenMP for Devices, Tasks, and More'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Task-Parallel Reductions in OpenMP and OmpSs
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    Chapter 2 Evaluation of OpenMP Dependent Tasks with the KASTORS Benchmark Suite
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    Chapter 3 MetaFork: A Framework for Concurrency Platforms Targeting Multicores
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    Chapter 4 TurboBŁYSK: Scheduling for Improved Data-Driven Task Performance with Fast Dependency Resolution
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    Chapter 5 Classification of Common Errors in OpenMP Applications
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    Chapter 6 Static Validation of Barriers and Worksharing Constructs in OpenMP Applications
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    Chapter 7 Loop-Carried Dependence Verification in OpenMP
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    Chapter 8 An OpenMP Extension Library for Memory Affinity
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    Chapter 9 On the Algorithmic Aspects of Using OpenMP Synchronization Mechanisms: The Effects of Transactional Memory
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    Chapter 10 Towards Transactional Memory for OpenMP
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    Chapter 11 Integrated Measurement for Cross-Platform OpenMP Performance Analysis
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    Chapter 12 A Comparison between OPARI2 and the OpenMP Tools Interface in the Context of Score-P
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    Chapter 13 A User-Guided Locking API for the OpenMP* Application Program Interface
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    Chapter 14 Library Support for Resource Constrained Accelerators
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    Chapter 15 Implementation and Optimization of the OpenMP Accelerator Model for the TI Keystone II Architecture
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    Chapter 16 On the Roles of the Programmer, the Compiler and the Runtime System When Programming Accelerators in OpenMP
Attention for Chapter 15: Implementation and Optimization of the OpenMP Accelerator Model for the TI Keystone II Architecture
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Chapter title
Implementation and Optimization of the OpenMP Accelerator Model for the TI Keystone II Architecture
Chapter number 15
Book title
Using and Improving OpenMP for Devices, Tasks, and More
Published in
Lecture notes in computer science, September 2014
DOI 10.1007/978-3-319-11454-5_15
Book ISBNs
978-3-31-911453-8, 978-3-31-911454-5
Authors

Gaurav Mitra, Eric Stotzer, Ajay Jayaraj, Alistair P. Rendell

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from Lecture notes in computer science
#6,980
of 8,123 outputs
Outputs of similar age
#211,115
of 252,573 outputs
Outputs of similar age from Lecture notes in computer science
#252
of 273 outputs
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So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.