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Using and Improving OpenMP for Devices, Tasks, and More

Overview of attention for book
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
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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3 X users
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1 Facebook page

Readers on

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4 Mendeley
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Title
Using and Improving OpenMP for Devices, Tasks, and More
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-11454-5
ISBNs
978-3-31-911453-8, 978-3-31-911454-5
Editors

Luiz DeRose, Bronis R. de Supinski, Stephen L. Olivier, Barbara M. Chapman, Matthias S. Müller

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Nursing and Health Professions 1 25%
Engineering 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 February 2021.
All research outputs
#13,374,110
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#3,811
of 8,143 outputs
Outputs of similar age
#160,928
of 309,169 outputs
Outputs of similar age from Lecture notes in computer science
#128
of 280 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.