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OpenMP: Memory, Devices, and Tasks

Overview of attention for book
Cover of 'OpenMP: Memory, Devices, and Tasks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Estimation of Round-off Errors in OpenMP Codes
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    Chapter 2 OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms
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    Chapter 3 Evaluating OpenMP Affinity on the POWER8 Architecture
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    Chapter 4 Workstealing and Nested Parallelism in SMP Systems
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    Chapter 5 Description, Implementation and Evaluation of an Affinity Clause for Task Directives
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    Chapter 6 NUMA-Aware Task Performance Analysis
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    Chapter 7 OpenMP Extension for Explicit Task Allocation on NUMA Architecture
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    Chapter 8 Approaches for Task Affinity in OpenMP
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    Chapter 9 Towards Unifying OpenMP Under the Task-Parallel Paradigm
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    Chapter 10 A Case for Extending Task Dependencies
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    Chapter 11 OpenMP as a High-Level Specification Language for Parallelism
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    Chapter 12 OpenMP: Memory, Devices, and Tasks
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    Chapter 13 Reducing the Functionality Gap Between Auto-Vectorization and Explicit Vectorization
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    Chapter 14 A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge
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    Chapter 15 Testing Infrastructure for OpenMP Debugging Interface Implementations
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    Chapter 16 The Secrets of the Accelerators Unveiled: Tracing Heterogeneous Executions Through OMPT
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    Chapter 17 OpenMP: Memory, Devices, and Tasks
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    Chapter 18 Pragmatic Performance Portability with OpenMP 4.x
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    Chapter 19 Multiple Target Task Sharing Support for the OpenMP Accelerator Model
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    Chapter 20 Early Experiences Porting Three Applications to OpenMP 4.5
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    Chapter 21 Design and Preliminary Evaluation of Omni OpenACC Compiler for Massive MIMD Processor PEZY-SC
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    Chapter 22 Evaluating OpenMP Implementations for Java Using PolyBench
  24. Altmetric Badge
    Chapter 23 Transactional Memory for Algebraic Multigrid Smoothers
  25. Altmetric Badge
    Chapter 24 Supporting Adaptive Privatization Techniques for Irregular Array Reductions in Task-Parallel Programming Models
Attention for Chapter 17: OpenMP: Memory, Devices, and Tasks
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

1 news outlet

Readers on

3 Mendeley
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Chapter title
OpenMP: Memory, Devices, and Tasks
Chapter number 17
Book title
OpenMP: Memory, Devices, and Tasks
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-45550-1_17
Book ISBNs
978-3-31-945549-5, 978-3-31-945550-1

Andi Drebes, Jean-Baptiste Bréjon, Antoniu Pop, Karine Heydemann, Albert Cohen, Drebes, Andi, Bréjon, Jean-Baptiste, Pop, Antoniu, Heydemann, Karine, Cohen, Albert

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 2 67%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 January 2017.
All research outputs
of 8,854,945 outputs
Outputs from Lecture notes in computer science
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Outputs of similar age
of 301,903 outputs
Outputs of similar age from Lecture notes in computer science
of 132 outputs
Altmetric has tracked 8,854,945 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,789 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 301,903 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 132 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 72% of its contemporaries.