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Evolving OpenMP for Evolving Architectures

Overview of attention for book
Cover of 'Evolving OpenMP for Evolving Architectures'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Impact of Taskyield on the Design of Tasks Communicating Through MPI
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    Chapter 2 OpenMP Loop Scheduling Revisited: Making a Case for More Schedules
  4. Altmetric Badge
    Chapter 3 A Proposal for Loop-Transformation Pragmas
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    Chapter 4 Extending OpenMP to Facilitate Loop Optimization
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    Chapter 5 Manage OpenMP GPU Data Environment Under Unified Address Space
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    Chapter 6 OpenMP 4.5 Validation and Verification Suite for Device Offload
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    Chapter 7 Trade-Off of Offloading to FPGA in OpenMP Task-Based Programming
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    Chapter 8 Compiler Optimizations for OpenMP
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    Chapter 9 Supporting Function Variants in OpenMP
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    Chapter 10 Towards an OpenMP Specification for Critical Real-Time Systems
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    Chapter 11 Performance Tuning to Close Ninja Gap for Accelerator Physics Emulation System (APES) on Intel $$^{\textregistered }$$ Xeon Phi $$^{\mathrm{TM}}$$ Processors
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    Chapter 12 Visualization of OpenMP * Task Dependencies Using Intel ® Advisor – Flow Graph Analyzer
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    Chapter 13 A Semantics-Driven Approach to Improving DataRaceBench’s OpenMP Standard Coverage
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    Chapter 14 On the Impact of OpenMP Task Granularity
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    Chapter 15 Mapping OpenMP to a Distributed Tasking Runtime
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    Chapter 16 Assessing Task-to-Data Affinity in the LLVM OpenMP Runtime
Attention for Chapter 3: A Proposal for Loop-Transformation Pragmas
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3 X users

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9 Mendeley
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Chapter title
A Proposal for Loop-Transformation Pragmas
Chapter number 3
Book title
Evolving OpenMP for Evolving Architectures
Published in
arXiv, September 2018
DOI 10.1007/978-3-319-98521-3_3
Book ISBNs
978-3-31-998520-6, 978-3-31-998521-3
Authors

Michael Kruse, Hal Finkel, Kruse, Michael, Finkel, Hal

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Doctoral Student 2 22%
Researcher 2 22%
Student > Master 1 11%
Other 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 5 56%
Engineering 2 22%
Business, Management and Accounting 1 11%
Unknown 1 11%
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 12 June 2018.
All research outputs
#16,293,793
of 24,002,307 outputs
Outputs from arXiv
#406,013
of 1,011,770 outputs
Outputs of similar age
#218,956
of 344,931 outputs
Outputs of similar age from arXiv
#12,289
of 25,347 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 52% 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 344,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,347 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.