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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Claim

Learning-based OpenMP Performance Tuning Using Balanced Datasets

Research datakeyboard_double_arrow_right Dataset 29 May 2020 English Publisher:Zenodo
Authors: Jordi Alcaraz Rodriguez; Akash Dutta; Ali TehraniJamsaz; Anna Sikora; Ali Jannesari; Joan Sorribes Gomis; Eduardo Cesar Galobardes;

doi: 10.5281/zenodo.3865285 , 10.5281/zenodo.4724960

Learning-based OpenMP Performance Tuning Using Balanced Datasets

Abstract

Dataset, and files related to its creation, uploaded to https://github.com/HPCA4SE-UAB/Building-a-dataset-for-classifying-OpenMP-parallelpatterns-via-Machine-Learning published at PDP with the title Building representative and balanced datasets of OpenMP parallel regions link: https://ieeexplore.ieee.org/document/9407037 New Dataset (ideal.7z) with new problem sizes and used to tune number of threads.

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Keywords

hardware performance counters, machine learning, artificial neural networks, parallel applications, OpenMP, performance tuning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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