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Predicting number of threads using balanced datasets for openMP regions

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Bibliographic Details
Main Authors: Jordi, Alcaraz, Ali, TehraniJamsaz, Akash, Dutta
Format: Book
Language:English
Published: Springer 2023
Subjects:
HPC applications
OpenMP code-region
Online Access:https://link.springer.com/article/10.1007/s00607-022-01081-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8270
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spelling oai:localhost:PNK-82702023-04-25T03:31:44Z Predicting number of threads using balanced datasets for openMP regions Jordi, Alcaraz Ali, TehraniJamsaz Akash, Dutta HPC applications OpenMP code-region CC BY Incorporating machine learning into automatic performance analysis and tuning tools is a promising path to tackle the increasing heterogeneity of current HPC applications. However, this introduces the need for generating balanced datasets of parallel applications’ executions and for dealing with natural imbalances for optimizing performance parameters. This work proposes a holistic approach that integrates a methodology for building balanced datasets of OpenMP code-region patterns and a way to use such datasets for tuning performance parameters. The methodology uses hardware performance counters to characterize the execution of a given region and correlation analysis to determine whether it covers an unique part of the pattern input space. 2023-04-25T03:31:44Z 2023-04-25T03:31:44Z 2022 Book https://link.springer.com/article/10.1007/s00607-022-01081-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8270 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic HPC applications
OpenMP code-region
spellingShingle HPC applications
OpenMP code-region
Jordi, Alcaraz
Ali, TehraniJamsaz
Akash, Dutta
Predicting number of threads using balanced datasets for openMP regions
description CC BY
format Book
author Jordi, Alcaraz
Ali, TehraniJamsaz
Akash, Dutta
author_facet Jordi, Alcaraz
Ali, TehraniJamsaz
Akash, Dutta
author_sort Jordi, Alcaraz
title Predicting number of threads using balanced datasets for openMP regions
title_short Predicting number of threads using balanced datasets for openMP regions
title_full Predicting number of threads using balanced datasets for openMP regions
title_fullStr Predicting number of threads using balanced datasets for openMP regions
title_full_unstemmed Predicting number of threads using balanced datasets for openMP regions
title_sort predicting number of threads using balanced datasets for openmp regions
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00607-022-01081-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8270
_version_ 1764177436652601344
score 8.891145

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