Predicting number of threads using balanced datasets for openMP regions
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00607-022-01081-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8270 |
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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 |