Learning-based OpenMP Performance Tuning Using Balanced Datasets
| Main Authors: | Jordi Alcaraz Rodriguez, Akash Dutta, Ali TehraniJamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes Gomis, Eduardo Cesar Galobardes |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4724960 |
Daftar Isi:
- 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.