Autotuning of parallel programs using the IBM Watsons Analytics data analysis system
In this paper an analytical model of the method of automatic adjustment of parallel programs (auto-tuning) is presented. The software implementation of this model is based on the formal transformations of code and using expert data as a foundation of the optimization process and further analysis of...
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| Дата: | 2018 |
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| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Інститут програмних систем НАН України
2018
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| Теми: | |
| Онлайн доступ: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/237 |
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| Назва журналу: | Problems in programming |
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Репозитарії
Problems in programming| Резюме: | In this paper an analytical model of the method of automatic adjustment of parallel programs (auto-tuning) is presented. The software implementation of this model is based on the formal transformations of code and using expert data as a foundation of the optimization process and further analysis of the results with the IBM Watsons Analytics system. The results of a practical experiment confirming the effectiveness of the approach used in optimizing parallel programs are presented. The principles of the IBM Watsons Analytics data analysis system are examined and the system itself is shown in action.Problems in programming 2018; 1: 46-54 |
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