Parallel software auto-tuning using statistical modeling and machine learning
Auto-tuning for complex and nontrivial parallel systems is usually time-consuming because of empirical evaluation of huge amount of combinations of parameter values of an initial parallel program in a target execution environment. This paper proposes the improvement of the auto-tuning method using s...
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| Date: | 2018 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2018
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/264 |
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| Journal Title: | Problems in programming |
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