Coupling profile and historical methods to predict execution time of parallel applications
Résumé
This article describes some work in the domain of
application execution time prediction, which is always
necessary for schedulers. We define a hybrid method of time
prediction that is both profile-based and historic-based. This
prediction is achieved by combining a program structure
analysis with an instance-based learning method. We
demonstrate that taking account of an application's profile
improves predictions compared with classical historic-based
prediction methods
| Origine | Fichiers produits par l'(les) auteur(s) |
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