Coupling profile and historical methods to predict execution time of parallel applications - LAAS-Réseaux et Communications Accéder directement au contenu
Article Dans Une Revue Parallel and Cloud Computing Année : 2013

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
Fichier principal
Vignette du fichier
R12_PARALLEL_CLOUD_COMPUTING.pdf (1.97 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01228236 , version 1 (12-11-2015)

Identifiants

  • HAL Id : hal-01228236 , version 1

Citer

Thierry Monteil. Coupling profile and historical methods to predict execution time of parallel applications . Parallel and Cloud Computing, 2013, 2 (3), pp.81-89. ⟨hal-01228236⟩
185 Consultations
196 Téléchargements

Partager

Gmail Facebook X LinkedIn More