Predictive Power Management for Multi-Core Processors

Abstract : Predictive power management provides reduced power consumption and increased performance compared to reactive schemes. It effectively reduces the lag between workload phase changes and changes in power adaptations since adaptations can be applied immediately before a program phase change. To this end we present the first analysis of prediction for power management under SYSMark2007. Compared to traditional scientific/computing benchmarks, this workload demonstrates more complex core active and idle behavior. We analyze a table based predictor on a quad-core processor. We present an accurate run-time power model that accounts for fine-grain temperature and voltage variation. By predictively borrowing power from cores, our approach provides an average speedup of 7.3% in SYSMark2007.
Type de document :
Communication dans un congrès
John Carter and Karthick Rajamani. WEED 2010 - Workshop on Energy-Efficient Design, Jun 2010, Saint Malo, France. 2010
Liste complète des métadonnées

https://hal.inria.fr/inria-00492839
Contributeur : Ist Rennes <>
Soumis le : jeudi 17 juin 2010 - 11:25:16
Dernière modification le : lundi 20 juin 2016 - 14:10:32
Document(s) archivé(s) le : lundi 20 septembre 2010 - 17:15:34

Fichier

WEED-bircher.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00492839, version 1

Collections

Citation

William Lloyd Bircher, Lizy John. Predictive Power Management for Multi-Core Processors. John Carter and Karthick Rajamani. WEED 2010 - Workshop on Energy-Efficient Design, Jun 2010, Saint Malo, France. 2010. 〈inria-00492839〉

Partager

Métriques

Consultations de la notice

118

Téléchargements de fichiers

545