Power Modeling - Archive ouverte HAL
Chapitre D'ouvrage Année : 2015

Power Modeling

Résumé

5 POWER MODELING 5.1 Introduction 5.2 Measuring Power 5.2.1 External Power Meters 5.2.2 Internal Power Meters 5.3 Performance Indicators 5.3.1 Source Instrumentation 5.3.2 Binary Instrumentation 5.3.3 Performance Monitoring Counters 5.3.4 Operating System Events 5.3.5 Virtual Machine Performance 5.4 Interaction between Power and Performance 5.4.1 Central Processing Unit (CPU) 5.4.2 Memory 5.4.3 Input/Output (I/O) 5.4.4 Network 5.4.5 Idle States 5.5 Power Modeling Procedure 5.5.1 Variable Selection 5.5.2 Training Data Collection 5.5.3 Learning from Data 5.5.4 Event Correlation 5.5.5 Model Evaluation Concepts 5.5.6 Power Estimation Errors 5.5.7 Related Work 5.6 Use-Cases 5.6.1 Applications 5.6.2 Single-Core Systems 5.6.3 Multi-core and Multiprocessor 5.6.4 Distributed Systems 5.7 Available Software 5.8 Conclusion - References
Fichier non déposé

Dates et versions

hal-03190201 , version 1 (06-04-2021)

Identifiants

  • HAL Id : hal-03190201 , version 1

Citer

Jason Mair, Zhiyi Huang, David Eyers, Leandro Fontoura Cupertino, Georges da Costa, et al.. Power Modeling. Pierson, Jean-Marc. Large-Scale Distributed Systems and Energy Efficiency: A holistic view, John Wiley and Sons, pp.131--158, 2015, Chapître 5, 978-1-118-86463-0. ⟨hal-03190201⟩
41 Consultations
0 Téléchargements

Partager

More