Title
Energy efficiency in high-performance computing with and without knowledge of applications and services
Abstract
The constant demand of raw performance in high-performance computing (HPC) often leads to over-provisioning in high-performance systems which in turn can result in a colossal energy waste due to workload/application variation over time. Proposing energy efficient solutions in the context of large-scale HPC is a real, unavoidable challenge. This article explores two alternative approaches (with or without knowledge of applications and services) dealing with the same goal: reducing the energy usage of large-scale infrastructures which support HPC applications. This article describes the first approach, with knowledge of applications and services, which enables users to choose the less consuming implementation of services. Based on the energy consumption estimation of the different implementations (protocols) for each service, this approach is validated on the case of fault tolerance service in HPC. The 'without knowledge' approach allows some intelligent framework to observe the life of HPC systems and proposes some energy reduction schemes. This framework automatically estimates the energy consumption of the HPC system in order to apply power saving schemes. Both approaches are experimentally evaluated and analysed in terms of energy efficiency.
Year
DOI
Venue
2013
10.1177/1094342013495304
International Journal of High Performance Computing Applications
Keywords
Field
DocType
energy consumption estimation,HPC system,energy reduction scheme,energy consumption,Proposing energy,high-performance computing,HPC application,energy usage,colossal energy waste,large-scale HPC,energy efficiency
Power saving,Some Energy,Supercomputer,Computer science,Workload,Efficient energy use,Parallel computing,Implementation,Fault tolerance,Energy consumption,Distributed computing
Journal
Volume
Issue
ISSN
27
3
1094-3420
Citations 
PageRank 
References 
3
0.46
18
Authors
7