Paper Info
Title
Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
Abstract
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has prevented the further application of large-scale clusters. Designing energy-efficient scheduling algorithms for parallel applications running on clusters, especially on the high performance heterogeneous clusters, is highly desirable. In this regard, we propose a novel scheduling strategy called energy efficient task duplication schedule (EETDS for short), which can significantly conserve power by judiciously shrinking communication energy cost when allocating parallel tasks to heterogeneous computing nodes. We present the preliminary simulation results for Gaussian and FFT parallel task models to prove the efficiency of our algorithm.
Year
DOI
Venue
2007
10.1109/ICPP.2007.39
ICPP
Keywords
Field
DocType
parallel application,heterogeneous computing node,energy-efficient scheduling algorithm,parallel applications,parallel task,communication energy cost,fft parallel task model,heterogeneous clusters,amazing computing capability,energy-efficient scheduling,heterogeneous cluster,high performance,energy efficient task duplication,scheduling algorithm,heterogeneous computing,scheduling,energy efficient,parallel algorithms
Cluster (physics),Scheduling (computing),Parallel algorithm,Computer science,Efficient energy use,Parallel computing,Symmetric multiprocessor system,Gaussian,Fast Fourier transform,Cost efficiency,Distributed computing
Conference
ISSN
ISBN
Citations 
1530-2016
0-7695-2933-X
26
PageRank 
References 
Authors
0.97
13
6
Name
Order
Citations
PageRank
Ziliang Zong164640.20
Xiao Qin21836125.69
Xiaojun Ruan339025.87
Kiranmai Bellam4715.90
Mais Nijim514414.08
Mohamed Alghamdi6261.30