User Tools

Site Tools


publication

Publication details

  • eeClust: Energy-Efficient Cluster Computing (Timo Minartz, Daniel Molka, Michael Knobloch, Stephan Krempel, Thomas Ludwig, Wolfgang E. Nagel, Bernd Mohr, Hugo Falter), In Competence in High Performance Computing 2010, pp. 111–124, Springer Berlin Heidelberg (Heidelberg), CiHPC 2010, Schwetzingen, Germany, ISBN: 978-3-642-24025-6, 2012
    Publication detailsDOI

Abstract

Energy consumption has become a major topic in high performance computing in the last years. This is first due to the high operational costs for large-scale machines which are almost as high as the acquisition costs of the whole installation. A second factor is the high carbon footprint of HPC-centers, which should be reduced for environmental reasons. We present the eeClust project, which aims at the reduction of energy consumption of applications running on a cluster with as little performance degradation as possible. We outline the concept of the project, present the tools involved in analyzing the energy consumption of the application as well as managing hardware power states. Further we present first results and the ongoing work in the project.

BibTeX

@inproceedings{EECCMMKKLN12,
	author	 = {Timo Minartz and Daniel Molka and Michael Knobloch and Stephan Krempel and Thomas Ludwig and Wolfgang E. Nagel and Bernd Mohr and Hugo Falter},
	title	 = {{eeClust: Energy-Efficient Cluster Computing}},
	year	 = {2012},
	booktitle	 = {{Competence in High Performance Computing 2010}},
	publisher	 = {Springer Berlin Heidelberg},
	address	 = {Heidelberg},
	pages	 = {111--124},
	conference	 = {CiHPC 2010},
	location	 = {Schwetzingen, Germany},
	isbn	 = {978-3-642-24025-6},
	doi	 = {http://dx.doi.org/10.1007/978-3-642-24025-6_10},
	abstract	 = {Energy consumption has become a major topic in high performance computing in the last years. This is first due to the high operational costs for large-scale machines which are almost as high as the acquisition costs of the whole installation. A second factor is the high carbon footprint of HPC-centers, which should be reduced for environmental reasons. We present the eeClust project, which aims at the reduction of energy consumption of applications running on a cluster with as little performance degradation as possible. We outline the concept of the project, present the tools involved in analyzing the energy consumption of the application as well as managing hardware power states. Further we present first results and the ongoing work in the project.},
}

publication.txt · Last modified: 2019-01-23 10:26 by 127.0.0.1

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki