Abstract
Due to growth of energy consumption by HPC servers and data centers many research efforts aim at addressing the problem of energy efficiency. Hence, the use of low power processors such as Intel Atom and ARM Cortex have recently gained more interest. In this article, we compare performance and energy efficiency of cutting-edge high-density HPC platform enclosures featuring either very high-performing processors (such as Intel Core i7 or E7) yet having low power-efficiency, or the reverse i.e. energy efficient processors (such as Intel Atom, AMD Fusion or ARM Cortex A9) yet with limited computing capacity. Our objective was to quantify in a very pragmatic way these general purpose CPUs using a set of reference benchmarks and applications run in an HPC environment, the trade-off that could exist between computing and power efficiency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kurowski, K., Oleksiak, A., Witkowski, M., Nabrzyski, J.: Distributed power management and control system for sustainable computing environments. In: Proceedings of the International Conference on Green Computing GREENCOMP ’10, pp. 365–372 (2010)
Minkowski, A., Oleksiak, A., Witkowski, M.: Monitorowanie i zarządzanie zużyciem energii przez komputery oraz urządzenia w infrastrukturze administracji samorządowej przy użyciu systemu GICOMP. In: Wybrane Aspekty Rozwoju Lokalnego Kapitalu Ludzkiego w dobie Spoleczeństwa Informacyjnego (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jarus, M., Oleksiak, A. (2013). Gicomp and GreenOffice – Monitoring and Management Platforms for IT and Home Appliances. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-40517-4_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40516-7
Online ISBN: 978-3-642-40517-4
eBook Packages: Computer ScienceComputer Science (R0)