This title appears in the Scientific Report :
2016
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-46079-6_15 in citations.
Exploring Energy Efficiency for GPU-Accelerated POWER Servers
Exploring Energy Efficiency for GPU-Accelerated POWER Servers
Modern servers provide different features for managing the amount of energy that is needed to execute a given work-load. In this article we focus on a new generation of GPU-accelerated servers with POWER8 processors. For different scientific applications, which have in common that they have been wri...
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Personal Name(s): | Hater, Thorsten |
---|---|
Anlauf, Benedikt / Baumeister, Paul F. / Bühler, Markus / Kraus, Jiri / Pleiter, Dirk (Corresponding author) | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
High Performance Computing / Taufer, Michela (Editor),Chapter 15 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-46078-9=978-3-319-46079-6 |
Imprint: |
Cham
Springer International Publishing
2016
|
Physical Description: |
207 - 227 |
ISBN: |
978-3-319-46078-9 (print) |
DOI: |
10.1007/978-3-319-46079-6_15 |
Conference: | International Workshop on OpenPOWER for HPC, Frankfurt (Germany), 2016-06-23 - 2016-06-23 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Supercomputer Facility |
Series Title: |
Lecture Notes in Computer Science
9945 |
Publikationsportal JuSER |
Modern servers provide different features for managing the amount of energy that is needed to execute a given work-load. In this article we focus on a new generation of GPU-accelerated servers with POWER8 processors. For different scientific applications, which have in common that they have been written for massively-parallel computers, we measure energy-to-solution for different system configurations. By combining earlier developed performance models and a simple power model, we derive an energy model that can help to optimise for energy efficiency. |