Exploring Energy Efficiency for GPU-Accelerated POWER Servers

Hater, Thorsten; Pleiter, Dirk; Baumeister, Paul F.; Anlauf, Benedikt; Bühler, Markus; Kraus, Jiri

doi:10.1007/978-3-319-46079-6_15

Contribution to a conference proceedings/Contribution to a book

FZJ-2016-06456

Exploring Energy Efficiency for GPU-Accelerated POWER Servers

Hater, T.FZJ* ; Anlauf, B. ; Baumeister, P. F.FZJ* ; Bühler, M. ; Kraus, J.Extern* ; Pleiter, D. (Corresponding author)FZJ*

2016
Springer International Publishing Cham
ISBN: 978-3-319-46078-9 (print)

High Performance Computing / Taufer, Michela (Editor),Chapter 15 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-46078-9=978-3-319-46079-6
International Workshop on OpenPOWER for HPC, IWOPH'16, Frankfurt, Germany, 23 Jun 2016 - 23 Jun 2016 Cham : Springer International Publishing, Lecture Notes in Computer Science 9945, 207 - 227 (2016) [10.1007/978-3-319-46079-6_15]

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Please use a persistent id in citations: doi:10.1007/978-3-319-46079-6_15

Abstract: 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.

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