Journal Article

FZJ-2015-03428

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Tools and methods for measuring and tuning the energy efficiency of HPC systems

Schöne, R. (Corresponding Author) ; Treibig, J. ; Dolz, M. ; Guillen, C. ; Navarrete, C. ; Knobloch, M.FZJ* ; Rountree, B.

2014
IOS Press

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Please use a persistent id in citations: http://hdl.handle.net/2128/25413  doi:10.3233/SPR-140393

Abstract: Energy costs nowadays represent a significant share of the total costs of ownership of High Performance Computing (HPC) systems. In this paper we provide an overview on different aspects of energy efficiency measurement and optimization. This includes metrics that define energy efficiency and a description of common power and energy measurement tools. We discuss performance measurement and analysis suites that use these tools and provide users the possibility to analyze energy efficiency weaknesses in their code. We also demonstrate how the obtained power and performance data can be used to locate inefficient resource usage or to create a model to predict optimal operation points. We further present interfaces in these suites that allow an automated tuning for energy efficiency and how these interfaces are used. We finally discuss how a hard power limit will change our view on energy efficient HPC in the future.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 411 - Computational Science and Mathematical Methods (POF2-411) (POF2-411)
2. ATMLPP - ATML Parallel Performance (ATMLPP) (ATMLPP)

Appears in the scientific report 2015

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Database coverage:
; ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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