Contribution to a conference proceedings

FZJ-2015-00183

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7

Gschwandtner, P. (Corresponding Author) ; Knobloch, M.FZJ* ; Mohr, B.FZJ* ; Pleiter, D.FZJ* ; Fahringer, T.

2014
IEEE

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Please use a persistent id in citations: doi:10.1109/PDP.2014.112

Abstract: Energy consumption optimization of HPC applications inherently requires measurements for reference and comparison. However, most of today’s systems lack the necessary hardware support for power or energy measurements. Furthermore, in-band data availability is preferred for specific optimization techniques such as auto-tuning. For this reason, we present in-band energy consumption models for the IBM POWER7 processor based on hardware counters. We demonstrate that linear regression is a suitable means for modeling energy consumption, and we rely on already available, highlevelbenchmarks for training instead of self-written or handtuned micro-kernels. We compare modeling efforts for different instruction mixes caused by two compilers (GCC and IBM XL) as well as various multi-threading usage scenarios, and validate across our training benchmarks and two real-world applications. Results show mean errors of approximately 1% and overall max errors of 5.3% for GCC.

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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 2014

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