TY  - CONF
AU  - Gschwandtner, Philipp
AU  - Knobloch, Michael
AU  - Mohr, Bernd
AU  - Pleiter, Dirk
AU  - Fahringer, Thomas
TI  - Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7
PB  - IEEE
M1  - FZJ-2015-00183
SP  - 536 - 543
PY  - 2014
AB  - 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.
T2  - 2014 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
CY  - 12 Feb 2014 - 14 Feb 2014, Torino (Italy)
Y2  - 12 Feb 2014 - 14 Feb 2014
M2  - Torino, Italy
LB  - PUB:(DE-HGF)8
UR  - <Go to ISI:>//WOS:000353964700080
DO  - DOI:10.1109/PDP.2014.112
UR  - https://juser.fz-juelich.de/record/186082
ER  -