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| Hauptseite > Publikationsdatenbank > Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7 > print |
| Hauptseite > Publikationsdatenbank > Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7 > print |
| 001 | 186082 | ||
| 005 | 20250314084111.0 | ||
| 024 | 7 | _ | |2 doi |a 10.1109/PDP.2014.112 |
| 024 | 7 | _ | |a WOS:000353964700080 |2 WOS |
| 037 | _ | _ | |a FZJ-2015-00183 |
| 100 | 1 | _ | |0 P:(DE-Juel1)157897 |a Gschwandtner, Philipp |b 0 |e Corresponding Author |
| 111 | 2 | _ | |a 2014 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) |g PDP 2014 |c Torino |d 2014-02-12 - 2014-02-14 |w Italy |
| 245 | _ | _ | |a Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7 |
| 260 | _ | _ | |b IEEE |c 2014 |
| 300 | _ | _ | |a 536 - 543 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1421057011_25614 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a 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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| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Fahringer, Thomas |b 4 |
| 773 | _ | _ | |a 10.1109/PDP.2014.112 |
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