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Energy - and Heat-aware HPC Benchmarks

Authors :
Mateusz Jarus
Georges Da Costa
Thomas Zilio
Ariel Oleksiak
Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture (IRIT-SEPIA)
Institut de recherche en informatique de Toulouse (IRIT)
Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées
Université Toulouse III - Paul Sabatier (UT3)
Poznan Supercomputing and Networking Center (PSNC)
Centre National de la Recherche Scientifique - CNRS (FRANCE)
Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université Toulouse 1 Capitole - UT1 (FRANCE)
Poznan Supercomputing and Networking Center - PSNC (POLAND)
Institut National Polytechnique de Toulouse - INPT (FRANCE)
Source :
Proceedings of the 3th International Conference on Cloud and Green Computing, International Workshop on European Actions Towards Eco-Friendly Data Centers (EuroEcoDc), co-located with 3th International Conference on Cloud and Green Computing (CGC 2013), International Workshop on European Actions Towards Eco-Friendly Data Centers (EuroEcoDc), co-located with 3th International Conference on Cloud and Green Computing (CGC 2013), Sep 2013, Karlsruhe, Germany. pp. 435-442, CGC
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; To evaluate data centers is tough. Several metrics are available to provide insight into their behaviour, but usually they are tested using simple benchmarks like LINPACK for HPC oriented data centers. A good choice of benchmarks is necessary to evaluate all the impact of applications on those data centers. One point that is often overlooked is their energy- and thermal-quality. To evaluate these qualities, adequate benchmarks are required from several points of view: from the nodes to the whole building. Classical benchmarks selection mainly focuses on time and raw performance. This article aims at shifting the focus towards an energy- and power-point of view. To this end, we select benchmarks able to evaluate data centers not only from this performance perspective, but also from the energy and thermal standpoint. We also provide insight into several classical benchmarks and method to select an adequate and small number of benchmarks in order to provide a sensible and minimum set of energy- and thermal-aware benchmarks for HPC systems.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the 3th International Conference on Cloud and Green Computing, International Workshop on European Actions Towards Eco-Friendly Data Centers (EuroEcoDc), co-located with 3th International Conference on Cloud and Green Computing (CGC 2013), International Workshop on European Actions Towards Eco-Friendly Data Centers (EuroEcoDc), co-located with 3th International Conference on Cloud and Green Computing (CGC 2013), Sep 2013, Karlsruhe, Germany. pp. 435-442, CGC
Accession number :
edsair.doi.dedup.....1519a279116ad61a52cc216b3d200783