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1 IRIT - Institut de recherche en informatique de Toulouse 2 LIP - Laboratoire de l-Informatique du Parallélisme

Abstract : Hardware monitoring through performance counters is available on almost all modern processors. Although these counters are originally designed for performance tuning, they have also been used for evaluating power consumption. We propose two approaches for modelling and understanding the behaviour of high performance computing HPC systems relying on hardware monitoring counters. We evaluate the effectiveness of our system modelling approach considering both optimizing the energy usage of HPC systems and predicting HPC applications’ energy consumption as target objectives. Although hardware monitoring counters are used for modelling the system, other methods–including partial phase recognition and cross platform energy prediction–are used for energy optimization and prediction. Experimental results for energy prediction demonstrate that we can accurately predict the peak energy consumption of an application on a target platform; whereas, results for energy optimization indicate that with no a priori knowledge of workloads sharing the platform we can save up to 24% of the overall HPC system’s energy consumption under benchmarks and real-life workloads.

Keywords : Energy Performance High Performance Computing Hardware Performance Counters Green IT Power Consumption





Autor: Ghislain Landry Tsafack Chetsa - Laurent Lefèvre - Jean-Marc Pierson - Patricia Stolf - Georges Da Costa -

Fuente: https://hal.archives-ouvertes.fr/



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