Rostirolla G, da Rosa Righi R, Facco Rodrigues V, Velho P, Luiz Padoin E (2015)
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2015
DOI: 10.1109/SustainIT.2015.7101369
Energy consumption on systems that have a continuous power source is tightly-related to both the computing time of an application and its required CPU load. Considering the scope of HPC applications which commonly have a time precision in nano or milliseconds, we observe a lack of systems that combine appropriate sampling rate, low intrusiveness and low cost. In this context, this article presents a model called GreenHPC that uses a hall effect sensor to precisely capture current with an arbitrary timeslice on HPC applications. Its scientific contribution relies on analyzing the energy consumption at a cluster scale, without application intrusiveness, showing the impact of maintaining idle nodes or turning them off for energy saving. Furthermore, considering the use of GreenHPC over the execution of a seismic wave application, we also present the number of employed processors which present the best energy consumption index. Finally, we have used the obtained results to infer a model to estimate energy consumption of HPC applications. All the developed work has a special concern on reproducibility, so all data and hardware schematics are available for download at(1).
APA:
Rostirolla, G., da Rosa Righi, R., Facco Rodrigues, V., Velho, P., & Luiz Padoin, E. (2015). GreenHPC: A Novel Framework to Measure Energy Consumption on HPC Applications. In Proceedings of the Sustainable Internet and ICT for Sustainability (SustainIT).
MLA:
Rostirolla, Gustavo, et al. "GreenHPC: A Novel Framework to Measure Energy Consumption on HPC Applications." Proceedings of the Sustainable Internet and ICT for Sustainability (SustainIT) 2015.
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