Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SustainIT.2015.7101369 | SustainIT |
Keywords | Field | DocType |
High performance computing, green computing, cluster, energy-consumption, measuring tools and methods, ARM | Green computing,Supercomputer,Sampling (signal processing),Hall effect sensor,Intrusiveness,Real-time computing,Schematic,Millisecond,Engineering,Energy consumption,Computer engineering | Conference |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustavo Rostirolla | 1 | 6 | 1.20 |
| rodrigo da rosa righi | 2 | 45 | 7.87 |
| Vinicius Facco Rodrigues | 3 | 43 | 9.53 |
| Pedro Velho | 4 | 104 | 6.05 |
| Edson Luiz Padoin | 5 | 13 | 2.42 |