Evaluating the Advantage of Reactive MPI-aware Power Control Policies
| Autor: | Daniele Cesarini, Carlo Cavazzoni, Andrea Bartolini |
|---|---|
| Přispěvatelé: | Cesarini D., Cavazzoni C., Bartolini A. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Power management
020203 distributed computing Computer science Parallel programming 020206 networking & telecommunications 02 engineering and technology Energy consumption Supercomputer Reliability engineering Energy efficiency NPB HPC 0202 electrical engineering electronic engineering information engineering Overhead (computing) Reactive policy MPI Timer DVFS Efficient energy use Power control |
| Zdroj: | Parallel Processing and Applied Mathematics ISBN: 9783030432218 PPAM (2) |
| Popis: | Power consumption is an essential factor that worsens the performance and costs of today and future supercomputer installations. In state-of-the-art works, some approaches have been proposed to reduce the energy consumption of scientific applications by reducing the operating frequency of the computational elements during MPI communication regions. State-of-the-art algorithms rely on the capability of predicting at execution time the duration of these communication regions before their execution. The COUNTDOWN approach tries to do the same by mean of a purely reactive timer based policy. In this paper, we compare the COUNTDOWN algorithm with state-of-the-art predictive-based algorithm, showing that timer based policies are more effective in extract power saving opportunities and reducing energy waste with a lower overhead. When running in a Tier1 system, COUNTDOWN achieves 5% more energy saving with lower overhead than state-of-the-art proactive policy. This suggests that reactive policies are more suited then proactive approaches for communication-aware power management algorithms. |
| Databáze: | OpenAIRE |
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