Operation-Aware Power Capping
| Autor: | Julian Miller, Christian Terboven, Matthias S. Müller, Bo Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Speedup Computer science business.industry Clock rate 02 engineering and technology Cluster (spacecraft) 01 natural sciences Power budget 020202 computer hardware & architecture Power (physics) Uncore Core (game theory) Embedded system 0103 physical sciences 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | Euro-Par 2020: Parallel Processing ISBN: 9783030576745 Euro-Par |
| DOI: | 10.1007/978-3-030-57675-2_5 |
| Popis: | Once the peak power draw of a large-scale high-performance-computing (HPC) cluster exceeds the capacity of its surrounding infrastructures, the cluster’s power consumption needs to be capped to avoid hardware damage. However, power capping often causes a computational performance loss because the underlying processors are clocked down. In this work, we developed an operation-aware management strategy, called OAPM, to mitigate the performance loss. OAPM manages performance under a power cap dynamically at runtime by modifying the core and uncore clock rate. Using this approach, the limited power budget can be shifted effectively and optimally among components within a processor. The components with high computational activities are powered up while the others are throttled. The overall execution performance is improved. Employing the OAPM on diverse HPC benchmarks and real-world applications, we observed that the hardware settings adjusted by OAPM have near-optimal results compared to the optimal setting of a static approach. The achieved speedup in our work amounts to up to 6.3%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|