Dynamic Runtime and Energy Optimization for Power-Capped HPC Applications

Advances in parallel computing

Abstract

Future large-scale high-performance computing clusters will face a power wall where the peak power draw of these clusters exceeds the maximal power-supplying capability of the surrounding infrastructure.To use the limited power budget efficiently, we developed a dynamic strategy to tackle execution time imbalance issues through power shifting and frequency limitation.By applying this strategy to NPB OpenMP benchmarks, we succeed in a continuous enforcement of power draw under a specified power cap.At the same time, execution time is reduced by up to 12.8% and the energy to solution is reduced by up to 12.3%, compared to a native power strategy.

Authors 3

1. Bo Wang Aachen IT centre

   RWTH Aachen University

   Affiliation as printed

   IT Center at RWTH Aachen University , Germany

2. Terboven Christian Aachen IT centre

   RWTH Aachen University

   Affiliation as printed

   IT Center at RWTH Aachen University , Germany

3. Müller Matthias Aachen IT centre

   RWTH Aachen University

   Affiliation as printed

   IT Center at RWTH Aachen University , Germany