Prediction and characterization of application power use in a high‐performance computing environment
Bruce Bugbee, Caleb T. Phillips, Hilary Egan, Ryan Elmore, Kenny Gruchalla, Avi Purkayastha · Statistical Analysis and Data Mining The ASA Data Science Journal · 2017
Power use in data centers and high‐performance computing (HPC) facilities has grown in tandem with increases in the size and number of these facilities. Substantial innovation is needed to enable meaningful reduction in energy footprints in leadership‐class HPC systems. In this paper, we focus on characterizing and investigating application‐level power usage. We demonstrate potential methods for predicting power usage based on a priori and in situ characteristics. Finally, we highlight a potential use case of this method through a simulated power‐aware scheduler using historical jobs from a real scientific HPC system.