@inproceedings{f11a8fb4723d4ee38158d5af2c0e0a60,
title = "A case study of energy aware scheduling on SuperMUC",
abstract = "In this paper, we analyze the functionalities for energy aware scheduling of the IBM LoadLeveler resource management system on SuperMUC, one of the world's fastest HPC systems. We explain how LoadLeveler predicts execution times and the average power consumption of the system's workloads at varying CPU frequencies and compare the prediction to real measurements conducted on various benchmarks. Since the prediction model proves to be accurate for our application workloads, we can analyze the LoadLeveler predictions for a large fraction of the SuperMUC application portfolio. This enables us to define a policy for energy aware scheduling on SuperMUC, which selects the CPU frequencies considering the applications' power and performance characteristics thereby providing an optimized tradeoff between energy savings and execution time.",
keywords = "HPC, energy aware scheduling, power modelling, resource management",
author = "Axel Auweter and Arndt Bode and Matthias Brehm and Luigi Brochard and Nicolay Hammer and Herbert Huber and Raj Panda and Francois Thomas and Torsten Wilde",
year = "2014",
doi = "10.1007/978-3-319-07518-1_25",
language = "English",
isbn = "9783319075174",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "394--409",
booktitle = "Supercomputing - 29th International Conference, ISC 2014, Proceedings",
note = "29th International Supercomputing Conference, ISC 2014 ; Conference date: 22-06-2014 Through 26-06-2014",
}