A case study of energy aware scheduling on SuperMUC

Axel Auweter, Arndt Bode, Matthias Brehm, Luigi Brochard, Nicolay Hammer, Herbert Huber, Raj Panda, Francois Thomas, Torsten Wilde

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

66 Scopus citations

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.

Original languageEnglish
Title of host publicationSupercomputing - 29th International Conference, ISC 2014, Proceedings
PublisherSpringer Verlag
Pages394-409
Number of pages16
ISBN (Print)9783319075174, 9783319075174
DOIs
StatePublished - 2014
Externally publishedYes
Event29th International Supercomputing Conference, ISC 2014 - Leipzig, Germany
Duration: 22 Jun 201426 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8488 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th International Supercomputing Conference, ISC 2014
Country/TerritoryGermany
CityLeipzig
Period22/06/1426/06/14

Keywords

  • HPC
  • energy aware scheduling
  • power modelling
  • resource management

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