Energy profiling using IgProf

Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, Jukka K. Nurminen, Tapio Niemi, Giulio Eulisse, Peter Elmer, David Abdurachmanov

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

5 Citations (Scopus)

Abstract

Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.
Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1115-1118
Number of pages4
ISBN (Print)9781479980062
DOIs
Publication statusPublished - 7 Jul 2015
MoE publication typeA4 Article in a conference publication

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Keywords

  • Energy efficiency
  • Energy profiler
  • Profiling

Cite this

Khan, K. N., Nyback, F., Ou, Z., Nurminen, J. K., Niemi, T., Eulisse, G., ... Abdurachmanov, D. (2015). Energy profiling using IgProf. In Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015 (pp. 1115-1118). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCGrid.2015.118