LIKWID monitoring stack: A flexible framework enabling job specific performance monitoring for the masses

Röhl T, Eitzinger J, Hager G, Wellein G (2017)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 781-784

Article Number: 8049016

ISBN: 9781538623268

DOI: 10.1109/CLUSTER.2017.115

Authors with CRIS profile

Thomas Gruber Regionales Rechenzentrum Erlangen (RRZE) Jan Eitzinger Regionales Rechenzentrum Erlangen (RRZE) Georg Hager Regionales Rechenzentrum Erlangen (RRZE) Gerhard Wellein Professur für Höchstleistungsrechnen

How to cite

APA:

Röhl, T., Eitzinger, J., Hager, G., & Wellein, G. (2017). LIKWID monitoring stack: A flexible framework enabling job specific performance monitoring for the masses. In Proceedings of the 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 (pp. 781-784). Institute of Electrical and Electronics Engineers Inc..

MLA:

Röhl, Thomas, et al. "LIKWID monitoring stack: A flexible framework enabling job specific performance monitoring for the masses." Proceedings of the 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 Institute of Electrical and Electronics Engineers Inc., 2017. 781-784.

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