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

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Röhl T, Eitzinger J, Hager G, Wellein G
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2017
Pages range: 781-784
ISBN: 9781538623268


FAU Authors / FAU Editors

Eitzinger, Jan Dr.
Regionales Rechenzentrum Erlangen (RRZE)
Hager, Georg Dr.
Regionales Rechenzentrum Erlangen (RRZE)
Gruber, Thomas
Regionales Rechenzentrum Erlangen (RRZE)
Wellein, Gerhard Prof. Dr.
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.

BibTeX: 

Last updated on 2019-23-07 at 07:22