Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems-Reference-Cited by-同舟云学术

Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems

Published:2020 Issue: Volume: Page:63-82
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Saillant Théo,Weill Jean-Christophe,Mougeot Mathilde

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-50743-5_4

Reference22 articles.

1. Lecture Notes in Computer Science;A Borghesi,2016

2. Borghesi, A., Bartolini, A., Lombardi, M., Milano, M., Benini, L.: Scheduling-based power capping in high performance computing systems. Sustain. Comput.: Inform. Syst. 19, 1–13 (2018)

3. Bugbee, B., Phillips, C., Egan, H., Elmore, R., Gruchalla, K., Purkayastha, A.: Prediction and characterization of application power use in a high-performance computing environment. Stat. Anal. Data Min.: ASA Data Sci. J. 10(3), 155–165 (2017)

4. Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21–27 (1967)

5. Dutot, P.F., Georgiou, Y., Glesser, D., Lefevre, L., Poquet, M., Rais, I.: Towards energy budget control in HPC. In: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. IEEE Press (2017)

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