Systemwide power management with Argo

Daniel Ellsworth; Tapasya Patki; Swann Perarnau; Sangmin Seo; Abdelhalim Amer; Judicael Zounmevo; Rinku Gupta; Kazutomo Yoshii; Henry Hoffman; Allen Malony; Martin Schulz; Pete Beckman

doi:10.1109/IPDPSW.2016.81

Systemwide power management with Argo

Daniel Ellsworth, Tapasya Patki, Swann Perarnau, Sangmin Seo, Abdelhalim Amer, Judicael Zounmevo, Rinku Gupta, Kazutomo Yoshii, Henry Hoffman, Allen Malony, Martin Schulz, Pete Beckman

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

The Argo project is a DOE initiative for designing a modular operating system/runtime for the next generation of supercomputers. A key focus area in this project is power management, which is one of the main challenges on the path to exascale. In this paper, we discuss ideas for systemwide power management in the Argo project. We present a hierarchical and scalable approach to maintain a power bound at scale, and we highlight some early results.

Original language	English (US)
Title of host publication	Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1118-1121
Number of pages	4
ISBN (Electronic)	9781509021406
DOIs	https://doi.org/10.1109/IPDPSW.2016.81
State	Published - Jul 18 2016
Event	30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016 - Chicago, United States Duration: May 23 2016 → May 27 2016

Publication series

Name	Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016

Other

Other	30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016
Country/Territory	United States
City	Chicago
Period	5/23/16 → 5/27/16

Keywords

Power management

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/IPDPSW.2016.81

Cite this

Ellsworth, D., Patki, T., Perarnau, S., Seo, S., Amer, A., Zounmevo, J., Gupta, R., Yoshii, K., Hoffman, H., Malony, A., Schulz, M., & Beckman, P. (2016). Systemwide power management with Argo. In Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016 (pp. 1118-1121). Article 7529994 (Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPSW.2016.81

Ellsworth, Daniel ; Patki, Tapasya ; Perarnau, Swann et al. / Systemwide power management with Argo. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1118-1121 (Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016).

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abstract = "The Argo project is a DOE initiative for designing a modular operating system/runtime for the next generation of supercomputers. A key focus area in this project is power management, which is one of the main challenges on the path to exascale. In this paper, we discuss ideas for systemwide power management in the Argo project. We present a hierarchical and scalable approach to maintain a power bound at scale, and we highlight some early results.",

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author = "Daniel Ellsworth and Tapasya Patki and Swann Perarnau and Sangmin Seo and Abdelhalim Amer and Judicael Zounmevo and Rinku Gupta and Kazutomo Yoshii and Henry Hoffman and Allen Malony and Martin Schulz and Pete Beckman",

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doi = "10.1109/IPDPSW.2016.81",

language = "English (US)",

series = "Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ellsworth, D, Patki, T, Perarnau, S, Seo, S, Amer, A, Zounmevo, J, Gupta, R, Yoshii, K, Hoffman, H, Malony, A, Schulz, M & Beckman, P 2016, Systemwide power management with Argo. in Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016., 7529994, Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1118-1121, 30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016, Chicago, United States, 5/23/16. https://doi.org/10.1109/IPDPSW.2016.81

Systemwide power management with Argo. / Ellsworth, Daniel; Patki, Tapasya; Perarnau, Swann et al.
Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1118-1121 7529994 (Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Systemwide power management with Argo

AU - Ellsworth, Daniel

AU - Patki, Tapasya

AU - Perarnau, Swann

AU - Seo, Sangmin

AU - Amer, Abdelhalim

AU - Zounmevo, Judicael

AU - Gupta, Rinku

AU - Yoshii, Kazutomo

AU - Hoffman, Henry

AU - Malony, Allen

AU - Schulz, Martin

AU - Beckman, Pete

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N2 - The Argo project is a DOE initiative for designing a modular operating system/runtime for the next generation of supercomputers. A key focus area in this project is power management, which is one of the main challenges on the path to exascale. In this paper, we discuss ideas for systemwide power management in the Argo project. We present a hierarchical and scalable approach to maintain a power bound at scale, and we highlight some early results.

AB - The Argo project is a DOE initiative for designing a modular operating system/runtime for the next generation of supercomputers. A key focus area in this project is power management, which is one of the main challenges on the path to exascale. In this paper, we discuss ideas for systemwide power management in the Argo project. We present a hierarchical and scalable approach to maintain a power bound at scale, and we highlight some early results.

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BT - Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016

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Ellsworth D, Patki T, Perarnau S, Seo S, Amer A, Zounmevo J et al. Systemwide power management with Argo. In Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1118-1121. 7529994. (Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016). doi: 10.1109/IPDPSW.2016.81

Systemwide power management with Argo

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Keywords

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