Practical Resource Management in Power-Constrained, High Performance Computing-Reference-Cited by-同舟云学术

Practical Resource Management in Power-Constrained, High Performance Computing

Published:2015-06-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing
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Author:

Patki Tapasya¹,Lowenthal David K.¹,Sasidharan Anjana²,Maiterth Matthias³,Rountree Barry L.⁴,Schulz Martin⁴,de Supinski Bronis R.⁴

Affiliation:

1. University of Arizona, Tucson, AZ, USA

2. Amazon, Inc., Seattle, WA, USA

3. Ludwig Maximilian University, Munich, Germany

4. Lawrence Livermore National Laboratory, Livermore, CA, USA

Funder

US Department of Energy Lawrence Livermore National Laboratory

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2749246.2749262

Reference45 articles.

1. Top500 Supercomputer Sites. November 2014. http://www.top500.org/lists/2014/11. Top500 Supercomputer Sites. November 2014. http://www.top500.org/lists/2014/11.

2. Simple Power-Aware Scheduler to Limit Power Consumption by HPC System within a Budget

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