Natalie J. Bates
Affiliations:- Lawrence Livermore National Laboratory, EE HPC WG, USA
According to our database1,
Natalie J. Bates
authored at least 14 papers
between 2012 and 2021.
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Bibliography
2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
2020
Proceedings of the IEEE International Conference on Cluster Computing, 2020
2019
Proceedings of the 48th International Conference on Parallel Processing, 2019
An Analysis of Contracts and Relationships between Supercomputing Centers and Electricity Service Providers.
Proceedings of the 48th International Conference on Parallel Processing, 2019
2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
2016
Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States.
Proceedings of the High Performance Computing - 31st International Conference, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
2015
Electrical Grid and Supercomputing Centers: An Investigative Analysis of Emerging Opportunities and Challenges.
Inform. Spektrum, 2015
Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG.
Proceedings of the International Conference for High Performance Computing, 2015
2014
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014
2013
Proceedings of the Supercomputing - 28th International Supercomputing Conference, 2013
General Recommendations for High Performance Computing Data Center Energy Management Dashboard Display.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013
2012
Achieving the 20MW Target: Mobilizing the HPC Community to Accelerate Energy Efficient Computing.
Proceedings of the Transition of HPC Towards Exascale Computing, 2012