Natalie Bates
Lawrence Berkeley National Laboratory
14 Papers
14 Citations
Natalie Bates is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Computer science & Efficient energy use. The author has an hindex of 7, co-authored 14 publications.
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Papers
TUE, a New Energy-Efficiency Metric Applied at ORNL’s Jaguar
Michael K. Patterson,Stephen W. Poole,Chung-Hsing Hsu,Don Maxwell,William Tschudi,Henry Coles,David Martinez,Natalie Bates +7 more
- 16 Jun 2013
TL;DR: This paper proposes two new metrics: ITUE (IT-power usage effectiveness) similar to PUE but “inside” the IT and TUE (total- power usage effectiveness), which combines the two for a total efficiency picture.
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Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis
Matthias Maiterth,Gregory A. Koenig,Kevin Pedretti,Siddhartha Jana,Natalie Bates,Andrea Borghesi,Dave Montoya,Andrea Bartolini,Milos Puzovic +8 more
- 21 May 2018
TL;DR: This work describes the motivation and methodology of a first-of-its-kind global survey of HPC centers actively employing Energy and Power Aware Scheduling and Resource Management solutions for their production systems and presents the selection of participating sites.
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Electrical Grid and Supercomputing Centers: An Investigative Analysis of Emerging Opportunities and Challenges
Natalie Bates,Girish Ghatikar,Ghaleb Abdulla,Gregory A. Koenig,Sridutt Bhalachandra,Mehdi Sheikhalishahi,Tapasya Patki,Barry Rountree,Stephen W. Poole +8 more
TL;DR: In this article, some of the largest supercomputing centers (SCs) in the United States are developing new relationships with their electricity service providers (ESPs), which are driven by a mutual interest to reduce energy costs and improve electrical grid reliability.
A power-measurement methodology for large-scale, high-performance computing
Thomas R. W. Scogland,C Steffen,Torsten Wilde,Florent Parent,Susan Coghlan,Natalie Bates,Wu-chun Feng,Erich Strohmaier +7 more
- 22 Mar 2014
TL;DR: This paper describes a methodology that has been developed collaboratively through the Energy Efficient HPC Working Group to support architectural analysis and comparative measurements for rankings, such as the Top500 and Green500, and presents three distinct levels of measurement, which provide increasing levels of accuracy.
Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG
Thomas R. W. Scogland,Jonathan J. Azose,David Michael Rohr,Suzanne Rivoire,Natalie Bates,Daniel Hackenberg +5 more
- 15 Nov 2015
TL;DR: In this paper, power variability across nodes in systems at eight supercomputer centers across the globe is investigated, and it is shown that the current requirement for measurements submitted to the Green500 and others is insufficient, allowing variations of up to 20%.
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