Authors: Wu Feng (Virginia Tech), Erich Strohmaier (Lawrence Berkeley National Laboratory), Natalie Bates (Energy Efficient HPC Working Group), Thomas Scogland (Lawrence Livermore National Laboratory)
Abstract: With power becoming a first-order design constraint on-par with performance, it is important to measure and analyze energy-efficiency trends in supercomputing. To raise the awareness of greenness as a first-order design constraint, the Green500 seeks to characterize the energy-efficiency of supercomputers for different metrics, workloads, and methodologies. This BoF discusses trends across the Green500 and highlights from the current Green500 list. In addition, the Green500, Top500, and Energy-Efficient HPC Working Group have been working together on improving power-measurement methodology, and this BoF presents case studies from sites that have made power submissions that meet the highest quality of measurement methodology.
Long Description: To raise the awareness of greenness as a first-order design constraint, the Green500 seeks to characterize the energy efficiency of supercomputers. Based on this characterization, it also provides a ranking of the most energy-efficient supercomputers in the world.
The goals of this BoF are multi-fold: (1) analyze and announce the latest Green500 List, (2) present technical details and analysis on three of the most energy-efficient supercomputers, (3) and present case studies on improving quality and accuracy aspects of the power measurement methodology.
This joint BoF between the Green500, Top500, and the Energy Efficient HPC Working Group (EE HPC WG) has been held every year at SC since SC11. The participation has varied between 75 and 125 people.
Feedback on the power measurement methodology more generally will be captured. This information will be used to make submission process and methodology improvements.
The Green500 List will be published on the Green500 website. All other presentations (technical details on the three most energy efficient supercomputers as well as case studies on power measurement methodology) will also be published on the EE HPC WG website.
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