Click the link below to download the latest Run Rules to find out what you need to do before you submit an entry.
EEHPC WG: Power Measurement Methodology
Click the link below to download the EEHPC WG Power Measurement Methodology to find out more about Level 2 and Level 3 measurements.
The Green Index: A Metric for Evaluating System-Wide Energy Efficiency in HPC Systems
Balaji Subramaniam, Wu-chun Feng.
In Proceedings of the 8th IEEE Workshop on High-Performance, Power-Aware Computing (HPPAC),
Characterizing Performance and Power of GPU Applications with DVFS
Yang Jiao, Heshan Lin, Wu-chun Feng.
In Proceedings of the IEEE/ACM International Conference on Green Computing and Communications (GreenCom),
The Green500 List: Escapades to Exascale
Presented at the 2012 International Supercomputing Conference
2011 Supercomputing Conference Presentation
SC11 BoF Compute System Metrics_versI.pptx
Presentation from the 2011 Supercomputing Conference Bird's of a Feather
The HPC industry is responding to the demand for more powerful equipment, and consequently, creating increasingly energy intensive products. However, as profit-maximizing entities, businesses have a clear need for energy efficient computing due to the uncertainties in energy markets. The Energy Efficient HPC Working Group (EE HPC WG) will target both public and private HPC owners, operators and users to increase collective knowledge and stimulate demand for energy efficient HPC.
The Green Grid is a global consortium of IT companies and professionals seeking to improve energy efficiency in data centers and business computing ecosystems around the globe. The organization seeks to unite global industry efforts to standardize on a common set of metrics, processes, methods and new technologies to further its common goals.
SPECpower_ssj2008 is the first industry-standard SPEC benchmark that evaluates the power and performance characteristics of volume server class and multi-node class computers. With SPECpower_ssj2008, SPEC is defining server power measurement standards in the same way we have done for performance.