This repository contains analyses of the dynamic power consumption of HPL runs typically of TOP500/Green500 submissions. The goal is to determine the influence of low-granularity power measurements (i.e. 60 second intervals) on resulting accuracy.
- 34-node GPU system
- short 7-minute run
- 1s-interval power measurement
- "smooth" power consumption with strong drop during the end of the run
- 630-node CPU system
- long > 9h run
- 1s-interval power measurement
- large power variation in very short patterns
- energy measurements available, but problamtic due to timestamp accuracy
Thomas Ilsche thomas.ilsche@tu-dresden.de
- Large GPU system (#1 TOP500)
- Averaged power data in 15s bins
- 2 hour run
- Some drops in power due to synchronization
- Switching algorithms between high sustained performance and better convergence causes jump in power consumption during the run
- Drop in power in end phase
The Frontier dataset is available at https://doi.ccs.ornl.gov/ui/doi/437
It is available as per Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Author Information
- Primary Contact Information
- Name: Scott Atchley
- Institution: Oak Ridge National Laboratory
- Address: 1 Bethel Valley Road, Oak Ridge, Tennessee, 37830
- Email: atchleyes@ornl.gov
- Co-Investigator Data Processing Contact Information
- Name: Dr. Matthias Maiterth
- Institution: Oak Ridge National Laboratory
- Address: 1 Bethel Valley Road, Oak Ridge, Tennessee, 37830
- Email: maiterthm@ornl.gov
- A100 GPU System at Universitaet Erlangen
- Short 5:16 run
- Level1 Measurement
- H100 GPU System at University of Duisburg-Essen
- Short 3:15 run
- Level1 Measurement
- A100 GPU System at NHR@Göttingen
- Short 3:24 run
- Level2 Measurement
Data kindly provided by Markus Hilger, Megware.