tilsche / hpl-phases

Demonstrating power over time of HPL for EEHPCWG discussions

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Analyzing HPL power traces

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.

TUD Systems

Alpha

  • 34-node GPU system
  • short 7-minute run
  • 1s-interval power measurement
  • "smooth" power consumption with strong drop during the end of the run

Barnard

  • 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

Author

Thomas Ilsche thomas.ilsche@tu-dresden.de

ORNL System

Frontier

Description

  • 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

Data source

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
    1. Primary Contact Information
    • Name: Scott Atchley
    • Institution: Oak Ridge National Laboratory
    • Address: 1 Bethel Valley Road, Oak Ridge, Tennessee, 37830
    • Email: atchleyes@ornl.gov
    1. 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

Megware Systems

Alex

amplitUDE

Grete

Author

Data kindly provided by Markus Hilger, Megware.

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Demonstrating power over time of HPL for EEHPCWG discussions


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