Supplimentary stuff for the "Investigating the Cause and Effect of an AMD Zen Energy Management Anomaly"
Contents
measurement.py
Measurement automation code.
This currently uses metricQ as a means to get per-node power readings, but it shouldn't be a problem to replace it with another tool
This requires the powerread and compute programs which can be compiled using the provided Makefile.
powerread.c
This uses lm_sensors[1] and x86_adapt [2] to get per-package and per-core voltage values
workload.cpp
A simple workload that performs a vector multiply-and-add loop for 10 seconds.
Usage: ./compute [cpuid] [cpuid] [cpuid] For example ./compute 0 1 4 - Three threads pinned to cores 0,1,4
charts/reference.ipynb
Jupyter notebook used to generate Figure 2
charts/percentages.ipynb
Jupyter notebook used to generate Figure 3
results/
Contains the measurement data used to generate the figures
[1] https://github.com/lm-sensors/lm-sensors [2] https://github.com/tud-zih-energy/x86_adapt