Experimental comparisions
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Description
Hi! I am planning to use codecarbon to track the energy consumption from my code in a thesis where energy consumption from CPU one of the questions, And I later found this paper:
https://inria.hal.science/hal-04030223v2/file/_CCGrid23__An_experimental_comparison_of_software_based_power_meters__from_CPU_to_GPU.pdf
which said:
"""Code Carbon tends to report power consumption
values almost twice as high as other tools based on the same
interface for obtaining consumption values (Intel RAPL)."""
[Mathilde Jay, Vladimir Ostapenco, Laurent Lefèvre, Denis Trystram, Anne-Cécile Orgerie, et al.. An
experimental comparison of software-based power meters: focus on CPU and GPU. CCGrid 2023
- 23rd IEEE/ACM international symposium on cluster, cloud and internet computing, May 2023,
Bangalore, India. pp.1-13, ff10.1109/CCGrid57682.2023.00020ff. ffhal-04030223v2f]
So I am wondering if this has been looked at before i start tracking my code.
Thanks!!
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Research direction
Start by reading the linked CCGrid 2023 paper and tracing CodeCarbon's Intel RAPL measurement path. Reproduce or compare the reported CPU power values against the paper's reference tools, then document whether the discrepancy is confirmed, explained, or still unresolved.
Written by the indexing model from the issue text.
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- python
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- performance
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