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Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 Oct 2025Publisher:Zenodo

Authors: Go, Seokjin; Park, Joongun; More, Spandan; Wu, Hanjiang; Wang, Irene; Jezghani, Aaron; Krishna, Tushar; +1 Authors

doi: 10.5281/zenodo.16734738 , 10.5281/zenodo.16734737

Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective

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Abstract

This artifact includes the source code for the paper "Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective" published in the MICRO 2025 conference. It contains the evaluated frameworks and a modified Zeus implementation for hardware telemetry collection. It also provides SLURM and bash scripts to prepare and launch experiments, along with Python scripts to reproduce and visualize key results from the paper.

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