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Artifacts for our SIGCOMM'22 paper Muri

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0. Introduction

This repository contains the source code for our SIGCOMM'22 paper "Multi-Resource Interleaving for Deep Learning Training".

1. Content

  • simulator/ contains code for simulation and is adapted from Tiresias. Please refer to <repo>/simulator/README.md for detailed information.
  • cluster_exp/ contains code for real-cluster experiment. Please refer to <repo>/cluster_exp/README.md for detailed information.

2. Reproduce results (for SIGCOMM'22 artifact evaluation)

Please refer to <repo>/simulator/README.md and <repo>/cluster_exp/README.md for details.

Note: Due to the execution scripts of testbed experiments are highly related to intracompany platform, we only demonstrate the functionality and show the pseudocode of the related scripts (e.g., run.sh, prepare_env.sh). Please adjust to your platform if you would like to execute the testbed experiment.

3. Contact

For any question, please contact zhaoyh98 at pku dot edu dot cn

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Artifacts for our SIGCOMM'22 paper Muri

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  • Python 96.7%
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  • Makefile 0.1%