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An efficient approach based on graph neural network for predicting wait time in job schedulers.

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deepbatch

An efficient approach based on graph neural network for predicting wait time in job schedulers.

Confirmed environment

  • Ubuntu 20.04.5 LTS
  • Python Python 3.8.10

Installation of other libraries

 $ git clone https://github.com/UTokyo-ICEPP/multiml.git
 $ cd multiml
 $ pip install -e .[pytorch]
 $ pip install  dgl -f https://data.dgl.ai/wheels/cu113/repo.html
 $ pip intall pyyaml
 $ pip install xgboost

Make snapshots from parallel workload archive

$ make_zarr.py

Run experiments

$ run_gat.py  # GAT model
$ run_mlp.py  # MLP model
$ run_bdt.py  # BDT model

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An efficient approach based on graph neural network for predicting wait time in job schedulers.

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