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Hydra Slurm example

This is a collection of examples of how to use Hydra to launch jobs locally and on a Slurm cluster. For more background, read the Hydra documentation.

Local setup

Install conda and create a new environment:

conda env update -f env.yaml --prune

add .local/bin to your PATH

export PATH=$PATH:$HOME/.local/bin

HPC setup

Depending on the infrastructure and cluster, you maybe need to change some modules

module swap cluster/donphan
source modules.sh

You can always reset this setup using module purge.

Examples

  • src/sleep_pbs/README.md is an example used to explain interactive and job-based scheduling with PBS and SLURM. The example sleep script is benchmarked for runtime and memory usage with timeit and memray.
  • src/sleep_hydra/README.md is the same sleep example and benchmarking, but executed with the Hydra framework. More powerful and flexible, but also more complex.
  • src/dask_jobqueue/README.md is an example of how to use Hydra and submitit to launch a Dask jobqueue through the SLURM scheduler.
  • src/frequencies_hydra/README.md is the counting frequencies example with benchmarking. It uses a Python-only configuration, based on hydra-zen.
  • src/dask_batchrunner/README.md is an example of how to use the SLURMRunner from dask-jobqueue to launch a Dask cluster on SLURM. It uses either Pixi or vsc-venv to manage the environment. It currently does not use MPI.
  • src/dask_mympi/README.md is an example of how to use the vsc-mympirun to launch a Dask cluster on SLURM. It uses vsc-venv to manage the environment.

Common patterns

There are various usage patterns in Hydra to make your life easier. For more information, see the Hydra documentation on common patterns.

Possible improvements

  • Allow benchmarking using platform instrumentation and diagnostics (Slurm, Dask, Prefect...)
  • Optuna sweeper
  • Usage with Prefect

References