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A Snakemake executor plugin for submitting jobs to an AWS Parallel Cluster (pcluster) SLURM cluster.

Project description

Snakemake executor plugin: pcluster-slurm v_0.0.6_

Snakemake Executor Plugins (generally)

Snakemake plugin catalog docs.

pcluster-slurm plugin

AWS Parallel Cluster, pcluster slurm

AWS Parallel Cluster is a framework to deploy and manage dynamically scalable HPC clusters on AWS, running SLURM as the batch system, and pcluster manages all of the creating, configuring, and deleting of the cluster compute nodes. Nodes may be spot or dedicated. note, the AWS Parallel Cluster port of slurm has a few small, but critical differences from the standard slurm distribution. This plugin enables using slurm from pcluster head and compute nodes via snakemake >=v8.*.

Pre-requisites

Snakemake >=8.*

Conda

conda create -n snakemake -c conda-forge -c bioconda snakemake==8.20.6
conda activate snakemake

Installation (pip)

from an environment with snakemake and pip installed

pip install snakemake-executor-plugin-pcluster-slurm

Example Usage daylily cluster headnode

mkdir -p /fsx/resources/environments/containers/ubuntu/cache/
export SNAKEMAKE_OUTPUT_CACHE=/fsx/resources/environments/containers/ubuntu/cache/
snakemake --use-conda --use-singularity -j 10  --singularity-prefix /fsx/resources/environments/containers/ubuntu/ip-10-0-0-240/ --singularity-args "  -B /tmp:/tmp -B /fsx:/fsx  -B /home/$USER:/home/$USER -B $PWD/:$PWD" --conda-prefix /fsx/resources/environments/containers/ubuntu/ip-10-0-0-240/ --executor pcluster-slurm --default-resources slurm_partition='i64,i128,i192' --cache  --verbose

More Documentation Pending For:

How slurm uses --comment to tag resources created by the autoscaling cluster to tracke and mnage budgets.

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