Skip to main content

miniwdl slurm backend using singularity

Project description

Extends miniwdl to run workflows on SLURM clusters in singularity containers.

This SLURM backend plugin for miniwdl runs WDL task containers by creating a job script that is submitted to a SLURM cluster. In case the job description has a container, singularity will be used as container runtime.

Installation

For the latest stable version:

pip install miniwdl-slurm

For the development version:

pip install git+https://github.com/miniwdl-ext/miniwdl-slurm.git

Configuration

The following miniwdl configuration example can be used to use miniwdl on a SLURM cluster:

[scheduler]
container_backend=slurm_singularity
# task_concurrency defaults to the number of processors on the system.
# since we submit the jobs to SLURM this is not necessary.
# higher numbers means miniwdl has to monitor more processes simultaneously
# which might impact performance.
task_concurrency=200

# This setting allows running tasks to continue, even if one other tasks fails.
# Useful in combination with call caching. Prevents wasting resources by
# cancelling jobs half-way that would probably succeed.
fail_fast = false

[call_cache]
# The following settings create a call cache under the current directory.
# This prevents wasting unnecessary resources on the cluster by rerunning
# jobs that have already succeeded.
put = true
get = true
dir = "$PWD/miniwdl_call_cache"

[task_runtime]
# Setting a 'maxRetries' default allows jobs that fail due to intermittent
# errors on the cluster to be retried.
defaults = {
        "maxRetries": 2,
        "docker": "ubuntu:20.04"
    }

[singularity]
# This plugin wraps the singularity backend. Make sure the settings are
# appropriate for your cluster.
exe = ["singularity"]

# the miniwdl default options contain options to run as a fake root, which
# is not available on most clusters.
run_options = [
        "--containall"
    ]

# Location of the singularity images (optional). The miniwdl-slurm plugin
# will set it to a directory inside $PWD. This location must be reachable
# for the submit nodes.
image_cache = "$PWD/miniwdl_singularity_cache"

[slurm]
# extra arguments passed to the srun command (optional).
extra_args="--partition heavy_users,gpu --comment 'run with miniwdl'"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

miniwdl-slurm-0.1.0.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

miniwdl_slurm-0.1.0-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file miniwdl-slurm-0.1.0.tar.gz.

File metadata

  • Download URL: miniwdl-slurm-0.1.0.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.2

File hashes

Hashes for miniwdl-slurm-0.1.0.tar.gz
Algorithm Hash digest
SHA256 0191909d86a3c459e0ddf14302cf6df2c6da2431facfa6fd4769fa370f17b5e0
MD5 98a1cd107d82ebcd1e9e09d9c602ca06
BLAKE2b-256 40908abe43430267887203c896607ed1e771cd4a0af861d64b28e67ce3559605

See more details on using hashes here.

File details

Details for the file miniwdl_slurm-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for miniwdl_slurm-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ffb88db64cfc891ea32994ced4d0a0501381824589e80e8e3b6558e8073b420c
MD5 28ecc34506c4c6a98741a4c486942948
BLAKE2b-256 0fe23165517a354dd0ae8b78cf413054179674d0c8c47430f2036faac33ac3e7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page