Skip to main content

A Python 3 library for automatically running experiments using a Slurm cluster

Project description

SlurmQueen

A Python 3 library for automatically running experiments on a black-box tool using a Slurm cluster. In particular, this harness allows you to:

  1. Define an experiment by declaring a list of tasks to run on a tool.
  2. Generate bash scripts that run each task.
  3. Run those bash scripts on a Slurm cluster and download the results.
  4. Analyze the results through an SQL interface.

See this jupyter notebook for detailed usage.

Installation

For most users, the recommended method to install is via pip:

pip install slurmqueen

Dependencies:

  • paramiko
  • pandas
  • ipywidgets (optional)
  • click (required on the Slurm cluster to run the example)
  • notebook (required to run the example notebook)

See requirements.txt for detailed version information, if needed.

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

slurmqueen-1.4.0.tar.gz (12.3 kB view details)

Uploaded Source

File details

Details for the file slurmqueen-1.4.0.tar.gz.

File metadata

  • Download URL: slurmqueen-1.4.0.tar.gz
  • Upload date:
  • Size: 12.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for slurmqueen-1.4.0.tar.gz
Algorithm Hash digest
SHA256 97c17f71709ace4f2a0853e514a47a0be09bb737d030f983fa9a2b8e784fa17c
MD5 fee932dc5e2824f6373732957cc616c0
BLAKE2b-256 6f5b4fd63608728a529b7c36bdb8f124c6afca00a7fbdbbd360ede89c315d88f

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