Skip to main content

A utility to run multiple small tasks in a single HPC job submission.

Project description

ictasks

ictasks is a library to support running collections of small tasks in parallel, from a laptop through to a HPC cluster.

It is being developed to support projects and workflow standarisation at the Irish Centre for High End Computing (ICHEC).

There are many libraries like this, this one focuses on:

  • being small and simple - easy for ICHEC researchers to understand all elements of it
  • having low dependencies - can be installed with pip
  • having an easy to use configuration format with yaml
  • having verbose and structured reporting of task related metadata for analysis

Features

The library allows a few different ways to specify tasks.

  1. As a Python package

You can create a collection of Task instances and launch them with the session.run() function.

  1. Using a tasklist.dat file and the command line interface (CLI):
ictasks taskfarm --tasklist $PATH_TO_TASKLIST

See the test/data/tasklist.dat file for an example input with two small tasks.

  1. Using a yaml config file, giving task and environment info.
environment:
    job_id: my_job
    workers:
        cores_per_node: 1

tasks:
    items:
    - id: 0
      launch_cmd: "echo 'hello from task 0'"
    - id: 1
      launch_cmd: "echo 'hello from task 1'"

we can run this with:

ictasks taskfarm --config my_config.yaml

Launching the run will launch the task in that directory and output a status file task.json. By default all processors on the machine (or compute node) will be assigned tasks.

Installing

The package can be installed from PyPI:

pip install ictasks

Contact

Our Gitlab hosting arrangement doesn't allow us to easily accept external contributions or feedback, however they are still welcome.

In future if there is interest

If you have any feedback on this library

License

This package is Coypright of the Irish Centre for High End Computing. It can be used under the terms of the GNU Public License (GPL v3+). See the included LICENSE.txt file for details.

If you are an ICHEC collaborator or user of the National Service different licensing terms can be offered - please get in touch to discuss.

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

ictasks-0.2.1.tar.gz (27.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ictasks-0.2.1-py3-none-any.whl (29.3 kB view details)

Uploaded Python 3

File details

Details for the file ictasks-0.2.1.tar.gz.

File metadata

  • Download URL: ictasks-0.2.1.tar.gz
  • Upload date:
  • Size: 27.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.4

File hashes

Hashes for ictasks-0.2.1.tar.gz
Algorithm Hash digest
SHA256 815b57434d03e9a1f40a6aef7b91563d872787c0c4bc24d6568f333e9622dd4d
MD5 5a718c6d08caaf7f125ff535b7e01e74
BLAKE2b-256 0df2b6131fe81b06060d9ef2ce6a973753b4e591b210493478177b4be59c6cbf

See more details on using hashes here.

File details

Details for the file ictasks-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: ictasks-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 29.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.4

File hashes

Hashes for ictasks-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f50cc8514e475abaf932bcde52830b28dffdf50a5c416095cffcbde395d4531c
MD5 53656ce1be8e0a5bb182394ba50a31c9
BLAKE2b-256 121b8392a51493627b98fd46e786de436697f4a2477e3d64b3cb1a362d40dbf4

See more details on using hashes here.

Supported by

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