computing-basics-batch
A tutorial on batch job submission and monitoring for DUNE computing.
Science Score: 54.0%
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Low similarity (8.2%) to scientific vocabulary
Repository
A tutorial on batch job submission and monitoring for DUNE computing.
Basic Info
- Host: GitHub
- Owner: DUNE
- License: other
- Language: HTML
- Default Branch: gh-pages
- Homepage: https://dune.github.io/computing-basics-batch/
- Size: 4.22 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
DUNE Computing Training for Batch jobs
Batch job submission and monitoring are presented in this training.
These training materials are a work in progress and are beig developed for tutorials offered in 2025.
This repository holds the source code of the webpage that is rendered here.
This training module is part of an initiative of the DUNE Computing Consortium.
When:
2024 revisions to online version
Live versions are delivered 1-2 times/year but this document can also be worked through on your own.
Learn the basics of DUNE computing: storage spaces, data management, LArSoft, grid job submission
Live sessions
New! Lectures will be recorded. There will be hands-on, facilitated with a Q&A on a live doc. New! There will be quizzes and special sessions “expert in the room” to answer questions of beginners and not-so-beginner about their code.
How to do these tutorials.
Participants must have a valid FNAL or CERN account.
Participants must have a valid FNAL or CERN account. The Indico site will be announced is https://indico.fnal.gov/event/59762/
Apply immediately if you do not yet have accounts at either lab (info).
Questions?
Contact the organizers at: dune-computing-training@fnal.gov
New slack channel: #computingtrainingbasics
Contributing
Report file an issue in this repository
Maintainer(s)
Maintainers of this GitHub space are:
- David DeMuth
- Heidi Schellman
Authors
Lead Authors:
- Ken Horner
- Andrew McNab
- Aaron Higuera
- Elisabetta Pennacchio
A list of contributors to the lesson can be found in AUTHORS
The lesson framework utilizes the the Software Carpentry's styles template.
Citation
To cite this lesson, please consult with CITATION
Owner
- Name: DUNE
- Login: DUNE
- Kind: organization
- Website: https://www.dunescience.org/
- Repositories: 113
- Profile: https://github.com/DUNE
Deep Underground Neutrino Experiment
Citation (CITATION)
Please cite as: Dune Collaboration: "DUNE Computing Tutorial" Version 2024.01
GitHub Events
Total
- Push event: 1
- Pull request review event: 1
- Create event: 5
Last Year
- Push event: 1
- Pull request review event: 1
- Create event: 5
Dependencies
- actions/cache v2 composite
- actions/checkout master composite
- actions/setup-python v4 composite
- r-lib/actions/setup-r v1 composite
- ruby/setup-ruby v2 composite
- actions/cache v1 composite
- actions/checkout master composite
- actions/setup-python v4 composite
- r-lib/actions/setup-r v1 composite
- ruby/setup-ruby v1 composite
- github-pages >= 0 development
- webrick >= 1.6.1