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]({{ site.baseurl }}/index.html).
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
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: #computing_training_basics
Report file an issue in this repository
Maintainers of this GitHub space are:
- David DeMuth
- Heidi Schellman
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.
To cite this lesson, please consult with CITATION