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computing-basics

DUNE Computing Training for May 2023 extended to Sep. 2024

https://github.com/dune/computing-basics

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: science.org
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    Academic email domains
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.4%) to scientific vocabulary

Keywords

batch data job management simulations storage submission
Last synced: 6 months ago · JSON representation ·

Repository

DUNE Computing Training for May 2023 extended to Sep. 2024

Basic Info
Statistics
  • Stars: 0
  • Watchers: 5
  • Forks: 3
  • Open Issues: 5
  • Releases: 0
Topics
batch data job management simulations storage submission
Created almost 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing Funding License Code of conduct Citation Authors

README.md

DUNE Computing Training 2024 Update

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

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

Deep Underground Neutrino Experiment

Citation (CITATION) 

Please cite as:

Dune Collaboration: "DUNE Computing Tutorial" Version 2024.01

GitHub Events

Total
  • Issues event: 6
  • Issue comment event: 7
  • Push event: 46
  • Pull request review comment event: 1
  • Pull request review event: 10
  • Pull request event: 30
  • Fork event: 1
Last Year
  • Issues event: 6
  • Issue comment event: 7
  • Push event: 46
  • Pull request review comment event: 1
  • Pull request review event: 10
  • Pull request event: 30
  • Fork event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: 8 days
  • Total issue authors: 0
  • Total pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.08
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 9 days
  • Issue authors: 0
  • Pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.1
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • hschellman (1)
Pull Request Authors
  • hschellman (20)
  • gemmeren (1)
  • StevenCTimm (1)
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Dependencies

.github/workflows/template.yml actions
  • actions/cache v1 composite
  • actions/checkout master composite
  • actions/setup-python v2 composite
  • r-lib/actions/setup-r master composite
  • ruby/setup-ruby v1 composite
.github/workflows/website.yml actions
  • actions/cache v1 composite
  • actions/checkout master composite
  • actions/setup-python v2 composite
  • r-lib/actions/setup-r master composite
  • ruby/setup-ruby v1 composite
Gemfile rubygems
  • github-pages >= 0 development
  • webrick >= 1.6.1