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Policies

  • Code of Conduct

Getting help

  • Getting help
  • Extended support
  • Frequently asked questions
  • Writing good support requests
  • Open Question & Answer Sessions for All Users
  • Lost, expiring or changing passwords
  • One-time-pad (OTP) / Two-factor authentication
  • Project Leader Support

Training

  • Training events
  • Questions, Answers and Feedbacks
  • Training Video Archives
  • Training materials

Getting started

  • Getting started
  • Status and maintenance of systems
  • How do I get an account?
  • Applying for computing and storage
  • File transfer
  • Editing files
  • Connecting to a system with Visual Studio Code
  • SSH
  • Common SSH errors
  • Remote Desktop
  • First R calculation

Files, storage and backup

  • NIRD
  • Storage areas on HPC clusters
  • Storage quota
  • Backup on Betzy, Fram, Saga, and NIRD
  • Data handling and storage policy
  • Optimizing storage performance

HPC usage

  • Migration to an NRIS HPC machine
  • Using shared resources responsibly
  • Running jobs
  • Login nodes:
  • Compute nodes:
  • Tuning applications
  • Running LLM Models Inside the Cluster

Compute resources

  • Overview over our machines
  • Saga
  • Fram
  • Betzy
  • LUMI

Software

  • Software module scheme
  • Installed software
  • Installing software as user
  • Application guides
  • Licence and access policies
  • EESSI

Additional services

  • Research Data Archive (NIRD RDA)
  • NIRD Toolkit
    • What is the NIRD Toolkit ?
    • Get ready to deploy a service through the NIRD Toolkit
    • Installing a package
    • Enabling persistent storage
    • Application management
    • Packages
    • Using a custom docker image to add new packages
    • Glossary
  • NIRD Service Platform
  • EasyDMP User Documentation
  • CRaaS - Course Resources as a Service

Code development and tutorials

  • Code development and tutorials
Sigma2/NRIS documentation
  • NIRD Toolkit
  • Packages

Packages

  • List of available packages:

    • Desktop VNC

    • Jupyter

    • JupyterHub

    • Deep learning tools

    • Apache Spark

    • Minio

    • RStudio

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