From single-cell modeling to large-scale network dynamics with NEST Simulator

Getting access to cloud computing resources

• Register/Create JSC account at https://judoor.fz-juelich.de - Video-Howto (1:10)
  • Click on “Register”
  • Enter your email address
  • Click on “Send confirmation mail…”
  • Open the confirmation email in your email program
  • Click the confirmation link
• Join the training project training2422
  • by following this link: https://judoor.fz-juelich.de/projects/join/training2422
  • or by choosing this general approach - Video-Howto (1:06)
  • Login to https://judoor.fz-juelich.de
  • Scroll to section “Projects”
  • Hit the link “Join a project”
  • Enter the Project id:
    • “training2422” for this training course
  • Click on “Join project”
• Please be patient
  • This takes as long as the PI needs to respond!
  • The PI has to accept your join-request first
  • After acceptance
    • project will be listed in section “Projects”
    • systems will be listed in section “Systems”
• Sign usage agreement online - Video-Howto (1:13)
  • Login to https://judoor.fz-juelich.de
  • Scroll to section “Systems”
  • Click on “You need to sign the usage agreement to access this system”
  • Sign the usage agreement online
• Please be patient
  • This may take up to 10 minutes!
  • Your HPC accounts will now be created on the desired systems.
  • Shortly after your HPC accounts are prepared you will see
    • “jupyter-jsc” in the section “Connected Services”
• Login at https://jupyter-jsc.fz-juelich.de - Video-Howto (1:34)
  • Click on “Login”
  • Login with your new JSC account
  • If this is your first login
    • click on “Register”
    • agree to the terms of service
    • click the link in the confirmation mail
• Start the server
  • Start a new Jupyter server by clicking the + button.
  • Select JupyterLab 4.2 on the JUSUF system. Select the LoginNode partition. Use the training2422 project.
  • Once the server has started, open the notebook that you want to work on. Then, in the top right, click the text “Python 3 (ipykernel)” to select our custom kernel that has NEST and other tools installed; it is called ocns_2024_nest_nestml_kernel.