CoEC Autumn School 2022 - Session "Interactive High-Performance Computing with Jupyter"
Document Updates
- 24.10.22, 10:00 : initial commit
General Information
- date
- 24.-27. October 2022, Sofia/Bulgaria
CoEC Combustion Autumn School 2022: Combustion theory with ML/AI applications and interactive analysis intends to present the fundamentals and current challenges in combustion, as well as to introduce the use of Machine Learning (ML) and High Performance Computing (HPC) to approach Exa-scale simulations of turbulent reacting flows. Different methodologies to enhance the computational performance of high-fidelity combustion simulations will be introduced in this school. The methods cover from node to system level performance optimisations and algorithms for combustion simulations.
This is the second training course in a series of two CoEC seasonal schools that have been planned for 2022 as part of the CoEC project. This CoEC school of combustion will allow participants to broaden their knowledge and understanding in a range of topics, including chemical kinetics in flames, soot formation in laminar, turbulent combustion, multiphase combustion of solid fuels, HPC algorithms for combustion simulation, ML and data driven modeling for turbulent reacting flows and interactive supercomputing for in-situ analysis.
Session: Interactive HPC with Jupyter
- 13:30 - 14:30
- Interactive HPC with Jupyter: Introduction and Customization
Jens Henrik Göbbert, Juelich, Germany
- Interactive HPC with Jupyter: Introduction and Customization
- 14:30 - 15:00 BREAK
- 15:00 - 16:00
- Interactive HPC with Jupyter: JupyterLab on HPC resources
- Jens Henrik Göbbert, Juelich, Germany
- 16:00 - 16:30 BREAK
- 16:30 - 17:30 Interactive HPC with Jupyter: Hands-on session
- Jens Henrik Göbbert, Juelich, German
- session materials:
- GitLab repository: https://gitlab.jsc.fz-juelich.de/jupyter4jsc/prace-2022.04-jupyter4hpc
Pre-Workshop Todos
-
Register at https://judoor.fz-juelich.de - Video-Howto (1:10)
- Click on "Register"
- Enter the email address you used to register for this event
- Click on "Send confirmation mail..."
- Open the confirmation email in your email program
- Click the confirmation link
-
Join the training project
- by following this link:
- 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:
- "coecschool22" for this training course
- Click on "Join project"
-
Please be patient
- This takes as long as the PI (Jens Henrik Göbbert) 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 - 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
-
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
-
CONGRATULATIONS - YOU ARE READY FOR THE TRAINING COURSE
Software
- JupyterLab at Jülich Supercomputing Centre
- Local installation with Anaconda (~3.5 GByte)