JupyterHub on HPC

JupyterHub is considered an interface to an HPC system for data analysis and other computation tasks. It is a powerful tool that serves single-user Jupyter notebooks for a large number of users under an HPC environment that can be useful in a teaching-learning context. Most of the users with basic knowledge of it may understand at a high level the basic functionalities but may not know all the features. They may also have used the tool before but without understanding the HPC machine behind it. The purpose of the course is to explain to the lecturers/tutors the features and functionalities that JupyterHub can offer to improve their lectures and optimize their workflow and collaboration with the students. The target group also includes researchers trying to provide a means for communication and demonstrating research results to colleagues via Jupyter in a collaborative context.

Course Details

Title: JupyterHub on HPC
Next Session 27.10.2022, 10 a.m. – 2 p.m. (Speakers: Elias Werner, Adnan Haidar, Mariela Sanchez)
Registration: https://events.scads.ai/event/7/
Target Group: HPC Basics / HPC User
Language: English
Format: Tutorial

Agenda

Handouts

The course material (slides) will be available.

Pre-Knowledge

Participants should have basic knowledge of HPC and JupyterHub.

Post-Knowledge

Participants will be able to set up Jupyter environments using different features and functionalities for collaborative purposes as teaching. 

Contact

Check out the other trainings by ScaDS.AI Dresden/Leipzig.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut