Science IT: ScienceCluster base

The ScienceCluster base course is designed to introduce new users to Science IT's cluster computing service.

This course will cover the basics of logging in to the cluster, managing your files across the various storage areas, submitting jobs with parallelized components, accessing outputted results, and much more. This course benefits both researchers as well as IT coordinators that support researchers.

Make sure to have your laptop computer ready and meet the course requirements described below.

To find out more about the ScienceCluster, please see here.
Materials that can be used during the course and beyond can be found here.
 

Allgemeine Informationen

Dauer 2.5 hours
  • What is the ScienceCluster?
  • Logging in 
  • Running and monitoring jobs
  • Slurm workload manager
  • Software modules
  • Transferring and sharing data
  • Setting up python virtual environments
  • GPUs
  • Strengths and limitations
  • Open discussion (and time to discuss your intended use cases)
It is recommended to first take the Science IT - Linux Command Line course or another basic linux command line tutorial, or to have reasonable prior experience with the Bash shell.

If you already have access to the ScienceCluster you will be able to use your account for the training course. Otherwise, you will be given temporary access for the duration of the course.

Laptop computer
  • In-person course: Bring your own laptop computer to the course.
  • Online course: If not directly connected to the UZH-internal network, you will need a VPN connection to UZH in order to access the ScienceCluster. You can find more information on the UZH VPN here.
Note for Windows users: Windows 10 or newer is expected. Contact the Science IT if you have an older version.
Materials that can be used during the course and beyond can be found here.

Kursdaten

Code Referierende Daten Plätze frei Ort
HS24-SCC04 Routh Devin
Reed Darren
d’Errico Maria 		26.11.2024 (14:00 - 16:30 Uhr)
7 Online-Kurs zur Anmeldung
HS24-SCC05 Routh Devin
Reed Darren
d’Errico Maria 		28.01.2025 (14:00 - 16:30 Uhr)
18 Online-Kurs zur Anmeldung