Scientific Workflows on Science IT Infrastructure
This online workshop is designed for current users of Science IT computing services (ScienceCloud, ScienceCluster) who have previous experience with working on the command line.
The workshop will equip users with essential tips and tricks to optimise their research workflows. The course will cover topics such as reproducibility, GitLab structure, parallelisation, GPU usage, monitoring, benchmarking, and containerisation.
There will be opportunities to discuss research challenges in specificity with Science IT consultants after each session.
The materials used for the course can be found here:
https://gitlab.uzh.ch/s3it/trainings/scientific-workflows
Allgemeine Informationen
| Dauer | 6 hours |
|---|
Structure
The course is structured across 2 days; both days includes two ~1 hour sessions followed by ~15 minutes for questions and a short break.
Day 1
14:00 - Reproducibility / GitLab Structure / Basic Environment Creation15:15 - Basics of Parallelization / GPU & Multi-GPU Usage
Day 2
14:00 - Monitoring, Benchmarking, & Profiling / Slurm Resource Monitoring15:15 - (Intro to) Containers: Build your own Container / Containers vs Envs
Overall, attendance at any/all sessions is completely voluntary and welcome. Please feel free to join any/all sessions for as long as you'd like.
Kursdaten
| Code | Leitung | Daten | Plätze frei | Standort | |
|---|---|---|---|---|---|
| HS26-SCW-01 |
Routh Devin d’Errico Maria Plamada Andrei Reed Darren |
Di. 03. November 2026
(14:00 Uhr - 16:30 Uhr)
Di. 10. November 2026 (14:00 Uhr - 16:30 Uhr) |
60 | Online-Kurs | Zur Anmeldung |