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.

The program is rounded off with optional consultancy hours, which will provide the attendees with additional opportunities to discuss their research challenges in specificity with Science IT consultants.

Allgemeine Informationen

Dauer	6 hours

Inhalt

Day 1

13:00 - Reproducibility / GitLab Structure / Basic Environment Creation
14:30 - Basics of Parallelization / GPU & Multi-GPU Usage
16:00 - Consultancy Hour

Day 2

13:00 - Monitoring, Benchmarking, & Profiling / Slurm Resource Monitoring
14:30 - (Intro to) Containers: Build your own Container / Containers vs Envs
16:00 - Consultancy Hour

Both afternoons will also include an optional consultancy hour starting at 16:00. You will receive more information (via email) about the consultancy hours before the course.

Voraussetzungen

As there are no interactive exercises, the course is welcome to anyone regardless of previous experience. However, if you have not taken any of the Science IT trainings on how to use Science IT infrastructure, we recommend doing so: https://www.zi.uzh.ch/en/teaching-and-research/science-it/helpdesk/training.html

Zielpublikum

Current users of Science IT computing services (ScienceCloud, ScienceCluster) who would like to use Science IT computing services for their research workflows.

Ziele

At the end of the workshop, participants will be able to effectively use Science IT computing services (ScienceCloud, ScienceCluster) to optimise their research workflows, using reproducible environments and containerisation.

Hinweise

The sessions on day 1 are connected, and users are encouraged to attend the 1st session (Reproducibility, etc.) if you intend on taking the 2nd (GPUs). The sessions on the second day are independent.

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	Referierende	Daten	Plätze frei	Ort
FS25-SCW-01	Routh Devin Reed Darren Plamada Andrei d’Errico Maria	29.04.2025 - 06.05.2025 (13:00 - 16:00 Uhr)	68	Online-Kurs	zur Anmeldung