| Start date: | 27 May 2025, 09:00 (CEST) | Entry level: | Basic | |
| End date: | 28 May 2025, 12:30 (CEST) | Subject area: | Machine learning | |
| Location: | ONLINE (Zoom) | Topics: | Deep learning | |
| Language: | English | Target audience: | Academia, industry, public sector | |
| Price: | Free (for eligible participants) | Organizers: | EuroCC AT, CZ, DE(GCS), ME, PL, SE, SI & their supercomputing centers & NVIDIA & OpenACC |
The End-to-End AI for Science Bootcamp provides a step-by-step overview of the fundamentals of deep neural networks, walks attendees through the hands-on experience of building and improving deep learning models using a framework that uses the fundamental laws of physics to model the behavior of complex systems (physics-informed neural networks – PINNs), and enables attendees to visualize the outputs of the trained model.
This online bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.
This bootcamp, which will be hosted virtually for two half-days on Mai 27–28, is co-organized by the Vienna Scientific Cluster (VSC), IT4Innovations National Supercomputing Center (IT4I), High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), Leibniz Supercomputing Centre (LRZ), University of Donja Gorica (UDG), Academic Computer Centre Cyfronet AGH (Cyfronet), Linköping University (LiU), Research Institutes of Sweden (RISE), HPC Vega at IZUM (IZUM), OpenACC organization, and NVIDIA for EuroCC Austria, EuroCC Czechia, EuroCC@GCS, EuroCC Montenegro, EuroCC Poland, EuroCC Sweden, and EuroCC Slovenia, all National Competence Centres for High-Performance Computing.
Please ensure you meet all prerequisites / eligibility before you apply.
Important dates
- 25 April 2025 – Application Deadline
- 06 May 2025 – Notification about Acceptance
- 26 May 2025, ??:?? – ??:?? (CEST) – Cluster Dry Run (time TBD)
- 27 May 2025, 09:00 – 12:30 (CEST) – Day 1
- 28 May 2025, 09:00 – 12:30 (CEST) – Day 2
Agenda & Content
See Agenda & Content in the left menu for a detailed timetable and course content.
Content level
Content level: Basic = (100%) + Intermediate = (0%) + Advanced = (0%)
Entry level
Basic – no prior GPU programming knowledge is required
Prerequisites
Mathematical background in differential equations, python proficiency, and familiarity with deep learning fundamentals and frameworks are required.
Target audience
Course for academia, industry, and public administration.
Course format
This course will be delivered as a LIVE ONLINE COURSE (using Zoom).
All communication will be done through Zoom, Slack, and email.
Hands-on labs
Attendees will be given access to an A100 GPU on one of the supercomputers of the organizers.
Lecturers
Event Moderator: TBD
Instructor: Niki Andreas Loppi (NVIDIA)
Teaching assistants and cluster support from the participating HPC centres:
Language
English
Date, time, and location
27.–28.05.2025, 09:00 – 12:30 CEST, LIVE ONLINE COURSE (using Zoom)
Prices and eligibility
Due to EuroCC2 regulations, generic or private email addresses cannot be accepted. Please use your official university or company email address to prove your affiliation.
This course is partly funded by the EuroCC 2 project. Therefore, the course is open for participants from academia, industry, and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.
Registration
Registration for this training event is handled by openhackathons.org through their EuroCC AI for Science Bootcamp page.
All further details
Please see the openhackathons.org event page EuroCC AI for Science Bootcamp for all further details.
Organizers
This course is jointly organized by the Vienna Scientific Cluster (VSC), IT4Innovations National Supercomputing Center (IT4I), High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), Leibniz Supercomputing Centre (LRZ), University of Donja Gorica (UDG), Academic Computer Centre Cyfronet AGH (Cyfronet), Linköping University (LiU), Research Institutes of Sweden (RISE), HPC Vega at IZUM (IZUM), OpenACC organization, and NVIDIA for EuroCC Austria, EuroCC Czechia, EuroCC@GCS, EuroCC Montenegro, EuroCC Poland, EuroCC Sweden, and EuroCC Slovenia, all National Competence Centres for High-Performance Computing.
Acknowledgements
This course is partially funded by the EuroCC 2 project.
The project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, and Türkiye.
Additional funding for the project comes from the Austrian federal ministries BMBWF and BMK.
