| Start date: | 29 Sep 2026, 09:00 (CEST) | Entry level: | Intermediate |
| End date: | 30 Sep 2026, 13:30 (CEST) | Subject area: | Parallel programming |
| Location: | ONLINE (Zoom) | Topics: | GPU (Multi-GPU) |
| Language: | English | Target audience: | Academia, industry, public sector |
| Price: | Free (for eligible participants) | Organizers: | ASC / EuroCC & SIDE, HLRS, JSC, LRZ & NCC-PL, Cyfronet & NVIDIA, OpenACC |
Unlock the full power of accelerated supercomputers and learn to master the techniques to scale applications across multiple GPUs and nodes.
Scaling applications to multiple GPUs across multiple nodes requires one to be adept at programming models and optimization techniques, and proficient at performing root-cause analysis using in-depth profiling to identify and minimize bottlenecks. This bootcamp covers step-by-step ways to improve application performance using cues from profilers and provides an understanding of the underlying technologies and communication topology needed to leverage powerful NVIDIA libraries to extract more performance from the system.
Please ensure you meet all prerequisites / eligibility before you apply.
Agenda & Content
See Agenda & Content in the left menu for a detailed timetable and course content.
Content level
Content level: Basic = (30%) + Intermediate = (70%) + Advanced = (0%)
Entry level
Intermediate
Prerequisites
Experience with C/C++, NVIDIA CUDA, MPI
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 during the bootcamp will be done through Zoom and Slack.
Hands-on labs
Attendees will be given access to an A100 GPU cluster for the duration of the bootcamp.
Lecturers
Event Moderator: Claudia Blaas-Schenner (ASC Research Center, TU Wien)
Instructors: Paul Graham (NVIDIA)
Teaching assistants from the participating HPC centres:
Language
English
Date, time, and location
29.09.2026, 09:00 CEST – 30.09.2026, 13:30 CEST, LIVE ONLINE COURSE (using Zoom)
Prices and eligibility
This course is partly funded by the EuroCC 3 project. Therefore, the course is open and free of charge for participants from academia, industry, and public administration from EU or EuroHPC JU member states or from countries associated to the Digital Europe Programme.
Registration
Registration for this training event is handled by Austrian Scientific Computing (ASC).
Please register with your official email address to prove your affiliation.
You will get an automatic confirmation via email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.
Following your successful registration, you will receive further information approximately 1 week before the bootcamp.
Modification, withdrawal & no-show policy
Your application is binding. Please only apply for the bootcamp if you are really going to attend.
You can update your application data or withdraw your application anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").
Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@asc.ac.at).
No-show policy: Once accepted, if you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.
Organizers
This bootcamp is co-organized by the National Competence Centres for Supercomputing in Austria (ACA), Germany (SIDE), and Poland (NCC-PL) together with their supercomputing centres Austrian Scientific Computing (ASC), High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), Leibniz Supercomputing Centre (LRZ), Academic Computer Centre Cyfronet AGH (Cyfronet), and OpenACC organization and NVIDIA.
Acknowledgements
This course is partially funded by the EuroCC 3 project.
EuroCC 3 has received funding from the European High-Performance Computing Joint Undertaking (JU) under Grant Agreement No. 101306701. The JU receives support from the European Union‘s Digital Europe Programme and Germany, Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Montenegro, the Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Türkiye, and Kosovo.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or EuroHPC Joint Undertaking. Neither the European Union nor the EuroHPC Joint Undertaking can be held responsible for them.
National co-funding for Austria was granted by Austrian Scientific Computing (ASC).
