[Online] Fundamentals of Accelerated Computing with CUDA C/C++

8 Sept 2025, 09:00 → 9 Sept 2025, 13:00 Europe/Berlin

Online

Fundamentals of Accelerated Computing with CUDA C/C++

Schedule & Format

• Date: 2025, Sep 8-9
• Time: 9:00 - 13:00 CE(S)T
• Location: Online via Zoom
• Language: English

 

Registered participants will receive the video conferencing link via email on the day before the course.

Further information about the course (content, learning objectives, prerequisites, certification, etc.) can be found on the course page.

This course is part of the three-event series From Zero to Multi-Node GPU Programming. Please register for each day separately:

• Fundamentals of Accelerated Computing with CUDA C/C++
• Accelerating CUDA C++ Applications with Multiple GPUs
• Scaling CUDA C++ Applications to Multiple Nodes

Instructor

Markus Velten, NHR@TUD, certified NVIDIA DLI Ambassador and Dr. Sebastian Kuckuk, NHR@FAU, certified NVIDIA DLI Ambassador.

This course is organized by Erlangen National High Performance Computing Center (NHR@FAU), NHR@TUD, and NVIDIA Deep Learning Institute (DLI).

Prices and Eligibility

This course is open and free of charge for participants affiliated with academic institutions in European Union (EU) member states and Horizon 2020-associated countries.

Registration

Please register at the bottom of this page. Registration is open until a few days before the course starts, or until the course is fully booked.

Withdrawal Policy

Please only register if you are committed to attending the course. No-shows will be blacklisted and excluded from future events.

If you need to withdraw your registration, please either cancel it directly through the registration system or send an email to sebastian.kuckuk@fau.de.

Wait List

If the course reaches its maximum capacity, you can request to join the wait list by sending an email to sebastian.kuckuk@fau.de. Please include your name and university affiliation in the message.

Additional Courses

You can find an up-to-date list of all courses offered by NHR@FAU at https://hpc.fau.de/teaching/tutorials-and-courses/.