CUDA, as native programming model of Nividia GPUs, allows very fine-grained control over parallel execution compared to higher level programming models such as OpenMP offloading, which helps to optimize performance.
The course provides an introduction to the programming language CUDA which is used to write fast numeric algorithms for NVIDIA GPUs. Focus is on the basic usage of the language, the exploitation of the most important features of the device (massive parallel computation, shared memory) and efficient usage of the hardware to maximize performance. An overview of the available development tools and some advanced features of the language is given.
Online course Organizer: HLRS, University of Stuttgart, Germany
Nov 04, 2024 08:45
Nov 08, 2024 12:30
Online
English
Basic
Hardware Accelerators
Parallel Programming
GPU Programming
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Programming experience in any of C, C++, or Fortran. Exercises will use a Linux cluster. Therefore you should have some basic knowlegde about how to work with a Linux shell and a text editor in a shell. Resources for this could be e.g. https://ubuntu.com/tutorials/command-line-for-beginners and for an editor https://opensource.com/article/19/3/getting-started-vim. Some knowledge about parallel programming is a plus.
Learn more about course curricula and content levels.
Tobias Haas (HLRS)
After this course, participants will:
All times are local times in the central European time zone (Berlin).
Drop in to Zoom (8:45 - 9:00)
Course will take place from 9:00 - 12:30 on each day. More details will be published soon.
Day 1
Day 2
Day 3
Day 4
Day 5
Each participant will get access to all slides (PDF).
Although this is an online course, the exercises will be very interactive. Participants will work in teams of two and with shared screen on HLRS's systems.
Register via the button at the top of this page. We encourage you to register to the waiting list if the course is full. Places might become available.
Registration closes on October 06, 2024.
Our course fee includes coffee breaks (in classroom courses only).
For lists of EU and EU-associated coutries, and PRACE countries have a look at the Horizon Europe and PRACE website.
Lucienne Dettki phone 0711 685 63894, lucienne.dettki(at)hlrs.de Tobias Haas phone 0711 685 87223, tobias.haas(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
This course is provided within the framework of the bwHPC training program.
See the training overview and the Supercomputing Academy pages.
September 23 - 25, 2024
October 23 - 25, 2024
Dresden, Germany