Directive-based GPU programming with OpenACC (1/1)

by Dr Andreas Herten (Jülich Supercomputing Centre (JSC)), Dr Jan Meinke (Jülich Supercomputing Centre (JSC)), Jiri Kraus (NVIDIA), Dr Kaveh Haghighi-Mood (Jülich Supercomputing Centre (JSC)), Markus Hrywniak (NVIDIA), Dr Thorsten Hater (Jülich Supercomputing Centre (JSC))

Tuesday 28 Oct 2025, 09:00 → Thursday 30 Oct 2025, 13:00 Europe/Berlin

Online

GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to the GPU. The course will cover basic aspects of GPU architectures and programming. Focus is on the usage of the directive-based OpenACC programming model which allows for portable application development. Examples of increasing complexity will be used to demonstrate optimization and tuning of scientific applications.

Topics covered will include:

- Introduction to GPU/Parallel computing
- Programming model OpenACC
- Interoperability of OpenACC with GPU libraries (like cuBLAS and cuFFT) and CUDA
- Multi-GPU Programming with MPI and OpenACC
- Tools for debugging and profiling
- Performance optimization

The course consists of lectures and interactive hands-on sessions in C or Fortran (the attendee’s choice).

Registration for the course: https://go.fzj.de/2025-gpu-openacc