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Training course "Introduction to GPU programming using OpenACC"

(Course no. 1152019 in the training programme 2019 of Forschungszentrum Jülich)

28 Oct 2019 09:00
29 Oct 2019 16:30
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a

Target audience:
Scientists who want to use GPU systems with OpenACC

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).

Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instance this overview), experience in C
This course is given in English.
2 days
28-29 October 2019, 09:00-16:30
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
Number of participants:
minimum 5, maximum 25
Dr. Andreas Herten, Thorsten Hater, JSC;
Jiri Kraus, NVIDIA
Photo Dr. Andreas Herten
Dr. Andreas Herten
Phone: +49 2461 61-1825
Please register with Andreas Herten until 12 October 2019.
If you do not belong to the staff of Forschungszentrum Jülich, we need these data for registration:
Given name, name, birthday, nationality, complete home address, email address