Training course "Introduction to GPU programming using OpenACC"

29th October 2018 08:00 AM
30th October 2018 15:30 PM
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a

(Course no. 1292018 in the training programme 2018 of Forschungszentrum Jülich)

Target audience:

Scientists who want to use GPU systems with OpenACC




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


29-30 October 2018, 09:00-16:30


Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a

Number of participants:

minimum 5, maximum 25


Dr. Andreas Herten, JSC;

Jiri Kraus, NVIDIA


Dr. Andreas Herten

Phone: +49 2461 61-1825



Please register with Andreas Herten until 13 October 2018.

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

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).

Last Modified: 20.05.2022