PATC-Trainingskurs "GPU Programming"

15.04.2013 07:00 Uhr
17.04.2013 14:30 Uhr

(Kurs-Nr. 72/2013 im Trainingsprogramm des Forschungszentrums)


Dr. Jan Meinke, Jochen Kreutz, Peter Philippen, Willi Homberg, JSC;

Suraj Prabhakaran, GRS; Jiri Kraus, NVIDIA


Der Kurs wird auf Englisch gehalten.




3 Tage


15. - 17. April 2013, 9.00 - 16.30 Uhr


Jülich Supercomputing Centre, Ausbildungsraum 1, Geb. 16.3, R. 021

Many-core programming is a very dynamic research area. Many scientific applications have been ported to GPU architectures in recent years. We will give an introduction to CUDA, OpenCL, and multi-GPU programming using examples of increasing complexity. After introducing the basics the focus will be on optimization and tuning of scientific applications. Topics covered will include:

  • Programming models: CUDA, OpenACC, OpenCL
  • Using libraries as interface for GPU programming (e.g. Thrust)
  • Partitioning and granularity of parallel applications
  • Debugging and profiling of CUDA kernels
  • Performance optimizations
  • Multi-GPU programming using MPI

Prerequisites: Knowledge in C

This course is a PATC course (PRACE Advanced Training Centres).

Letzte Änderung: 11.04.2022