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PATC training course "GPU Programming"

(Course no. 76/2014 in the training programme of Forschungszentrum Jülich)

begin
07.Apr.2014 09:00
end
09.Apr.2014 16:30
venue
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021
Target audience:
Scientists who want to use GPU systems
Contents:

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, OpenACC, 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

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

Prerequisites:
Working knowledge of C
Language:
This course is given in English.
Duration:
3 days
Date:
7- 9 April 2014, 9:00-16:30
Venue:
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021
Number of participants:
maximum 25
Instructors:
Dr. Jan Meinke, Jochen Kreutz, Peter Philippen, Dr. Andrew Adinets, Anke Zitz, JSC;
Jiri Kraus, NVIDIA
Contact:
Photo Willi Homberg
Wilhelm Homberg
Phone: +49 2461 61-2424
email: w.homberg@fz-juelich.de
Registration:

Please register until 3 April 2014 via the form at the PRACE web site:

http://events.prace-ri.eu/confRegistrationFormDisplay.py/display?confId=255

Course material
Presentations at the training course "GPU Programming" (April 2014)



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