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PATC Training Course "GPU Programming"

(Course no. 72/2013 in the training programme of Forschungszentrum Jülich)

begin
15 Apr 2013 09:00
end
17 Apr 2013 16:30
duration
3 days
venue
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021
Instructors:
Dr. Jan Meinke, Jochen Kreutz, Peter Philippen, Willi Homberg, JSC;
Suraj Prabhakaran, GRS; Jiri Kraus, NVIDIA
Language:
This course is given in English.
Contents:

Many-core programming is a very dynamic research area. Many scientific applications have been ported to GPU architectures during the past four 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 kernels
  • Performance optimizations
  • Multi-GPU programming using MPI

Prerequisites: Knowledge in C

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

Duration:
3 days
Dates:
15-17 April 2013, 9:00 - 16:30
Venue:
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021


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