PATC Training Course "GPU Programming"

Start
15th April 2013 07:00 AM
End
17th April 2013 14:30 PM
Location
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021

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

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:

 

Duration:

3 days

Dates:

15-17 April 2013, 9:00 - 16:30

Venue:

Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021

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).

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Last Modified: 20.05.2022