PATC training course "GPU Programming"

Start
7th April 2014 07:00 AM
End
9th April 2014 14:30 PM
Location
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021

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

Target audience:

Scientists who want to use GPU systems

Contents:

 

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:

Willi Homberg

Registration:

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

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).

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Last Modified: 21.05.2022