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PATC training course "GPU Programming with CUDA"

(Course no. 81/2015 in the training programme of Forschungszentrum Jülich)

begin
20 Apr 2015 09:00
end
22 Apr 2015 16:30
venue
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
Target audience:
Scientists who want to use GPU systems with CUDA
Contents:

GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to an NVIDIA GPU. The course will cover basic aspects of GPU architectures and programming. Focus is on the usage of the parallel programming language CUDA-C which allows maximum control of NVIDIA GPU hardware. Examples of increasing complexity will be used to demonstrate optimization and tuning of scientific applications.

Topics covered will include:

  • Introduction to GPU/Parallel computing
  • Programming model CUDA
  • GPU libraries like CuBLAS and CuFFT
  • Tools for debugging and profiling
  • Performance optimizations

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

Prerequisites:
Some knowledge about Linux, e.g. make, command line editor, Linux shell, experience in C
Language:
This course is given in English.
Duration:
3 days
Date:
20-22 April 2015, 9:00-16:30
Venue:
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
Number of participants:
maximum 25
Instructors:
Dr. Jan Meinke, Jochen Kreutz, JSC;
Jiri Kraus, NVIDIA
Contact:
Photo Dr. Jan Meinke
Dr. Jan Meinke
Phone: +49 2461 61-2315
email: j.meinke@fz-juelich.de
Registration:

Please register until 15 April 2015 via the form at the PRACE web site




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