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PATC training course "GPU Programming with CUDA"
(Course no. 93/2017 in the training programme of Forschungszentrum Jülich)
- begin
- 24 Apr 2017 09:00
- end
- 26 Apr 2017 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:
- 24-26 April 2017, 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, Dr. Andreas Herten, JSC;
Jiri Kraus, NVIDIA - Contact:
- Registration:
- Please register until 31 March 2017 via the form at the PRACE web site:
https://events.prace-ri.eu/event/566/registration/register#/register
