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POSTPONED -- PRACE training course "GPU Programming with CUDA"
This course was postponed to the second half of 2020.
(Course no. 872020 in the training programme 2020 of Forschungszentrum Jülich)
- begin
- 04 May 2020 09:00
- end
- 06 May 2020 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 PRACE training course.
- Prerequisites:
- Some knowledge about Linux, e.g. make, command line editor, Linux shell, experience in C/C++
- Language:
- This course is given in English.
- Duration:
- 3 days
- Date:
- postponed to autumn 2020 (original date 4-6 May 2020, 09:00-16:30)
- 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:
- closed until the new date is set
