PATC training course "GPU Programming with CUDA"
(Course no. 81/2015 in the training programme of Forschungszentrum Jülich)
Target audience: | Scientists who want to use GPU systems with CUDA |
Contents: | |
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: | Dr. Jan Meinke Phone: +49 2461 61-2315 E-mail: j.meinke@fz-juelich.de |
Registration: |
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).
Please register until 15 April 2015 via the form at the PRACE web site