Training course "Introduction to GPU programming using OpenACC"
(Course no. 87/2016 in the training programme of Forschungszentrum Jülich)
Target audience: | Scientists who want to use GPU systems with OpenACC |
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: | 2 days |
Date: | 24-25 October 2016, 9:00-16:30 |
Venue: | Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a |
Number of participants: | minimum 5, maximum 25 |
Instructors: | Anne Severt, Dr. Andreas Herten, Dr. Paul Baumeister, JSC Jiri Kraus, NVIDIA |
Contact: | Dr. Andreas Herten Phone: +49 2461 61-1825 E-mail: a.herten@fz-juelich.de |
Course materials: |
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 the GPU. The course will cover basic aspects of GPU architectures and programming. Focus is on the usage of the directive-based OpenACC programming model which allows for portable application development. 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 OpenACC
- Interoperability of OpenACC with GPU libraries like CuBLAS and CuFFT
- Tools for debugging and profiling
- Performance optimization