Directive-based GPU programming with OpenACC (training course, online)
Dr. Andreas Herten
(Course no. 1202024 in the training programme 2024 of Forschungszentrum Jülich)
This course will take place as an online event. The link to the streaming platform will be provided to the accepted registrants only.
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 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) and CUDA
- Multi-GPU Programming with MPI and OpenACC
- Tools for debugging and profiling
- Performance optimization
The course consists of lectures and interactive hands-on sessions in C or Fortran (the attendee’s choice).
Contents level | in hours | in % |
|---|---|---|
Beginner's contents: | 0 | 0 % |
Intermediate contents: | 6 | 50 % |
Advanced contents: | 6 | 50 % |
Community-targeted contents: | 0 | 0 % |
If you are interested in GPU Programming with OpenACC, please also have a look at the respective modules of the CUDA Course at the beginning of the year:
GPU Programming with CUDA - Basics
GPU Programming - Advanced Topics
Prerequisites:
Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instance this overview), some experience in C
Target audience:
Scientists who want to use GPU systems with OpenACC
Language:
This course is given in English.
Duration:
4 half days
Date:
29 October-1 November 2024, 09:00-13:00
Venue:
online
Number of Participants:
minimum 5, maximum 28
Instructors:
Dr. Andreas Herten, Dr. Thorsten Hater, Dr. Kaveh Haghighi-Mood, Dr. Jan Meinke, JSC;
Jiri Kraus, Markus Hrywniak, NVIDIA
Contact:
Dr. Andreas Herten
Head of ATML Accelerating Devices
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 228
Registration:
Please register until 15 October 2024 via the registration form. The registration form will be available in July.