ONLINE -- PRACE training course "Directive-based GPU programming with OpenACC"
(Course no. 802020 in the training programme 2020 of Forschungszentrum Jülich)
This course is fully booked.
This course will take place as an online event. The link to the online platform will be provided to the 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).
This course is a PRACE training course.
Contents level | in hours | in % |
Beginner's contents: | 0 | 0 % |
Intermediate contents: | 4.5 | 50 % |
Advanced contents: | 4.5 | 50 % |
Community-targeted contents: | 0 | 0 % |
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:
3 half days
Date:
9-11 November 2020, 09:00-13:00
Venue:
Online
Number of Participants:
minimum 5, maximum 25
Instructors:
Dr. Andreas Herten, Thorsten Hater, JSC;
Jiri Kraus, Markus Hrywniak, NVIDIA
Contact:
Dr. Andreas Herten
Phone: +49 2461 61-1825
E-mail: a.herten@fz-juelich.de
Registration:
This course is fully booked.