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(Course no. 762021 in the training programme 2021 of Forschungszentrum Jülich)
This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.
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:
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 % |
Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instance this overview), some experience in C
Scientists who want to use GPU systems with OpenACC
This course is given in English.
3 half days
27-29 October 2021, 09:00-13:00
Online
minimum 5, maximum 28
Dr. Andreas Herten, Thorsten Hater, Dr. Kaveh Haghighi-Mood, JSC;
Jiri Kraus, Markus Hrywniak, NVIDIA
Dr. Andreas Herten
Phone: +49 2461 61-1825
E-mail: a.herten@fz-juelich.de
Please register until 1 October 2021 via the form at the PRACE web site.
You can find more information on the used cookies and how you can subsequently revoke your consent in our Privacy Policy.