%0 Generic
%A Herten, Andreas
%A Meinke, Jan
%A Haghighi Mood, Kaveh
%A Hater, Thorsten
%A Hrywniak, Markus
%A Morgenstern, Laura
%A Rajski, Michal
%T Directive-based GPU programming with OpenACC
%M FZJ-2025-05593
%D 2025
%X 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.
%B JSC - as part of the Training Programme of Forschungszentrum Jülich
%C 28 Oct 2025 - 30 Oct 2025, online (Germany)
Y2 28 Oct 2025 - 30 Oct 2025
M2 online, Germany
%F PUB:(DE-HGF)17
%9 Lecture
%U https://juser.fz-juelich.de/record/1049809