%0 Generic
%A Herten, Andreas
%A Meinke, Jan
%A Haghighi Mood, Kaveh
%A Hater, Thorsten
%A Hrywniak, Markus
%T Directive-based GPU Programming with OpenACC
%M FZJ-2023-05225
%D 2023
%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 covers 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 are used to demonstrate optimization and tuning of scientific applications.
%B JSC - as part of the Training Programme of Forschungszentrum Jülich
%C 24 Oct 2023 - 26 Oct 2023, online (Germany)
Y2 24 Oct 2023 - 26 Oct 2023
M2 online, Germany
%F PUB:(DE-HGF)17
%9 Lecture
%R 10.34734/FZJ-2023-05225
%U https://juser.fz-juelich.de/record/1019179