TY  - GEN
AU  - Herten, Andreas
AU  - Meinke, Jan
AU  - Haghighi Mood, Kaveh
AU  - Hater, Thorsten
AU  - Hrywniak, Markus
TI  - Directive-based GPU Programming with OpenACC
M1  - FZJ-2023-05225
PY  - 2023
AB  - 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.
T2  - JSC - as part of the Training Programme of Forschungszentrum Jülich
CY  - 24 Oct 2023 - 26 Oct 2023, online (Germany)
Y2  - 24 Oct 2023 - 26 Oct 2023
M2  - online, Germany
LB  - PUB:(DE-HGF)17
DO  - DOI:10.34734/FZJ-2023-05225
UR  - https://juser.fz-juelich.de/record/1019179
ER  -