TY  - GEN
AU  - Herten, Andreas
AU  - Hater, Thorsten
AU  - Kraus, Jiri
AU  - Haghighi Mood, Kaveh
TI  - Introduction to GPU Programming using OpenACC
M1  - FZJ-2019-06781
PY  - 2019
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  - Training Programme 2019 of Forschungszentrum Jülich
CY  - 28 Oct 2019 - 29 Oct 2019, Jülich (Germany)
Y2  - 28 Oct 2019 - 29 Oct 2019
M2  - Jülich, Germany
LB  - PUB:(DE-HGF)17
UR  - https://juser.fz-juelich.de/record/868209
ER  -