TY  - GEN
AU  - Herten, Andreas
AU  - Kraus, Jiri
AU  - Kreuzer, Anke
TI  - Introduction to GPU Programming using OpenACC
M1  - FZJ-2017-07755
PY  - 2017
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 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.
T2  - Trainingsprogramm 2017 des Forschungszentrums Jülich
CY  - 16 Oct 2017 - 17 Oct 2017, Jülich (Germany)
Y2  - 16 Oct 2017 - 17 Oct 2017
M2  - Jülich, Germany
LB  - PUB:(DE-HGF)17
UR  - https://juser.fz-juelich.de/record/840201
ER  -