TY  - GEN
AU  - Herten, Andreas
AU  - Hater, Thorsten
AU  - Haghighi Mood, Kaveh
AU  - Hrywniak, Markus
AU  - Kraus, Jiri
TI  - PRACE Training Course: Directive-based GPU programming with OpenACC
M1  - FZJ-2021-04345
PY  - 2021
N1  - PRACE Training Course held online.
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. This PRACE Training Course hosted at JSC 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.Topics covered will include: Introduction to GPU/Parallel computing; Programming model OpenACC;  Interoperability of OpenACC with GPU libraries (like cuBLAS and cuFFT) and CUDA; Multi-GPU Programming with MPI and OpenACC; Tools for debugging and profiling; Performance optimizationThe course consists of lectures and interactive hands-on sessions in C or Fortran.
Y2  - 27 Oct 2021 - 29 Oct 2021
M2  - online, 
LB  - PUB:(DE-HGF)17
UR  - https://juser.fz-juelich.de/record/902543
ER  -