TY  - GEN
AU  - Meinke, Jan
AU  - Herten, Andreas
AU  - Hrywniak, Markus
AU  - Badwaik, Jayesh
AU  - Haghighi Mood, Kaveh
AU  - Morgenstern, Laura
TI  - GPU Programming Part 2: Advanced GPU Programming
M1  - FZJ-2025-05597
PY  - 2025
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 a GPU.This advanced course consists of modules providing more in-depth coverage of multi-GPU programming, modern CUDA concepts, CUDA Fortran, and portable programming models such as OpenACC and C++ parallel STL algorithms.Topics covered will include A) Advanced Multi-GPU Programming with MPI B) Advanced Multi-GPU Programming with NCCL and NVSHMEM C) Advanced and Modern CUDA Concepts (Cooperative Groups, CUDA Graphs, CUB Primitives, Modern C++ Programming) D) Kokkos E) GPU Programming with Abstractions (OpenACC, Standard Language Programming (pSTL))
T2  - JSC - as part of the Training Programme of Forschungszentrum Jülich
CY  - 7 Jul 2025 - 11 Jul 2025, Jülich / online (Germany)
Y2  - 7 Jul 2025 - 11 Jul 2025
M2  - Jülich / online, Germany
LB  - PUB:(DE-HGF)17
UR  - https://juser.fz-juelich.de/record/1049836
ER  -