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@MISC{Meinke:1049836,
author = {Meinke, Jan and Herten, Andreas and Hrywniak, Markus and
Badwaik, Jayesh and Haghighi Mood, Kaveh and Morgenstern,
Laura},
title = {{GPU} {P}rogramming {P}art 2: {A}dvanced {GPU}
{P}rogramming},
reportid = {FZJ-2025-05597},
year = {2025},
abstract = {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))},
month = {Jul},
date = {2025-07-07},
organization = {JSC - as part of the Training
Programme of Forschungszentrum Jülich,
Jülich / online (Germany), 7 Jul 2025
- 11 Jul 2025},
subtyp = {Other},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / 5112 - Cross-Domain
Algorithms, Tools, Methods Labs (ATMLs) and Research Groups
(POF4-511) / 5122 - Future Computing $\&$ Big Data Systems
(POF4-512) / ATML-X-DEV - ATML Accelerating Devices
(ATML-X-DEV) / BMBF 01 1H1 6013, NRW 325 – 8.03 – 133340
- SiVeGCS (DB001492)},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5112 /
G:(DE-HGF)POF4-5122 / G:(DE-Juel-1)ATML-X-DEV /
G:(DE-Juel-1)DB001492},
typ = {PUB:(DE-HGF)17},
url = {https://juser.fz-juelich.de/record/1049836},
}