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@MISC{Herten:902543,
author = {Herten, Andreas and Hater, Thorsten and Haghighi Mood,
Kaveh and Hrywniak, Markus and Kraus, Jiri},
title = {{PRACE} {T}raining {C}ourse: {D}irective-based {GPU}
programming with {O}pen{ACC}},
reportid = {FZJ-2021-04345},
year = {2021},
note = {PRACE Training Course held online.},
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 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.},
month = {Oct},
date = {2021-10-27},
organization = {online, 27 Oct 2021 - 29 Oct 2021},
subtyp = {Other},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5121 - Supercomputing $\&$ Big Data Facilities (POF4-512) /
5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / ATML-X-DEV - ATML
Accelerating Devices (ATML-X-DEV)},
pid = {G:(DE-HGF)POF4-5121 / G:(DE-HGF)POF4-5112 /
G:(DE-Juel-1)ATML-X-DEV},
typ = {PUB:(DE-HGF)17},
url = {https://juser.fz-juelich.de/record/902543},
}