% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@CONFERENCE{Herten:916417,
author = {Herten, Andreas and Kraus, Jiri and Hrywniak, Markus},
title = {10 {Y}ear {A}nniversary {W}orkshop of {NVIDIA}
{A}pplication {L}ab at {J}ülich},
school = {JSC},
reportid = {FZJ-2022-06217},
year = {2022},
abstract = {10 years ago, NVIDIA and JSC entered a collaboration called
"NVIDIA Application Lab at Jülich" to enable applications
for GPUs and improve GPU utilization.Since then, we worked
together with many applications, optimizing various aspects
of device usage, first on machines with few HPC GPUs, and
finally on Europe's fastest supercomputer, with more than
3500 GPUs.In the 10 years anniversary workshop, we would
like to look back by sharing results from application
projects; and we would like to look forward, seeing what is
on the horizon for GPUs.},
month = {Jun},
date = {2022-06-21},
organization = {10 Year Anniversary Workshop of NVIDIA
Application Lab at Jülich, Jülich
(Germany), 21 Jun 2022 - 22 Jun 2022},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {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)},
pid = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5122 /
G:(DE-Juel-1)ATML-X-DEV},
typ = {PUB:(DE-HGF)5},
url = {https://juser.fz-juelich.de/record/916417},
}