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@INPROCEEDINGS{Herten:867772,
author = {Herten, Andreas and Hater, Thorsten and Klijn, Wouter and
Pleiter, Dirk},
title = {{P}erformance {C}omparison for {N}euroscience {A}pplication
{B}enchmarks},
volume = {11887},
issn = {0302-9743},
address = {Heidelberg},
publisher = {Springer},
reportid = {FZJ-2019-06382},
isbn = {978-3-030-34356-9},
series = {Lecture Notes in Computer Science},
pages = {418 - 431},
year = {2019},
note = {The pre-print version of the article (mostly idently to
this version) can be found on arXiv:
https://arxiv.org/abs/1908.02702},
comment = {Lecture Notes in Computer Science},
booktitle = {Lecture Notes in Computer Science},
abstract = {Researchers within the Human Brain Project and related
projects have in the last couple of years expanded their
needs for high-performance computing infrastructures. The
needs arise from a diverse set of science challenges that
range from large-scale simulations of brain models to
processing of extreme-scale experimental data sets. The ICEI
project, which is in the process of creating a distributed
infrastructure optimised for brain research, started to
build-up a set of benchmarks that reflect the diversity of
applications in this field. In this paper we analyse the
performance of some selected benchmarks on IBM POWER8 and
Intel Skylake based systems with and without GPUs.},
month = {Jun},
date = {2019-06-16},
organization = {ISC High Performance 2019, Frankfurt
(Germany), 16 Jun 2019 - 20 Jun 2019},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / 513 - Supercomputer Facility (POF3-513) / HBP
SGA2 - Human Brain Project Specific Grant Agreement 2
(785907) / ICEI - Interactive Computing E-Infrastructure for
the Human Brain Project (800858) / SLNS - SimLab
Neuroscience (Helmholtz-SLNS)},
pid = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-513 /
G:(EU-Grant)785907 / G:(EU-Grant)800858 /
G:(DE-Juel1)Helmholtz-SLNS},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
UT = {WOS:000612971700031},
doi = {10.1007/978-3-030-34356-9_31},
url = {https://juser.fz-juelich.de/record/867772},
}