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@INPROCEEDINGS{Iliev:827935,
author = {Iliev, Hristo and Hermanns, Marc-André and Göbbert, Jens
Henrik and Halver, René and Terboven, Christian and Mohr,
Bernd and Müller, Matthias S.},
title = {{P}erformance {O}ptimization of {P}arallel {A}pplications
in {D}iverse {O}n-{D}emand {D}evelopment {T}eams},
volume = {10164},
address = {Cham},
publisher = {Springer International Publishing},
reportid = {FZJ-2017-01976},
isbn = {978-3-319-53861-7 (print)},
series = {Lecture Notes in Computer Science},
pages = {187 - 199},
year = {2017},
comment = {High-Performance Scientific Computing / Di Napoli, Edoardo
(Editor) ; Cham : Springer International Publishing, 2017,
Chapter 16 ; ISSN: 0302-9743=1611-3349 ; ISBN:
978-3-319-53861-7=978-3-319-53862-4 ;
doi:10.1007/978-3-319-53862-4},
booktitle = {High-Performance Scientific Computing
/ Di Napoli, Edoardo (Editor) ; Cham :
Springer International Publishing,
2017, Chapter 16 ; ISSN:
0302-9743=1611-3349 ; ISBN:
978-3-319-53861-7=978-3-319-53862-4 ;
doi:10.1007/978-3-319-53862-4},
abstract = {Current supercomputing platforms and scientific application
codes have grown rapidly in complexity over the past years.
Multi-scale, multi-domain simulations on one hand and deep
hierarchies in large-scale computing platforms on the other
make it exceedingly harder to map the former onto the latter
and fully exploit the available computational power. The
complexity of the software and hardware components involved
calls for in-depth expertise that can only be met by
diversity in the application development teams. With its
model of simulation labs and cross-sectional groups,
JARA-HPC enables such diverse teams to form on demand to
solve concrete development problems. This work showcases the
effectiveness of this model with two application case
studies involving the JARA-HPC cross-sectional group
“Parallel Efficiency” and simulation labs and
domain-specific development teams. For one application, we
show the results of a completed optimization and the
estimated financial impact of the combined efforts. For the
other application, we present results from an ongoing
engagement, where we show how an on-demand team investigates
the behavior of dynamic load balancing schemes for an MD
particle simulation, leading to a better overall
understanding of the application and revealing targets for
further investigation.},
month = {Oct},
date = {2016-10-04},
organization = {First JARA-HPC Symposium 2016, Aachen
(Germany), 4 Oct 2016 - 5 Oct 2016},
cin = {JARA-HPC / JSC},
ddc = {004},
cid = {$I:(DE-82)080012_20140620$ / I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / ATMLPP - ATML Parallel Performance (ATMLPP)},
pid = {G:(DE-HGF)POF3-511 / G:(DE-Juel-1)ATMLPP},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
doi = {10.1007/978-3-319-53862-4_16},
url = {https://juser.fz-juelich.de/record/827935},
}