TY  - CONF
AU  - Iliev, Hristo
AU  - Hermanns, Marc-André
AU  - Göbbert, Jens Henrik
AU  - Halver, René
AU  - Terboven, Christian
AU  - Mohr, Bernd
AU  - Müller, Matthias S.
TI  - Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams
VL  - 10164
CY  - Cham
PB  - Springer International Publishing
M1  - FZJ-2017-01976
SN  - 978-3-319-53861-7 (print)
T2  - Lecture Notes in Computer Science
SP  - 187 - 199
PY  - 2017
AB  - 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.
T2  - First JARA-HPC Symposium 2016
CY  - 4 Oct 2016 - 5 Oct 2016, Aachen (Germany)
Y2  - 4 Oct 2016 - 5 Oct 2016
M2  - Aachen, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1007/978-3-319-53862-4_16
UR  - https://juser.fz-juelich.de/record/827935
ER  -