TY  - CHAP
AU  - Vogel, Andreas
AU  - Calotoiu, Alexandru
AU  - Nägel, Arne
AU  - Reiter, Sebastian
AU  - Strube, Alexandre
AU  - Wittum, Gabriel
AU  - Wolf, Felix
TI  - Automated Performance Modeling of the UG4 Simulation Framework
VL  - 113
CY  - Cham, Switzerland
PB  - Springer International Publishing
M1  - FZJ-2016-05885
SN  - 978-3-319-40526-1
T2  - Lecture Notes in Computational Science and Engineering
SP  - 467 - 481
PY  - 2016
AB  - Many scientific research questions such as the drug diffusion through the upper part of the human skin are formulated in terms of partial differential equations and their solution is numerically addressed using grid based finite element methods. For detailed and more realistic physical models this computational task becomes challenging and thus complex numerical codes with good scaling properties up to millions of computing cores are required. Employing empirical tests we presented very good scaling properties for the geometric multigrid solver in Reiter et al. (Comput Vis Sci 16(4):151–164, 2013) using the UG4 framework that is used to address such problems. In order to further validate the scalability of the code we applied automated performance modeling to UG4 simulations and presented how performance bottlenecks can be detected and resolved in Vogel et al. (10,000 performance models per minute—scalability of the UG4 simulation framework. In: Träff JL, Hunold S, Versaci F (eds) Euro-Par 2015: Parallel processing, theoretical computer science and general issues, vol 9233. Springer, Springer, Heidelberg, pp 519–531, 2015). In this paper we provide an overview on the obtained results, present a more detailed analysis via performance models for the components of the geometric multigrid solver and comment on how the performance models coincide with our expectations.
LB  - PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000411331500021
DO  - DOI:10.1007/978-3-319-40528-5_21
UR  - https://juser.fz-juelich.de/record/820613
ER  -