@inproceedings {INPROC-2017-35,
author = {Florian Lindner and Miriam Mehl and Benjamin Uekermann},
title = {{Radial Basis Function Interpolation for Black-Box Multi-Physics Simulations}},
booktitle = {Proceedings of the VII International Conference on Coupled Problems in Science and Engineering},
editor = {International Center for Numerical Methods in Engineering (CIMNE)},
address = {Barcelona, Spain},
publisher = {CIMNE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {50--61},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2017},
isbn = {978-84-946909-2-1},
language = {Englisch},
cr-category = {G.1.1 Numerical Analysis Interpolation},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2017-35/INPROC-2017-35.pdf},
contact = {florian.lindner@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-35&engl=0}
}
@inproceedings {INPROC-2016-53,
author = {Dirk Pfl{\"u}ger and Miriam Mehl and Julian Valentin and Florian Lindner and David Pfander and Stefan Wagner and Daniel Graziotin and Yang Wang},
title = {{The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review}},
booktitle = {Proceedings of 2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE-HPCCSE 2016), held in conjunction with SC16, Salt Lake City, Utah},
publisher = {IEEE Computer Society; ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {26--34},
type = {Workshop-Beitrag},
month = {November},
year = {2016},
doi = {10.1109/SE-HPCCSE.2016.008},
keywords = {digital simulation; software maintenance; software portability; SLR; SSE; complex software; dynamic construction process; maintainability-portability trade-off; scalability-efficiency trade-off; simulation software engineering; systematic literature review; Computational modeling; Hardware; Mathematical model; Numerical models; Scalability; Software; Software engineering},
language = {Englisch},
cr-category = {D.2.0 Software Engineering General},
ee = {https://dx.doi.org/10.1109/SE-HPCCSE.2016.008},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-53&engl=0}
}
@inproceedings {INPROC-2015-29,
author = {Florian Lindner and Miriam Mehl and Klaudius Scheufele and Benjamin Uekermann},
title = {{A Comparison of various Quasi-Newton Schemes for Partitioned Fluid-Structure Interaction}},
booktitle = {Coupled Problems},
publisher = {ECCOMAS},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2015},
language = {Deutsch},
cr-category = {I.6 Simulation and Modeling},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {leer},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-29&engl=0}
}
@article {ART-2016-02,
author = {Hans-Joachim Bungartz and Florian Lindner and Bernhard Gatzhammer and Miriam Mehl and Klaudius Scheufele and Alexander Shukaev and Benjamin Uekermann},
title = {{preCICE – A Fully Parallel Library for Multi-Physics Surface Coupling}},
journal = {Computers \& Fluids},
publisher = {Elsevier},
pages = {1--1},
type = {Artikel in Zeitschrift},
month = {Januar},
year = {2016},
doi = {http://dx.doi.org/10.1016/j.compfluid.2016.04.003},
issn = {0045-7930},
keywords = {partitioned multi-physics; strong coupling; non-matching grids; inter-code communication; quasi-Newton; radial basis functions; high performance computing},
language = {Deutsch},
cr-category = {G.1.0 Numerical Analysis General,
D.0 Software General},
ee = {http://www.sciencedirect.com/science/article/pii/S0045793016300974},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {Abstract In the emerging field of multi-physics simulations, we often face the
challenge to establish new connections between physical fields, to add
additional aspects to existing models, or to exchange a solver for one of the
involved physical fields. If in such cases a fast prototyping of a coupled
simulation environment is required, a partitioned setup using existing codes
for each physical field is the optimal choice. As accurate models require also
accurate numerics, multi-physics simulations typically use very high grid
resolutions and, accordingly, are run on massively parallel computers. Here, we
face the challenge to combine flexibility with parallel scalability and
hardware efficiency. In this paper, we present the coupling tool preCICE which
offers the complete coupling functionality required for a fast development of a
multi-physics environment using existing, possibly black-box solvers. We hereby
restrict ourselves to bidirectional surface coupling which is too expensive to
be done via file communication, but in contrast to volume coupling still a
candidate for distributed memory parallelism between the involved solvers. The
paper gives an overview of the numerical functionalities implemented in preCICE
as well as the user interfaces, i.e., the application programming interface and
configuration options. Our numerical examples and the list of different
open-source and commercial codes that have already been used with preCICE in
coupled simulations show the high flexibility, the correctness, and the high
performance and parallel scalability of coupled simulations with preCICE as the
coupling unit.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-02&engl=0}
}
@article {ART-2015-08,
author = {Hans-Joachim Bungartz and Florian Lindner and Miriam Mehl and Benjamin Uekermann},
title = {{A plug-and-play coupling approach for parallel multi-field simulations}},
journal = {Computational Mechanics},
address = {Berlin, Heidelberg, New York},
publisher = {Springer},
volume = {55},
number = {6},
pages = {1119--1129},
type = {Artikel in Zeitschrift},
month = {Januar},
year = {2015},
isbn = {0178-7675 (ISSN print)},
isbn = {1432-0924 (ISSN online)},
isbn = {10.1007/s00466-014-1113-2 (DOI)},
language = {Englisch},
cr-category = {J.2 Physical Sciences and Engineering},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2015-08/ART-2015-08.pdf,
http://link.springer.com/article/10.1007/s00466-014-1113-2},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {For multi-field simulations involving a larger number of different physical
fields and in cases where the involved fields or simulation codes change due to
new modelling insigts, e.g., flexible and robust partitioned coupling schemes
are an important prerequisite to keep time-to-solution within reasonable
limits. They allow for a fast, almost plug-and-play combination of existing
established codes to the respective multi-field simulation environment. In this
paper, we study a class of coupling approaches that we originally introduced in
order to improve the parallel scalability of partitioned simulations. Due to
the symmetric structure of these coupling methods and the use of 'long' vectors
of coupling data comprising the input and output of all involved codes at a
time, they turn out to be particularly suited also for simulations involving
more than two coupled fields. As standard two-field coupling schemes are not
suited for such cases as shown in our numerical results, this allows the
simulation of a new range of applications in a partitioned way.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2015-08&engl=0}
}
@inbook {INBOOK-2016-06,
author = {Hans-Joachim Bungartz and Florian Lindner and Mehl Miriam and Klaudius Scheufele and Alexander Shukaev and Benjamin Uekermann},
title = {{Partitioned Fluid–Structure–Acoustics Interaction on Distributed Data: Coupling via preCICE}},
series = {Software for Exascale Computing - SPPEXA 2013-2015},
publisher = {Springer International Publishing},
pages = {239--266},
type = {Beitrag in Buch},
month = {Januar},
year = {2016},
isbn = {978-3-319-40528-5},
doi = {10.1007/978-3-319-40528-5_11},
keywords = {preCICE},
language = {Englisch},
cr-category = {D.0 Software General},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {One of the great prospects of exascale computing is to simulate chal- lenging
highly complex multi-physics scenarios with different length and time scales. A
modular approach re-using existing software for the single-physicsmodel parts
has great advantages regarding flexibility and software development costs. At
the same time, it poses challenges in terms of numerical stability and parallel
scalability. The coupling library preCICE provides communication, data mapping,
and coupling numerics for surface-coupled multi-physics applications in a
highly modular way.We recapitulate the numerical methods but focus particularly
on their parallel implementation. The numerical results for an artificial
coupling interface showa very small runtime of the coupling compared to typical
solver runtimes and a good parallel scalability on a number of cores
corresponding to amassively parallel simulation for an actual, coupled
simulation. Further results for actual application scenarios from the field of
fluid-structure-acoustic interactions are presented in the next chapter.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2016-06&engl=0}
}
@inbook {INBOOK-2015-07,
author = {David Blom and Florian Lindner and Miriam Mehl and Klaudius Scheufele and Alexander van Zuijlen},
title = {{A Review on Fast Quasi-Newton and Accelerated Fixed Point Iterations for Partitioned Fluid-Structure Interaction Simulation}},
series = {Advances in Computational Fluid-Structure Interaction},
publisher = {Springer International Publishing},
series = {Modeling and Simulation in Science, Engineering and Technology},
pages = {1--12},
type = {Beitrag in Buch},
month = {Januar},
year = {2015},
isbn = {978-3-319-40827-9},
isbn = {978-3-319-40825-5},
language = {Englisch},
cr-category = {I.6 Simulation and Modeling},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {The partitioned simulation of fluid{\^a}€“structure interactions offers great
flexibility in terms of exchanging flow and structure solver and using existing
established codes. However, it often suffers from slow convergence and limited
parallel scalability. Quasi-Newton or accelerated fixed-point iterations are a
very efficient way to solve the convergence issue. At the same time, they
stabilize and speed up not only the standard staggered fluid{\^a}€“structure
coupling iterations, but also the variant with simultaneous execution of flow
and structure solver that is fairly inefficient if no acceleration methods for
the underlying fixed-point iteration are used. In this chapter, we present a
review on combinations of iteration patterns (parallel and staggered) and of
quasi-Newton methods and compare their suitability in terms of convergence
speed, robustness, and parallel scalability. Some of these variants use the
so-called manifold mapping that yields an additional speedup by using an
approach that can be interpreted as a generalization of the multi-level idea.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2015-07&engl=0}
}
@inbook {INBOOK-2015-04,
author = {Hans-Joachim Bungartz and Harald Klimach and Verena Krupp and Florian Lindner and Miriam Mehl and Sabine Roller and Benjamin Uekermann},
title = {{Fluid-Acoustics Interaction on Massively Parallel Systems}},
series = {Recent Trends in Computational Engineering},
address = {Berlin, Heidelberg, New York},
publisher = {Springer},
series = {Lecture Notes in Computational Science and Engineering},
volume = {105},
pages = {151--165},
type = {Beitrag in Buch},
month = {Januar},
year = {2015},
isbn = {ISBN 978-3-319-22996-6},
language = {Englisch},
cr-category = {J.2 Physical Sciences and Engineering},
ee = {http://www.springer.com/us/book/9783319229966},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {To simulate fluid-acoustic interaction, we couple inviscid Euler equations in
the near-field, which is relevant for noise generation, to linearized Euler
equations in the far-field. This allows us to separate the critical scales and
treat each domain with an individual discretization. Both fields are computed
by the high-order discontinuous Galerkin solver Ateles, while we couple the
solvers at the interface by the library preCICE. We discuss a detailed
performance analysis of the coupled simulation on massively parallel systems.
Furthermore, to show the full potential of our approach, we simulate a flow
around a sphere.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2015-04&engl=0}
}