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@PHDTHESIS{Klimach:670169,
author = {Klimach, Harald},
othercontributors = {Roller, Sabine P. and Behr, Marek and Resch, Michael},
title = {{P}arallel multi-scale simulations with octrees and coupled
applications; 1st edition},
volume = {1},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Siegen},
publisher = {universi - Universitätsverlag Siegen},
reportid = {RWTH-2016-07385},
isbn = {978-3-936533-82-8},
series = {Simulation Techniques in Siegen},
pages = {1 Online-Ressource (xv, 185 Seiten) : Illustrationen,
Diagramme},
year = {2016},
note = {Auch veröffentlicht auf dem Publikationsserver der RWTH
Aachen University; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2016},
abstract = {Physical simulations often require the consideration of
many phenomena and scales. For example in aeroacoustic
problems, both, the flow generatingthe noise and the sound
wave propagation needs to be considered. This work
investigates numerical approaches to such problems on large
distributed and parallel computing systems. The coupling
framework KOP is parallelized as far as possible and to
overcome fundamental scalability limits a new framework APES
is developed. Both implementations utilize high-order
discretizations, as these allow for accurate simulations
with less degrees of freedoms than lower order methods. This
property of high-order methodsis an important feature for
modern supercomputing systems, as memory to represent
degrees of freedom in a simulation is a scarce resource. The
presented methods enable the transient simulation of
multi-scale setups but detailed resolutions still require
large amounts of computational resources. A focus is put on
the efficient utilization of modern computing systems to
address this need. Besides the scalability of the
implementations, the importance of single core optimization
and vectorization is illustrated. KOP uses discrete points
to realize the coupling and allows for the interaction
between domains with differing discretizations and solved
equation systems. Arbitrary mesh configurations are
supported and both, structuredand unstructured mesh solvers
are available in the framework. In both framworksexplicit
time integration methods are deployed to resolve the
timedependent simulations. The coupling allows for a varying
time step widthover the participating domains by a
sub-cycling method. Various conservationlaws can be solved
by the presented frameworks ranging from Maxwell’s
equations and linearized Euler equations to full
compressible Navier-Stokesequations. A fully distributed
coupling approach is developed that allows for coupling of
those in a large-scale simulation to solve, for example,
aeroacousticproblems.APES enables high-order discretizations
in the spectral regime. It involvesa fully scalable
toolchain for mesh-based simulations featuring a
meshgeneration and a post-processing tool to support the
solvers. The common foundation of these tools is an Octree
representation for the mesh, andthis work specifically
covers the generation of high-order geometry
approximationsin the developed mesh generator Seeder. This
robust mechanismworks for arbitrarily complex surfaces and
offers a practical way to tackleengineering tasks with
spectral element discretizations.},
cin = {056500 / 416010},
ddc = {620},
cid = {$I:(DE-82)056500_20140620$ / $I:(DE-82)416010_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
urn = {urn:nbn:de:hbz:82-rwth-2016-073855},
url = {https://publications.rwth-aachen.de/record/670169},
}
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