Image Processing Reference
In-Depth Information
Chapter 31
Distributed Post-processing and Rendering
for Large-Scale Scientific Simulations
Markus Flatken, Christian Wagner and Andreas Gerndt
Abstract With the ever-increasing capacity of high performance computing (HPC)
systems, the computational simulation models become still finer and more accurate.
However, the size and complexity of the data produced poses tremendous challenges
for the visualization and analysis task. Especially when explorative approaches are
demanded, distributed and parallel post-processing architectures have to be devel-
oped in order to allow interactive human-computer interfaces. Such infrastructures
can also be exploited for the evaluation of ongoing simulation runs. The applica-
tion here ranges from online monitoring to computational steering. But also remote
and parallel rendering can be integrated into the overall setup. This chapter gives an
overview of current solutions and ongoing research activities in this domain.
31.1 Motivation
Simulations of complex dynamic systems have been made a big progress over the
last decade. Nowadays, they are not only used to merely assess and review results
from experiments but increasingly to replace them with computational simulation.
The reason for that in many domains is a continuously increasing comprehension of
how to model dynamic systems with computer algorithms. But besides robustness
and confidence in the modeling, the main basis for the success of simulations is the
availability of supercomputer systems, which makes it possible to perform very high-
resolution and complex simulations in a reasonable time. Depending on the domain,
( B ) · C. Wagner · A. Gerndt
German Aerospace Center, Lilienthalplatz 7, Braunschweig, Germany
e-mail: markus.flatken@dlr.de
C. Wagner
e-mail: christian.wagner@dlr.de
A. Gerndt
e-mail: andreas.gerndt@dlr.de
M. Flatken
 
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