Browsing by Author "Bidmon, Katrin"

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Open Access
PACX-MPI
(1997) Resch, Michael; Beisel, Thomas; Berger, Holger; Bidmon, Katrin; Gabriel, Edgar; Keller, Rainer
PACX-MPI (PArallel Computer eXtension) wurde von Thomas Beisel am RUS als Tool entwickelt, um eine intel Paragon und eine CRAY Y-MP miteinander zu koppeln. Als es im Sommer 1996 darum ging zwei CRAY T3Es zu einem Metacomputer zu vernetzen griff eine Gruppe von Entwicklern auf diese erste Version von PACX-MPI zurück. Das neue Konzept für PACX-MPI sah vor, nicht mehr einen Vektorprozessor als Erweiterung zu einer parallelen Maschine zu ergänzen sondern zwei echte massiv-parallele Rechner miteinander zu koppeln.
Open Access
Processing of meshes and geometry for visualization applications
(2010) Bidmon, Katrin; Ertl, Thomas (Prof. Dr.)
The fast increase of computational power not only enables the simulation of complex non-linear and highly dynamic processes but also allows for further increase of the problem sizes and makes parameter studies with numerous simulation runs affordable. One of the often underrated consequences of this development is the resulting rampant amount of simulation data that has to be processed, analysed and evaluated accordingly. Therefore, the development of powerful and capable analysis tools likewise gains in importance with visualization playing an increasingly crucial role. The visual conditioning of data both in simulation pre- and post-processing provides intuitive and fast insight. Hence, appropriate visualizations have to be developed and, where required, tailored to the specific needs of the particular application. As in visualization applications the principal purpose is not a visually pleasing appearance itself although marvellous visual uality of course is preferable but to provide an ideal blend of data compensation and emphasis on relevant features in order to enable and support intuitive data handling and analysis. In many application fields, geometry plays a crucial role in analysis. The major contributions of this work are on the geometric aspects of visualization methods in the application fields of virtual prototyping in car industry on one hand and molecular dynamics on the other hand. In both, the challenge is to comply with application needs while satisfying the required correctness of the shape, geometry and topology in order to ensure reliable analysis support, while providing superior visual quality in interactive methods, elaborating the data characteristics without concealing relevant features. But still the focus with respect to geometry is different in both application fields. On one hand, as in the area of car prototyping, reliable geometric models are of superior importance for both robust simulation set-ups and trustable results, since the evaluation of the geometric properties of the model is the principal purpose of simulation. The simulations in this field are usually based on finite element (FE) methods, thus the visualization is mesh-based accordingly. In this thesis new methods for processing, customization and (re-)construction of geometry and geometric characteristics are presented, tailored to the specific needs of automotive pre-processing. On the other hand, as in the application field of molecular dynamics, the geometric shape of the simulation entities often is not relevant but dictates the simulation constraints and, thus, still plays an essential role in analysis tasks. Therefore, the work presented in this field emphasises the power of geometric concepts as essential foundation for data structuring and intuitive evaluation during simulation data analysis. Since the molecules themselves do not have an intrinsic shape, geometric molecular representations always entail abstraction up to a certain extent. This fact, in turn, can be exploited to create semantically expressive molecular visualizations based on very different intrinsic and geometric properties of the data. Being developed in close collaboration with scientists in the dedicated application fields, the methods presented in this thesis found their way into recent research in the case of molecular dynamics as well as into commercial application tools in the case of the finite element analysis methods.