Erasmus Langer
Siegfried Selberherr
Oskar Baumgartner
Hajdin Ceric
Johann Cervenka
Siddhartha Dhar
Robert Entner
Otmar Ertl
Wolfgang Gös
Klaus-Tibor Grasser
Philipp Hehenberger
René Heinzl
Clemens Heitzinger
Andreas Hössinger
Gerhard Karlowatz
Markus Karner
Hans Kosina
Ling Li
Gregor Meller
Goran Milovanovic
Mihail Nedjalkov
Alexandre Nentchev
Roberto Orio
Vassil Palankovski
Mahdi Pourfath
Philipp Schwaha
Viktor Sverdlov
Oliver Triebl
Stephan Enzo Ungersböck
Martin-Thomas Vasicek
Stanislav Vitanov
Martin Wagner
Paul-Jürgen Wagner
Thomas Windbacher
Robert Wittmann

René Heinzl
Dipl.-Ing.
heinzl(!at)iue.tuwien.ac.at
Biography:
René Heinzl was born in Vienna, Austria, in 1977. He studied electrical engineering at the Technische Universität Wien, where he received the degree of Diplomingenieur in 2003. He joined the Institute for Microelectronics in November 2003, where he is currently working on his doctoral degree. In April 2005 he achieved first place at the doctoral competition at the EEICT in Brno. His research interests include modern programming paradigms, high performance programming techniques, data structural aspects of scientific computing, performance analysis, process simulation, solid modeling, scientific visualization, and mesh-related tasks for TCAD.

Concepts for Scientific Computing

Due to the rapid advancements in process and device technologies, the development of simulation software is becoming more and more complex. From the current point of view, one of the basic drawbacks is the absence of high-performance, robust, reusable, and freely available scientific software components in the spirit of C++'s STL or the Boost libraries. The generic scientific simulation environment (GSSE) was developed to fill this gap. During the last year, the GSSE has been developed further in the following areas. A common method of handling scientific data based on the mathematical concept of fiber bundles (Figure bottom left) is used as a data model to separate the data structures and the associated data. The so-called base space is used to model the underlying cell complex of a discretized domain; it is accompanied by set traversal mechanisms that are automatically derived from a topological specification language. On the other hand, the fiber space is attached to this base space and is equipped with algebraic properties, e.g., vector space properties.
For the base space, a topological specification language for generic data structures have been developed, where trivial and non-trivial data structures such as hypercubes (Figure bottom right) and Hopf bundles (Figure top right) can be specified easily. Applications built upon this specification language are inherently dimension and topology neutral.
Several discretization schemes, such as finite difference, finite volumes, and finite elements, were unified using concepts from algebraic topology. A multi-discretization kernel is thus available. The concepts mentioned were all integrated into the GSSE based on a library-centric application design, which means that only generic and highly reusable components were implemented. Based on these concepts, a finite element electrostatic analysis tool, a finite difference multi-level-set engine (Figure top left) including a marching tetrahedron approach, a generic Monte-Carlo engine, as well as web-applications, programming tutorials, and lecture notes have been developed.


A multi-level-set engine based on the GSSE (top left).Visualization of the Hopf bundle via stereographic projection into the three-dimensional space (top right).Structure of fiber bundles with the locality condition (bottom left). A hypercube as an example of a non-trivial data structure modeled with the GSSE (bottom right).


Home | Activities | Staff | Publications | Sponsors |Contact Us