Challenges in Advanced Computing - Multi-this and Multi-that
Decanato - Facoltà di scienze informatiche
Data d'inizio: 10 Maggio 2010
Data di fine: 11 Maggio 2010
The Faculty of Informatics is pleased to announce a seminar given by Hans-Joachim Bungartz
DATE: Monday, May 10th 2010
PLACE: USI Università della Svizzera italiana, room A13 red building (Via G. Buffi 13)
Advanced Computing is nowadays somewhat established as describing the field of dealing with large-scale simulations, and doing this beyond the classical foci of mathematical models and numerical schemes. Actually, implementing algorithms in a hardware-efficient way, managing large simulation research codes, or exploring huge sets of data produced by the latter also turned out to be crucial when striving for "insight, not numbers". As a result, the challenges are more diverse than before, some of them being expressed by a "multi-X" notion (multi-disciplinary, multi-physics, multi-dimensional, multi-scale, multi-level, multi-core, ...), and they are highly interwoven.
The first part of the presentation will provide an overview of current challenges in Advanced Computing, in particular those which are not yet at a prominent place on the agenda. In the second part, two examples from our current research activities will be presented: our PDE framework Peano, where space-filling curves are used as the general design pattern, governing grid generation, adaptive refinement, data traversal, solver construction, and parallelization; and spatially adaptive sparse grids for high-dimensional problems such as classification.
Hans-Joachim Bungartz holds the Scientific Computing chair at TUM's informatics department. At present, Hans-Joachim Bungartz serves on the editorial boards of leading journals such as Springer's Numerische Mathematik or SIAM's Journal of Scientific Computing as well as science magazines (IEEE's and AIP's Computing in Science and Engineering). His research interests are where CSE, scientific computing, and HPC meet. He works on parallel numerical algorithms, hardware-aware numerics, high-dimensional problems, and aspects of HPC software, with fields of application such as CFD, computational chemistry, or computational finance. Most of his past and present research projects have been interdisciplinary projects involving informatics, mathematics, and science or engineering.
HOST: Prof. Jürgen Schmidhuber