gridlib - Simulation und Visualisierung großer Datenmengen

Internally funded project


Project Details

Project leader:
Prof. Dr. Ulrich Rüde
Prof. Dr. Günther Greiner


Contributing FAU Organisations:
Lehrstuhl für Informatik 10 (Systemsimulation)
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)

Acronym: gridlib
Start date: 01/11/2000
End date: 30/10/2003


Abstract (technical / expert description):

The combination of state of the art numerical methods such as multigrid und multilevel methods with high performance computers makes it possible to tackle problem sizes in the TerraByte range. The pre- and postprocessing of such data sets are high performance computing tasks in their own right. The main aim of this project is the development of a grid management software that will provide a common platform for both simulation and visualization methods. The grid management has to support unstructured grids, distributed memory machines and solver specific data layout in memory to allow the integration of existing solvers into the grid framework.
In this project, the system simulation group investigates efficient data structures for multigrid methods on hybrid hierarchical grids, which are expected to be included in the grid framework.


Publications

Bergen, B., Hülsemann, F., & Rüde, U. (2005). Is 1.7x10^10^ Unknowns the Largest Finite Element System that Can Be Solved Today?
Hülsemann, F., Meinlschmidt, S., Bergen, B., Greiner, G., & Rüde, U. (2004). gridlib -- A parallel, object-oriented framework for hierarchical-hybrid grid structures in technical simulation and scientific visualization. In High Performance Computing in Science and Engineering (pp. 37-50). München: Heidelberg: Springer.
Hülsemann, F., & Bergen, B. (2004). Hierarchical hybrid grids: data structures and core algorithms for multigrid. Numerical Linear Algebra With Applications, 11, 279-291. https://dx.doi.org/10.1002/nla.382
Meinlschmidt, S., Hülsemann, F., Kipfer, P., Rüde, U., & Greiner, G. (2003). A parallel, object-oriented framework for grid based simulation and scientific visualization. In Information and Communications Technologies: Chances and Challenges (pp. 9-17). Stuttgart: Fraunhofer IRB Verlag.
Bergen, B., & Hülsemann, F. (2003). Hierarchical hybrid grids: A framework for efficient multigrid on high performance architectures.
Hülsemann, F., Bergen, B., & Rüde, U. (2003). Hierarchical hybrid grids as basis for parallel numerical solution of PDE. In Euro-Par 2003. Parallel Processing (pp. 840-843). Berlin: Springer.
Hülsemann, F., Kipfer, P., Rüde, U., & Greiner, G. (2002). gridlib: Flexible and efficient grid management for Simulation and Visualization. In Computational Science - ICCS 2002 (pp. 652-661). Amsterdam: Berlin: Springer-verlag.

Last updated on 2019-19-03 at 11:50