gridlib – Simulation und Visualisierung großer Datenmengen
gridlib - Simulation und Visualisierung großer Datenmengen
(Own Funds)
Project leader: ,
Start date: November 1, 2000
End date: October 30, 2003
Acronym: gridlib
Abstract:
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:
gridlib: Flexible and efficient grid management for Simulation and Visualization
ICCS 2002 (Amsterdam, April 21, 2002 - April 24, 2002)
In: Computational Science - ICCS 2002, Berlin: 2002
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A parallel, object-oriented framework for grid based simulation and scientific visualization
In: Information and Communications Technologies: Chances and Challenges, Stuttgart: 2003
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Hierarchical hybrid grids as basis for parallel numerical solution of PDE
In: Euro-Par 2003. Parallel Processing, Berlin: 2003
URL: http://link.springer.com/content/pdf/10.1007/978-3-540-45209-6_114.pdf
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Hierarchical hybrid grids: A framework for efficient multigrid on high performance architectures
(2003)
URL: https://www10.cs.fau.de/publications/reports/TechRep_2003-05.pdf
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gridlib -- A parallel, object-oriented framework for hierarchical-hybrid grid structures in technical simulation and scientific visualization
Second Joint HLRB and KONWIHR Result and Reviewing Workshop (München)
In: High Performance Computing in Science and Engineering, Heidelberg: 2004
URL: http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-0-22-32100914-0,00.html?referer=www.springer.de/cgi/svcat/search_book.pl?isbn=3-540-44326-6
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