An Interactive Framework Based on Geometry Driven Data Distribution and Parallelisation

Vasco Varduhn, Ralf-Peter Mundani, Ernst Rank

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we present an interactive framework, which is capable of delivering access to huge amounts of data from Building Information Models (BIM) and digital terrain data by using hierarchical data structures and elaborate algorithms in an efficient multi-level fashion. This framework bridges the gap between big datasets and accurate numerical simulations by exploiting parallelisation and data distribution techniques based on the geometric information existing at various levels. By having such a framework at hand, results of numerical simulations become applicable, which take on the one hand side multi-level geometric information from a global to a fine detailed level into account, and on the other hand side can make use of auxiliary information. These auxiliary information result from the underlying product model data and give the input for simulation relevant details, such as part specific material parameters e.g. As applications of the framework, besides a scalable parallel immersive visualisation, we present the integration of a massive parallel CFD simulation following the Lattice-Boltzmann Method, a multi-scale extension of a spatial version of the Structured-Query-Language(SQL), and the coupling to a grid generation framework.
Original languageEnglish (US)
Title of host publicationWorld Congress on Engineering and Computer Science (WCECS 2011)
Number of pages6
StatePublished - 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-23
Acknowledged KAUST grant number(s): UK-c0020
Acknowledgements: This publication is based on work supported by Award No. UK-c0020, made by King Abdullah University of Science and Technology (KAUST).; Furthermore, the work in this project is supported by the International Graduate School of Science and Engineering (IGSSE) of Technische Universitat Milnchen.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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