A framework for multiscale and multiscience modeling and numerical simulations

Authors:
Bastien Chopard;Jean-Luc Falcone;Alfons G. Hoekstra;Joris Borgdorff
Affiliations:
University of Geneva, Switzerland;University of Geneva, Switzerland;University of Amsterdam, The Netherlands;University of Amsterdam, The Netherlands
Venue:
UC'11 Proceedings of the 10th international conference on Unconventional computation
Year:
2011

Citing 2
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Foundations of distributed multiscale computing: Formalization, specification, and analysis

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Abstract

The Complex Automata (CxA) methodology offers a new framework to develop multiscale and multiscience numerical simulations. The CxA approach assumes that a multiscale model can be formulated in terms of several coupled single-scale submodels. With concepts such as the scale separation map, the generic submodel execution loop and the coupling templates, one can define a multiscale modeling language which is a bridge between the application design and the computer implementation.