An Agent-Based Coupling Platform for Complex Automata
Jan Hegewald,Manfred Krafczyk,Jonas Tölke,Alfons G. Hoekstra,Bastien Chopard +4 more
- 23 Jun 2008
- Vol. 5102, pp 227-233
TL;DR: A generic coupling mechanism/framework is described to reduce common problems and to facilitate the development of multiscale simulations consisting of a multitude of submodels to couple distinct computational models of science and engineering systems.
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Abstract: The ability to couple distinct computational models of science and engineering systems is still a recurring challenge when developing multiphysics applications.
The applied coupling technique is often dictated by various constraints (such as hard- and software requirements for the submodels to be coupled). This may lead to different coupling strategies/implementations in case a submodel has to be replaced in an existing coupled setup.
Additional efforts are required when it comes to multiscale coupling. At least one of the submodels has to be modified to provide a matching interface on a specific spatial and temporal scale.
In the present paper we describe a generic coupling mechanism/framework to reduce these common problems and to facilitate the development of multiscale simulations consisting of a multitude of submodels.
The resulting implementation allows the coupling of legacy as well as dedicated codes with only minor adjustments. As the system is being build upon the JADE library, our platform fully supports computations on distributed heterogeneous hardware.
We discuss the platform's capabilities by demonstrating the coupling of several cellular-automata kernels to model a coupled transport problem.
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Citations
Multiphysics simulations: Challenges and opportunities
David E. Keyes,Lois Curfman McInnes,Carol S. Woodward,William Gropp,Eric Myra,Michael Pernice,John B. Bell,Jed Brown,Alain Clo,Jeffrey M. Connors,Emil M. Constantinescu,Donald Estep,Katherine J. Evans,Charbel Farhat,Ammar Hakim,Glenn E. Hammond,Glen A. Hansen,Judith Hill,Tobin Isaac,Xiangmin Jiao,Kirk E. Jordan,Dinesh K. Kaushik,Efthimios Kaxiras,Alice Koniges,Kihwan Lee,P. Aaron Lott,Qiming Lu,John H. Magerlein,Reed M. Maxwell,Michael McCourt,Miriam Mehl,Roger P. Pawlowski,Amanda Randles,Daniel R. Reynolds,Béatrice Rivière,Ulrich Rüde,Timothy D. Scheibe,John N. Shadid,Brendan Sheehan,Mark S. Shephard,Andrew R. Siegel,Barry Smith,Xian-Zhu Tang,Cian R. Wilson,Barbara Wohlmuth +44 more
- 01 Feb 2013
TL;DR: This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.
355
The virtual cell—a candidate co-ordinator for ‘middle-out’ modelling of biological systems
Dawn Walker,Jennifer Southgate +1 more
TL;DR: It is demonstrated how cellular-based models have begun to play an important role in the development of 'middle-out' models, but with considerable potential for future development, as well as the application of the paradigm to explore multi-scale phenomena in biology.
105
Modelling the Effect of a Functional Endothelium on the Development of In-Stent Restenosis
TL;DR: The data indicate a positive correlation between the neointimal growths and strut deployment depths in the presence of a functional endothelium, in qualitative agreement with in-vivo data.
Complex Automata: Multi-scale Modeling with Coupled Cellular Automata
Alfons G. Hoekstra,Alfonso Caiazzo,Eric Lorenz,Jean-Luc Falcone,Bastien Chopard +4 more
- 01 Jan 2010
TL;DR: Can cellular Automata be used to model the inherently multi-scale processes in nature and use these models for efficient simulations on digital computers?
43
Endothelial repair process and its relevance to longitudinal neointimal tissue patterns: comparing histology with in silico modelling
Hannan Tahir,Carles Bona-Casas,Andrew J. Narracott,Javaid Iqbal,Julian Gunn,Patricia V. Lawford,Alfons G. Hoekstra +6 more
TL;DR: Comparison between in vivo and in silico results suggests that endothelial growth does not occur from the proximal and distal ends alone, but is more consistent with the assumption of a random seeding process.
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François Bousquet,Paul Davidsson,Jaime Simão Sichman +2 more
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