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Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations

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Abstract

Current systems for enacting scientific experiments, and simulation workflows in particular, do not support multi-scale and multi-field problems if they are not coupled on the level of the mathematical model. To address this deficiency, we present an approach enabling the trial-and-error modeling and execution of multi-scale and/or multi-field simulations in a top-down and bottom-up manner which is based on the notion of choreographies. The approach defines techniques for composing data-intensive, scientific workflows in more complex simulations in a generic, domain-independent way and thus provides means for collaborative and integrated data management using the workflow/process-based paradigm. We contribute a life cycle definition of such simulations and present in detail concepts and techniques that support all life cycle phases. Furthermore, requirements on a respective software system and choreography language supporting multi-scale and/or multi-field simulations are identified, and an architecture and its realization are presented.

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Notes

  1. SimTech: http://www.iaas.uni-stuttgart.de/forschung/projects/simtech/.

  2. http://www.mcs.anl.gov/research/projects/mpi/.

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Acknowledgments

The authors would like to thank the German Research Foundation (DFG) for financial support of the project within the Cluster of Excellence in Simulation Technology (EXC 310/1) at the University of Stuttgart.

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  1. Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Universitätsstr. 38, Stuttgart, 70569, Germany

    Andreas Weiß & Dimka Karastoyanova

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  1. Andreas Weiß
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  2. Dimka Karastoyanova
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Correspondence to Andreas Weiß.

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Weiß, A., Karastoyanova, D. Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations. Computing 98, 439–467 (2016). https://doi.org/10.1007/s00607-014-0432-7

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