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preCICE in the media: Feature on Science Node
preCICE (Precise Code Interaction Coupling Environment) is a coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations. Partitioned means that preCICE couples existing programs (solvers) capable of simulating a subpart of the complete physics involved in a simulation. This allows for the high flexibility that is needed to keep a decent time-to-solution for complex multi-physics scenarios.
The software offers methods for transient equation coupling, communication means, and data mapping schemes. Ready-to-use adapters for well-known commercial and open-source solvers, such as OpenFOAM, SU2, or CalculiX, are available. Adapters for in-house codes can be implemented and validated in only a few weeks.
preCICE is an open-source software under the LGPL3 license and available on GitHub.
In contrast to other coupling software, preCICE is prepared for the next generation of multi-physics simulations thanks to the following features:
Fully parallel peer-to-peer concept: Coupled solvers directly communicate with each other without requiring a central instance. All coupling operations are executed directly on the solvers’ compute resources. This enables massively parallel simulations without the coupling being the bottleneck of the overall simulation.
Pure library approach: In contrast to a framework approach, the solvers call preCICE instead of being called by the framework. This makes coupling minimally-invasive and thus easy to set up and to maintain. The preCICE API operates on a generic level, allowing highest flexibility and the implementation of new adapters in as little as approximately 30 lines of code.
Sophisticated and robust quasi-Newton coupling algorithms: They enable the partitioned realization of strongly-coupled problems, such as those observed in hemodynamic applications.
Multi coupling: preCICE allows the robust coupling of an arbitrary number of solvers to one overall simulation.