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FMI4cpp is a cross-platform FMI 2.0 implementation written in modern C++.
FMI4cpp supports both Co-simulation and Model Exchange.
Rationale
Packaging FMI4cpp for Spack is highly beneficial for the scientific and engineering communities that rely on model-based design and simulation. FMI4cpp is a modern C++ implementation of the Functional Mock-up Interface (FMI) 2.0 standard, which facilitates the exchange and co-simulation of dynamic models across different software tools.
FMI is an open standard that allows simulation models to be packaged into Functional Mock-up Units (FMUs). These FMUs can be shared and integrated into various simulation environments, promoting interoperability and flexibility in model-based development. The benefits of FMI include:
Tool Independence: Enables models developed in one tool to be used in another without compatibility issues.
Reusability: Encourages the reuse of models across different projects and platforms.
Collaboration: Simplifies collaboration between teams using different tools and languages.
Efficiency: Reduces duplication of effort by allowing models to be easily shared and integrated.
Description
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Additional information
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General information
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The text was updated successfully, but these errors were encountered:
Summary
FMI4cpp is a cross-platform FMI 2.0 implementation written in modern C++.
FMI4cpp supports both Co-simulation and Model Exchange.
Rationale
Packaging FMI4cpp for Spack is highly beneficial for the scientific and engineering communities that rely on model-based design and simulation. FMI4cpp is a modern C++ implementation of the Functional Mock-up Interface (FMI) 2.0 standard, which facilitates the exchange and co-simulation of dynamic models across different software tools.
FMI is an open standard that allows simulation models to be packaged into Functional Mock-up Units (FMUs). These FMUs can be shared and integrated into various simulation environments, promoting interoperability and flexibility in model-based development. The benefits of FMI include:
Tool Independence: Enables models developed in one tool to be used in another without compatibility issues.
Reusability: Encourages the reuse of models across different projects and platforms.
Collaboration: Simplifies collaboration between teams using different tools and languages.
Efficiency: Reduces duplication of effort by allowing models to be easily shared and integrated.
Description
No response
Additional information
No response
General information
The text was updated successfully, but these errors were encountered: