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This documentation is based on the user manual for MrHyDE that can be found under MrHyDE/doc.

MrHyDE is a Trilinos-based framework design for solving Multi-resolution Hybridized Differential Equations, thus the name MrHyDE. This state-of-the-art software framework combines lightweight interfaces to select Trilinos second-generation packages and a set custom performance portable managers to enable the solution of transient nonlinear strongly coupled multiphysics/multiscale problems with an emphasis on beyond forward simulations (BFS) capabilities e.g., large-scale PDE-constrained optimization, and basic sampling-based capabilities for uncertainty quantification, and measure-theoretic stochastic inversion. While this document is primarily aimed at new users of Trilinos/MrHyDE, there are several detailed explanations of certain components of MrHyDE that should be valuable to all users/developers.

MrHyDE does not come with a graphical user interface (GUI) and it is expected that the user/developer will be sufficiently fluent in certain high-performance computing (HPC) tools, such as CMake and C++ compilers, to compile both Trilinos and MrHyDE. A python interface is currently under development, but the functionality will be limited. MrHyDE can be packaged into a Docker or Singularity container for rapid deployment to novice or external users. The target audience for MrHyDE is computational scientists looking for a scalable simulation framework that is modular, easy to modify, well-documented, portable from laptops to exascale, and automatically enables BFS and multiscale capabilities.