Reliable mesh adaptation

Omega_h is a C++17 library that implements tetrahedron and triangle mesh adaptativity, with a focus on scalable HPC performance using (optionally) MPI and OpenMP or CUDA. It is intended to provided adaptive functionality to existing simulation codes. Mesh adaptivity allows one to minimize both discretization error and number of degrees of freedom live during the simulation, as well as enabling moving object and evolving geometry simulations. Omega_h will do this for you in a way that is fast, memory-efficient, and portable across many different architectures.

Extensions

This fork of Omega_h from https://github.com/sandialabs/omega_h v9.34.12 adds support for:

loading serial Simmetrix meshes
reverse classification, and defining tags on sets of mesh entities defined by a reverse classification relation
representing single-process mixed meshes
domains with matched/periodic entities
portability to NVIDIA, AMD and Intel GPUs via Kokkos

Installing / Getting started

For a bare minimum setup with no parallelism, you just need [CMake][0], a C++17 compiler, and preferably [ZLib][6] installed.

git clone git@github.com:SCOREC/omega_h.git
cd omega_h
cmake . -DCMAKE_INSTALL_PREFIX=/your/choice
make install

This should install Omega_h under the given prefix in a way you can access from your own CMake files using these CMake commands:

find_package(Omega_h)

target_link_libraries(myprogram Omega_h::omega_h)

Features

Omega_h provides at least the following:

Adaptation of tetrahedral and triangle meshes in parallel
Anisotropic metric field support
Given good input element quality, the output element quality is also guaranteed.
Scalable MPI parallelism
On-node parallelism via Kokkos
Fully deterministic execution
Given the same mesh, global numbering, and size field, results will be independent of parallel partitioning and ordering.