ParMETIS
ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes.More Information
For more information visit the ParMETIS website.
Available Versions
These versions of ParMETIS are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Version | BEAR Apps Version |
---|---|
4.0.3-iompi-2021a | 2021a |
4.0.3-gompi-2023a | 2023a |
4.0.3-gompi-2022b | 2022b |
4.0.3-gompi-2022a | 2022a |
4.0.3-gompi-2019b | 2019b |
4.0.3-gompi-2019a | 2019a |
4.0.3-foss-2018b | 2018b |