ParMETIS - Parallel Graph Partitioning and Fill-reducing Matrix Ordering


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v4.0.3
  • osx-64  v4.0.3
To install this package with conda run one of the following:
conda install -c conda-forge parmetis
conda install -c conda-forge/label/gcc7 parmetis
conda install -c conda-forge/label/cf201901 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 developed in our lab.

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