ParMETIS 4.0.3-gompi-2019b

There is a newer install of 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.

Accessing ParMETIS 4.0.3-gompi-2019b

To load the module for ParMETIS 4.0.3-gompi-2019b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load ParMETIS/4.0.3-gompi-2019b

BEAR Apps Version

2019b

Architectures

EL8-cascadelakeEL8-icelakeEL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the ParMETIS website.

Dependencies

This version of ParMETIS has a direct dependency on: gompi/2019b

Required By

This version of ParMETIS is a direct dependent of: OpenFOAM-Extend/4.1-20200408-foss-2019b-Python-2.7.16 Trilinos/12.12.1-foss-2019b-Python-3.7.4

Other 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.

Last modified on 23rd September 2020