ParMETIS 4.0.3-gompi-2019a
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-2019a
To load the module for ParMETIS 4.0.3-gompi-2019a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load ParMETIS/4.0.3-gompi-2019a
BEAR Apps Version
Architectures
EL8-cascadelake — EL8-icelake — EL8-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/2019a
Required By
This version of ParMETIS is a direct dependent of: PETSc/3.11.1-foss-2019a
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.
| 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-foss-2018b | 2018b |
Last modified on 2nd December 2019