There is a newer version of TrilinosThe Trilinos Project is an effort to develop algorithms and enabling technologies within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. A unique design feature of Trilinos is its focus on packages.
Accessing Trilinos 12.12.1-foss-2019b-Python-3.7.4
To load the module for Trilinos 12.12.1-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load Trilinos/12.12.1-foss-2019b-Python-3.7.4
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the Trilinos website.
This version of Trilinos has a direct dependency on: Boost.Python/1.71.0-gompi-2019b foss/2019b GLM/0.9.9.8-GCCcore-8.3.0 HDF5/1.10.5-gompi-2019b MATIO/1.5.17-GCCcore-8.3.0 netCDF/4.7.1-gompi-2019b ParMETIS/4.0.3-gompi-2019b Python/3.7.4-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4 SCOTCH/6.0.9-gompi-2019b SuiteSparse/5.6.0-foss-2019b-METIS-5.1.0 X11/20190717-GCCcore-8.3.0 yaml-cpp/0.6.3-GCCcore-8.3.0
This version of Trilinos is a direct dependent of: Peridigm/cb9979d-foss-2019b-Python-3.7.4
These versions of Trilinos are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 16th February 2021