There is a newer version of CGALThe goal of the CGAL Open Source Project is to provide easy access to efficient and reliable geometric algorithms in the form of a C++ library.
Accessing CGAL 4.14.1-foss-2019b-Python-3.7.4
To load the module for CGAL 4.14.1-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load CGAL/4.14.1-foss-2019b-Python-3.7.4
BEAR Apps Version
EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell
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 CGAL website.
This version of CGAL has a direct dependency on: Boost/1.71.0-gompi-2019b foss/2019b GMP/6.1.2-GCCcore-8.3.0 libGLU/9.0.1-GCCcore-8.3.0 Mesa/19.1.7-GCCcore-8.3.0 MPFR/4.0.2-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 Qt5/5.13.1-GCCcore-8.3.0 zlib/1.2.11-GCCcore-8.3.0
This version of CGAL is a direct dependent of: BEAR-Python-Sciences/2019b-foss-2019b-Python-3.7.4 OpenFOAM (OpenCFD Ltd)/v1912-foss-2019b OpenFOAM (The OpenFOAM Foundation)/6-foss-2019b
These versions of CGAL 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.
Last modified on 7th January 2020