There is a newer version of MATLABMATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran.
Accessing MATLAB 2019b
To load the module for MATLAB 2019b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load MATLAB/2019b
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.
Running MATLAB on BlueBEAR Login Nodes
Attempts to run Matlab on a login node will lead to a licensing error, probably including one of these messages:
License checkout failed.
License Manager Error -38
The user/host has been excluded from MATLAB in the options file on the license server.
Contact your License Administrator to review the Options File.
License checkout failed.
License Manager Error -96
Unable to connect to the license server.
Make sure that the client machine can communicate with the hostname listed in the SERVER line of the license file, and that the port listed in the SERVER line is not blocked by a firewall.
MATLAB on BEAR includes a suite of toolboxes provided by MathWorks.
The full list of installed toolboxes can be accessed by running the following command from within MATLAB:
Parallel MATLAB Jobs
To start a parallel pool of workers with the resources requested on a node use:
pc = parcluster('local')
pc.JobStorageLocation = getenv('TMPDIR')
This sets up a MATLAB parallel pool of the size of the cores available and sets the job information location to a temporary directory, to stop multiple job from conflicting with each other. Before starting MATLAB you should create a per-job temporary directory to use - so that the parallel pool temporary files do not conflict with other jobs.
For more information visit the MATLAB website.
This version of MATLAB has a direct dependency on: Java/1.8
These versions of MATLAB 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 October 2019