MATLAB
MATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages.
MATLAB is available on PSC systems for academic users. Academic users must complete the MATLAB Request form to request access to MATLAB. Once access has been granted, follow the steps below.
Non-academic users should contact help@psc.edu to discuss how they can get access to MATLAB at PSC.
Sample scripts for MATLAB use are available in directory /opt/packages/examples/matlab on Bridges and Bridges-2.
Documentation
Usage on Bridges-2
To see what versions of MATLAB are available and if there is more than one, which is the default, along with some help, type
module spider matlab
Start an interactive session
Start an interactive session on Bridges-2 using the interact command. See the Bridges-2 User Guide for information on interact.
Load the MATLAB module
Note that the module load command is case-sensitive.
module load matlab
Start MATLAB
Then start up MATLAB. You can run your MATLAB job on as many cores as the node has on which you are running. Use a command like
matlab -options < input-file > output-file
Usage on Bridges
Use –egress on the interact command
Use the --egress option to interact to ensure that your job can reach the MATLAB license server. See the Running Jobs section of the Bridges User Guide for more information on interact and its options.
For any nodes except the DGX-2, load the MATLAB module
To see which versions of MATLAB are available
module avail matlab
Start an interactive session, then load the MATLAB module. To load the default MATLAB module
module load matlab
To load a non-default version, if more than one is available, use its full name, e.g.,
module load matlab/R2018b
Then start up MATLAB. You can run your MATLAB job on as many cores as the node has on which you are running. Use a command like
matlab -options < input-file > output-file
On the DGX-2, use the supplied MATLAB Singularity container
NVIDIA provides a Docker container for MATLAB in the NVIDIA GPU Cloud site (see more information at https://www.nvidia.com/en-us/gpu-cloud/). We converted this to Singularity and provide it on Bridges for use with MATLAB on the DGX-2.
It is available at /pylon5/containers/mdl/matlab_r2019a.sif. To use MATLAB on the DGX-2, start an interactive session using a command like:
[user@login005 ~]$ interact -p GPU-AI --gres=gpu:volta32:1 --egress
Once your interactive session has started, use these commands:
[user@gpu058 ~]$ module load singularity [user@gpu058 ~]$ singularity exec /pylon5/containers/mdl/matlab_r2019a.sif matlab -c 28000@matlablic.andrew.cmu.edu
See more information on
See what toolkits are available
Once you have started MATLAB, typing
ver
lists all the installed toolkits. PSC has the PCT toolkit, which is how you can run parallel MATLAB jobs. This command also gives information on your license number, operating system, Java version, etc., which may be useful in diagnosing problems.