Table of Contents
To find out which version of MATLAB is currently available on OSCER resources:
- Log into the OSCER system
- Type module avail MATLAB
- You will get a result similar to this (with the version available at the time):
Click here to see all MATLAB components and toolboxes covered under OU's license.
The following users are allowed to access MATLAB on OSCER resources:
- Active OU faculty/staff/students with valid OU Norman campus accounts are allowed use the OU-licensed MATLAB.
- Visiting scholars/researchers/professors/affiliates/etc. also qualify to use MATLAB, as long as they have valid OU Norman campus accounts during their involvement with OU. However, they are restricted to using it for OU purposes only (basically, for the reasons why they are at OU).
- Retirees are not eligible to use MATLAB.
Eligible users are granted access to MATLAB by placing them in a special group. Follow the steps below to see if you already have access to run MATLAB on OSCER resources:
Running interactively on the login nodes could negatively impact performance for other users. You are FORBIDDEN to use MATLAB interactively. This means you are not allowed to type matlab at the Unix command prompt. Instead, ALL MATLAB runs MUST be performed via the batch scheduler. We will cancel jobs running interactively on the login nodes if we determine they are causing performance issues.
Click here to learn the basics of submitting jobs on Schooner.
- Bioinformatics Toolbox
- Communications System Toolbox
- Control System Toolbox
- Curve Fitting Toolbox
- DSP System Toolbox
- Financial Toolbox
- Fuzzy Logic Toolbox
- Image Processing Toolbox
- Instrument Control Toolbox
- MATLAB Coder
- MATLAB Compiler
- MATLAB Compiler SDK
- Mapping Toolbox
- Neural Network Toolbox
- Optimization Toolbox
- Parallel Computing Toolbox
- RF Toolbox
- Robust Control Toolbox
- Signal Processing Toolbox
- Simulink Coder
- Simulink Control Design
- Statistics and Machine Learning Toolbox
- Symbolic Math Toolbox
- System Identification Toolbox
- Wavelet Toolbox
Step 1: Create a sample Matlab file called matlab_test.m and insert the following lines of code:
x = zeros(32);
x(13:20,13:20) = ones(8);
y = fft2(x);
z = real(sqrt(y.^2));
w = fftshift(z);
print -dpdf matlab_test_output.pdf;
Step 2: Create a batch submission file called matlab_batch.sh and insert the following lines of code:
module load MATLAB/2020a
matlab -nodisplay -r matlab_test
This assumes a single-threaded matlab process. If your matlab code can run multi-threaded, please request as many cores as you need with --ntasks=x instead of 1. If your code can run on all 20 or 24 cores of a node, please add "#SBATCH --exclusive" to the script above, to request the entire node, in order to avoid overloading a compute node.
Step 3: Submit the batch job by typing sbatch matlab_batch.sh
Step 4: Upon successful completion of the job, you will find three new files in your directory: matlab_output.txt, matlab_error.txt, and matlab_test_output.pdf.
Step 5: Transfer the matlab_test_output.pdf to your computer and open it (see Uploading & Downloading Files for instructions on transferring files). It should look like the image below.