MATLAB Compiler¶
MATLAB Compiler™ lets you share MATLAB® programs as standalone applications.
All applications created with MATLAB Compiler use the MATLAB Runtime, which enables royalty-free deployment to users who do not need MATLAB. You can package the runtime with the application, or have your users download it during installation.
The MATLAB website has more about MATLAB Compiler support for MATLAB and toolboxes, and a helpful video about creating standalone applications.
Example¶
How to build MATLAB standalone applications from scripts.
On Perlmutter with ThinLinc:
Copy the example below to a file in your home directory and launch MATLAB:
This example shows a matrix factorization, using a function that
performs a Cholesky decomposition. It will read data from and write
results to CSV files. This script produces an upper triangular matrix
R from the diagonal and upper triangle of matrix A, satisfying the
equation R'*R=A. A_path is the path to CSV-formatted data for A
and outpath is where R will be written to as a CSV file.
% decomposition.m
function R = decomposition(A_path, outpath)
% A_path: Path to CSV data
% A: Matrix, positive definite
% R: upper triangular matrix R from the diagonal and upper
% triangle of matrix A, satisfying the equation R'*R=A
A = csvread(A_path);
R = chol(A);
csvwrite(outpath, R)
From the command line, you can also use the MATLAB compiler as follows:
Note
You may see segmentation faults when trying to run mcc at the shell command line
when graphics are not enabled. To avoid this, you can run mcc within a
MATLAB session started with matlab -nodisplay, run it in ThinLinc, or
log in with X forwarding enabled.
After the build process is completed, execute the program with the following syntax and the needed input arguments. For this particular example, the variables are A: Matrix, positive definite and outpath: path to where results will be written:
Under
$HOME/matlab_examples/build/decomposition/for_testing if GUI was
used
or
under $HOME/matlab_examples/build if mcc was used:
Note
The MCR_ROOT variable is set by module load matlab/MCR_R2021b. It
is recommended to copy these libraries to Lustre if your
application is very I/O intensive.
The complete documentation for mcc can be found in the MATLAB documentation.