MATLAB® is a licensed high level language and modeling toolkit. The MATLAB Compiler™ lets you share MATLAB programs as standalone applications. MATLAB Compiler is invoked with mcc. The compiler supports most toolboxes and user-developed interfaces. For more details, check the list of supported toolboxes and ineligible programs.

All applications created with MATLAB Compiler use MATLAB Compiler Runtime™ (MCR), which enables royalty-free deployment and use. We assume you have access to a machine that has MATLAB compiler because the compiler is not available on OSG Connect. MATLAB Runtime is available on OSG Connect.

Although the compiled binaries are portable, they need to have a compatible execution environment in terms of the operating system and matlab version. We recommend the compilation of the program with matlab versions 2014a, 2014b, 2015a, or 2015b and on machines with Scientific Linux version 5, 6 or 7 so that the compiled binaries are portable on OSG machines.

In this tutorial, we learn the basics of compiling MATLAB programs on a licensed linux machine and running the compiled binaries using MCR on the OSG machines.

MATLAB script: hello_world.m

Lets start with a simple MATLAB script hello_world.m that prints Hello World! to standard output.

function helloworld
    fprintf('\nHello, World!\n')


OSG connect does not have a license to use the MATLAB compiler. On a Linux machine with a MATLAB license, invoke the compiler mcc. We turn off all graphical options (-nodisplay), disable Java (-nojvm), and instruct MATLAB to run this application as a single-threaded application (-singleCompThread):

mcc -m -R -singleCompThread -R -nodisplay -R -nojvm hello_world.m

The flag -m means C language translation during compilation, and the flag -R indicates runtime options. The compilation would produce the files:

`hello_world, run_hello_world.sh, mccExcludedFiles.log` and `readme.txt`

The file hello_world is the standalone executable. The file run_hello_world.sh is MATLAB generated shell script. mccExcludedFiles.log is the log file and readme.txt contains the information about the compilation process. We just need the standalone binary file hello_world.

Running standalone binary applications on OSG

To see which releases are available on OSG:

$ ssh username@login.osgconnect.net   # login on OSG connect login node
$ module spider matlab

 matlab: matlab/R2018b

This module can be loaded directly: module load matlab/R2018b

Tutorial files

Let us say you have created the standalone binary hello_world. Transfer the file hello_world to login.osgconnect.net. Alternatively, you may also use the readily available files by invoking the tutorial command:

$ tutorial matlab-HelloWorld # Copies input and script files to the directory tutorial-matlab-HelloWorld.

This will create a directory tutorial-matlab-HelloWorld. Inside the directory, you will see the following files

hello_world             # compiled executable binary of hello_world.m
hello_world.m           # matlab program
hello_world.submit      # condor job description file
hello_world.sh          # execution script

Executing the MATLAB application binary

The compilation and execution environment need to the same. The file hello_world is a standalone binary of the matlab program hello_world.m which was compiled using MATLAB 2014b on a Linux platform. The login node and many of the worker nodes on OSG are based on Linux platform. In addition to the platform requirement, we also need to have the same MATLAB Runtime version.

Load the MATLAB runtime for 2014b version via module command. On the terminal prompt, type

$ module load matlab/R2018b

The above command sets up the environment to run the matlab/2014b runtime applications. Now execute the binary

$ ./hello_world
(would produce the following output)

Hello, World!

If you get the above output, the binary execution is successful. Next, we see how to submit the job on a remote worker machine using HTcondor.

Job execution and submission files

Let us take a look at hello_world.submit file:

Universe = vanilla                          # One OSG Connect vanilla, the preffered job universe is "vanilla"

Executable =  hello_world.sh                # Job execution file which is transffered to worker machine
transfer_input_files = hello_world          # list of file(s) need be transffered to the remote worker machine

Output = Log/job.$(Process).out⋅            # standard output 
Error =  Log/job.$(Process).err             # standard error
Log =    Log/job.$(Process).log             # log information about job execution

requirements = OSGVO_OS_STRING == "RHEL 7" && Arch == "X86_64" && HAS_MODULES == True 
queue 10                                     # Submit 10  jobs

The wrapper script hello_world.sh

set -e
module load matlab/R2018b
chmod +x hello_world

loads the correct matlab module and executes the binary.

Before we submit the job, make sure that the directory Log exists on the current working directory. Because HTcondor looks for Log directory to copy the standard output, error and log files as specified in the job description file.

From your work directory, type

$ mkdir -p Log

Absence of Log directory would send the jobs to held state.

Job submmision

We submit the job using the condor_submit command as follows

$ condor_submit hello_world.submit //Submit the condor job description file "hello_world.submit"

Now you have submitted an ensemble of 10 MATLAB jobs. Each job prints hello world on the standard output. Check the status of the submitted job,

$ condor_q username  # The status of the job is printed on the screen. Here, username is your login name.

Job outputs

The hello_world.m script sends the output to standard output. In the condor job description file, we expressed that the standard output is written on the Log/job.$(ProcessID).out. After job completion, ten output files are produced with the hello world message under the directory Log.

What's next?

Sure, it is not very exciting to print the same message on 10 output files. In the subsequent MATLAB examples, we see how to scale up MATLAB computation on HTC environment.

Getting help

For assistance or questions, please email the OSG User Support team at user-support@opensciencegrid.org or visit the help desk and community forums.


This page was updated on Apr 23, 2019 at 11:45 from tutorials/tutorial-matlab-HelloWorld/README.md.