Skip to content



MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. MATLAB features a family of add-on application-specific solutions called toolboxes. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problems. These are the toolboxes installed in NERSC MATLAB, along with the number of licenses.

  • Image Processing (2)
  • Neural Networks (1)
  • Optimization (2)
  • Distributed Computing (4)
  • Signal Processing (1)
  • Statistics (2)
  • Compiler (1)

The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects. Today, MATLAB engines incorporate the LAPACK and BLAS libraries, embedding the state of the art in software for matrix computation.

How to Use MATLAB on Cori

MATLAB is available at NERSC on Cori. The number of MATLAB licenses at NERSC is not very large (currently 16), so users should not be running a MATLAB session when it is not being actively used. If you use NX, it's particularly easy to think you've released your license when you haven't, since license checkouts persist between NX sessions.

MATLAB can be run interactively or in batch mode. MATLAB can run on a compute node with exclusive access to the full usable memory (about 120 GB on Cori Haswell nodes) by submitting a batch job to the regular queue.

Running Interactively

To run MATLAB interactively on Cori, connect with ssh -X or via NX, and do the following:

salloc  -q interactive -N 1 -c 32 -C haswell -t 30:00
module load matlab

It is also possible to run MATLAB on a Cori login node directly. Production computing should not be undertaken on login nodes, however.


For long-running or compute intensive jobs, use a batch script.

module load matlab

Batch Jobs

To run one instance of MATLAB non-intearctively through a batch job, you can use the following job script on Cori:

#SBATCH -q regular
#SBATCH -c 32
#SBATCH -C haswell
#SBATCH -t 00:30:00
cd $SLURM_SUBMIT_DIR   # optional, since this is the default behavior
module load matlab
srun -n 1 -c 32 matlab -nodisplay -r < myjob.m -logfile myjob.log

Where myjob.m is your MATLAB script.

Parallelism in MATLAB

To prepare a MATLAB cluster with 32 cores (within MATLAB) do:

cluster = parcluster('local')
cluster.NumWorkers = 32
pp = parpool('cori_cluster', 32)

Running MATLAB Parallel Commands

The following program illustrates how MATLAB parallel commands can be used on Cori. NERSC's license currently limits parallel use to a single node and the number of threads that one node supports.

% hello-world.m
pc = parcluster('local');
parpool(pc, 32);

  rank = labindex;
  fprintf(1,'Hello %d\n',rank);

For loop-level parallelism, MATLAB provides the parfor construct.

Running on many cores

For only a few cores, MATLAB will probably run parallel commands with no trouble. Running on tens of cores will require many more processes. If you find that MATLAB fails to start up a parallel pool, try increasing the limit on the number of running processes you may initiate.

ulimit -u 32000

Parallelism with the MATLAB Compiler

Another way to run MATLAB in parallel is to run multiple instances of a compiled MATLAB program. By compiling, you create a stand-alone application that doesn't need to obtain a separate license from the NERSC license server to run. See MATLAB Compiler for details.


Extensive on-line documentation is available. You may subscribe to the MATLAB Digest, a monthly e-mail newsletter by sending e-mail to