MATLAB-Sapelo2
Category
Other, Programming, Graphics
Program On
Sapelo2
Version
R2019b (9.7.0.1216025), R2020a (9.8.0.1451342), R2020b (9.9.0.1524771), R2021a (9.10.0.1602886)
Author / Distributor
The MathWorks (see http://www.mathworks.com)
Description
Matlab is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation.
Running Program
Also refer to Running Jobs on Sapelo2
For more information on Environment Modules on Sapelo2 please see the Lmod page.
- Version R2021a is installed in /apps/gb/MATLAB/R2021a. In order to use this version of Matlab, please first load the matlab/R2021a module with
ml matlab/R2021a
- Version R2020b is installed in /apps/gb/MATLAB/R2020b. In order to use this version of Matlab, please first load the matlab/R2020b module with
ml matlab/R2020b
- Version R2020a is installed in /apps/gb/MATLAB/R2020a. In order to use this version of Matlab, please first load the matlab/R2020a module with
ml matlab/R2020a
- Version R2019b is installed in /apps/gb/MATLAB/R2019b. In order to use this version of Matlab, please first load the matlab/R2019b module with
ml matlab/R2019b
Running Matlab interactively
Please do not run MatLab interactively on the Sapelo2 login node, instead please run it using the interactive partition
To run MatLab interactively, start an interactive session with xqlogin (with GUI) or qlogin (without GUI) and at the interactive node shell prompt start the application.
For example:
1. To run with the graphical front-end on a regular node:
xqlogin ml matlab/R2021a matlab &
2. To run without the graphical front-end on a regular node:
qlogin ml matlab/R2021a matlab -nodisplay
3. To run without the graphical front-end on a node in a different partition, e.g. in abc_p, or to request more resources (cores or memory), use for example
srun --pty -p abc_p --mem=10G --ntasks=1 --cpus-per-task=2 --time=12:00:00 --job-name=qlogin /bin/bash -l ml matlab/R2021a matlab -nodisplay
Running Matlab as a batch job
Matlab can also be run as a batch job, for example in the batch partition. To do this, first create a MatLab M-file with the MatLab commands. Then use a job submission file to submit this job to the batch partition.
Sample MatLab M-file (matrixinv.m):
n = 500; Q = orth(randn(n,n)); d = logspace(0,-10,n); A = Q*diag(d)*Q'; x = randn(n,1); b = A*x; tic, z = A\b, toc err = norm(z-x) res = norm(A*z-b)
Sample job submission script file (sub.sh) to run a serial (single-core) matlab program:
#!/bin/bash #SBATCH --job-name=myjobname #SBATCH --partition=batch #SBATCH --ntasks=1 #SBATCH --cpus-per-task=1 #SBATCH --mem=5gb #SBATCH --time=48:00:00 #SBATCH --output=%x.%j.out #SBATCH --error=%x.%j.err #SBATCH --mail-type=END,FAIL #SBATCH --mail-user=username@uga.edu cd $SLURM_SUBMIT_DIR ml matlab/R2021a matlab -nodisplay < matrixinv.m
The parameters of the job, such as the maximum wall clock time, maximum memory, email address, the number of cores per task, and the job name need to be modified appropriately.
If you are using functions, you might have to use a sample script like this:
#!/bin/bash #SBATCH --job-name=myjobname #SBATCH --partition=batch #SBATCH --ntasks=1 #SBATCH --cpus-per-task=1 #SBATCH --mem=5gb #SBATCH --time=48:00:00 #SBATCH --output=%x.%j.out #SBATCH --error=%x.%j.err #SBATCH --mail-type=END,FAIL #SBATCH --mail-user=username@uga.edu cd $SLURM_SUBMIT_DIR ml matlab/R2021a echo functionname | matlab -nodisplay -nosplash
To submit either of the two sample files sub.sh to the queue:
sbatch sub.sh
Parallel Computing - Using multiple CPU cores on a single compute node
The Parallel Computing toolbox allows a user to use many CPU cores on the same node for the job. Here is a simple example using the parfor loop with 24 Matlab workers.
Sample code psine.m
defaultProfile=parallel.defaultClusterProfile; p=parcluster(defaultProfile); p.NumWorkers=25; ppool=parpool(p,24); parfor i=1:1024 A(i) = sin(i*2*pi/1024); end p = gcp; delete(p)
Sample job submission script sub.sh
#!/bin/bash #SBATCH --job-name=myjobname #SBATCH --partition=batch #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --cpus-per-task=25 #SBATCH --mem=50gb #SBATCH --time=48:00:00 #SBATCH --output=%x.%j.out #SBATCH --error=%x.%j.err #SBATCH --mail-type=END,FAIL #SBATCH --mail-user=username@uga.edu cd $SLURM_SUBMIT_DIR ml matlab/R2021a matlab -nodisplay < psine.m
Sample job submission command
sbatch sub.sh
Note that the number that follows --cpus-per-tasks needs to match the number of matlab workers defined with NumWorkers
in the matlab code .
Parallel Computing - Using cores from one or more compute nodes
Using a Matlab client installed on your local machine to run jobs on the cluster
Documentation
Some documentation and sample files are available in /apps/gb/MATLAB/R2021a/help
Installation
Version 2021a
Installed in /apps/gb/MATLAB/R2021a.
Available toolboxes: Almost all toolboxes for which UGA has a license. For details, see the directories in /apps/gb/MATLAB/R2021a/toolbox
Version 2020b
Installed in /apps/gb/MATLAB/R2020b.
Available toolboxes: Almost all toolboxes for which UGA has a license. For details, see the directories in /apps/gb/MATLAB/R2020b/toolbox
Version 2020a
Installed in /apps/gb/MATLAB/R2020a.
Available toolboxes: Almost all toolboxes for which UGA has a license. For details, see the directories in /apps/gb/MATLAB/R2020a/toolbox
Version 2019b
Installed in /apps/gb/MATLAB/R2019b.
Available toolboxes: Almost all toolboxes for which UGA has a license. For details, see the directories in /apps/gb/MATLAB/R2019b/toolbox
System
64-bit Linux