This allows MATLAB to directly submit parallel jobs to the SLURM scheduler and enables it to leverage CPU and memory resources across different nodes (distributed memory). It is possible to configure MATLAB so that it interacts with the SLURM scheduler. MATLAB Parallel jobs using the custom O2 cluster profile If you want to run batches of parallel jobs requiring a pool of workers you should use the c.batch approach described in the O2 cluster profile session. If two or more of these jobs are dispatched at the same time they might try to read/write the same hidden files creating a conflict. MATLAB creates additional files for this type of parallel jobs using its own job indexing. Note 2: Using the local cluster profile when submitting multiple parallel jobs containing parpool based commands is not recommended.
#MATLAB 2018B VS A SERIAL#
Note 1: Several complex operations in MATLAB are already parallelized (intrinsic parallelization of libraries), if your script is serial but uses intensively these parallelized libraries you might still want to request at least 2 or 3 cores using this approach in order to retain the associated speedup performance. This approach can be used on any of the O2 partition with the exception of the mpi partition To use this approach you only need to request the desired number of cores with the slurm flag -n Ncoresįor example the following command starts a MATLAB batch job using 5 sbatch -p short -n 5 -t 1:00:00 -wrap="matlab -batch \"myfunction(my_inputs)\"" This method is ideal for parallel jobs that request ~15 cores or lessīy default MATLAB uses a local profile to start a parallel pool of workers on the same compute node where the master MATLAB process is running. (++ in order to run parallel the MATLAB scripts must contain parallel commands, such as parfor or spmd) MATLAB Parallel jobs using the default local cluster profile It is possible to run MATLAB parallel jobs++ on the O2 cluster using either the local cluster profile or the O2 cluster profile Running parallel MATLAB jobs on the O2 cluster Note that when using version 2019a or later with the flag -batch MATLAB will automatically propagate an error to the SLURM scheduler. If instead your_code fails the script will catch and print the error message and will terminate MATLAB returning a non-zero exit status which will be then recorded by the scheduler as a failed job This script will run the function your_code and if no error is detected the script will then exit with SLURM reporting a successfully completed job. % Matlab wrapper to catch and propagate a non-zero exit status Option 1: Start an interactive bash job and then start MATLABįirst start an interactive bash shell with the command srun -pty -p interactive -t 60:00 bash and then start MATLAB using the command matlab -nodesktop You can use MATLAB interactively in the O2 cluster, there are a two possibilities to do so. There are several ways to run MATLAB jobs.
#MATLAB 2018B VS A HOW TO#
For more general information on how to submit jobs on the O2 cluster, the available partitions (queues) and the most useful submission flags please review our O2 guide.
![matlab 2018b vs a matlab 2018b vs a](https://i.ytimg.com/vi/qv6Rmc5_SHk/maxresdefault.jpg)
Note: The content below is presented assuming the User is already familiar with the O2 cluster and the SLURM scheduler.
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Note that in order to start MATLAB you will first need to load the corresponding module, for example module load matlab/2017a This can be done submitting a job through the SLURM scheduler as explained in detailed below. MATLAB is a resource-intensive application, and MUST ALWAYS be run on O2's computing nodes, not the login nodes.
![matlab 2018b vs a matlab 2018b vs a](https://getintopc.today/wp-content/uploads/2021/09/MathWorks-MATLAB-2018-software.png)
1.3 Running parallel MATLAB jobs on the O2 cluster.1.2.2 How to propagate MATLAB errors to the SLURM scheduler when using version 2018b or earlier.1.1.2 Option 2: Start directly an interactive MATLAB session.1.1.1 Option 1: Start an interactive bash job and then start MATLAB.