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To ensure that the outcome of a MATLAB job is captured by the scheduler you can use the MATLAB try catch exit(1) end construct as shown in the example below:
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It is possible to run MATLAB parallel jobs++ on the O2 cluster using either the local cluster profile or the O2 cluster profile
(++ in order to run parallel the MATLAB scripts must contain parallel commands, such as parfor or spmd)
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This approach can be used on any of the O2 partition with the exception of the mpi partition
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.
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It is possible to configure MATLAB so that it interacts with the SLURM scheduler. 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). You can find detailed information on how to set and use the O2 MATLAB cluster profile here
Displaying MATLAB graphics from O2
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