Then, in your submission script ( not on the login nodes), use your binary as so: In your MATLAB ~]$ setrpaths.sh -path cosplot Making sure each MATLAB job creates a local parallel profile in a unique location of the filesystem.using Slurm options -begin or -dependency=after:JOBID to control the start time (which increases wait time in the queue).using always increasing delays (which are wasting compute time),.using random delays (which may be equal or almost equal, and still cause the corruption),.using a lock file (which may remain locked if a previous job has failed),.There are many possible technical solutions, but none is perfect: Making sure only one MATLAB job at a time will start its parpool.To fix the corrupted profile, delete the local_cluster_jobs folder when no job is running. dat file in the $HOME/.matlab/local_cluster_jobs/R* folder, which corrupts the local parallel profile used by other MATLAB jobs. There is a known issue when two (or more) parallel MATLAB jobs are initializing their parpool simultaneously: multiple new MATLAB instances are trying to read and write to the same. Running multiple parallel MATLAB jobs simultaneously See MATLAB (Linux) on the MathWorks website. However, using -nojvm may interfere with certain plotting functions.įor further information on command line options -nodisplay, -singleCompThread, Matches the number of cores you are requesting.Įach time you run MATLAB, it will create a file like java.log.12345 unless you supply the -nojvm option. You should also ensure that the size of your MATLAB parpool For instructions on using the scheduler, please see the Running jobs page.Ĭonsider the following example ~]$ sbatch matlab_slurm.slĭo not use the -singleCompThread option if you request
Important: Any significant MATLAB calculation (takes more than about 5 minutes or a gigabyte of memory) must be submitted to the scheduler.
RUN MATLAB P FILE LICENSE
To see a list of the MATLAB toolboxes available with the license and cluster you're using, you can use the following ~]$ module load ~]$ matlab -nodisplay -nojvm -batch "ver" matlab symbolic link that makes sure that the MATLAB profile and job data will be written to the /scratch space ~]$ cd ~]$ if then Please write to technical support so that we can arrange this for you.īecause the /home directory is accessible in read-only mode on some clusters' compute nodes, users should create a. This will require our technical team to get in touch with the technical people managing your license software. Next you will need to ensure that the license server on your campus is reachable by our compute nodes. Put this file in the $HOME/.licenses/ directory where the IP address and port number correspond to the values for your campus license server. Create a file similar to the following example: If you are allowed, then some technical configuration will be required. Find out who administers the MATLAB license at your institution (faculty, department) and contact them or your Mathworks account manager to know if you are allowed to use the license in this way. Otherwise, either your institution does not have a MATLAB license, does not allow its use in this way, or no arrangements have yet been made. If you get the message This version is newer than the version of the license.dat file and/or network license manager on the server machine, try an older version of MATLAB in the module load line. Be sure to run this test on each cluster on which you want to use MATLAB, since licenses may not be available everywhere.
RUN MATLAB P FILE LICENSE NUMBER
If any license number is printed, you're okay. To see if you already have access to a license, carry out the following ~]$ module load ~]$ matlab -nodisplay -nojvm -batch ~]$ Arrangements have already been made with several Canadian institutions to make this automatic. This means that we have MATLAB installed on our clusters and can allow you to access an external license to run computations on our infrastructure. 6 Using the Compiler and Runtime librariesĬompute Canada is a hosting provider for MATLAB.5 Running multiple parallel MATLAB jobs simultaneously.
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