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MATLAB: Difference between revisions
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You will only need to run the < | You will only need to run the <code>setrpaths.sh</code> command once for each compiled binary. The <code>run_mcr_binary.sh</code> will instruct you to run it if it detects that it has not been done. | ||
= Using the MATLAB Parallel Server = <!--T:41--> | = Using the MATLAB Parallel Server = <!--T:41--> | ||
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#:<code>parallel.cluster.generic.runProfileWizard()</code> | #:<code>parallel.cluster.generic.runProfileWizard()</code> | ||
# Give these responses to the configuration wizard: | # Give these responses to the configuration wizard: | ||
#* Select | #* Select <b>Unix''' (which is usually the only choice) | ||
#* Shared location: | #* Shared location: <b>No''' | ||
#* Cluster host: | #* Cluster host: | ||
#** For Béluga: | #** For Béluga: <b>beluga.computecanada.ca''' | ||
#** For Narval: | #** For Narval: <b>narval.computecanada.ca''' | ||
#* Username (optional): Enter your Alliance username (the identity file can be set later if needed) | #* Username (optional): Enter your Alliance username (the identity file can be set later if needed) | ||
#* Remote job storage: | #* Remote job storage: <b>/scratch''' | ||
#** Keep <i>Use unique subfolders</i> checked | #** Keep <i>Use unique subfolders</i> checked | ||
#* Maximum number of workers: | #* Maximum number of workers: <b>960''' | ||
#* Matlab installation folder for workers: both local and remote versions must match: | #* Matlab installation folder for workers: both local and remote versions must match: | ||
#** For local R2022a: | #** For local R2022a: <b>/cvmfs/restricted.computecanada.ca/easybuild/software/2020/Core/matlab/2022a''' | ||
#* License type: | #* License type: <b>Network license manager''' | ||
#* Profile Name: | #* Profile Name: <b>beluga''' or <b>narval''' | ||
# Click on <i>Create</i> and <i>Finish</i> to finalize the profile. | # Click on <i>Create</i> and <i>Finish</i> to finalize the profile. | ||
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Then: | Then: | ||
# Open the | # Open the <b>independentSubmitFcn.m''' file; around line #117 is the line <p> <code>additionalSubmitArgs = sprintf('--ntasks=1 --cpus-per-task=%d', cluster.NumThreads);</code> </p><p> Replace this line with</p><p> <code>additionalSubmitArgs = ccSBATCH().getSubmitArgs();</code></p> | ||
# Open the | # Open the <b>communicatingSubmitFcn.m''' file; around line #126 is the line <p> <code>additionalSubmitArgs = sprintf('--ntasks=%d --cpus-per-task=%d', environmentProperties.NumberOfTasks, cluster.NumThreads);</code> </p><p> Replace this line with</p><p> <code>additionalSubmitArgs = ccSBATCH().getSubmitArgs();</code></p> | ||
# Open the | # Open the <b>communicatingJobWrapper.sh''' file; around line #20 (after the copyright statement), add the following command and adjust the module version to your local Matlab version:</p><p><code>module load matlab/2022a</code></p> | ||
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== Validation == <!--T:47--> | == Validation == <!--T:47--> | ||
<b>Do not''' use the built-in validation tool in the ''Cluster Profile Manager''. Instead, you should try the <code>TestParfor</code> example, along with a proper <code>ccSBATCH.m</code> script file: | |||
# Download and extract code samples on GitHub at https://github.com/ComputeCanada/matlab-parallel-server-samples. | # Download and extract code samples on GitHub at https://github.com/ComputeCanada/matlab-parallel-server-samples. | ||
# In MATLAB, go to the newly extracted <code>TestParfor</code> directory. | # In MATLAB, go to the newly extracted <code>TestParfor</code> directory. | ||