hpc documentation - software:matlab

caviness

anonymous@undisclosed.example.com (Anonymous) — Fri, 30 Jan 2026 14:48:26 +0000

Matlab on Caviness For use on Caviness, MATLAB projects should be developed using a Desktop installation of MATLAB and then copied to Caviness to be run in batch. Here an extended MATLAB example is considered involving one simple MATLAB function, and two MATLAB scripts to execute this function in a loop, and another to execute in parallel using the Parallel Computing Toolbox.

central-licenses

anonymous@undisclosed.example.com (Anonymous) — Fri, 05 Dec 2025 14:49:29 +0000

Mathworks Products The following table represents the number of tokens (licenses) for each Mathworks product. Please keep in mind that the products with very few licenses, less than 10, were likely purchased by a specific research lab. This means although the products are available from the license server, all or many of the tokens may be constantly checked out or in-use.

darwin

anonymous@undisclosed.example.com (Anonymous) — Fri, 30 Jan 2026 14:48:49 +0000

Matlab on DARWIN For use on DARWIN, MATLAB projects should be developed using a Desktop installation of MATLAB and then copied to DARWIN to be run in batch. Here, an extended MATLAB example involves one simple MATLAB function, two MATLAB scripts to execute this function in a loop, and another to execute in parallel using the Parallel Computing Toolbox.

farber

anonymous@undisclosed.example.com (Anonymous) — Tue, 27 Apr 2021 20:21:09 +0000

Matlab on Farber For use on Farber, MATLAB projects should be developed using a Desktop installation of MATLAB and then copied to Farber to be run in batch. Here an extended MATLAB example is considered involving one simple MATLAB function, and two MATLAB scripts to execute this function in a loop, and another to execute in parallel using the Parallel Toolbox.

interactive

anonymous@undisclosed.example.com (Anonymous) — Tue, 24 Oct 2017 01:22:11 +0000

Interactive MATLAB tips Starting MATLAB in command line mode or running scripts on a Compute node. All MATLAB sessions should be run from the compute nodes. * cd -- change to your Matlab directory. * workgroup -- activate your workgroup. *

interactivetips

anonymous@undisclosed.example.com (Anonymous) — Thu, 29 Aug 2019 18:31:44 +0000

Interactive Job tips for MATLAB All MATLAB sessions should be run from the compute nodes. * cd -- change to your Matlab directory. * workgroup -- activate your workgroup. * Logon to an available compute node by using the appropriate job scheduler command

matlab

anonymous@undisclosed.example.com (Anonymous) — Fri, 30 Jan 2026 14:44:39 +0000

Using Matlab MATLAB® is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java™

maxnumcompthreadsgridengine

anonymous@undisclosed.example.com (Anonymous) — Thu, 29 Aug 2019 19:58:42 +0000

Setting maximum number of computational threads for GridEngine By default MATLAB tries to use all the cores on the node to to run computational threads. MATLAB runs more threads, but you can clearly identify the computational threads by the CPU time consumed, e.g., using

maxthreads

anonymous@undisclosed.example.com (Anonymous) — Tue, 24 Oct 2017 01:24:20 +0000

Setting maximum number of computational threads You default setting for MATLAB is to use all the cores on the node to to run computational threads. MATLAB runs more threads, but you can clearly identify the computational threads by the CPU time consumed, e.g., using

mills

anonymous@undisclosed.example.com (Anonymous) — Thu, 29 Aug 2019 20:05:57 +0000

Matlab on Mills On Mills, MATLAB projects should be developed using a Desktop installation of MATLAB and then copied to the cluster to be run in batch. Here we consider an extended MATLAB example involving two simple MATLAB functions, and two MATLAB scripts to execute the first function in a loop, and to using the Parallel Toolbox.

more-examples

anonymous@undisclosed.example.com (Anonymous) — Thu, 08 Feb 2018 18:24:37 +0000

$ date && qsub -l standby=1 -sync y matlab-mcr.qs && date Mon Apr 11 16:25:05 EDT 2016 Your job-array 627142.1-100:1 ("matlab-mcr.qs") has been submitted Job 627142.4 exited with exit code 0. Job 627142.5 exited with exit code 0. Job 627142.3 exited with exit code 0. Job 627142.7 exited with exit code 0. Job 627142.8 exited with exit code 0. //skipped lines Job 627142.94 exited with exit code 0. Job 627142.100 exited with exit code 0. Mon Apr 11 17:10:18 EDT 2016

shared-node

anonymous@undisclosed.example.com (Anonymous) — Tue, 27 Aug 2019 21:00:07 +0000

Computational models for running Matlab on a shared cluster By default, Matlab uses multiple computational threads. From the MATLAB R2011b documentation matlab -singleCompThread limits MATLAB to a single computational thread. By default, MATLAB makes use of the multithreading capabilities of the computer on which it is running.

sidebar

anonymous@undisclosed.example.com (Anonymous) — Mon, 06 Apr 2026 20:04:57 +0000

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two-samenode

anonymous@undisclosed.example.com (Anonymous) — Tue, 24 Oct 2017 02:29:53 +0000

Case studies Two Matlab jobs on same node * traine: The first user starts an interactive session with qlogin. The plan is to run a Matlab script, which is expected to take about 30 minutes. Thus the Matlab environment is set via VALET and the job started using nohup and nodisplay. There is a plot produced at the end of the run, but this is exported to a file. This allows