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Parfor loops cannot be nested within each other.
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To use simply replace the for loop in your code with parfor, however, there are some rules: It splits the work done in the for loop among workers to complete the work in parallel.
MATLAB'S Parallel Computing Toolbox comes with the parfor loop construction. To do this we will be using MATLAB's Parallel Computing Toolbox. These workers can be spread out across multiple nodes and cores to utilize the Research Computing resources. This mean you can get your results much faster. In MATLAB these chunks that process code in parallel are called workers. The rest of this document covers parallelization of your MATLAB code, i.e., breaking up long processes into chunks that can be processed at the same time.
If your code is supposed to run in parallel, do not include this argument it will make your code not parallel. Some functions in MATLAB will try to run in multiple threads, but this can cause issues or slow down performance so it is best to stick to one thread. Notice in the last line the option -singleCompThread, this helps to increase the performance of the MATLAB program.#Load my environment module load matlab #Run the file with no graphical display matlab -nodisplay -nosplash -singleCompThread -r "my_matlab_file" Notes If you are on SPORC this means you will have to create a small job: #!/bin/bash -l #NOTE the -l flag! #SBATCH -J matlab_example #Name of the job #Standard out and Standard error output files #SBATCH -o matlab_example_multiple.out #SBATCH -e matlab_example_multiple.err # To send emails and notify when done #SBATCH #SBATCH -mail-type=END #Set up time, partition, and memory #SBATCH -t 1:00:00 #SBATCH -p tier3 #SBATCH -mem=2000M If your MATLAB program does not need to be interactive and is too small to benefit from making it run with parallel code, it can be run from the command line. Launch MATLAB by running: matlab -nodisplay -nosplash.Create a sinteractive job by running: sinteractive.If your MATLAB program needs to be interactive you need to run it through a sinteractive job. MATLAB is too intensive to be run on head node of SPORC, i.e., where you are as soon as you log into sporcsubmit.rc.rit.edu. Load the MATLALB module: module load matlab.The only place to run MATLAB with a GUI is by connecting to our system through FastX. This is for programs that require interaction or are too small to benefit from parallel computing. The following instructions are for running MATLAB without any parallel code.
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In this document we will cover how to run MATLAB with and without parallel code. Here is MATLAB's official interactive, online tutorial and a link to their documentation.
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This documentation will not cover how to install or use the basics of MATLAB there are many tutorials online that can teach you MATLAB. The MATLAB language is an easy-to-learn, high-level programming language. MATLAB is a very powerful tool used for the creation, analysis, and visualization of data.