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By working through common scenarios to parallelize MATLAB algorithms and run multiple Simulink simulations in parallel, you will gain an understanding of parallel computing with MATLAB and Simulink and learn about best practices.\n\nThe files in this branch are made to work with MATLAB R2025a.\n\nRequired toolboxes: \n* MATLAB\n* Simulink\n* Parallel Computing Toolbox\n\n### Resources:\n\n[Similar Workshop Material](https://www.mathworks.com/matlabcentral/fileexchange/80896-parallel-computing-hands-on-workshop)\n\n[Similar Workshop Recording](https://www.mathworks.com/videos/parallel-computing-hands-on-workshop-1594017972362.html)\n\n[Partition Parallel Pools to Optimize Resource Use](https://www.mathworks.com/help/parallel-computing/partition-parallel-pools-to-optimize-resource-use.html)\n\n[Guidelines for Writing Thread-Safe S-Functions](https://www.mathworks.com/help/simulink/sfg/guidelines-for-writing-threadsafe-s-functions.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinker-twins%2Fmathworks-parallel-computing-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftinker-twins%2Fmathworks-parallel-computing-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinker-twins%2Fmathworks-parallel-computing-workshop/lists"}