Parallel Computing Toolbox™ allows you to solve computational and data-intensive problems using multi-core processors, GPUs and computer clusters. High-level constructs such as parallel loops, special array types, and parallelized numerical algorithms allow you to parallelize MATLAB® programs without CUDA or MPI programming. The toolbox allows you to use parallel active functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of the same model in parallel. Programs and models can be run in both interactive and batch modes.
In this command, it is necessary to enter the desired MATLAB code in your code section. In the first line of the above command, the number 2 in the parenthesis indicates the number of cores that are supposed to be processed by these two cores in parallel.
How is the parallel processing of codes in MATLAB?
In the first step, in order for the codes written in MATLAB software to be processed in parallel, it is necessary to use the following command in coding.
