To run your code in GPU, you need not to do much. It is very easy and straight forward. You need to place the variable/ data into GPU using the function gpuarray . Read here: https://in.mathworks.com/help/parallel-computing/gpuarray.html
If the variable is of class GPU, it will be placed in GPU and all the operations you do will be on GPU. Most of the functions support gpu calculations. Find it here: https://in.mathworks.com/help/referencelist.html?type=function&capability=gpucodegen
Example:
% Multiplication of matrices in GPU
A = rand(100) ;
B = rand(100) ;
C = A*B ; % runs on CPU
%
A_gpu = gpuarray(A) ;
B_gpu = gpuarray(B) ;
C_gpu = A*B ; % runs on GPU
Running on GPU is easy and straight forward. Read here: https://in.mathworks.com/help/parallel-computing/run-matlab-functions-on-a-gpu.html
