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Write a MATLAB function that contains a parfor-loop. For example:

function a = test_parfor %#codegen
a=ones(10,256);
r=rand(10,256);
parfor i=1:10
  a(i,:)=real(fft(r(i,:)));
end

Generate C code for test_parfor. At the MATLAB command line, enter:

codegen -config:lib test_parfor

Because you did not specify the maximum number of threads to use, the generated C code executes the loop iterations in parallel on the available number of cores.

To specify a maximum number of threads, rewrite the function test_parfor as follows:

function a = test_parfor(u) %#codegen
a=ones(10,256);
r=rand(10,256);
parfor (i=1:10,u)
  a(i,:)=real(fft(r(i,:)));
end

Generate C code for test_parfor. Use -args 0 to specify that the input, u, is a scalar double. At the MATLAB command line, enter:

codegen -config:lib test_parfor -args 0 

In the generated code, the iterations of the parfor-loop run on at most the number of cores specified by the input, u. If less than u cores are available, the iterations run on the cores available at the time of the call.