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How MATLAB makes the distinction between P-Cores and E-Cores?

  It is known that modern CPUs have both Performance cores (P-cores) and efficiency cores (E-cores), different types of CPU cores that have different purposes and are designed for different tasks. P-cores typically have higher clock speeds and designed for high-performance tasks, while E-cores operate at lower clock speeds and focus on energy-efficient processing. In MATLAB, maxNumCompThreads returns the current maximum number of computational threads. Currently, the maximum number of computational threads is equal to the number of physical cores on your machine. How MATLAB makes the distinction between P-Cores and E-Cores ? NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects...
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How can I make the mean of 3d matrices in a cell in Matlab?

 I have a 1x12 cell in Matlab and each element of this cell has a 3d matrix. I want to make the mean of these 3d matrices, so that I obtain a 3d matrix that has the same dimensions of each one of the 3d matrices of the cell and that is the mean of the 12 3d matrices. How can I do this operation ?

I tried to extract each cell and create a 4d matrix so that I could do mean(fourdmatrix,4) . However, it seems not possible to create a 4d matrix.

Ideed, a code like this:

 

cell={threedmatrixA, threedmatrixB, ...}
fourdmatrix=[];

for i=1:12
 fourdmatrix(i)=cell{i};
end

does not work. How can I do it ?


  NOTE:-


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One you have the data in a 4d array it's simple enough, just use mean and supply the dimension to work over as you suggest. As @Cris notes you might run out of memory forming the 4d array (since it will copy all the data) in which case you'll want to loop over the existing arrays. But if you have enough memory this should work:

 

% make 12 random 3d arrays in cell array `c`
for i=1:12
    c{i} = rand(10, 10, 10); 
end

% Make a 4d array:
array4d = cat(4, c{:}); % Same as writing cat(4, c{1}, c{2}, c{3}, etc)

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