MATLAB DualCPU Hyper-Threading support
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Hello everyone.
I'm going to buy a dual CPU workstation and would like to know if a vectorized MATLAB code uses
all the cores of both CPUs without the need to
use the Parallel Computing Toolbox.
Thanks!
4 Comments
Jan
on 30 Jun 2019
I do not understand what
use of " : " instead of " for " loop
means. Of course it depends on the specific code, how it is executed. Calling the colon operator "." a "vectorization function" is strange.
If your code exhausts 12 threads, you can expect that it let 8 threads work efficiently also. So what exactly is your question?
Accepted Answer
Jan
on 30 Jun 2019
Edited: Jan
on 1 Jul 2019
Yes. Matlab will use the available cores. At least most likely. Matlab might split the array columnwise and if the input has 5 columns, there is a chance that only 5 cores are used. Many functions are multi-threaded, but this is applied for "large" arrays only.
I'm not sure, if hyper-threading is used in Matlab. Maybe only the physical cores are used for the reason of efficiency.
Note that:
[m,n]=size(matrix);
for i=1:m
for l=1:n
matrix(i,l) = matrix(i,l)^2;
end
end
and
[m,n]=size(matrix)
matrix(:,:)=matrix(:,:)^2;
do not compute the same result. The 2nd code works for square matrices only and is a matrix multiplication. Equivalent to the first code would be:
% No need to determine the size...
matrix(:,:) = matrix(:,:) .^ 2;
% ^ elementwise squaring
It would be even more efficient, to omit the (:,:):
matrix = matrix .^ 2;
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