How can I vectorize this function with nested FOR loop?

I have two for loops.L is one matrix of random numbers between 0,1 with dimension 24*100000.I want to vectorize it but i can't. because current code is very slow and take a long time.please help me.
K=zeros(100000,1);
T=zeros(100000,1);
for i=1:100000
for j=1:100000
K(j,1)=exp(-4*norm(L(:,i)-L(:,j))^2/norm(L(:,i))^2);
end
T(i,:)=sum(K)-1;
end

2 comentarios

(L(:,i)-L(:,j))
This is what is going to make it difficult to vectorize. I believe there is a command to calculate this for you, but I'm not sure what exactly it is. It might be easier to do some research for this specifically, rather than the vectorization.
Jan
Jan el 2 de Jul. de 2019
Editada: Jan el 2 de Jul. de 2019
Why do you want to vectorize the code? There is no general benefit in doing this. Does the current code run too slow? Then an acceleration is the way to go. Vectorizing can improve the speed, but this is not in general.
To optimize the code, we need the chance to run it. Without meaningful input arguments, this is hard. So please provide L.
norm(x)^2 calculates an expensive square root only to square the result afterwards.
Do oyu have the parallel processing toolbox? A parfor might be very useful.

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 Respuesta aceptada

Matt J
Matt J el 2 de Jul. de 2019
Editada: Matt J el 2 de Jul. de 2019
Using mat2tiles
chunksize=10000;
Lc=mat2tiles(L.',[chunksize,24]);
normL=mat2tiles(vecnorm(L,2,1), [1, chunksize]);
N=numel(Lc);
Tc=cell(N);
for i=1:N
for j=1:N
E=pdist2(Lc{i},Lc{j})./normL{j};
Tc{i,j}=sum( exp(-4*E.^2) ,1);
end
end
T=sum( cell2mat(Tc) ,1).'-1;

18 comentarios

At first thank you. at second i got this error ''Undefined function or variable 'vecnorm'.'' please help me. thanks a lot.
Matt J
Matt J el 2 de Jul. de 2019
Editada: Matt J el 2 de Jul. de 2019
What Matlab version are you using? In any case, try this revision:
chunksize=10000;
Lc=mat2tiles(L.',[chunksize,24]);
normL=mat2tiles(sqrt(sum(L.^2,1)), [1, chunksize]);
N=numel(Lc);
Tc=cell(N);
for i=1:N
for j=1:N
E=pdist2(Lc{i},Lc{j})./normL{j};
Tc{i,j}=sum( exp(-4*E.^2) ,1);
end
end
T=sum( cell2mat(Tc) ,1).'-1;
abtin irani
abtin irani el 2 de Jul. de 2019
Editada: abtin irani el 2 de Jul. de 2019
excuse me.I got this error ''Undefined function or variable 'mat2tiles' ''.matlab 2015a.
Matt J
Matt J el 2 de Jul. de 2019
You need to download it from the link I gave you.
excuse me where is your link?is there any other solution?
Matt J
Matt J el 2 de Jul. de 2019
Here it is: mat2tiles
abtin irani
abtin irani el 3 de Jul. de 2019
Editada: abtin irani el 3 de Jul. de 2019
excuse me . I got this error .Error using ./ Matrix dimensions must agree.Error in Untitled8 (line 37)
E=pdist2(Lc{i},Lc{j})./normL{j};
L is one matrix with dimension 24*10000
thank you.
Matt J
Matt J el 3 de Jul. de 2019
What Matlab version do you have?
2015a
You should upgrade to R2016b or higher, if you can. Barring that, just modify this line
E=bsxfun(@rdivide, pdist2(Lc{i},Lc{j}) , normL{j} );
abtin irani
abtin irani el 3 de Jul. de 2019
Editada: Matt J el 3 de Jul. de 2019
you helped me alot.thanks alot .it worked.in this line
E=bsxfun(@rdivide, pdist2(Lc{i},Lc{j}) , normL{j} );
it isn't normL{i}?can i ask you another thing.how can i vectorize this loop?
i=6
N=norm(L(:,i))/2;
P=zeros(10000,1);
for j=1:10000
P(j,:)=norm(L(:,i)-L(:,j))/N;
end
thank you very much.
Matt J
Matt J el 3 de Jul. de 2019
Editada: Matt J el 3 de Jul. de 2019
you helped me alot.thanks alot .it worked.
You're welcome, but if so, please Accept-click the answer.
it isn't normL{i}?
I don't think so, but you can test both versions to be sure.
can i ask you another thing.how can i vectorize this loop?
That would just be,
P=pdist2(L(:,6).',L.').'/N
It may help you to read the pdist2 documentation to see how it works, and all its options.
excuse me.for chunksize=100000.I got this error:
Error using pdist2mex
Requested 100000x100000 (74.5GB) array exceeds maximum array size preference. Creation of arrays greater than this limit
may take a long time and cause MATLAB to become unresponsive. See array size limit or preference panel for more
information.
Error in pdist2 (line 343)
D = pdist2mex(X',Y',dist,additionalArg,smallestLargestFlag,radius);
Error in Untitled8 (line 37)
E=bsxfun(@rdivide, pdist2(Lc{i},Lc{j}) , normL{j} );
please help me.
Matt J
Matt J el 3 de Jul. de 2019
Yes, the error message makes sense. What question do you have about it?
how can i don't get this error?what is the solution for this error?thank you.
Matt J
Matt J el 3 de Jul. de 2019
Editada: Matt J el 3 de Jul. de 2019
Do not pass a matrix with 100000 rows to pdist2. This will attempt to create a 100000 x 100000 matrix, which the error message tells you is 75GB!!
so,what can i do if i don't use pdist2.is there any other solution instead of pdist2 that doesn't give this error? i want one solution for chunksize=1000000. thank you for your answers.
Matt J
Matt J el 4 de Jul. de 2019
Editada: Matt J el 5 de Jul. de 2019
Well, maybe the question to ask is, why are you making the chunksize larger, when you toldu us that the code already worked when the chunksize was just 10,000? Why change/fix something that is not broken?

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Más respuestas (1)

Jan
Jan el 4 de Jul. de 2019
n = 1000;
L = rand(24, n);
T = zeros(n, 1);
for i=1:n
K = exp(-4*sum((L(:,i) - L) .^ 2, 1) ./ sum(L(:,i).^2, 1));
T2(i) = sum(K, 2) - 1;
end
This is 100 times faster than the original version for n=1000.
With parfor instead of for a further acceleration is possible.
To my surprise the above code is faster than this, which omits the repeated squaring:
T = zeros(n,1);
L2 = L .^ 2;
for i=1:n
K = exp(-4*sum((L2(:,i) - 2*L(:,i).*L + L2), 1) ./ sum(L2(:,i), 1));
T(i) = sum(K, 2)-1;
end

2 comentarios

excuse me i got this error. Error using .*
Matrix dimensions must agree.
Error in Untitled8 (line 33)
K=exp(-4*sum((L2(:,i) - 2*L(:,i).*L + L2), 1) ./ sum(L2(:,i), 1));
You use Matlab < R2016b. Then:
K = exp(-4*sum((L2(:,i) - bsxfun(@times, 2*L(:,i), L) + L2), 1) ...
./ sum(L2(:,i), 1));
But the first version seems to be faster.

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