Is there any other function faster than sum(A,2) to get the sum of all rows?

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a=zeros(6750);
h=zeros(6750,1);
tic;k=h-sum(a,2); toc
Elapsed time is 0.041132 seconds.
Is there any faster way than to use sum(A,2) to get the sums of the rows of a matrix? sum(A,2) seems to be slow for large matrices.
  4 Kommentare
Image Analyst
Image Analyst am 27 Jun. 2022
The Parallel Processing Toolbox is an add-on toolbox. You can ask for a free trial of it and see if the Parallel Processing Toolbox helps. I know some functions recognize if you have that toolbox and start parallel processes going on multiple CPU cores on your computer automatically.
Walter Roberson
Walter Roberson am 27 Jun. 2022
For sufficiently large matrices, addition is automatically handled by high performance parallel libraries. Using parfor or parfeval() will not improve performance compared to the automatic multi-core work that is done.

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Antworten (2)

Walter Roberson
Walter Roberson am 26 Jun. 2022
Switching to columns can improve performance as it allows better use of hardware cache.
  2 Kommentare
Nadatimuj
Nadatimuj am 26 Jun. 2022
Thanks for the suggestion. Did you mean this? Doesn't look like to save too much time...
a=zeros(6750);
h=zeros(1,6750);
tic;k=h-sum(a,1); toc
Elapsed time is 0.033019 seconds.
Walter Roberson
Walter Roberson am 27 Jun. 2022
When I test on my system, the sum(a,1) version is 5 to 6 times faster than the sum(a,2) version

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MJFcoNaN
MJFcoNaN am 26 Jun. 2022
In general, the native functions are optimized sufficiently.
In certain cases, there may be some better way but in other parts of code. For example,
a=sparse(zeros(6750));
h=sparse(zeros(6750,1));
tic;k=h-sum(a,2); toc
Elapsed time is 0.003234 seconds.
  1 Kommentar
Nadatimuj
Nadatimuj am 26 Jun. 2022
Thanks, yes that's a good idea. However, originally I didn't use the sparse notation, I will check if using sparse will impact other parts of the code. Otherwise sparse conversion just here can take some time.

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