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3D matrix multiplication

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Kamuran
Kamuran 2011 年 6 月 24 日
コメント済み: James Tursa 2020 年 9 月 17 日
Hi,
I have two 3D matrices that I need to multiply in a specific way. I need to do for k=1:Z M(:,:,k)=A(:,:,k)*B(:,:,k) end
but I do not want to use for loop because it makes my code run slower and I need to this multiplication for a unsteady flow profile calculation (close to million time steps). Is there a more efficient way to do it?
  4 件のコメント
Steven Lord
Steven Lord 2020 年 9 月 17 日
We don't do implicit slice expansion, but as of release R2020b we provide the pagemtimes function for this purpose.
James Tursa
James Tursa 2020 年 9 月 17 日
Finally! Guess I can now stop worrying about updating MTIMESX.

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採用された回答

James Tursa
James Tursa 2011 年 6 月 24 日
  1 件のコメント
James Tursa
James Tursa 2011 年 6 月 24 日
P.S. If your 2D slices are small (4x4 or less), be sure to use 'SPEED' or 'SPEEDOMP' mode. This will cause inline code to be used that will run faster than the default BLAS library routine calls.

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その他の回答 (4 件)

Daniel Frisch
Daniel Frisch 2020 年 2 月 3 日
Matrix multiplication can also be expressed using native Matlab code (times and sum):
% A : (a x c x Z)
% B : (c x b x Z)
Ap = permute(A,[2,1,4,3]); % (c x a x 1 x Z)
Bp = permute(B,[1,4,2,3]); % (c x 1 x b x Z)
M = Ap .* Bp; % (c x a x b x Z)
M = sum(M,1); % (1 x a x b x Z)
M = permute(M,[2,3,4,1]); % (a x b x Z)
  1 件のコメント
James Tursa
James Tursa 2020 年 2 月 10 日
Note that the permute( ) operations will involve a deep data copy, so this method will run slower than the mex routines.

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Walter Roberson
Walter Roberson 2011 年 6 月 24 日
There is no built-in MATLAB support for 3D multiplications. The program James refers to is probably a good choice.
By the way, especially in the releases of the last few years, "for" loops are sometimes faster than vectorization, especially for large matricies.

Kamuran
Kamuran 2011 年 6 月 24 日
to use this file I need to install a C compiler ? If so can you suggest me one, Because I never used C :) .
Thank you
  3 件のコメント
James Tursa
James Tursa 2011 年 6 月 24 日
Type the following at the MATLAB prompt:
mex -setup
Then press Enter and see what shows up. If you have a 32-bit system then hopefully a compiler will already be there. If you have a 64-bit system then you will have to install one yourself unfortunately.
Walter Roberson
Walter Roberson 2011 年 6 月 24 日
I checked back... we do not have any information about the OS or MATLAB version the poster is using.

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Mr M.
Mr M. 2018 年 4 月 6 日
I got the following error message:
Error using mtimesx_build (line 120) Unable to compile mtimesx.c
Error in mtimesx (line 271) mtimesx_build;
  2 件のコメント
Mr M.
Mr M. 2018 年 4 月 6 日
However XCode is installed and licence is accepted (mex -setup)
James Tursa
James Tursa 2018 年 4 月 6 日
MTIMESX is way overdue for an update (TMW changed mex procedures some time ago). In the meantime, try this or some variation of this modified for your system:
lib_blas = fullfile(matlabroot,'extern','lib',computer('arch'),'microsoft','libmwblas.lib');
mex('mtimesx.c',lib_blas,'-largeArrayDims')

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