Asked by Mehrnaz Shok
on 18 May 2013

I want to multiply a big matrix (possibly 6000 * 6000) with its transpose. However I get out of memory error. I know that I don't have enough RAM to make this works...but is there any way I can get this to work?? I am running Matlab R2012b on 32bit windows vista. Can someone show me how to do this block wise, or some methods. The only thing that is important for me is that I need to use the result of the matrix multiplication for another analysis.

This is a sample of what I trying to do: A = ones(6000); B = A'*A; (I need to use B to get another code running).

Please advise, Thanks

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Answer by Jan Simon
on 18 May 2013

Perhaps there are any magic tricks, which allow to compute A'*A. When you call the BLAS function through a MEX interface, A' is not calculated explicitly. Perhaps http://www.mathworks.com/matlabcentral/fileexchange/13604-calllapack-matlab-interface-of-lapack-and-blas-functions helps. But nothing can compete with real RAM: Install a 64 bit version and a bunch of GigaBytes. This will be cheaper than about 1 to 2 hours of work with a usual salary for an engineer.

James Tursa
on 19 May 2013

Jan Simon
on 22 May 2013

@James: I assume this symmetric BLAS routine is triggered by the undocumented JIT acceleartion. Unfortunately I do not know its documentation, such that this could not matter my Matlab version.

Another point could be, that in `A = rand(6000); B = A'*A` two large matrices must exist at the same time. When A is not required anymore, an inplace construction would be useful. The original BLAS-DGEMM does not exploit, that the result of A'*A is symmetric, as far as I know. Perhaps the MKL and ATLAS implementations do this.

James Tursa
on 22 May 2013

@Jan: I am unaware of any specific documentation covering the rules for when symmetric BLAS routines are called. The doc used to list the routines that were used (without giving rules for when they were used), but I don't even see that anymore. E.g., is the symmetric routine called for shared data copy cases such as this:

A = rand(6000); C = A; B = C'*A;

Given that the rules are not documented, I don't know if one can always depend on the symmetric behavior.

If you want to know what MATLAB is doing on your particular machine for a particular case, you can always compare the timing to MTIMESX in SPEED mode for a large case. MTIMESX will always key off of the real data pointer value to determine symmetric cases, so it will catch the shared data copy inputs. The timing difference for large symmetric multiplies is an obvious discriminator (something like 30% or more on my machine if I remember correctly). And the symmetric result won't in general match the DGEMM result.

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## 2 Comments

## per isakson (view profile)

Direct link to this comment:http://www.mathworks.com/matlabcentral/answers/76267#comment_149671

R2012a, 64bit, Windows 7, old vanilla desktop, 8GB RAM.

I guess from looking at the Task Manager window that 4GB would have been enough so far.

.

Try

## Iain (view profile)

Direct link to this comment:http://www.mathworks.com/matlabcentral/answers/76267#comment_150371

You can reduce the memory you need by working with singles.