[R] ways of getting around allocMatrix limit?
Prof Brian Ripley
ripley at stats.ox.ac.uk
Tue Jul 31 17:57:13 CEST 2012
On 31/07/2012 15:10, David Romano wrote:
> I need to multiply to very large, nonsparse matrices, and so get the
> error "allocMatrix: too many elements specified".
>
> Is there a way to set the limit for allocMatrix?
No: see ?'Memory-limits'.
There are also limits on individual objects. On all builds of R,
the maximum length (number of elements) of a vector is 2^31 - 1 ~
2*10^9, as lengths are stored as signed integers.
and of course a matrix is just a vector with some attributes.
In R-devel you can get more: but don't bother unless you have 64+GB of
RAM as the limit currently is a 16GB matrix and you'll need space for
more than one. (All the support for larger object is work-in-progress,
and reducing the number of copies is going on in parallel.)
> In my case, the two matrices, A and B, are nxm and mxp where m is
> small, so I could subdivide each into blocks of submatrices
> A=rbind(A1,A2,...) and B=cbind(B1,B2,...) then multiply each pair of
> submatrices, but I was thinking there must be a better way to get
> around the allocMatrix limit. I'd be grateful for any suggestions!
>
> Thanks,
> David
>
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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