[R] Memory allocation
Prof Brian Ripley
ripley at stats.ox.ac.uk
Thu Sep 7 16:44:41 CEST 2006
On Thu, 7 Sep 2006, alex lam (RI) wrote:
> Dear list,
> I have been trying to run the function "qvalue" under the package qvalue
> on a vector with about 20 million values.
> > asso_p.qvalue<-qvalue(asso_p.vector)
> Error: cannot allocate vector of size 156513 Kb
> > sessionInfo()
> Version 2.3.1 (2006-06-01)
> attached base packages:
>  "methods" "stats" "graphics" "grDevices" "utils"
>  "base"
> other attached packages:
> > gc()
> used (Mb) gc trigger (Mb) max used (Mb)
> Ncells 320188 8.6 23540643 628.7 20464901 546.5
> Vcells 101232265 772.4 294421000 2246.3 291161136 2221.4
> I have been told that the linux box has 4Gb of RAM, so it should be able
> to do better than this.
But it also has a 4Gb/process address space, and of that some (1Gb?) is
reserved for the system. So it is quite possible that with 2.2Gb used you
are unable to find any large blocks.
> I searched the FAQ and found some tips on increasing memory size, but
> they seem to be windows specific, such as memory.size() and the
> -max-mem-size flag. On my linux box R didn't recognise them.
?"Memory-limits" is the key
Error messages beginning 'cannot allocate vector of size' indicate
a failure to obtain memory, either because the size exceeded the
address-space limit for a process or, more likely, because the
system was unable to provide the memory. Note that on a 32-bit OS
there may well be enough free memory available, but not a large
enough contiguous block of address space into which to map it.
> I don't understand the meaning of max-vsize, max-nsize and max-ppsize.
> Any help on how to increase the memory allocation on linux is much
Get a 64-bit OS.
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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