[R] "cannot allocate vector of size ..." in RHLE5 PAE kernel
Mauricio Zambrano
hzambran.newsgroups at gmail.com
Mon Jan 17 16:42:43 CET 2011
Following the advice a colleague, I put the gc() and gcinfo(TRUE)
commands just before the line I got the problem, and their output
were:
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 471485 12.6 1704095 45.6 7920371 211.5
Vcells 6408885 48.9 113919753 869.2 347651599 2652.4
Garbage collection 538 = 323+101+114 (level 2) ...
13.0 Mbytes of cons cells used (29%)
49.0 Mbytes of vectors used (7%)
Error: cannot allocate vector of size 238.1 Mb
If I understood correctly, I should have enough memory for allocating
the new matrix (Q.obs <- matrix(NA, nrow=6940, MZ> ncol=9000) ))
Thanks in advance for any help,
Mauricio
--
===============================
Linux user #454569 -- Ubuntu user #17469
===============================
2011/1/17 Martin Maechler <maechler at stat.math.ethz.ch>:
>>>>>> "MZ" == Mauricio Zambrano <hzambran.newsgroups at gmail.com>
>>>>>> on Mon, 17 Jan 2011 11:46:44 +0100 writes:
>
> MZ> Dear R community,
> MZ> I'm running R 32 bits in a 64-bits machine (with 16Gb of Ram) using a
> MZ> PAE kernel, as you can see here:
>
> MZ> $ uname -a
> MZ> Linux mymachine 2.6.18-238.el5PAE #1 SMP Sun Dec 19 14:42:44 EST 2010
> MZ> i686 i686 i386 GNU/Linux
>
>
> MZ> When I try to create a large matrix ( Q.obs <- matrix(NA, nrow=6940,
> MZ> ncol=9000) ), I got the following error:
>
>
> >> Error: cannot allocate vector of size 238.3 Mb
>
>
> MZ> However, the amount of free memory in my machine seems to be much
> MZ> larger than this:
>
> MZ> system("free")
> MZ> \ total used free shared buffers cached
> MZ> Mem: 12466236 6354116 6112120 0 67596 2107556
> MZ> -/+ buffers/cache: 4178964 8287272
> MZ> Swap: 12582904 0 12582904
>
>
> MZ> I tried to increase the memory limit available for R by using:
>
> MZ> $ R --min-vsize=10M --max-vsize=5000M --min-nsize=500k --max-nsize=5000M
>
>
> MZ> but it didn't work.
>
>
> MZ> Any hint about how can I get R using all the memory available in the machine ?
>
> Install a 64-bit version of Linux, i.e., ubuntu in your case
> and work from there.
> I don't think there's a way around that.
>
> Martin
>
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