On Jul 6, 2009, at 8:39 PM, Duncan Murdoch wrote:
On 06/07/2009 4:16 PM, Peter Dalgaard wrote:
Scott Zentz wrote:
Hello Everyone,
We have recently purchased a server which has 64GB of memory
running a 64bit OS and I have compiled R from source with the
following config
./configure --prefix=/usr/local/R-2.9.1 --enable-Rshlib --enable-
BLAS-shlib --enable-shared --with-readline --with-iconv --with-x --
with-tcktk --with-aqua --with-libpng --with-jpeglib
and I would like to verify that I can use 55GB-60GB of the 64GB of
memory within R. Does anyone know how this is possible? Will R be
able to access that amount of memory from a single process? I am
not an R user myself but I just wanted to test this before I
turned the server over to the researchers..
Hmm, it's slightly tricky because R often duplicates objects, so
you may hit the limit only transiently. Also, R has an internal 2GB
limit on single vectors. But something like this
Is it a 2 GB limit in size, or in the number of elements? I'm still
spending almost all my time in 32 bit land, so it's hard to check.
Duncan Murdoch
I believe that Peter is generically referring to the vector length
limit and not a RAM limit. The only figure that I have ever seen
referenced over the years is the limit on the length of a vector,
given that R uses signed 32 bit integers for indexing:
# 2 Gb
> 2 * 1024^3
[1] 2147483648
# Figure referenced in ?"Memory-limits"
> 2^31 - 1
[1] 2147483647
Since matrices and arrays are vectors with 'dim' attributes, these
objects have this limit as well.
HTH,
Marc
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