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
Y <- replicate(30, rnorm(2^28-1))
should create an object of about 30*2GB. Then lapply(Y, mean) should
generate 30 very good and very expensive approximations to 0.
(For obvious reasons, I haven't tested this on a 1GB ThinkPad X40....)
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