On 7/6/2009 3:52 PM, 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..
Individual vectors are limited to 2^31-1 elements, and the elements are
8 bytes each in a double precision vector. So executing
a <- numeric(2^30)
will use up 8 GB of memory. You can try this with other variable names,
and see how often it succeeds:
b <- numeric(2^30) # total now 16 GB
c <- numeric(2^30) # total now 24 GB, etc.
Duncan Murdoch
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