You could probably just make a big array and watch "top" usage -- a 5gb
array would do the trick -- if you can break 4gb you are golden.
big_vector=c(1:1000000) and keep adding zeroes...
--j
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..
Thanks!
-scz
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--
Jonathan A. Greenberg, PhD
Postdoctoral Scholar
Center for Spatial Technologies and Remote Sensing (CSTARS)
University of California, Davis
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The Barn, Room 250N
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______________________________________________
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and provide commented, minimal, self-contained, reproducible code.
