On Jul 6, 2009, at 5:01 PM, David Winsemius wrote:
On Jul 6, 2009, at 4:42 PM, Jonathan Greenberg wrote:
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...
Except the maximum size for a vector (and I wonder also for an
array?) is 2 GB.
?"Memory-limits"
On a 10GB equipped machine (MacOSX with the 64 bit R 2.9.1) I get
this
> big_vector=c(1:2500000000)
Error in 1:2.5e+09 : result would be too long a vector
And that is not because of lack of machine resources. You will need
to create a sizeable number (say 25) of 2 GB "big_vectors" to carry
our this suggestion.
Maybe not as many as I thought. I just remembered that each 2 GB
length vector will take up 8*length= 8 GB of RAM, so about 7 of them
might do it.
> ccc <-character(1000000)
> object.size(ccc)
8000088 bytes
> ccc <-character(4000000)
> object.size(ccc)
32000088 bytes
Takes several minutes just to create just one 1.25 GB vector on my
machine.
> M <- matrix(1:(5000000000/4), ncol=1)
Not sure that the results of gc() done immediately after that
assignment can be taken at face value. The "max used" column sed in
particular appears to bear little relation to my local reality.
> gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 1164830 62.3 1835812 98.1 1835812 98.1
Vcells 625862120 4775.0 1969900386 15029.2 1875862134 14311.7
--
DW
--
DW
--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
Jonathan A. Greenberg, PhD
Postdoctoral Scholar
Center for Spatial Technologies and Remote Sensing (CSTARS)
University of California, Davis
One Shields Avenue
The Barn, Room 250N
Davis, CA 95616
Cell: 415-794-5043
AIM: jgrn307, MSN: jgrn...@hotmail.com, Gchat: jgrn307
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
