[R] Testing memory limits in R??

[David Winsemius]

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.

-- 
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
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> Cell: 415-794-5043
> AIM: jgrn307, MSN: jgrn307 at hotmail.com, Gchat: jgrn307
>
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David Winsemius, MD
Heritage Laboratories
West Hartford, CT