Hi,

Before someone gives professional advice, you may do an experiment:
Set the windows virtual memeory to be as large as ~128GB, (make sure the
hard drive has enough space, restart might be required);
increase the memroy limit in R;
load a big dataset (or iteratively assign it to an object, and do some
calculation.....Definitely will be very slow)
I am not sure. Just try to help.

Best wishes,
Jie

On Sun, Aug 5, 2012 at 6:52 PM, <Alan.X.Simpson@nab.com.au> wrote:

> Dear all
>
> I have a Windows Server 2008 R2 Enterprise machine, with 64bit R installed
> running on 2 x Quad-core Intel Xeon 5500 processor with 24GB DDR3 1066 Mhz
> RAM.  I am seeking to analyse very large data sets (perhaps as much as
> 10GB), without the addtional coding overhead of a package such as
> bigmemory().
>
> My question is this - if we were to increase the RAM on the machine to
> (say) 128GB, would this become a possibility?  I have read the
> documentation on memory limits and it seems so, but would like some
> additional confirmation before investing in any extra RAM.
>
> Kind regards
>
> Alan
>
> Alan Simpson
> Technical Lead, Retail Model Development
> Retail Models Project
> National Australia Bank
>
> Level 15, 500 Bourke St, Melbourne VIC
> Tel: +61 (0) 3 8697 7135  |  Mob: +61 (0) 412 975 955
> Email: Alan.X.Simpson@nab.com.au
>
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