On Aug 5, 2012, at 3:52 PM, alan.x.simp...@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().
It may depend in part on how that number is arrived at. And what you
plan on doing with it. (Don't consider creating a dist-object.)
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.
The trypical advices is you will need memory that is 3 times as large
as a large dataset, and I find that even more headroom is needed. I
have 32GB and my larger datasets occupy 5-6 GB and I generally have
few problems. I had quite a few problems with 18 GB, so I think the
ratio should be 4-5 x your 10GB object. I predict you could get by
with 64GB. (please send check for half the difference in cost between
64GB abd 128 GB.)
--
David.
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.simp...@nab.com.au
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David Winsemius, MD
Alameda, CA, USA
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