st: Re: memory

["Chris Chung" <cchungc403@rogers.com>]

Dear Hans,

I had a similar problem. My problem was related to the size of dataset and 
time-consuming computing procedure (i.e. multiple failure-time analysis). 
Although I used a quad xeon 2.2 processor with 8 GB of RAM and 500 GB of 
drive space, I had to wait several days to get the result of multiple 
failure-time analysis. I was really surprised by the slow computing speed as 
I have yet to run more complicated models with more variables. However, the 
2 GB limit that we are experiencing is a Stata/Terminal Services limitation 
(or feature). Any single application running through Stata/Terminal Services 
can only allocate up to 2 GB of memory.  In this case, with a 32 bit 
application it doesn't really matter - the current 32 bit Stata for Windows 
can only allocate a theoretical 2 GB of memory anyway. When MS officially 
releases a 64 bit version of Windows, we will have a 64 bit compile of Stata 
for Windows which will be able to overcome the 2 GB limit. But the time has 
not come yet.

Chris

----- Original Message ----- 
From: "Hans J. Baumgartner" <hbaumgartner@diw.de>
To: <statalist@hsphsun2.harvard.edu>
Sent: Tuesday, December 14, 2004 4:21 AM
Subject: st: memory



> Dear statalist,
>
> I’ve got new data that requires a lot of memory, i.e. >4 GB.
>
> My system administrator told me that Stata would not be able to handle 
> more than 2 GB physical memory and that each extra memory has to be 
> virtual.
>
> Has anybody some experience to share with "memory eating data"?
>
> My aim is to get 4 or even 8 GB of physical memory but if my system 
> operator is right, than we can save that money.
>
> Thanks for all comments on this.
> Hans
>
> --
> Hans J. Baumgartner DIW Berlin
> German Institute for Economic Research
> Dept. Public Economics
> Königin-Luise-Str. 5; 14195 Berlin; Germany
> Tel.: +49/30/89789-307
> Fax.: +49/30/89789-114
> http://www.diw.de
> http://www.hansbaumgartner.de
>
>
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