From p.dalgaard at biostat.ku.dk  Fri Sep  2 23:55:14 2005
From: p.dalgaard at biostat.ku.dk (Peter Dalgaard)
Date: 02 Sep 2005 23:55:14 +0200
Subject: [Rd] 64 bit R for Windows
In-Reply-To: <17176.45249.954154.117268@stat.math.ethz.ch>
References: <84B25EE9B4CB1A47A197E6AE76790D7801426D9B@mail1.lajolla.iattc.org>
	<x2u0h3wh47.fsf@turmalin.kubism.ku.dk>
	<17176.45249.954154.117268@stat.math.ethz.ch>
Message-ID: <x2oe7bp22l.fsf@turmalin.kubism.ku.dk>

Martin Maechler <maechler at stat.math.ethz.ch> writes:

> >>>>> "PD" == Peter Dalgaard <p.dalgaard at biostat.ku.dk>
> >>>>>     on 02 Sep 2005 18:48:24 +0200 writes:
> 
>     PD> "Milton Lopez" <mlopez at iattc.org> writes:
> 
>     >> I appreciate the update. We will consider using Linux,
>     >> which leads me to one more question: what is the maximum
>     >> RAM that R can use on each platform (Linux and Windows)?
>     >> 
>     >> Thanks again for your prompt responses.
> 
>     PD> On Win32, something like 3GB. Maybe a little more on
>     PD> Linux32, but there's a physical limit at 4GB.
> 
> for a *single* object, yes.  However (and Peter knows this
> probably better than me ..), R's workspace can be very much
> larger which makes it realistically possible to start *using* R
> functions on objects of around 4GB.

Notice that I said "Linux32" there.... The single-object size limit is
of course relevant on 64 bit systems, so thanks for the reminder.

<snip>

>     PD> On Linux 64, the motherboards set the limit in practice,
>     PD> 32GB systems have been reported working and I think at
>     PD> least 64GB should be possible. I seem to recall that the
>     PD> maximum _virtual_ memory is not quite 2^64, but it will
>     PD> be pretty huge (2^48, 256TB)?.

-- 
   O__  ---- Peter Dalgaard             ?ster Farimagsgade 5, Entr.B
  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
 (*) \(*) -- University of Copenhagen   Denmark          Ph:  (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)                  FAX: (+45) 35327907



[Rd] 64 bit R for Windows
Peter Dalgaard