On a dual Opteron 244 with 16GB ram, and
[EMAIL PROTECTED]:cb1]% free
total used free shared buffers cached
Mem: 16278648 14552676 1725972 0 229420 3691824
-/+ buffers/cache: 10631432 5647216
Swap: 2096472 13428 2083044
... using freshly compiled R-1.9.0:
> system.time(x <- numeric(1e9))
[1] 3.60 8.09 15.11 0.00 0.00
> object.size(x)/1024^3
[1] 7.45058
Andy
> From: Peter Dalgaard
>
> "Roger D. Peng" <[EMAIL PROTECTED]> writes:
>
> > I've been running R on 64-bit SuSE Linux on Opterons for a
> few months
> > now and it certainly runs fine in what I would call standard
> > situations. In particular there seems to be no problem with
> > workspaces > 4GB. But I seldom handle single objects (like
> matrices,
> > vectors) that are > 4GB. The only exception is lists, but I think
> > those are okay since they are composed of various sub-objects (like
> > Peter mentioned).
>
> I just tried, and x <- numeric(1e9) (~8GB) doesn't appear to be a
> problem, except that it takes "forever" since the machine in question
> has only 1GB of memory, and numeric() zero fills the allocated
> block...
>
> --
> O__ ---- Peter Dalgaard Blegdamsvej 3
> c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
> (*) \(*) -- University of Copenhagen Denmark Ph:
> (+45) 35327918
> ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX:
> (+45) 35327907
>
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