Message-ID: <x2pt2i8zx4.fsf@biostat.ku.dk>
Date: 2004-11-12T22:28:55Z
From: Peter Dalgaard
Subject: R on 64-bit Linux machine
In-Reply-To: <Pine.LNX.4.61.0411122134120.30572@gannet.stats>
Prof Brian Ripley <ripley at stats.ox.ac.uk> writes:
> > ATLAS, you need to build shared ATLAS libraries (rather than
> > static). This requires some modifications to the configuation files
> > for ATLAS. But my experience shows that R itself builds out of the
> > box on these systems.
>
> However, you will almost certainly get better performance out of the
> Goto BLAS implementations, and they are shared (and easy to use, much
> more so than ATLAS).
I actually have different experience in the multithreaded case, at
least with my favourite "benchmark suite": inversion of a large
matrix. I'd do some timings, but I have this ATLAS compile running
just now...
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907