[R] R on 64-bit Linux machine

[Peter Dalgaard]

"Roger D. Peng" <rpeng at jhsph.edu> writes:

> I've built (and routinely use) 64 bit R on the following platforms:
> 
> Red Hat Enterprise Linux AS release 3 (AMD Opteron 848)
> Fedora Core 2 x86_64 (AMD Athlon 64 3800+)
> SuSE SLES 8 (AMD Opteron 248)

Nice to know about the Enterprise variants. FC2/3 and SUSE 9.1 are
known good too (did anyone check 9.2 yet?).
 
> One problem that has come up is that if you want to link R with 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.

Actually, you can just go through configuration and add -fPIC to the
compiler flags. Then at the end, run

 ld --shared --whole-archive -o libatlas.so libatlas.a

etc. [If you don't accept architectural defaults (as you probably
shouldn't), the compile/optimize is going to take a while. I wouldn't
know how big the difference is, but -fPIC _will_ force code
differences.]

> -roger
> 
> Vadim Ogranovich wrote:
> > Hi,
> >  We are planning to buy a 64-bit Linux machine which will mainly run
> > R.
> > There was an interesting thread on 64-bits on r-help back in April that
> > basically confirmed that the 64-bit R is fine as long as the length of
> > an atomic object is less than 2^31 - 1.
> >  My specific question is on which 64-bit Linux distros (SUSE or
> > RedHat)
> > and processors R is *known* to build out-of-box and run well. Ease of
> > maintenance is essential here. We have RedHat 7.3 on other (32-bit)
> > machines and would try not to proliferate the OS-s.
> >   Your information will be highly appreciated,
> >  Thanks,
> > Vadim
> > 	[[alternative HTML version deleted]]
> > ______________________________________________
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> >
> 
> -- 
> Roger D. Peng
> http://www.biostat.jhsph.edu/~rpeng/
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
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> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
> 

-- 
   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