On Thu, 30 Jun 2005, Dubravko Dolic wrote:
Dear Prof. Ripley.Thank You for Your quick answer. Your right by assuming that we run R on a 32bit System. My technician tried to install R on a emulated 64bit Opteron machine which led into some trouble. Maybe because the Opteron includes a 32bit Processor which emulates 64bit (AMD64 x86_64). As You seem to have good experience with running R on a 64bit OS I feel encouraged to have another try for this.
It should work out of the box on an Opteron Linux systen: it does for example on FC3 and SuSE 9.x. Some earlier Linux distros for x86_64 are not fully 64-bit, but we ran R on FC2 (although some packages could not be installed).
Trying to build a 32-bit version of R on FC3 does not work for me: the wrong libgcc_s is found. (One might want a 32-bit version for speed on small tasks.)
-----Ursprüngliche Nachricht----- Von: Prof Brian Ripley [mailto:[EMAIL PROTECTED] Gesendet: Mittwoch, 29. Juni 2005 15:18 An: Dubravko Dolic Cc: [email protected] Betreff: Re: [R] Memory Management under Linux: Problems to allocate large amounts of data Let's assume this is a 32-bit Xeon and a 32-bit OS (there are 64-bit-capable Xeons). Then a user process like R gets a 4GB address space, 1GB of which is reserved for the kernel. So R has a 3GB address space, and it is trying to allocate a 2GB contigous chunk. Because of memory fragmentation that is quite unlikely to succeed. We run 64-bit OSes on all our machines with 2GB or more RAM, for this reason.
-- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
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