[R] Running R on a 64 bit processor

From: Lewis G Coggins <lcoggins_at_usgs.gov>
Date: Sat 29 Jul 2006 - 03:13:00 EST


We recently obtained a new computer in our lab with a Pentium 4 3.86 GHz processor and 4 gb of ram running windows xp with service pack 2. After installing R on this machine, I ran a bit of code and found that the execution time was actually significantly slower than a machine running windows xp with an older Pentium chip 1.73 GHz and 1 gb of ram. After speaking with the manufacturer of the new machine, I am told that the processor in the new machine is 64 bit whereas I believe the processor in the old machine is 32 bit. I have tried to sort through the documentation on the CRAN page relative to performance of R under the 32 vs 64 bit sub architecture, however, I am no computer genius and find some of this stuff extremely confusing. In a CRAN document entitled "Installation and Administration" , there is reference to sub architecture... it reads:

8.1 Windows
Currently the Windows build of R is a 32-bit executable. This runs happily on Windows 64 on AMD64 and EM64T, but is limited to (we are told) a 2GB address space. It will not be possible to build a native version for Windows 64 until suitable compilers are available, and currently (mid-2006) that is not in prospect.
So my question is: are there any options to allow R to take advantage of the faster chip, (with 64 bit architecture), and more ram. I see in the documentation that a linux version of R may be able to take advantage of this chip... is that true what would be involved in making that work? Are there other options? As we are beginning to use R more and more around here, we may send this computer back and get a celeron 3.2 GHz chip that has 32 bit architecture... is this an intelligent choice? Thanks in advance for considering my question, Lew Coggins

        [[alternative HTML version deleted]]

R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sat Jul 29 03:16:49 2006

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.1.8, at Sat 29 Jul 2006 - 06:16:57 EST.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.