[Rd] compiling R | multi-Opteron | BLAS source

From: Evan Cooch <cooch17_at_verizon.net>
Date: Sun 23 Jul 2006 - 14:13:45 GMT


Greetings -

A quick perusal of some of the posts to this maillist suggest the level of the questions is probably beyond someone working at my level, but at the risk of looking foolish publicly (something I find I get increasingly comfortable with as I get older), here goes:

My research group recently purchased a multi-Opteron system (bunch of 880 chips), running 64-bit RHEL 4 (which we have site licensed at our university, so it cost us nothing - good price) with SMP support built into the kernel (perhaps obviously, for a multi-pro system). Several of our user use [R], which I've only used on a few occasions. However, it is part of my task to get [R] installed for folks using this system.

While the simple, basic compile sequence (./configure, make, make check, make install) went smoothly, its pretty clear from our benchmarks that the [R] code isn't running as 'rocket-fast' as it should for a system like this. So, I dig a bit deeper. Most of the jobs we want to run could benefit from BLAS support (lots of array manipulations and other bits of linear algebra), and a few other compilation optimizations - and here is where I seek advice.

  1. Looks like there are 3-4 flavours: LAPACK, ATLAS, ACML (AMD-chips...), and Goto. In reading what I can find, it seems that there are reasons not to use ACML (single-thread) despite the AMD chips, reasons to avoid ATLAS (some hassles compiling on RHEL 4 boxes), reasons to avoid LAPACK (ibid), but apparently no problems with Goto BLAS.

Is that a reasonable summary? At the risk of starting a larger discussion, I'm simply looking to get BLAS support, yielding the fastest [R] code with the minimum of hassles (while tweaking lines of configure fies, weird linker sequences and all that used to appeal when I was a student, I don't have time at this stage). So, any quick recommendation for *which* BLAS library? My quick assessment suggests goto BLAS, but I'm hoping for some confirmation.

3) compilation of BLAS - I can compile for 32-bit, or 64-bit. Presumably, given we've invested in 64-bit chips, and a 64-bit OS, we'd like to consider a 64-bit compilation. Which, also presumably, means we'd need 64-bit compilation for [R]. While I've read the short blurb on CRAN concerning 64-bi vs 32-bit compilations (data size vs speed), I'd be happy to have both on our machine. But, I'm not sure how one specifies 64-bits in the [R] compilation - what flags to I need to set during ./configure, or what config file do I need to edit?

Thanks very much in advance - and, again, apologies for the 'low-level' of these questions, but one needs to start somewhere.



R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel Received on Mon Jul 24 00:16:58 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 Tue 01 Aug 2006 - 18:27:40 GMT.

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