[R-SIG-Mac] How to Speed up R on the G5

[stefano iacus]

On Feb 8, 2005, at 9:38 AM, Douglas Bates wrote:

> Regarding the question of whether veclib is parallelized, I'm 
> reasonably sure that it is.  A few months ago I compiled a version of 
> R using veclib for the BLAS and ran a simple timing test on a matrix 
> crossproduct.
>
> mm <- matrix(rnorm(9e6), nc = 3000)
> system.time(crossprod(mm), gc = TRUE)
> system.time(crossprod(mm), gc = TRUE)
> system.time(crossprod(mm), gc = TRUE)
>
> I found on a dual processor system that the elapsed time was about 
> half the user CPU time.
>
yes veclib is parallelized up to what I've read on Apple's site.

btw: has any of you tried to run R in Xgrid ?

About running R using snow & co on Mac OS X, please see

http://adm.wustl.edu/rcluster.php

I'm trying to collect infos about the following
1. running R parallelized code on Mac OS X "the simplest way" (I'm 
thinking about BioC people)
2. optimizing R on G5 (the correct way as Martin M. suggested i.e. 
running at least make check without fails)

the aim is to write a sort of FAQ page on that or to integrate the 
currently (poor) Faq for Mac OS X.

Any of you want to volounteer/contribute?

The svn archive of R.app contains texinfo version of the FAQ and this 
should be the right place where to start from

stefano

> I don't have access to that machine right now but I should be able to 
> do such a test again next week or perhaps Michael Redmond can do it 
> this week.
>
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