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

[Michael Redmond]

Doug,
Here are the results from the XServe.
Mike
---
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 >
 > source("submit.R", echo=TRUE)

 > mm <- matrix(rnorm(9e+06), nc = 3000)

 > system.time(crossprod(mm), gc = TRUE)
[1] 6.13 0.28 3.56 0.00 0.00

 > system.time(crossprod(mm), gc = TRUE)
[1] 6.17 0.24 3.56 0.00 0.00

 > system.time(crossprod(mm), gc = TRUE)
[1] 6.27 0.16 3.55 0.00 0.00

-----

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.
> 
> 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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