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Hi Patrick,
thanks a lot. No, I am not using MKL, but I am going to try the flags
you mention in your blog.
Cheers,
Rainer
On 11/12/2010 03:58 PM, Richardson, Patrick wrote:
> Rainer,
>
> The attached link might give you some insight. It's for compiling R
> with MKL. I'm not sure if you're using MKL or not (but it does make R
> faster). And to your question, it does contain code for setting flags
> which I have used and found to be beneficial.
>
> http://psyccomputing.blogspot.com/2010/04/compiling-64-bit-r-2101-with-mkl-in.html
>
>
>
> Best,
>
> Patrick
>
>
> -Original Message- From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Rainer M Krug
> Sent: Friday, November 12, 2010 9:51 AM To: R-help Subject: [R]
> Optimizing compilation of R
>
> Hi
>
> I know this has been asked before, but I can not find it - so my
> apologies.
>
> I want to compile R myself, to optimize it for speed. There is a
> small section (a few lines actually) in the R-admin manual
> (Compilation-flags) which states that the LDFLAGS "on recent systems
> ''-Bdirect,--hash-style=both,-Wl,-O1'' is recommended".
>
> But I set LDFLAGS, and it is actually slightly slower then the
> Ubuntu binary.
>
> So are there any other ressources (probably HotTos?) on how I can
> tune the compilation of R to make it faster?
>
> I am using Maverick, and R info is below:
>
>
>> sessionInfo()
> R version 2.12.0 (2010-10-15) Platform: i686-pc-linux-gnu (32-bit)
>
> locale: [1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C [3]
> LC_TIME=en_US.utf8LC_COLLATE=en_US.utf8 [5] LC_MONETARY=C
> LC_MESSAGES=en_US.utf8 [7] LC_PAPER=en_US.utf8 LC_NAME=C [9]
> LC_ADDRESS=C LC_TELEPHONE=C [11]
> LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C
>
> attached base packages: [1] stats graphics grDevices utils
> datasets methods base
>
> loaded via a namespace (and not attached): [1] tools_2.12.0
>> version
> _ platform i686-pc-linux-gnu arch i686 os
> linux-gnu system i686, linux-gnu status major 2
> minor 12.0 year 2010 month 10 day
> 15 svn rev53317 language R version.string R version
> 2.12.0 (2010-10-15)
>
>
> Thanks,
>
> Rainer
>
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