[R] R on Multicore for Linux

[stephen sefick]

Make this reproducible.

On Wed, Jul 20, 2011 at 6:44 PM, Madana_Babu <madana_babu at infosys.com> wrote:
> Hi all,
>
> I have R installed on a box, which is running on a machine with 16 core and
> Redhat - Linux. I am handling huge (size of dataset will be 5 GB) dataset.
> Lets assume that my data is in the form of structured (multiple) logs. I
> access the data by using all.files(). Since by default basic version of R
> utilizes single core, the processing of my analysis code is taking too much
> time. I got to know that mclapply() can be used to use all cores
> (processors) to make R much faster when we have multicores. Can anyone help
> me in understanding how to use mclapply() function in the above situation.
>
> Thanks in advance
>
> Regards,
> Madana
>
> --
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> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Stephen Sefick
____________________________________
| Auburn University                                         |
| Biological Sciences                                      |
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| 36849                                                           |
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| sas0025 at auburn.edu                                  |
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