Standard answer:
It is possible to make use of more than 1 CPU cores by linking against
some optimized BLAS (for matrix computations) or by parallelizing your
code. Some packages might be of help, they are listed in the "high
performance computing" task view on CRAN:
http://cran.r-project.org/web/views/HighPerformanceComputing.html
Uwe Ligges
Anderson, Chris wrote:> I notice that R basic installation does not take advantage of multi-thread
or multi-core processors. Is there an option for multi-threaded processors? I
currently run all of my analysis on thinkpad laptop and most processing is very
quick, however, when I run stepAIC with interaction terms it can take a couple
of hours to complete. I have tried running the same process and a quad core
machine 64 bit machine and process finishes about 10 mins.
>
> Is the improved speed purely a result being able to take advantage of the
extra memory or does the version that installs on a 64 bit machine automatically
uses the multi-core processor?
>
>
>
>
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