Those are some great links.

You can also do parallel computing with zmq.

I'll toss out my rzmq tutorial.  Someday I'll even write a foreach wrapper
for this...

http://www.rinfinance.com/agenda/2012/workshop/WhitArmstrong.pdf

-Whit



On Fri, Jan 11, 2013 at 5:10 PM, Suzen, Mehmet <msuzen@gmail.com> wrote:

> Hi David,
>
> Updating packages or the base should not be an issue as long as deployment
> and
> development platforms are identical. But that is a valid problem for
> any software
> project, it is too generic to be Rs problem only.
>
> >> nascent advanced computing initiative.  What hardware issues do you see
> as
> >> most critical?  Software?  What kinds of consulting resources would you
> >> want
> >> to have available to facilitate your R-related work?  Any
> recommendations
>
> Step 0 would be to first start exploring current HPC capabilities.
> There is a very well
> maintained classification in views:
> http://cran.r-project.org/web/views/HighPerformanceComputing.html
>
> Each solution address to different architecture. I would take each
> sub-title
> there and generate "minimal" hardware requirement for each.
> So It is all depends on your needs and applications.
>
> Concerning consultancy, there are very successful R companies (I don't
> want to
> advertise names; ask me off the list) that provides off the shelf
> parallel R solutions, optimized
> packages/R-core and support.
>
> >> for introductory material on high performance computing in R that I
> should
> >> read to get up to speed?  Thanks in advance for any comments/advice.
>
> Probably this book came up  in the list before;  Parallel R  :
> http://shop.oreilly.com/product/0636920021421.do
>
> Also this resource list is pretty good
>
>
> http://rdatamining.wordpress.com/2012/05/06/online-resources-for-handling-big-data-and-parallel-computing-in-r/
>
> I have noticed that you work with MCMC. The parallel R solutions guru
> on MCMC is Professor Wilkinson of
> Newcastle University. His posts are quite pedagogical:
>
>
> http://darrenjw.wordpress.com/2011/12/29/parallel-particle-filtering-and-pmcmc-using-r-and-multicore/
>
> _______________________________________________
> R-sig-hpc mailing list
> R-sig-hpc@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-hpc
>

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