R help - Mar 2016 - Open source project that needs performance optimizations

Hello,
i am an undergraduate student on computer engineering and im  
considering to do my thesis to an open source project and make  
performance optimizations and/or add parallelism to it where possible  
(or even better make use of GPU). Do you think that R-project is a  
good candidate?

Thanks,
Psathas Neilos

I am not up on the internals of R but there does seem some run for 
parallelism. Are we talking about special hardware? or running this on 
an Intel Box? If it is the second, then I am thinking threads would be 
the way to go. Please consider the following
R statements:
     for( i in 1:30 )    a[i] = f1(i)
Would it make sense to  setup a separate thread for each call to f1?  I 
think it in most cases, the answer is no but on some machines and 
depending on the running time of f1, it could be a big win. Also, does 
the user have to change his code, or would R be
smart enough to do the work behind the scenes. I consider the second to 
be significantly better than the first.

You may also want to look at the following URL
http://stackoverflow.com/questions/1395309/how-to-make-r-use-all-processors

Bob

On 3/27/2016 11:52 AM, PSATHAS NILOS-HRISTOS wrote:
> Hello,
> i am an undergraduate student on computer engineering and im 
> considering to do my thesis to an open source project and make 
> performance optimizations and/or add parallelism to it where possible 
> (or even better make use of GPU). Do you think that R-project is a 
> good candidate?
>
> Thanks,
> Psathas Neilos
>
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