Hi there,
So, first ... welcome in the project ;-)
If you want to contribute to the project I can propose you first start
to play with it.
(Launch the test cases etc...)
Also, you can take a look at the CUDA libraries like Thrust :
https://developer.nvidia.com/thrust
There is a lot of very interesting algorithms to work on, by example you
can continue to improve the "sorting" algorithm speed. We need a fast
algorithm for small set ( < 1 millions elements ) and one for larger
sets ( > 1 millions elements ).
But it is up to you... also notice that CLPP support several kind of
hardwares... so it is important to test theses algorithms on different
kind of hardware.
Krys
Le 8/14/2013 11:00 AM, Mahesh Doijade a �crit :
> Hi,
> Myself Mahesh Doijade from India, I have been working in parallel
> computing domain since last more than 3 yrs. and worked on various
> parallel programming paradigms such as MPI, OpenMP, UPC, CUDA, OpenCL.
> I am very much interested in this project and eager to contribute to
> it if provided an opportunity can you please add me and provide some
> pointers to begin with.
> --
> You received this message because you are subscribed to the Google
> Groups "clpp" group.
> To unsubscribe from this group and stop receiving emails from it, send
> an email to
cl-pp+un...@googlegroups.com.
> For more options, visit
https://groups.google.com/groups/opt_out.
>
>