[Xapian-discuss] Contribute in the Xapian project throgh GSoC.

[Shreedhar Pawar]

Thanx for a prompt reply.

I was thinking  that the Xapian Search/Letor Algorithm,  can speed up using
 Parallel computing. Techniques like Map-reduce, 'compact n split', radix
sort, scan,  parallel hashing n much more can be used to speed up the
learning algorithms as well  as the search... support vector machines in
the Letor algorithm involves heavy computations at the training data-set
stage which could be speed up again by using parallel computing. Should I
consider this for writing my proposal, I mean are there any chances that we
implement Letor in a Parallel way...? OpenCL is an open source parallel
computing language which can be implemented with C/C++ and we get much help
on forums.

Regards,
Shreedhar.


On Sun, Mar 16, 2014 at 2:16 AM, Olly Betts <olly at survex.com> wrote:

> On Sun, Mar 16, 2014 at 12:34:49AM -0700, Shreedhar Pawar wrote:
> > I  think that I would be able to contribute in the Learning to Rank and
> the
> > Cluster Analysis algorithms. Having studied it in my undergrad, I have a
> > deep understanding of support vector machines, supervised and
> unsupervised
> > learning and have implemented codes in Matlab and Python in my lab work.
>
> Hi Shreedhar,
>
> Thanks for introducing yourself.
>
> If you haven't already, I'd recommend reading our guide to GSoC, which
> should help with the next steps:
>
> http://trac.xapian.org/wiki/GSoC%20Guide
>
> While you're welcome to submit multiple proposals based on different
> project ideas, we'd generally recommend you focus on one, unless you
> have a lot of spare time before the submission deadline.
>
> Cheers,
>     Olly
>