[SciPy-Dev] GSoC 2018: Blendenpik (A least-square solver)

[Ralf Gommers]

Hi Jordi,

On Wed, Feb 28, 2018 at 7:51 AM, Jordi Montes <jomsdev at gmail.com> wrote:

> Hello,
>
> I am Jordi Montes, an enthusiastic student of discrete mathematics wanting
> to participate in this GSoC.
>
> My idea is to take advantage of the current method for dimensinality
> reduction of scipy (clarkson_woodruff_transformation) and build a
> least-square solver on top of it. The principal motivation is that it
> outperforms the other solvers in many real world applications, even those
> in LAPACK.
>
> I already discussed this in the mailing list before the GSoC admission
> term started, but I have also written a formal proposal (which is attached
> in this email).
>

That looks like a good start! Note that the proposal you have submit to
Google needs to have some sections that you are still missing, like a
timeline (broken down by week, with the work for that week) and links to
previous PRs. Here is the PSF template info to use:
http://python-gsoc.org/studenttemplate.html

It would be useful to reference Blendenpik and add a few more details about
it. Think also about answering a few obvious questions about it, like what
are the main challenges when implementing it, and how do you benchmark its
performance.

It's great to see that you've found a co-mentor who is intimately familiar
with the domain and algorithms.

Cheers,
Ralf


> As always, feel free to ask about any doubt that comes to your mind or
> point to any improvement that you think I could make.
>
>
> Thanks,
>
> Jordi.
>
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