Re: [matplotlib-devel] Make matplotlib running on GPU/CUDA

[Francesco F. <f.f...@gm...>]

Thank you Chris for your reply.

I have to admit I already stumbled on VisPy while doing my research on the
web. Still, I've got a lot of code already working with *matplotlib*.
Indeed, not only I plot data with it, but i manage a lot of *mpl events* to
provide the users usefool tools, like lines picking, tooltips, lines
copy/paste, square selectors for multiple selections, context menu and so
on. Moreover, I got matplotlib *embedded *on *wxpython *as well. While at
the beginning few lines were managed and noone complained, now that big
amout of data has to be displayed, the non-GPU core of the library is
starting to show its limits.

Since matplotlib is a reference library for this kind of  applications, I
thought it deserved an update in this direction. If anyone is willing to do
so, I'm available to discuss possible solutions and also provide any help I
can give.

Best regards,
Francesco Faccenda

2017-09-13 0:46 GMT+02:00 Chris Barker <chr...@no...>:

> On Tue, Sep 12, 2017 at 8:47 AM, Francesco Faccenda <
> f.f...@gm...> wrote:
>
>> But there’s a good news, I have a nice GPU available (an NVIDIA Tesla
>> K40c), so I’d like to know if there is a way to make matplotlib run on it,
>> or maybe wrap it on some GPU/CUDA wrapper and make it run smoothly.
>>
>
> I tihnk you want VisPy:
>
> https://vispy.readthedocs.io/en/latest/
>
> It's a plotting package with a kinda like  matplotlib API, built on OpenGL.
>
> Unfortunately, it doesn't look like it's been updated in a while -- from
> teh docs. But the gitHub project is active:
>
> https://github.com/vispy/vispy
>
> So maybe it's only the docs that haven't been updated!
>
> But probably  a much better option than trying to shoehorn GPU rendering
> into MPL.
>
> The problem is that while MPL was designed to be "backend" independent --
> so it is "easy" to plug in an alternative renderer, the rendering model is
> not really well suited to GPU rendering -- it would take a lot of
> refactoring to really be able to take advantage of the graphics card.
>
> -CHB
>
>
> --
>
> Christopher Barker, Ph.D.
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