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

[Francesco Faccenda]

Greetings to everyone,



I'm Francesco Faccenda and I'm developing a sfotware in *python* where I
need to show some charts, so I chose matplotlib as a plot library. Anyway,
since lots of data are shown on matplotlip stages (thousands of curves with
hundreds of points each), the charts become very heavy, interactive events
and functions start lagging and users experience becomes unacceptable.



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.



Do you have any suggestion how to do it? I never went through matplotlib
source code before and I don’t know if this feature has already been
scheduled for future releases or it’s something completely new.

I would really appreciate some suggestions on this subject.



Thank you in advance.



Best regards,

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

[Chris Barker]

On Tue, Sep 12, 2017 at 8:47 AM, Francesco Faccenda 
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


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