Re: [matplotlib-devel] Kivy backend

[Achyut R. <ras...@gm...>]

No, sorry that was probably a mistake on my part, I thought that I would
find the list of backends in __init__.py instead of
https://github.com/rastogiachyut/matplotlib/blob/master/lib/matplotlib/rcsetup.py#L31

On Tue, Mar 24, 2015 at 10:45 PM, Michael Droettboom <md...@st...>
wrote:

>  Giving it a cursory glance, I think it's mostly current.  Is there
> something specific that isn't working for you?
>
> Mike
>
>
> On 03/23/2015 08:09 AM, Achyut Rastogi wrote:
>
>  Hello,
>  I am having trouble following the instructions given here -->
> https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/backends/backend_template.py#L16
> it feels like the code was refractored (changed?) and those instructions
> never updated?
>
> On Sun, Mar 15, 2015 at 6:23 AM, Chris Barker - NOAA Federal <
> chr...@no...> wrote:
>
>> On Mar 13, 2015, at 12:50 PM, Cyrille Rossant <cyr...@gm...>
>> wrote:
>>
>> > Exactly. Note that pushing data on the GPU is not that slow:
>>
>> No -- and something has to be pushed to the video card at some point
>> anyway.
>>
>> But my experience is that if you need to push the data to the CPU,
>> that pretty much overwhelms the advantages you get by rendering on the
>> GPU.
>>
>> And OpenGL only supports simple primitives -- so it's substantially
>> more a pain to do something as sole as render a filled polygon, let
>> alone a spline.
>>
>> And yes, back In the day, it was faster to render on the video card,
>> but CPUs have gotten a lot faster, and memory busses not so much.
>>
>> But whatever, I think we all agree that pushing the transformations to
>> the GPU is the big win.
>>
>> -CHB
>>
>> > in one
>> > second, you can send hundreds of millions of points on a modern GPU.
>> > However it would be a bit slow to send large amounts of data at every
>> > frame.
>> >
>> > GPU-based transformations are extremely fast, and you have full
>> > control on how they're implemented; in the end, it's just arbitrary C
>> > code that runs on the GPU on a per-vertex or per-pixel basis.
>>
>>
>> ------------------------------------------------------------------------------
>> Dive into the World of Parallel Programming The Go Parallel Website,
>> sponsored
>> by Intel and developed in partnership with Slashdot Media, is your hub
>> for all
>> things parallel software development, from weekly thought leadership
>> blogs to
>> news, videos, case studies, tutorials and more. Take a look and join the
>> conversation now. http://goparallel.sourceforge.net/
>> _______________________________________________
>> Matplotlib-devel mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>
>
>
>
> ------------------------------------------------------------------------------
> Dive into the World of Parallel Programming The Go Parallel Website, sponsored
> by Intel and developed in partnership with Slashdot Media, is your hub for all
> things parallel software development, from weekly thought leadership blogs to
> news, videos, case studies, tutorials and more. Take a look and join the
> conversation now. http://goparallel.sourceforge.net/
>
>
>
> _______________________________________________
> Matplotlib-devel mailing lis...@li...https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
>
>
>
> ------------------------------------------------------------------------------
> Dive into the World of Parallel Programming The Go Parallel Website,
> sponsored
> by Intel and developed in partnership with Slashdot Media, is your hub for
> all
> things parallel software development, from weekly thought leadership blogs
> to
> news, videos, case studies, tutorials and more. Take a look and join the
> conversation now. http://goparallel.sourceforge.net/
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
>