From: Michael D. <md...@st...> - 2015-03-24 17:27:14
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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... <mailto:chr...@no...>> wrote: > > On Mar 13, 2015, at 12:50 PM, Cyrille Rossant > <cyr...@gm... <mailto: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... > <mailto: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 list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel |