This is a great summary of the issues related to OpenGL, and how it can help but is not a universal panacea.
Thanks, Mike On 12/18/2012 08:53 AM, Sturla Molden wrote: > Interactive 2D plots can be sluggish too, if you have enough objects in > them. It is not the backend that is sluggish. Replacing the backend does > not speed up the frontend. > > OpenGL is only 'fast' if you have a frontend that exploits it (e.g. uses > vertex buffers and vertex shaders). If you just use OpenGL for > bitblitting an image or drawing vertices individually (glVertex*), it is > not going to help at all. > > My impression is that whenever Matplotlib is 'too slow', I have to go > down to the iron and use OpenGL directly. It tends to happen when there > are too many objects to draw, and the drawing has to happen in 'real-time'. > > Observe that if we let OpenGL render to a frame buffer, we can copy its > content into a Matplotlib canvas. Unless we are doing some really heavy > real-time graphics, displaying the image is not going to be the speed > limiting factor. Even though using OpenGL to swap framebuffers will be > 'faster', you will not be able to tell the difference in an interactive > Matplotlib plotting. > > Sturla > > > On 14.12.2012 15:51, Ethan Gutmann wrote: >> Hi Neal, my understanding is that matplotlib does not use OpenGL (thus >> the terrible performance you see). You might want to look into glumpy >> for mplot3d OpenGL acceleration. >> >> Ethan >> >> >> On Dec 14, 2012, at 5:23 AM, Neal Becker<ndbeck...@gmail.com> wrote: >> >>> I'm using fedora (17) linux. I notice on complicated 3d plot, interactive >>> performance can get sluggish. I'm using nouveau driver now, but wondering >>> if >>> installing nvidia driver will improve mpl 3d performance? Does mpl use >>> opengl? >>> >>> >>> ------------------------------------------------------------------------------ >>> LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial >>> Remotely access PCs and mobile devices and provide instant support >>> Improve your efficiency, and focus on delivering more value-add services >>> Discover what IT Professionals Know. Rescue delivers >>> http://p.sf.net/sfu/logmein_12329d2d >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> ------------------------------------------------------------------------------ >> LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial >> Remotely access PCs and mobile devices and provide instant support >> Improve your efficiency, and focus on delivering more value-add services >> Discover what IT Professionals Know. Rescue delivers >> http://p.sf.net/sfu/logmein_12329d2d >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ > LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial > Remotely access PCs and mobile devices and provide instant support > Improve your efficiency, and focus on delivering more value-add services > Discover what IT Professionals Know. Rescue delivers > http://p.sf.net/sfu/logmein_12329d2d > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
