For parallel/backround processing the two PRUs may be more suitable. But I'd guess you would have to implement the code for your own and will not see large speed improvements when you often have to access main RAM (but any GPU computation - if possible - would suffer from the same problem).
Am Dienstag, 1. Dezember 2015 23:40:33 UTC+1 schrieb Yang Yang: > > I'm trying to implement some computer vision algorithms for my robot, > based on beagle board black. > > vision processing is very CPU intensive, so I was wondering if there are > any existing frameworks for running parallel computations on GPU , > particularly on beagle board > > thanks > Yang > -- For more options, visit http://beagleboard.org/discuss --- You received this message because you are subscribed to the Google Groups "BeagleBoard" group. To unsubscribe from this group and stop receiving emails from it, send an email to beagleboard+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
