[techhelpbb]

All for multiple ARM processors clustered to perform operations (it's something I actually use not as part of FIRST).

A control system I helped propose to FIRST actually used a similar idea to expand motion and sensor processing using the Parallax Propellers stacked up.

Still have 400+ 68360 CPU cards in VME chassis in my garage arranged as a mainframe.

However I'd like to see a comparison of this against a NVidia or Kangaroo because it seems this is a very hardware intensive way to arrive at parallel processing cores in this situation. It would also seem harder to optimize the operations because you end up doing interprocess communications over actual sockets on physical NICs rather than by sharing an array in memory. I can easily see how first you'll end up with collisions, then having to introduce hardware switches to your robot. Finally ending up with network tuning issues that will never be faster than the RAM on the ARM boards would have been.

I wonder how some of the posters in this topic feel about OpenCL consider the issues they have with NVidia's Cuda. I've used OpenCL quite adequately and there is support for OpenCL (though less optimized) with some of NVidia's product line. It's kind of strange to suggest that NVidia's business practices are horrible when both AMD/Intel via Intel Management Engine and AMD PSP have basically locked out the development of 3rd party boot firmware for the latest generations of processors which along those same lines does not lead to market diversity (note it is under the pretense of a security solution).