Hi All, Can someone point me in the direction of material that can explain how RTEMS uses the MMU on an ARM processor (specifically the ARM11 that the Raspberry Pi uses)? I want to see if there are any optimizations I make in code to take better advantage of how the memory access system works.
My reasoning for trying this is I have a bit of software that is taking several 12x12 matrices and vectors of similar size and multiplying/adding/inverting them all together a few hundred times over. These are all float type, and while I know the sheer calculation time is quite high the measured execution time is much higher than it should be leading to me suspect that there is memory bottle neck. What I would like to know is how the caching system works so I can maybe make adjustments to take better advantage of the cache and possibly reduce execution time. This code is also being generated using Matlab's C Autocoder so that code itself isn't exactly readable (but being that I'm using a University Matlab license for free, I can't complain too much) so I'd like to try and keep manual adjustments to a minimum. If anyone knows of tricks to get autocoder to play nicer, that would be great too. Thanks! Will Busacker _______________________________________________ users mailing list users@rtems.org http://lists.rtems.org/mailman/listinfo/users
