I'm trying to figure out the actual potential of the codegen capabilities on the GPU. In particular there are two points that I are not addressed explicitly in the online documentation (or I couldn't find the info).
*) First, it seems that the gpuArray type cannot be used as input. This is surprising, as it reduces drastically the applicability of mex functions generated with codegen... Is there a way to create mex files that accept gpuArray vectors as rhs?
*) Second, codegen throws a warning when input arguments of matrices that will be sent to the GPU (by a coder.gpu.kernelfun pragma inside the .m file) are declared to be of variable size using coder.typeof(). Again, a significant restriction on the usability of codegen.... Am I missing something here? Is there a way to trick codegen into accepting dynamically sized arrays as input for GPU processing?