I recall that I have read something in this forum about a maximum total parameter size when executing a kernel, but I can’t seem to find the post in question. The CUDA programming guide states (p. 23, section 4.2.3) that the specified amount of dynamically allocated shared memory can not be larger than
total available shared memory - the amount of statically allocated shared memory - the amount of shared memory used for function arguments - the amount of shared memory used for execution configuration
So, does this mean that the memory used for kernel parameters is actually shared memory? And does this in turn mean that the maximum size of parameters is only restricted by the shared memory size or are there also other limiting factors?
Thank you in advance,