Developing for CUDA on "cheap" GPUs

Question

I develop algorithms in CUDA on my desktop which should later run on a server.

Is it okay to use a recent low end card (like compute capability 2.1) to get all the nice debug and profiling features and then put the code on the server with the high end card (with the same cc)? Would I just need to adjust the thread/mesh sizes, or does it change everything™.

Example: I would develop on a Quadro 600 and the server would use a Tesla C2075.

Answer 1

As long your kernel call and kernel itself is scalable you have no problem.

Check out this question:

CUDA development on different cards?