>it's not clear you will be able to write a fast kernel (emphasis on fast) without having as much GPU/CUDA knowledge as what's required to write the same fast k

>it's not clear you will be able to write a fast kernel (emphasis on fast) without having as much GPU/CUDA knowledge as what's required to write the same fast kernel in CUDA. I might be wrong, and if so that would be great. What I showed was the the essentially no-knowledge pure Julia code gets to ~60% of the optimized CUDA kernel that libraries tend to wrap. Take that as you will for whether that means that means that a user requires to write a "fast kernel": it's a data point and if you define that as fast enough then Julia does it, or if you require 100% as fast as the fastest CUDA kernel ever found :shrug: it doesn't get there quite yet because there's a lot of people working on getting it there.