It's a good analogy. In particular, GPUs completely broke the trajectory of benefitting from carefully-managed compute granularity. One could say that CS/EE is

It's a good analogy. In particular, GPUs completely broke the trajectory of benefitting from carefully-managed compute granularity. One could say that CS/EE is now back-filling harder problems that didn't demand to be solved over the last decade because of GPUs. Optimizing for cache management and branch prediction is very difficult. And most programming is done a level of abstraction that isn't amenable to staying portable (i.e. staying nimble) after optimization. Plug: Staying algorithmically nimble after optimization is a problem we've "solved for" at our startup (monument.ai)