I think I read something about Apple making reference counting faster using hardware. Machine learning asics are prone to having instructions that correspond t

I think I read something about Apple making reference counting faster using hardware. Machine learning asics are prone to having instructions that correspond to activation functions. tanh, sigmoid etc. A reasonable approach is to take a risc ISA and add domain specific instructions onto it. That gets you straightforward codegen and implementation for the 90% case and magic instructions to make the important path very fast.