Hacker News new | past | comments | ask | show | jobs | submit login

"Neural networks" just mean perceptrons.

Practically, the only thing that matters is that branch prediction assumes that history repeats itself, and that past patterns of a branch being taken in certain conditions will impact it being taken again.

So that means that conditions that are deterministic and relatively constant throughout the lifetime of the program will most likely be predicted correctly, and that rare events will most likely not be predicted correctly. That's all you need to know to write reasonably optimized code.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: