Can you explain the benefit of renaming dataflow as 'neuromorphic'?
You do understand that dataflow architectures have been tried many many times? See [1] for a brief history. MIT had a bit dataflow lab for many years (lead by the recently deceased Arvind).
What is the benefit of re-inventing dataflow architectures by complete amateurs who are not at all aware of the 1/2 century research tradition on dataflow architecture, and the very clear and concrete reasons when this architecture has so far failed whenever it was tried for general purpose processors?
We can not even apply Santayana's "those who forget their history are condemned to repeat it because the 'neuromorphic' milieu doesn't even bother understanding this history.
You do understand that dataflow architectures have been tried many many times? See [1] for a brief history. MIT had a bit dataflow lab for many years (lead by the recently deceased Arvind). What is the benefit of re-inventing dataflow architectures by complete amateurs who are not at all aware of the 1/2 century research tradition on dataflow architecture, and the very clear and concrete reasons when this architecture has so far failed whenever it was tried for general purpose processors?
We can not even apply Santayana's "those who forget their history are condemned to repeat it because the 'neuromorphic' milieu doesn't even bother understanding this history.
[1] https://csg.csail.mit.edu/Dataflow/talks/DennisTalk.pdf