Comment by lenerdenator
5 days ago
Also, that engineer time you would spend optimizing for performance costs more than just throwing more hardware at it.
5 days ago
Also, that engineer time you would spend optimizing for performance costs more than just throwing more hardware at it.
For cloud jobs that can be true, but for single threaded dev-in-the-loop work you can't just buy a 100x faster processor than the one on their dev machine, and the latency is expensive workflow friction.
Not if you have certain types of scientific data. You can't rent enough hardware to run the slow code.
That's the thing with single threaded CPU operations, you can't throw more hardware at it
In this situation, "more hardware" would mean throwing a faster CPU at it.
It caps out quickly. If you have a newish Mac, you're already pretty much at the max.