3 ms·

I'm not sure that's a given, who's to say we won't be happy with the current performance we have?

• skohan 7y ago
  There are still problems, like protein folding, or training larger and larger deep learning models, which have nowhere near the performance you'd actually want in a perfect world. There's always going to be a bigger target in some of these domains, and it would be a shame to imagine we'll reach a ceiling in some areas of scientific inquiry because of hardware limitations.
  • foota 7y ago
    This is true, but imo most the gains outside of traditional CPU improvements will be either in specialized hardware or algorithms, I don't see much room for improvement in like optimizing code there.