Numerical computing is important for science in general, and really hard. But if you're perfectly fine with the current state of software, then sure, there's n

Numerical computing is important for science in general, and really hard. But if you're perfectly fine with the current state of software, then sure, there's no need to change anything. Future CPUs will gain an increasing amount of their performance from parallelism - both coarse- (more cores) and fine-grained (better vector units), but there is no reason we have to exploit it. I suspect many people will want to, however, and they will likely find current programming models somewhat awkward.