Earlier quoted context omitted.
Umm, Amdahl's law is actually a negative result . It's saying that if you infinitely improve some magical hotspot that is 1% of your workload, the best you can only ever get to is 99%. If anything, Amdahl is telling us not to grind on trivialities.
That's not how I understood it - I thought it was about the upper limit of theoretical parallelism. But I'm an EE, so maybe I misunderstood some finer points?
Amdahl:
A fairly obvious conclusion which can be drawn at this
point is that the effort expended on achieving high
parallel processing rates is wasted unless it is
accompanied by achievements in sequential processing
rates of very nearly the same magnitude.
http://www-inst.eecs.berkeley.edu/~n252/paper/Amdahl.pdfA point made when we read the paper was that Seymour Cray always made sure that his computers were also the fastest scalar computers even though they were sold as vector processors.