Algorithms/go-perfbook
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Update performance.md
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Damian Gryski 2018-04-24 14:20:52 -07:00 committed by GitHub
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@ -67,7 +67,7 @@ about 97% of the time: premature optimization is the root of all evil. Yet we
should not pass up our opportunities in that critical 3%." -- Knuth
Add: https://www.youtube.com/watch?time_continue=429&v=RT46MpK39rQ
* don't ignore the the easy optimizations
* don't ignore the easy optimizations
* more knowledge of algorithms and data structures makes more optimizations "easy" or "obvious"
"Should you optimize? "Yes, but only if the problem is important, the program
@ -220,7 +220,7 @@ speeding up routine that takes 80% of the time by only 10% will improve runtime
by almost 8%. Profiles will help identify where time is actually spent.
When optimizing, you want to reduce the amount of work the CPU has to do.
Quicksort is faster than bubble sort because it solves then same problem
Quicksort is faster than bubble sort because it solves the same problem
(sorting) in fewer steps. It's a more efficient algorithm. You've reduced the
work the CPU needs to do in order to accomplish the same task.