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From: Michael S <already5chosen@yahoo.com>
Newsgroups: comp.lang.c++
Subject: Re: constexpr is really very smart!
Date: Wed, 18 Dec 2024 22:00:06 +0200
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On Wed, 18 Dec 2024 09:45:38 -0800
Tim Rentsch <tr.17687@z991.linuxsc.com> wrote:
> Michael S <already5chosen@yahoo.com> writes:
>
> > On Tue, 17 Dec 2024 12:54:19 -0800
> > Tim Rentsch <tr.17687@z991.linuxsc.com> wrote:
> >
> >> Michael S <already5chosen@yahoo.com> writes:
> >>
> [...]
> >>> #include <stdio.h>
> >>> #include <stdlib.h>
> >>> #include <intrin.h>
> >>>
> >>> static long long fib(long n)
> >>> {
> >>> if (fib <= 0)
> >>> return 0;
> >>> long long f0 = 0, f1 = 1;
> >>> for (long i = 1; i < n; ++i) {
> >>> long long f2 = f0 + f1;
> >>> f0 = f1;
> >>> f1 = f2;
> >>> }
> >>> return f1;
> >>> }
> >>
> >> Here is my second fastest fibonacci calculation code (for
> >> relatively small inputs):
> >>
> >> typedef long unsigned long ULL;
> >>
> >> ULL
> >> fibonacci( unsigned n ){
> >> ULL b = n&1, a = b^1;
> >>
> >> if( n & 2 ) a += b, b += a;
> >> if( n & 4 ) a += b, b += a, a += b, b += a;
> >> if( n & 8 ){
> >> ULL na = 13*a+21*b, nb = 21*a+34*b;
> >> a = na, b = nb;
> >> }
> >>
> >> n >>= 4;
> >> while( n-- ){
> >> ULL na = 610*a + 987*b, nb = 987*a + 1597*b;
> >> a = na, b = nb;
> >> }
> >>
> >> return b;
> >> }
> >
> > From BigO perspective this code looks like it's still O(n) so no
> > better than simple loop.
>
> It is O(n) but it has a smaller constant.
>
> > According to my measurement gear, in range 0 to 92 there are few
> > points where it is faster than simple loop, but in majority of
> > cases it is slower.
>
> I'm at a loss to understand how this could happen. In my own
> measurements, the code shown above runs faster than a simple loop in
> all cases above n > 12, more than twice as fast when n > 17, more
> than three times as fast when n > 42, and going up from there. What
> might account for these radically different results?
May be, number of repetitions?
I run the test only once. That gives relative advantage to smaller
code which is less sensitive to cold ICache and to cold branch
predictors.
Also, because I am running it only once, my test is not so good in
seeing differences between various "good" algorithms.
But I feel that running test once is more realistic.