Am 20.09.16 um 09:44 schrieb Peter Otten:
Stefan Behnel wrote:
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Peter Otten schrieb am 19.09.2016 um 14:55:
In [7]: %%cython
def omega(int n):
cdef long i
cdef long result = 0
for i in range(n): result += i
return result
...:
In [8]: %timeit omega(100000)
10000 loops, best of 3: 91.6 µs per loop
Note that this is the worst benchmark ever. Any non-dump C compiler will
happily apply Young Gauß and calculate the result in constant time.
Is that optimization useful in an actual program or just a way to cheat in
benchmarks?
Good question, but I think this falls under "strength reduction" which
is a useful optimization of tight loops in C.
However, I'm not convinced it did succeed here. An evaluation of the
Gauß formula would run in a few *nanoseconds* on any moddern machine. It
may take a microsecond to call a functino from Python. a hundred
microseconds means that the loop does run.
Christian
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