[Numpy-discussion] strange sin/cos performance
David Cournapeau
cournape@gmail....
Mon Aug 3 08:44:28 CDT 2009
On Mon, Aug 3, 2009 at 10:32 PM, Andrew Friedley<afriedle@indiana.edu> wrote:
> While working on GSoC stuff I came across this weird performance behavior
> for sine and cosine -- using float32 is way slower than float64. On a 2ghz
> opteron:
>
> sin float32 1.12447786331
> sin float64 0.133481025696
> cos float32 1.14155912399
> cos float64 0.131420135498
Which OS are you on ? FWIW, on max os x, with recent svn checkout, I
get expected results (float32 ~ twice faster).
>
> The times are in seconds, and are best of three runs of ten iterations of
> numpy.{sin,cos} over a 1000-element array (script attached). I've produced
> similar results on a PS3 system also. The opteron is running Python 2.6.1
> and NumPy 1.3.0, while the PS3 has Python 2.5.1 and NumPy 1.1.1.
>
> I haven't jumped into the code yet, but does anyone know why sin/cos are
> ~8.5x slower for 32-bit floats compared to 64-bit doubles?
My guess would be that you are on a platform where there is no sinf,
and our sinf replacement is bad for some reason.
> Side question: I see people in emails writing things like 'timeit foo(x)'
> and having it run some sort of standard benchmark, how exactly do I do that?
> Is that some environment other than a normal Python?
Yes, that's in ipython.
cheers,
David
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