On Thu, 6 Jul 2006, Travis Oliphant wrote:
> Arnd Baecker wrote:
> > Hi
> >>> i made some speed tests using the sin-function and the %-operation to
> >>> compare
> >>> Numeric, numpy 0.9.8 and numpy 0.9.9.2732.
> >>> As result the latest numpy version seems to be very slow in comparison to
> >>> the
> >>> two other candidates.
> >>>
>
> Arrgggh.
>
> It looks like a pre-mature return statement was causing scalarmath not
> to load and therefore none of it's speed ups are present until this SVN.
>
> Thanks for the speed test...
Well, the thanks for this go to Steffen (who wrote the text above and the
test, not me ;-).
Concerning the speed the thanks go to you:
Results (in usec per loop):
sin-array mod-array
Numeric 34 7
numpy 0.9.9.2732 56 92
numpy 0.9.9.2732 + math 42
Numeric + math 8
*and now*
Results (in usec per loop):
sin-array mod-array
Numeric 33 7
numpy 0.9.9.2749 30 17.6
numpy 0.9.9.2749 + math 13
Numeric + math 8
Bingo! Only numpy 0.9.9.2749 + math is slower than
Numeric+math by a factor 1.6 and mod-array is 2.5 times slower
than numpy.
It would be nice if you could have a look at the module operation,
if possible ...
Many thanks,
Arnd
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