[SciPy-dev] Speed tests

[Travis Oliphant]

Currently, there is a bit more overhead for ufuncs in scipy core then 
there was in Numeric.

This overhead is not especially significant for large arrays.  However, 
for small arrays, it can mean 2x-3x slowdown.  The code attached shows a 
case where I observe a 2x slowdown.

About half of the overhead is due to looking up an error mask, a 
callback function, and a buffer size in the local, global, and builtin 
scope.  (If I just use defaults and don't try and look them up, the 
slow-down shown by the attached test goes to about 50% slower).  

So, the question is, Is this acceptable, or should a different approach 
to setting the error mask be taken?

I can immediately see that even if we keep the current method, I need to 
fix things so that only one look-up is done (and a tuple returned) 
instead of three  separate lookups. 

Any ideas?

-Travis






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