Hi,
are there any python construct that the jit will be able to compile
into c-type array accesses? Consider the following test:
l=0.0
for i in xrange(640,640*480):
l+=img[i]
intimg[i]=intimg[i-640]+l
With the 1.3 release of the jit it executes about 20 times slower than
a similar construction in C if I create the arrays using:
import _rawffi
RAWARRAY = _rawffi.Array('d')
img=RAWARRAY(640*480, autofree=True)
intimg=RAWARRAY(640*480, autofree=True)
Using a list is about 40 times slower and using array.array is about
400 times slower. Any suggestion on how to improve the performance of
these kind of constructions?
Thanx.
--
Håkan Ardö
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