Newbie queue question
jure.erznoznik at gmail.com
Fri Jun 19 09:29:11 CEST 2009
I've done some further testing on the subject:
I also added some calculations in the main loop to see what effect
they would have on speed. Of course, I also added the same
calculations to the single threaded functions.
They were simple summary functions, like average, sum, etc. Almost no
interaction with the buffers was added, just retrieval of a single
Single threaded, the calculations added another 4.3 seconds to the
processing time (~18%)
MultiThreaded, they added 1.8 seconds. CPU usage remained below 100%
of one core at all times. Made me check the process affinity.
I know the main thread uses way less CPU than DBF reading thread (4
secs vs 22 secs).
So I think adding these calculations should have but a minimal impact
on threaded execution time.
Instead, the execution time increases!!!
I'm beginning to think that Python's memory management / functions
introduce quite a significant overhead for threading.
I think I'll just write this program in one of the compilers today to
verify just how stupid I've become.
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