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Thu Feb 17 02:26:16 CET 2005 · https://mail.python.org/pipermail/python-dev/2005-February/051612.html

On Feb 16, 2005, at 18:42, Martin v. Löwis wrote:
> I must admit that I'm surprised. I would have expected
> that most allocations in Python go through obmalloc, so
> the heap would only see "large" allocations.
>
> It would be interesting to find out, in your application,
> why it is still an improvement to use the low-fragmentation
> heaps.

Hmm... This is an excellent point. A grep through the Python source 
code shows that the following files call the native system malloc (I've 
excluded a few obviously platform specific files). A quick visual 
inspection shows that most of these are using it to allocate some sort 
of array or string, so it likely *should* go through the system malloc. 
Gfeller, any idea if you are using any of the modules on this list? If 
so, it would be pretty easy to try converting them to call the obmalloc 
functions instead, and see how that affects the performance.

Evan Jones

Demo/pysvr/pysvr.c
Modules/_bsddb.c
Modules/_curses_panel.c
Modules/_cursesmodule.c
Modules/_hotshot.c
Modules/_sre.c
Modules/audioop.c
Modules/bsddbmodule.c
Modules/cPickle.c
Modules/cStringIO.c
Modules/getaddrinfo.c
Modules/main.c
Modules/pyexpat.c
Modules/readline.c
Modules/regexpr.c
Modules/rgbimgmodule.c
Modules/svmodule.c
Modules/timemodule.c
Modules/zlibmodule.c
PC/getpathp.c
Python/strdup.c
Python/thread.c

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Showing content from https://mail.python.org/pipermail/python-dev/2005-February/051612.html below:

[Python-Dev] Windows Low Fragementation Heap yields speedup of ~15%