[Python-Dev] int/float freelists vs pymalloc
mal at egenix.com
Fri Feb 8 12:23:46 CET 2008
On 2008-02-08 08:21, Martin v. Löwis wrote:
>> One of the hopes of having a custom allocator for Python was to be
>> able to get rid off all free lists. For some reason that never happened.
>> Not sure why. People were probably too busy with adding new
>> features to the language at the time ;-)
> Probably not. It's more that the free lists still outperformed pymalloc.
>> Something you could try to make PyMalloc perform better for the builtin
>> types is to check the actual size of the allocated PyObjects and then
>> make sure that PyMalloc uses arenas large enough to hold a good quantity
>> of them, e.g. it's possible that the float types fall into the same
>> arena as some other type and thus don't have enough "room" to use
>> as free list.
> I don't think any improvements can be gained here. PyMalloc carves
> out pools of 4096 bytes from an arena when it runs out of blocks
> for a certain size class, and then keeps a linked list of pools of
> the same size class. So when many float objects get allocated,
> you'll have a lot of pools of the float type's size class.
> IOW, PyMalloc has always enough room.
Well, yes, it doesn't run out of memory, but if pymalloc needs
to allocate lots of objects of the same size, then performance
degrades due to the management overhead involved for checking
the free pools as well as creating new arenas as needed.
To reduce this overhead, it may be a good idea to preallocate
pools for common sizes and make sure they don't drop under a
Here's a list of a few object sizes in bytes for Python 2.5
on an AMD64 machine:
>>> import mx.Tools
8-bit strings are var objects:
Unicode objects use an external buffer:
Lists do as well:
Tuples are var objects:
Old style classes:
>>> class C: pass
New style classes are a lot heavier:
>>> class D(object): pass
As you can see, Integers and floats fall into the same pymalloc size
class. What's strange in Andrew's result is that both integers
and floats use the same free list technique and fall into the same
pymalloc size class, yet the results are different.
The only difference that's apparent is that small integers are
shared, so depending on the data set used for the test, fewer
calls to pymalloc or the free list are made.
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