Python memory use (psyco, C++)
Mon Jun 21 19:26:45 CEST 2004
Roy Smith <roy at panix.com> writes:
> I understand that psyco significantly increases memory use. Is that for
> code or data?
It's for code. Psyco generates code on the fly each time it hits a new
combination of datatypes anyplace in the code.
> More specifically, if I've got a memory intensive
> application (it might use 100's of Mbytes of data), should I expect
> memory use to go up significantly under psyco?
> Also, for that memory intensive application, how should I expect Python
> memory use to compare with C++? I'm really only interested in data; the
> memory needed to store the code is almost certainly insignificant in
> either case.
> The data is a large number of small objects, interconnected in various
> data structures, not just one huge block of raw data.
If you just code straightforwardly, Python will use a lot more memory.
There may be simple, application-specific things you can do to reduce
the memory footprint.
> I know all of the above is very vague, but I'm just trying to get a
> rough idea if a Python implementation is feasable (or at least
> plausable). If a C++ version takes 300 Mbytes and a Python version
> takes 1 Gig, that's probably not going to work. Are there any rules of
> thumb I could use to get a first-order estimate?
There's a minimum of around 12 (?) bytes of overhead for any Python
object including integers. So if your objects are all very small, you
will get killed.
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