Hi Volker,
I am building pictures (for representing root systems) having
typically 1000 small polyhedrons of small dimension (2). It's very
nice to be able to express my problem at this level! However, a lot of
time seems to be spent in communications:
sage: %prun RootSystem(["G",2,1]).coambient_space().plot(bounding_box=3)
11585493 function calls (11505945 primitive calls) in 95.937 seconds
Ordered by: internal time
ncalls tottime percall cumtime percall filename:lineno(function)
9756 36.522 0.004 36.522 0.004 {posix.read}
3252 21.061 0.006 21.061 0.006 {posix.fork}
53198 7.324 0.000 13.506 0.000 weakref.py:55(__getitem__)
3887440 6.768 0.000 7.237 0.000 face.py:235(__cmp__)
13433 2.890 0.000 2.890 0.000 {built-in method poll}
8657 1.886 0.000 3.290 0.000 weakref.py:79(__setitem__)
Is this to be expected (i.e. should I try to use less polyhedrons)?
Would you have recommendations? Things are roughly 3 times faster with
the ppl backend, but at this point I can't always have data in QQ.
I can push my code to the sage-combinat queue tomorrow in case you
would like to experiment with it.
Thanks!
Cheers,
Nicolas
--
Nicolas M. Thiéry "Isil" <nthi...@users.sf.net>
http://Nicolas.Thiery.name/
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