On Wed, Sep 09, 2015 at 04:52:39PM -0400, Gary Robinson wrote: > I’m going to seriously consider installing Windows or using a > dedicated hosted windows box next time I have this problem so that I > can try your solution. It does seem pretty ideal, although the STM > branch of PyPy (using http://codespeak.net/execnet/ to access SciPy) > might also work at this point.
I'm not sure how up-to-date this is: http://pypy.readthedocs.org/en/latest/stm.html But it sounds like there's a 1.5GB memory limit (or maybe 2.5GB now, I just peaked at core.h linked in that page) and a 4-core segment limit. PyParallel has no memory limit (although it actually does have support for throttling back memory pressure by not accepting new connections when the system hits 90% physical memory used) and no core limit, and it scales linearly with cores+concurrency. PyPy-STM and PyParallel are both pretty bleeding edge and experimental though so I'm sure we both crash as much as each other when exercised outside of our comfort zones :-) I haven't tried getting the SciPy stack running with PyParallel yet. Trent. _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
