Utkarsh, Berk,
It makes sense to me too.
Good, I will file a bug report so this doesn't get lost.
Having said that, wouldn't it be better to go to the next step and use
a frozen Python?
Anything to improve the scalability of python would be huge and worth
looking into.
NERSC maintains python and thing like mpi4py, numpy, matplotlib, etc.
They chose to add the later stuff externally to their base python
install (maybe it doesn't matter). When I build ParaView I have those
modules loaded and cmake finds things as it needs. When I run ParaView I
load the modules to bring the right versions/components into the
environment.
I'm unfamiliar with freezing python and how it would work with pvserver,
pvbatch, or pvpython. Question: how/what do we freeze in the pvserver case?
Thanks
Burlen
On 02/06/2015 12:19 PM, Berk Geveci wrote:
It makes sense to me too.
Having said that, wouldn't it be better to go to the next step and use
a frozen Python? If all of the commonly used Python modules are frozen
to the build, loading them will become much faster. The solution that
you are proposing only defers the cost to later. Given that we are
depending on Python more and more, I'd like to see it be usable
everywhere.
Best,
-berk
On Fri, Feb 6, 2015 at 2:14 PM, Utkarsh Ayachit
<[email protected] <mailto:[email protected]>> wrote:
> I think in the case of ParaView's matplotlib tex features the run time
check
> for matplotlib could probably be deferred until someone actually
tries to
> use tex. What do you think? This would help keep startup time fast.
That makes total sense to me.
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