Open GoogleCodeExporter opened 9 years ago
On multicore CPUs it seems to hang always. We have got a problem here.
Original comment by robert.c...@gmail.com
on 20 Feb 2009 at 10:22
It seems to me now that, instead of using the low-level modules like threading
or
multiprocessing, the ipython parallel capabilities [1] are the way to go.
The docs say it explicitly:
"Start a parallel job on your cluster and then have a remote collaborator
connect to
it and pull back data into their local IPython session for plotting and
analysis."
Moreover, everybody working with Python seriously uses ipython :)
[1] http://ipython.scipy.org/doc/stable/html/parallel/parallel_intro.html
Original comment by robert.c...@gmail.com
on 30 Mar 2009 at 3:02
So all that was needed was to change multiprocessing.Queue() to Pipe(), no
ipython or
other external packages were needed.
Original comment by robert.c...@gmail.com
on 6 May 2009 at 1:18
Migrated to http://github.com/sfepy/sfepy/issues/67
Original comment by robert.c...@gmail.com
on 30 Jan 2012 at 10:25
Original issue reported on code.google.com by
robert.c...@gmail.com
on 27 Nov 2008 at 4:01