> Can someone recommend a parallelization approach? Are there examples or > documentation? Has someone got experience with stability and efficiency?
I am successfully using pyro http://pyro.sourceforge.net for my parallelization task (8 node Linux cluster, embarrassing parallel). It comes with a good documentation and it is easy to use. It works on clusters as well as on heterogeneous networks. You just need to start a server on each cluster node (e.g. rsh node1 startserver.py). You also need a name server running (maybe on your master node). Then a client can just asks a server to calculate and gets some result back. You can also send an object that calculates on the server and comes back including the result. There are some examples included in the documentation you can start with and just change the parts that are specific to your application. It is easy to understand and use and has been working well for me for more than 2 years. Mike -- http://mail.python.org/mailman/listinfo/python-list
