On Mon, Jan 12, 2009 at 4:20 PM, <calcp...@aol.com> wrote: > In a message dated 1/12/2009 6:30:50 P.M. Eastern Standard Time, > mhan...@gmail.com writes: > > If one were doing this on a cluster, you'd start workers on each of > the machines in the cluster and then have each of those workers > connect to a single server. > > Wow, thanx Mike for all that info! You've got the ball rolling for sure. > So, what you have detailed is for running on a single multicore PC? I have > 25 dualcores, how do I set up a cluster using all 50 cores if I needed them?
You just need to have Sage on all of the machines and then on each of them you'd run sage: dsage.worker(server='address_of_dsage_server', port=dsage_server_port, workers=2) to start 2 workers (processes). The DSage server can be started on one machine with the dsage.server() method. Look at dsage.server? for its options. Once the server is started, you can get a connection to it with dsage.connect(). Again, look at its docstring for the options it takes. The output of dsage.connect() will be the object you use to send jobs to the server. The server then will handle distributing the jobs to the workers that are connected to it. --Mike --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sage-edu" group. To post to this group, send email to sage-edu@googlegroups.com To unsubscribe from this group, send email to sage-edu+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-edu?hl=en -~----------~----~----~----~------~----~------~--~---
