John Brawley wrote: >Greetings, all. >I have a program I'm trying to speed up by putting it on a new machine. >The new machine is a Compaq W6000 2.0 GHz workstation with dual XEON >processors. >I've gained about 7x speed over my old machine, which was a 300 MHz AMD >K6II, but I think there ought to be an even greater speed gain due to the >two XEONs. >However, the thought occurs that Python (2.4.1) may not have the ability to >take advantage of the dual processors, so my question: >Does it? > > Sure, but you have to write the program to do it. One Python process will only saturate one CPU (at a time) because of the GIL (global interpreter lock). If you can break up your problem into smaller pieces, you can do something like start multiple processes to crunch the data and use shared memory (which I haven't tinkered with...yet) to pass data around between processes. Or an idea I've been tinkering with lately is to use a BSD DB between processes as a queue just like Queue.Queue in the standard library does between threads. Or you could use Pyro between processes. Or CORBA.
>If not, who knows where there might be info from people trying to make >Python run 64-bit, on multiple processors? >Thanks! > >John Brawley > > >-- >peace >JB >[EMAIL PROTECTED] >http://tetrahedraverse.com >NOTE! Charter is not blocking viruses, >Therefore NO ATTACHMENTS, please; >They will not be downloaded from the Charter mail server. >__Prearrange__ any attachments, with me first. > > > > HTH, JMJ -- http://mail.python.org/mailman/listinfo/python-list