I am trying to start multiple instances using a for statement but this is not working. Has anyone tried affinity module?
Tax 2011/5/17 Emile van Sebille <em...@fenx.com> > On 5/17/2011 7:29 AM tax botsis said... > > Part of my code includes the following script, which both shows a >> progress bar (for as long as 'categorize_reports()' is executed) and >> prints the fileid and the output of the 'document' function; the latter >> is the one increasing the calculation time (please see my comment). Any >> ideas on how to use all the cores of my CPU here? >> > > A python instance lives it life on a single processor. Accessing multiple > cores requires you start multiple python instances. You'd need to > restructure to provide some form of cooperative independent processing. > Pyro, stackless, and twisted come to mind. It looks like > the info at http://wiki.python.org/moin/ParallelProcessing is more up to > date than my memory... > > Emile > > > > >> ... >> def categorize_reports(): >> if __name__ == '__main__': >> root2 = Tkinter.Tk(className=' Processing Progress') >> m = Meter(root2, relief='ridge', bd=3) >> m.pack(fill='x') >> i=0.0 >> for fileid in fileids(): >> m.set(i, 'Processing will take a few minutes...') >> i=i+1.000/len(fileids()) >> m.after(1000, lambda: _demo(m, i)) >> print str(fileid), document(fileid) #this slows down the >> process >> root2.withdraw() >> ... >> >> Thanks >> Tax >> >> >> >> _______________________________________________ >> Tutor maillist - Tutor@python.org >> To unsubscribe or change subscription options: >> http://mail.python.org/mailman/listinfo/tutor >> > > > _______________________________________________ > Tutor maillist - Tutor@python.org > To unsubscribe or change subscription options: > http://mail.python.org/mailman/listinfo/tutor >
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