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Groups > comp.lang.python > #46091
| From | Carlos Nepomuceno <carlosnepomuceno@outlook.com> |
|---|---|
| Subject | RE: Solving the problem of mutual recursion |
| Date | 2013-05-26 21:09 +0300 |
| References | <d54dff54-73cc-4b90-8a85-bafd5118489f@cl9g2000vbb.googlegroups.com> |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.2185.1369591777.3114.python-list@python.org> (permalink) |
---------------------------------------- > Date: Sun, 26 May 2013 10:21:05 -0700 > Subject: Re: Solving the problem of mutual recursion > From: peter.h.m.brooks@gmail.com > To: python-list@python.org > > On May 26, 5:09 pm, Jussi Piitulainen <jpiit...@ling.helsinki.fi> > wrote: >> >> A light-weighter way is to have each task end by assigning the next >> task and returning, instead of calling the next task directly. When a >> task returns, a driver loop will call the assigned task, which again >> does a bounded amount of work, assigns the next task, and returns. >> Tasks can even pass parameters in the same way. >> > Yes, that's true - there are a number of ways of making it linear. > > What I'm particularly pleased about with my method is the parallelism > that it achieves - with so little effort! The simulation is going to > be computationally intense and this is going to make sure that the > CPUs are all giving it their best shot. When I run this on my macbook, > the python interpreter takes over 140% of CPU - with a bit of fine- > tuning, it should be possible to have more concurrent threads and to > use the four cores optimally. > > Naturally I'll need to be careful with the concurrency, but this is so > simple and clean that it should be easy to avoid the main problems > with accessing the same variables. > -- > http://mail.python.org/mailman/listinfo/python-list Python threads run in the same process and won't run concurrently: "CPython implementation detail: In CPython, due to the Global Interpreter Lock, only one thread can execute Python code at once (even though certain performance-oriented libraries might overcome this limitation). If you want your application to make better use of the computational resources of multi-core machines, you are advised to use multiprocessing. However, threading is still an appropriate model if you want to run multiple I/O-bound tasks simultaneously."[1] How can you get 140% of CPU? IS that a typo?? [1] http://docs.python.org/2/library/threading.html
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Solving the problem of mutual recursion Peter Brooks <peter.h.m.brooks@gmail.com> - 2013-05-26 04:49 -0700
Re: Solving the problem of mutual recursion Jussi Piitulainen <jpiitula@ling.helsinki.fi> - 2013-05-26 18:09 +0300
Re: Solving the problem of mutual recursion Roy Smith <roy@panix.com> - 2013-05-26 11:23 -0400
Re: Solving the problem of mutual recursion Peter Brooks <peter.h.m.brooks@gmail.com> - 2013-05-26 10:21 -0700
RE: Solving the problem of mutual recursion Carlos Nepomuceno <carlosnepomuceno@outlook.com> - 2013-05-26 21:09 +0300
Re: Solving the problem of mutual recursion Peter Brooks <peter.h.m.brooks@gmail.com> - 2013-05-26 11:13 -0700
RE: Solving the problem of mutual recursion Carlos Nepomuceno <carlosnepomuceno@outlook.com> - 2013-05-26 21:22 +0300
Re: Solving the problem of mutual recursion Peter Brooks <peter.h.m.brooks@gmail.com> - 2013-05-26 12:05 -0700
Re: Solving the problem of mutual recursion Ian Kelly <ian.g.kelly@gmail.com> - 2013-05-26 13:35 -0600
Re: Solving the problem of mutual recursion Chris Angelico <rosuav@gmail.com> - 2013-05-27 08:16 +1000
Re: Solving the problem of mutual recursion Peter Brooks <peter.h.m.brooks@gmail.com> - 2013-05-26 21:36 -0700
Re: Solving the problem of mutual recursion Ian Kelly <ian.g.kelly@gmail.com> - 2013-05-27 00:07 -0600
Re: Solving the problem of mutual recursion Chris Angelico <rosuav@gmail.com> - 2013-05-27 17:37 +1000
Re: Solving the problem of mutual recursion Ian Kelly <ian.g.kelly@gmail.com> - 2013-05-27 00:19 -0600
Re: Solving the problem of mutual recursion Ian Kelly <ian.g.kelly@gmail.com> - 2013-05-27 01:04 -0600
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