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| Date | Sun, 23 Aug 2015 08:07:26 -0400 |
| Subject | Re: how to handle cpu cache in python ( or fastest way to call a function once) |
| From | Vladimir Ignatov <kmisoft@gmail.com> |
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Hi, >> for i in range(1000000): #just to create a time interval, seems this disturb cpu cache? >> pass Python interpreter consumes memory quite extensively because "everything is object". So constructions like: range(1000000): _take_ memory. Additionally it will trigger garbage collecting code on deallocation time so expect even more delay. To get most out of Python - all "numbers crushing" / "pixel pushing" / "store gigabytes" code should go to low-level compiled binary libraries. Vladimir https://itunes.apple.com/us/app/python-code-samples/id1025613117
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how to handle cpu cache in python ( or fastest way to call a function once) Yuzhi Xu <yuzhixu.ruc@gmail.com> - 2015-08-22 23:10 -0700
Re: how to handle cpu cache in python ( or fastest way to call a function once) Stefan Behnel <stefan_ml@behnel.de> - 2015-08-23 11:54 +0200
Re: how to handle cpu cache in python ( or fastest way to call a function once) Steven D'Aprano <steve@pearwood.info> - 2015-08-23 21:59 +1000
Re: how to handle cpu cache in python ( or fastest way to call a function once) Vladimir Ignatov <kmisoft@gmail.com> - 2015-08-23 08:07 -0400
Re: how to handle cpu cache in python ( or fastest way to call a function once) Steven D'Aprano <steve@pearwood.info> - 2015-08-23 22:42 +1000
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