Message 199337 - Python tracker

➜

This issue tracker has been migrated to GitHub, and is currently read-only.
For more information, see the GitHub FAQs in the Python's Developer Guide.

Author	belopolsky
Recipients	belopolsky, loewis, pitrou, r.david.murray, rhettinger, serhiy.storchaka, vstinner
Date	2013-10-09.19:35:37
SpamBayes Score	-1.0
Marked as misclassified	Yes
Message-id	<1381347337.7.0.498404205197.issue19187@psf.upfronthosting.co.za>
In-reply-to

Content
> In embedded systems, every byte of memory counts It is not just embedded systems. The range 192 KB to 1.5 MB is where typical L2 cache sizes are these days. I would expect that the intern dictionary is accessed very often and much more often than the actual strings. In theory, if it fits in L2 cache, the performance will be much higher than if it is even slightly over. This said, when I was looking at this 3-4 years ago, I did not see measurable improvements in my programs.

> In embedded systems, every byte of memory counts 

It is not just embedded systems.  The range 192 KB to 1.5 MB is where typical L2 cache sizes are these days.  I would expect that the intern dictionary is accessed very often and much more often than the actual strings.  In theory, if it fits in L2 cache, the performance will be much higher than if it is even slightly over.

This said, when I was looking at this 3-4 years ago, I did not see measurable improvements in my programs.

History
Date	User	Action	Args
2013-10-09 19:35:37	belopolsky	set	recipients: + belopolsky, loewis, rhettinger, pitrou, vstinner, r.david.murray, serhiy.storchaka
2013-10-09 19:35:37	belopolsky	set	messageid: <1381347337.7.0.498404205197.issue19187@psf.upfronthosting.co.za>
2013-10-09 19:35:37	belopolsky	link	issue19187 messages
2013-10-09 19:35:37	belopolsky	create