Den 24.05.2011 13:31, skrev Maciej Fijalkowski:
Not sure what scenario exactly are you discussing here, but storing reference counts outside of objects has (at least on a single processor) worse cache locality than inside objects.
Artur Siekielski is not talking about cache locality, but copy-on-write fork on Linux et al.
When reference counts are updated after forking, memory pages marked copy-on-write are copied if they store reference counts. And then he quickly runs out of memory. He wants to put reference counts and PyObjects in different pages, so only the pages with reference counts get copied.
I don't think he cares about cache locality at all, but the rest of us do :-)
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