>>>>> Dennis Lee Bieber <wlfr...@ix.netcom.com> (DLB) wrote:
>DLB> On Sun, 23 Aug 2009 22:14:17 -0700, John Nagle <na...@animats.com> >DLB> declaimed the following in gmane.comp.python.general: >>> Multiple Python processes can run concurrently, but each process >>> has a copy of the entire Python system, so the memory and cache footprints >>> are >>> far larger than for multiple threads. >>> >DLB> One would think a smart enough OS would be able to share the >DLB> executable (interpreter) code, and only create a new stack/heap >DLB> allocation for data. Of course they do, but a significant portion of a Python system consists of imported modules and these are data as far as the OS is concerned. Only the modules written in C which are loaded as DLL's (shared libs) and of course the interpreter executable will be shared. -- Piet van Oostrum <p...@cs.uu.nl> URL: http://pietvanoostrum.com [PGP 8DAE142BE17999C4] Private email: p...@vanoostrum.org -- http://mail.python.org/mailman/listinfo/python-list
