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List: pypy-dev
Subject: Re: [pypy-dev] Saving and reloading JIT optimizations
From: Armin Rigo <arigo () tunes ! org>
Date: 2011-08-19 13:32:07
Message-ID: CAMSv6X0Z25DwHssQOxRZUQMk5yAb815rrA5ujOfP+Wi2c_cgpA () mail ! gmail ! com
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Hi David,
On Fri, Aug 19, 2011 at 1:56 PM, David Fraser <davidf@sjsoft.com> wrote:
> The pypy JIT takes a while to work out which parts of python code need optimization \
> etc, and only after that phase do the speedups become relevant. Have there been any \
> efforts (indeed, is it a feasible idea at all) that look at saving these \
> optimizations for future runs of the same codebase?
No, this is not really doable. The JIT writes explicitly in the
assembler the address of a ton of constants. We have no clue what
these constants become when we are in a different process. Think even
just about Python classes: there is no way at all to know that a class
at address 0x1234567 is "the same" as a previous class in a previous
process at address 0x7654321, let alone defining what exactly "the
same" means.
Instead, we can work on lowering the warm-up time of the JIT, notably
by lowering the (so far very large) overhead it takes for the JIT to
trace a loop.
A bientôt,
Armin.
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