[pypy-dev] Any publications regarding PyPy / trace-based JIT compiler?

[Michael Sioutis]

Thank you Vim,

I will use it. I have also found "Trace-based compilation in execution
environments without interpreters" that seems kind of relevant.
http://www.ics.uci.edu/~mbebenit/pubs/pppj-2010.pdf

Regards,
Mike

On Wed, Jul 4, 2012 at 9:29 AM, <wlavrijsen at lbl.gov> wrote:

> Hi Michael,
>
>
>  I am in the process of writing a paper that will target some AI
>> conference,
>> and I would like to ask if there are any relevant publications of yours or
>> in general that showcase the possible advantages of trace-based JIT
>> compilation over method-based JIT compilation or static compilation.
>>
>
> this publication has a nice listing of benefits over static compilation:
>
>    http://www.hpl.hp.com/**techreports/1999/HPL-1999-78.**html<http://www.hpl.hp.com/techreports/1999/HPL-1999-78.html>
>
> Some of it is outdated, as I find in particular that compiled traces are
> very nice on contemporary speculative, out-of-order executing, branch
> predicting, hyper-threading CPUs in ways that made no difference on deep
> pipeline CPUs of old. It's a great read nonetheless.
>
> Method-based JIT compilation does not play as well with modern CPUs, as
> the greatest benefits are had from the inlining of functions and removal
> of branches.
>
> Even for C++, vtable indirection and the trampolines for calls across
> shared libraries are tough on modern CPUs. Inlining and finalizing calls
> helps, but with static profiling you only have one choice of organizing
> the code, on one "representative" data set.
>
> Best regards,
>            Wim
> --
> WLavrijsen at lbl.gov    --    +1 (510) 486 6411    --    www.lavrijsen.net
>
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