you really want to look at other Python JIT methods, including ones based
on LLVM:
numba: https://numba.pydata.org/
and the old unladen swallow project:
http://qinsb.blogspot.com/2011/03/unladen-swallow-retrospective.html
and of course, not LLVM based, but PyPy is worth a look.
In short: a lot
For me it easier to do with C++, I know C, but with C++ it is more maintainable
and easier to add new feature and also easier to refactor ...
I am not sure if CPython maintainers team will appropriate that I add C++ in
code base ...
But I can try, I will try to find time to create small proof o
January 4, 2021 12:55 PM, redrad...@gmail.com wrote:
> I have found very nice attempt of JIT for CPython
> https://github.com/tonybaloney/Pyjion
>
> It is working under .NET Runtime, but if it is possible in this project I
> believe it is possible in
> CPython as well
>
I suggest that you fork
I have found very nice attempt of JIT for CPython
https://github.com/tonybaloney/Pyjion
It is working under .NET Runtime, but if it is possible in this project I
believe it is possible in CPython as well
Also to integrate JIT compilcation now it not so hard because we can use llvm
ability for
On Mon, Jun 29, 2020 at 2:50 AM wrote:
> Ned Batchelder wrote:
> > On 5/25/20 6:02 AM, redrad...@gmail.com wrote:
> > > Hi all,
> > > I do not know maybe it was already discussed ...
> > > It's been extensively discussed and attempted.
> > > but the toolchain like LLVM is very mature and it can
>
Ned Batchelder wrote:
> On 5/25/20 6:02 AM, redrad...@gmail.com wrote:
> > Hi all,
> > I do not know maybe it was already discussed ...
> > It's been extensively discussed and attempted.
> > but the toolchain like LLVM is very mature and it can
> > provide the simpler JIT compilation to machine cod
Hello,
On Wed, 27 May 2020 20:45:15 +0200
Antoine Pitrou wrote:
[]
> > A recent attempt to collect known Python JITs/compilers:
> > https://github.com/pfalcon/awesome-python-compilers (well,
> > definitely more recent than
> > https://wiki.python.org/moin/PythonImplementations#Compilers). And
>
On Wed, 27 May 2020 21:24:08 +0300
Paul Sokolovsky wrote:
> Hello,
>
> On Wed, 27 May 2020 08:18:11 -
> redrad...@gmail.com wrote:
>
> > Thanks Guido !!
> >
> > I have not known about `pyston` ... It is pretty good like for me
> > I will take a close look at this project
>
> A recent at
Hello,
On Wed, 27 May 2020 08:18:11 -
redrad...@gmail.com wrote:
> Thanks Guido !!
>
> I have not known about `pyston` ... It is pretty good like for me
> I will take a close look at this project
A recent attempt to collect known Python JITs/compilers:
https://github.com/pfalcon/awesome-pyt
Thanks Guido !!
I have not known about `pyston` ... It is pretty good like for me
I will take a close look at this project
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There was also Pyston.
https://blog.pyston.org/
On Tue, May 26, 2020 at 11:42 Brett Cannon wrote:
> It was Unladen Swallow that used LLVM, but it was early on in LLVM's JIT
> life and they unfortunately had to spend a bunch of time fixing LLVM which
> ate up the time they had to do the experimen
It was Unladen Swallow that used LLVM, but it was early on in LLVM's JIT
life and they unfortunately had to spend a bunch of time fixing LLVM which
ate up the time they had to do the experiment.
On Mon, May 25, 2020 at 2:36 PM Christopher Barker
wrote:
> On Mon, May 25, 2020 at 3:05 AM wrote:
>
On 5/25/20 6:02 AM, redrad...@gmail.com wrote:
Hi all,
I do not know maybe it was already discussed ...
It's been extensively discussed and attempted.
but the toolchain like LLVM is very mature and it can provide the simpler JIT
compilation to machine code functionality and it will improve
On Mon, May 25, 2020, 5:33 PM Christopher Barker
> see numba: http://numba.pydata.org/
>
> Also, I"m pretty sure one of the efforts to make a faster python was based
> on LLVM, but it didn't work out as well as hoped -- unladen swallow maybe?
>
Numba is great. Very easy and very fast. Pypy exper
On Mon, May 25, 2020 at 3:05 AM wrote:
> I do not know maybe it was already discussed ... but the toolchain like
> LLVM is very mature and it can provide the simpler JIT compilation to
> machine code functionality and it will improve performance of the Python a
> lot !!
>
see numba: http://numb
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