It very much sounds like marketing hype to repeat this "direct to assembly" thing so much. Essentially it's claiming they are better at writing optimizers that are the more numerous authors of GCC, LLVM, etc. That's not inconceivable, but it's a hold claim requiring strong evidence.
Thanks, Antoine, for pointing me in right direction about PyPy. I knew they experimented with LLVM, but thought that avenue was more of a success. Indeed PyPy directly generates it's machine code, so maybe that approach is a good one. But PyPy also had a decade or more of effort behind it to get as good as it is (and it's open source) On Mon, Sep 9, 2019, 4:08 AM Greg Ewing <greg.ew...@canterbury.ac.nz> wrote: > Mark @pysoniq wrote: > > Translating a single language directly to assembly gives the best > > optimizations because most of the commonly used compilers, like GCC, > LLVM and > > Clang, use an intermediate language intended for many languages, and > compiles > > to a number of target architectures. > > To take advantage of that, you need to find some optimisations > that are made possible by the fact that you're compiling Python > in particular to x86 in particular. That's something else that > would be interesting to hear about. > > -- > Greg > _______________________________________________ > Python-ideas mailing list -- python-ideas@python.org > To unsubscribe send an email to python-ideas-le...@python.org > https://mail.python.org/mailman3/lists/python-ideas.python.org/ > Message archived at > https://mail.python.org/archives/list/python-ideas@python.org/message/FKYLBYOKO2O6KBKCL74THLNXG6IJMVR2/ > Code of Conduct: http://python.org/psf/codeofconduct/ >
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