> > > However, it requires that the JIT compiler knows about a lot of > optimisations. PyPy's JIT is full of those. It's not the fact that it has a > JIT compiler at all that makes it fast and not the fact that they compile > Python to machine code, it's the fact that they came up with a huge bunch > of specialisations that makes lots of code patterns fast once it detected > them. LLVM (or any other low-level JIT compiler) won't help at all with > that. > > Stefan >
Very good point Stefan I would just like to add that a lot of those also require changes in the object model which might render changes in CPython C API (like the introduction of maps). Certainly you can't keep the current C structures, which will already break some code. Cheers, fijal
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