> > > 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.python.org/pipermail/python-dev/attachments/20120718/61d22294/attachment.html>
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4