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Comment by IgorPartola | Hacker News Reader

It's unfortunate that they never hit their original 5x performance boost. Hopefully acceptance into CPython will help.

So is the goal to gain resources by becoming part of CPython? It seems like the small performance increases they got are completely overshadowed by the additional memory requirements. I don't pretend to understand the mainline Python development cycle, but this surely doesn't seem mature enough to justify declaring it as "the way forward".

Ya I noticed that too. I'd love to have some performance benefits from JIT too but not at those costs. 2.43x - 2.76x increase in memory to Django[1]. Ugh. That's a large enough change that I'd have to upgrade hardware. Come on now.

[1] http://www.python.org/dev/peps/pep-3146/#memory-usage

From TFA "We view reducing memory usage as a blocking issue for final merger into the py3k branch. "

So, you'd accept unladen as the official JIT based on the vague promise of improving its glaring issues sometime in the future? Does that give it the right to be in a "blessed" repo?

I propose my own python implementation for acceptance into the source tree. Right now, it's a single empty file (but I've got lots of ideas!). I'll even consider it a blocking issue if it achieves less than 10x speedup using half as much memory.

Down further they say something about how they'll ask the community what the acceptable memory usage increase will be. In other words, they might reduce it by say 15%, but not anywhere near the JIT-less levels, and call it a day. I suppose you always have the option to compile python as --without-jit...

Extra memory means a longer start-up time (for small apps) ala JVM, and makes hosting much more expensive. Lots of web hosts are memory / IO bound, not CPU bound. And you are sacrificing memcache size for python speed if you increase python's footprint - not always a winner.

Well, they've still got at least a year or so to work on it, since it's unlikely Django will be running on Python 3 before then...

See http://www.python.org/dev/peps/pep-3146/#performance-retrosp... for a discussion of why.

The performance increase is still notable though - I would like to see that static LLVM link changed; I like python for its size, speed, and expressiveness.

> It's unfortunate that they never hit their original 5x performance boost.

Give 'em a chance. They're only just out of the gate. :)

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