[Chicago] Anyone heard of this?

[Brian Herman]

Python is a popular dynamic language with a large part of its appeal coming
from powerful libraries and extension modules. These augment the language
and make it a productive environment for a wide variety of tasks, ranging
from web development (Django) to numerical analysis (NumPy). Unfortunately,
Python's performance is quite poor when compared to modern implementations
of languages such as Lua and JavaScript.
Why does Python lag so far behind these other languages? As we show, the
very same API and extension libraries that make Python a powerful language
also make it very difficult to efficiently execute. Given that we want to
retain access to the great extension libraries that already exist for
Python, how fast can we make it?
To evaluate this, we designed and implemented Falcon, a high-performance
bytecode interpreter fully compatible with the standard CPython
interpreter. Falcon applies a number of well known optimizations and
introduces several new techniques to speed up execution of Python bytecode.
In our evaluation, we found Falcon an average of 25% faster than the
standard Python interpreter on most benchmarks and in some cases about 2.5X
faster.

from: http://arxiv.org/abs/1306.6047

-- 


Thanks,
Brian Herman
college.nfshost.com
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