PyPy Status Blog
PyPy 4.0.0 We’re pleased and proud to unleash PyPy 4.0.0, a major update of the PyPy python 2.7.10 compatible interpreter with a Just In Time compiler. We have improved warmup time and memory overhead used for tracing, added vectorization for numpy and general loops where possible on x86 hardware (disabled by default), refactored rough edges in rpython, and increased functionality of numpy. You ca
The GIL is dead: PyPy-STM
Take a big, non-multithreaded program, and run in on multiple cores! PyPy, the Python implementation written in Python, experimentally supports Software Transactional Memory (STM). It runs without the Global Interpreter Lock (GIL). The strength of STM is not only to remove the GIL, but to also enable a novel use of multithreading, inheritently safe, and more useful in the general case than other a
PyPy IO improvements
The second branch was done by Gregor Wegberg for his master thesis and finished by Maciej Fijałkowski and Armin Rigo. Because of the way it works, the PyPy GC from time to time moves the objects in memory, meaning that their address can change. Therefore, if you want to pass pointers to some external C function (for example, write(2) or read(2)), you need to ensure that the objects they are pointi
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PyPy meets Python 3 and Numpy
[Video 262] Armin Rigo: The GIL is dead — PyPy-STM - Daily Tech Video
[pypy-dev] From PyPy to Psyco
CFFI: calling C from Python
Armin Rigo - CFFI: calling C from Python
Armin Rigo - The GIL is dead: PyPy-STM
arigo - Overview
GitHub - arigo/ffi: Foreign Function Interface for Python
[pypy-dev] Another idea for improving warm-up times
pypy / pypy / commit / 9e2f7a37c1e2 — Bitbucket
[Python-Dev] s/hotshot/lsprof
Why PyPy by example
How to get the most out of your PyPy
PyPy status talk (a.k.a.: no no, PyPy is not dead)
Using All These Cores: Transactional Memory in PyPy
EuroPython 2014 - Session: Using All These Cores: Transactional Memory in PyPy
EuroPython 2014 - Session: PyPy status talk (a.k.a.: no no, PyPy is not dead)
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