Author: Armin Rigo <ar...@tunes.org> Branch: extradoc Changeset: r4747:970b78473ddd Date: 2012-09-06 11:53 +0200 http://bitbucket.org/pypy/extradoc/changeset/970b78473ddd/
Log: A talk I will give Wed 12 Sep 2012. diff --git a/talk/googlezurich2012/abstract.rst b/talk/googlezurich2012/abstract.rst new file mode 100644 --- /dev/null +++ b/talk/googlezurich2012/abstract.rst @@ -0,0 +1,33 @@ + +PyPy +============================================================ + +The PyPy project has recently gathered a lot of attention for its +progress in speeding up the Python language -- it is the fastest, +most compatible and most stable 'alternative� Python interpreter. No +longer merely a research curiosity, PyPy is now suitable for production +use. + +The speed comes from a custom Just-in-Time compiler (JIT). It is the +first Virtual Machine to have a JIT generated automatically from the +interpreter of the language, which makes it complete by construction. +The JIT itself is a tracing JIT, roughly similar to SpiderMonkey. + +* most Python benchmarks run much faster than with CPython or Psyco +* the real-world PyPy compiler toolchain itself (200 KLocs) runs twice as fast +* supports x86 (32 or 64 bit), ARM (v7), and soon POWER64 +* full compatibility with CPython (more than Jython/IronPython) +* ctypes, CFFI and C++ support to call C/C++ libraries from Python (fast) +* supports Stackless Python (in-progress) +* integrates existing CPython C extensions (slowly) + +In this talk we will see examples of what PyPy is best at (pure Python +code that runs for a while), what compatibility issues you may run into +(very few), how to use CPython C extension modules (you can more or +less, but it's slow right now), as well as dig a bit below the surface +and use some tools to view the x86 machine code that was produced by the +JIT. + +I will end the talk with an overview of Software Transactional Memory +(STM) and how it promizes to give a PyPy without the Global Interpreter +Lock (GIL), i.e. able to run a single process using multiple cores. _______________________________________________ pypy-commit mailing list pypy-commit@python.org http://mail.python.org/mailman/listinfo/pypy-commit
