[pypy-commit] extradoc extradoc: A talk I will give Wed 12 Sep 2012.

arigo noreply at buildbot.pypy.org
Thu Sep 6 11:53:21 CEST 2012


Author: Armin Rigo <arigo at 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
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+++ b/talk/googlezurich2012/abstract.rst
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+
+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.


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