[pypy-svn] r68016 - pypy/extradoc/talk/pycon2010

[fijal at codespeak.net]

Author: fijal
Date: Wed Sep 30 11:54:41 2009
New Revision: 68016

Modified:
   pypy/extradoc/talk/pycon2010/jit_abstract.txt
Log:
Add agenda


Modified: pypy/extradoc/talk/pycon2010/jit_abstract.txt
==============================================================================
--- pypy/extradoc/talk/pycon2010/jit_abstract.txt	(original)
+++ pypy/extradoc/talk/pycon2010/jit_abstract.txt	Wed Sep 30 11:54:41 2009
@@ -6,16 +6,34 @@
 The first part of the talk will cover PyPy's speed achievements resulting 
 from the last year's work on the Just-In-Time Compiler.  I'll present 
 and discuss a number of benchmarks and compare against other Python-speed 
-projects.  And I'll cover the basics of how the JIT works and what 
+projects. I'll also cover the basics of how the JIT works and what 
 sort of programs it can greatly speedup (and which ones it can't).
 
 Description:
 
 PyPy's JIT has been in development for some years now.  More recently
-it became more practical and begins to be faster than Psyco on some
+it became more practical and begins to be `faster than Psyco`_ on some
 examples.  This is the status in September 2009 and currently it's fast-paced
-development so we expect to have very interesting results for February 2010,
-worth discussing and comparing.  If possible a 45 minute talk would be cool 
-due to the "explaining the JIT" bit of the talk.  
+development so we expect to have even more interesting results for
+February 2010, worth discussing and comparing.  If possible
+a 45 minute talk would be cool due to the "explaining the JIT"
+bit of the talk. 
 
-XXX link, review
+Proposed talk agenda:
+
+* Show various benchmarking data and compare different
+  python interpreters (CPython, PyPy, Jython, IronPython, unladden swallow)
+
+* A bit of introduction into how PyPy's JIT work (it's tracing JIT,
+  like tracemonkey JS interpreter, unlike Psyco or JVM).
+
+* What sorts of programs JITs in general can speed up. What sorts of
+  programs PyPy's JIT is better at. What similiar python constructs
+  can yield different performance characteristics while JITting.
+
+* Future plans for PyPy, especially JIT-wise.
+
+The main wieght would be put on the point 3 (how can I write my program
+so JIT will make it fast).
+
+.. _`faster than Psyco`: http://morepypy.blogspot.com/2009/09/first-results-of-jit.html