Differences between revisions 5 and 12 (spanning 7 versions)
Revision 5 as of 2008-12-11 07:46:11
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Editor: astound-69-42-4-166
Comment: blurb on dict allocations
Revision 12 as of 2009-01-26 05:40:07
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Editor: c-98-212-140-18
Comment: The plots are fixed. Sorry about that.
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==================================
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Benchmark plots (currently broken): http://freya.cs.uiuc.edu/~njriley/plots.html Plots of microbenchmarks (also from PyPy): http://freya.cs.uiuc.edu/~njriley/plots.html
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jbaker & thobe's JavaOne '08 talk: `Jython Implementing Dynamic Language Features For The Java Ecosystem <http://developers.sun.com/learning/javaoneonline/2008/pdf/TS-6039.pdf?cid=925321>`_ jbaker & thobe's JavaOne '08 talk: `Jython Implementing Dynamic Language Features For The Java Ecosystem`_
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GC Expense
----------
Allocation/GC Expense
---------------------
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dict allocation
~~~~~~~~~~~~~~~
* dicts/stringmap
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Frame creation
--------------

* Frames
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Advanced Compiler
-----------------

Modules to rewrite in Java
--------------------------
* _heapq
* select
* socket
* unicodedata

iterlen support
---------------
Adds a length hint to various objects, mainly for smarter allocation during map and list. See test_iterlen

.. _`Jython Implementing Dynamic Language Features For The Java Ecosystem`: http://developers.sun.com/learning/javaoneonline/2008/pdf/TS-6039.pdf?cid=925321

Performance Enhancements Resources

Jython benchmarks (from PyPy's suite): http://freya.cs.uiuc.edu/~njriley/benchmark.html

Plots of microbenchmarks (also from PyPy): http://freya.cs.uiuc.edu/~njriley/plots.html

Ideas

jbaker & thobe's JavaOne '08 talk: Jython Implementing Dynamic Language Features For The Java Ecosystem

Allocation/GC Expense

Our algorithms are not always the problem, sometimes it's memory {de}allocations that slow you down

  • dicts/stringmap

PyStringMap/PyDictionary pay a penalty on allocation now that they're backed by ConcurrentHashMap. We could probably tweak the ConcurrentHashMap initialCapacity, concurrentLevel to reduce this cost

  • Frames

Frames are allocated for every Python method call, which is a GC expense. CPython (and JRuby?) recycle frame objects. Reducing the number of fields on the frame can also help (but this likely isn't possible)

Advanced Compiler

Modules to rewrite in Java

  • _heapq
  • select
  • socket
  • unicodedata

iterlen support

Adds a length hint to various objects, mainly for smarter allocation during map and list. See test_iterlen

PerformanceEnhancements (last edited 2009-01-26 05:40:07 by c-98-212-140-18)