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Size: 1164
Comment: lil cleanup
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Size: 1465
Comment: more modules that could benefit from being written in java
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| Deletions are marked like this. | Additions are marked like this. |
| Line 15: | Line 15: |
| GC Expense ---------- |
Allocation/GC Expense --------------------- |
| Line 19: | Line 19: |
| * dict allocation | * dicts/stringmap |
| Line 24: | Line 24: |
| * Frame creation | * Frames |
| Line 28: | Line 28: |
| 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 |
Performance Enhancements Resources
Jython benchmarks (from PyPy's suite): http://freya.cs.uiuc.edu/~njriley/benchmark.html
Benchmark plots (currently broken): 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