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OSH Optimization Log
andychu edited this page Nov 28, 2017
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This section is a record of how OSH was optimized.
- 0.2.alpha1 -- fake release to measure parsing speed
- 0.2
- here doc optimization
- 0.3
- Optimization
- generate C code with
core/lexer_gen.py
and re2c (double code generation) - generate Python code with
asdl/gen_python.py
(rather than Python metaprogramming) - TODO:
- Id equality optimization
- generate C code with
- Benchmarks
- added virtual memory benchmarks. NOTE: This caught a regression due to making new Id instances!!!
- Optimization
(release notes: my somewhat risky style of metaprogramming feels like it's working. I'm trading off this risk for the risk of having "a huge pile of C code that nobody can modify")
- For some reason, CPython on Ubuntu is faster than my OVM build. I'm compiling with
-O3
. Is this because of profile-guided optimization? - Probably will regress: when switching to OPy bytecode. The compiler doesn't generate exactly the same bytecode.
Because these are FAQs:
- PyPy (measured)
- Cython (not measured, but discarded in principle)
- ASDL could be C extension instead of Python. Inline integers instead of having PyObject pointers for them.
- Coalescing tokens more aggressively -- will save space.
- combine span and token structs.
- later: rewrite LineLexer/Lexer so
Read()
isn't so hot? - OHeap size optimization Ideas:
- empty array can be encoded as
Ref(0)
rather than a Ref to something with length 0.
- empty array can be encoded as
- Size benchmarks for parser / LST
- Python heap stats (revive "pry")
- More oheap benchmarks. Including compressed files.
- Compressed address space!!!
- Runtime Benchmarks
- abuild -h -- easy
- find a configure script that executes in like 10 seconds? dash?
- OCaml's hand-written configure. 3.5 seconds with OSH. 2.7 seconds with bash. same with dash.
- OK so OSH is sort of usable.