diojit

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adding "how to contribute" docs

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https://github.com/markshannon/faster-cpython

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a concise introduction for dynjit

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1. `@aware` decorator ```python import jit @jit.aware def f(x): return ... ``` 2. specifying optimizable global variables via `__fix__`. so far due to the restriction of python runtime, an embedded...

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separate compilation process

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After generating cython code, the compilation(cythonize + cc compile .c to .pyd) could be proceeded in a separate process. Without this, there will be a notable JIT latency. ```python root_func...

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for loop protocols for jit

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Dynjit inherits the identical semantics from python bytecode, which is using `GET_ITER` and `FOR_ITER` to implement loops: ```python for i in xs: # do some ``` under dynjit, it is...

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specialized object initialization

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dynjit can only specialize user defined functions and builtin functions, so that when constructing class objects, `__init__` is invoked in the fixed pure python way and won't use the specialized...

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Python's object data model is quite different from JavaScript's, but ICs are still applicable within CPython. A python type is a shape, and methods, class methods and static methods can...

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assuming const global references for @jit decorated classes and functions

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```python F = ... @jit def f(x): return F(x) ``` In order to get extreme performance gain, flags can be set to break CPython semantics so that `F` always referenced...

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