Sessions at EuroPython 2011 about Python and JIT on Friday 24th June

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  • Making CPython Fast Using Trace-based Optimisations

    by Mark Shannon

    CPython can be made faster by implementing the sort of
    optimizations used in the PyPy VM, and in my HotPy VM.
    All the necessary changes can be made without modifying the language or the API.

    The CPython VM can be modified to support optimizations by adding
    an effective garbage collector and by separating the
    virtual-machine state from the real-machine state (like Stackless).

    Optimizations can be implemented incrementally.
    Since almost all of the optimizations are implemented in the interpreter,
    all hardware platforms can benefit.
    JIT compiler(s) can then be added for common platforms (intel, ARM, etc.).

    For more information see http://hotpy.blogspot.com/

    At 2:30pm to 3:30pm, Friday 24th June

    Coverage video