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.. _jit:
JIT documentation
=================
:abstract:
When a interpreter written in RPython is translated into an executable, the
executable contains a full virtual machine that can optionally
include a Just-In-Time compiler. This JIT compiler is **generated
automatically from the interpreter** that we wrote in RPython.
This JIT Compiler Generator can be applied on interpreters for any
language, as long as the interpreter itself is written in RPython
and contains a few hints to guide the JIT Compiler Generator.
Content
-------
.. toctree::
:hidden:
overview
pyjitpl5
optimizer
ruleopt
virtualizable
vectorization
backend
- :doc:`Overview <overview>`: motivating our approach
- :doc:`Notes <pyjitpl5>` about the current work in PyPy
- :doc:`Optimizer <optimizer>`: the step between tracing and writing
machine code, including the :doc:`Ruleopt <ruleopt>`, which is a DSL for
specifying peephole optimization rules for integers.
- :doc:`Virtualizable <virtualizable>`: how virtualizables work and what
they are (in other words how to make frames more efficient).
- :doc:`Assembler backend <backend>`: draft notes about the organization
of the assembler backends
|
