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====================================================================
Building a JIT: Adding Optimizations - An introduction to ORC Layers
====================================================================
.. contents::
:local:
**This tutorial is under active development. It is incomplete and details may
change frequently.** Nonetheless we invite you to try it out as it stands, and
we welcome any feedback.
Chapter 2 Introduction
======================
Welcome to Chapter 2 of the "Building an ORC-based JIT in LLVM" tutorial. This
chapter shows you how to add IR optimization support to the KaleidoscopeJIT
class that was introduced in `Chapter 1 <BuildingAJIT1.html>`_ by adding a
new *ORC Layer* -- IRTransformLayer.
**To be done:**
**(1) Briefly describe FunctionPassManager and the optimizeModule
method (reference the Kaleidoscope language tutorial chapter 4 for more detail
about IR optimization - it's covered in detail there, here it just provides a
motivation for learning about layers).**
**(2) Describe IRTransformLayer, show how it is used to call our optimizeModule
method.**
**(3) Describe the ORC Layer concept using IRTransformLayer as an example.**
Full Code Listing
=================
Here is the complete code listing for our running example with an
IRTransformLayer added to enable optimization. To build this example, use:
.. code-block:: bash
# Compile
clang++ -g toy.cpp `llvm-config --cxxflags --ldflags --system-libs --libs core orc native` -O3 -o toy
# Run
./toy
Here is the code:
.. literalinclude:: ../../examples/Kaleidoscope/BuildingAJIT/Chapter2/KaleidoscopeJIT.h
:language: c++
`Next: Adding Per-function Lazy Compilation <BuildingAJIT3.html>`_
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