The LLVM Compiler Infrastructure

This directory and its sub-directories contain the source code for LLVM,
a toolkit for the construction of highly optimized compilers,
optimizers, and run-time environments.

The README briefly describes how to get started with building LLVM.
For more information on how to contribute to the LLVM project, please
take a look at the
Contributing to LLVM guide.

Getting Started with the LLVM System

Taken from here.

Overview

Welcome to the LLVM project!

The LLVM project has multiple components. The core of the project is
itself called "LLVM". This contains all of the tools, libraries, and header
files needed to process intermediate representations and convert them into
object files. Tools include an assembler, disassembler, bitcode analyzer, and
bitcode optimizer. It also contains basic regression tests.

C-like languages use the Clang frontend. This
component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode
-- and from there into object files, using LLVM.

Other components include:
the libc++ C++ standard library,
the LLD linker, and more.

Getting the Source Code and Building LLVM

The LLVM Getting Started documentation may be out of date. The Clang
Getting Started page might have more
accurate information.

This is an example work-flow and configuration to get and build the LLVM source:

1. Checkout LLVM (including related sub-projects like Clang):

   • git clone https://github.com/llvm/llvm-project.git

   • Or, on windows, git clone --config core.autocrlf=false https://github.com/llvm/llvm-project.git

2. Configure and build LLVM and Clang:

   • cd llvm-project

   • cmake -S llvm -B build -G <generator> [options]

     Some common build system generators are:

     • Ninja --- for generating Ninja
       build files. Most llvm developers use Ninja.
     • Unix Makefiles --- for generating make-compatible parallel makefiles.
     • Visual Studio --- for generating Visual Studio projects and
       solutions.
     • Xcode --- for generating Xcode projects.

     Some common options:

     • -DLLVM_ENABLE_PROJECTS='...' and -DLLVM_ENABLE_RUNTIMES='...' ---
       semicolon-separated list of the LLVM sub-projects and runtimes you'd like to
       additionally build. LLVM_ENABLE_PROJECTS can include any of: clang,
       clang-tools-extra, cross-project-tests, flang, libc, libclc, lld, lldb,
       mlir, openmp, polly, or pstl. LLVM_ENABLE_RUNTIMES can include any of
       libcxx, libcxxabi, libunwind, compiler-rt, libc or openmp. Some runtime
       projects can be specified either in LLVM_ENABLE_PROJECTS or in
       LLVM_ENABLE_RUNTIMES.

       For example, to build LLVM, Clang, libcxx, and libcxxabi, use
       -DLLVM_ENABLE_PROJECTS="clang" -DLLVM_ENABLE_RUNTIMES="libcxx;libcxxabi".

     • -DCMAKE_INSTALL_PREFIX=directory --- Specify for directory the full
       path name of where you want the LLVM tools and libraries to be installed
       (default /usr/local). Be careful if you install runtime libraries: if
       your system uses those provided by LLVM (like libc++ or libc++abi), you
       must not overwrite your system's copy of those libraries, since that
       could render your system unusable. In general, using something like
       /usr is not advised, but /usr/local is fine.

     • -DCMAKE_BUILD_TYPE=type --- Valid options for type are Debug,
       Release, RelWithDebInfo, and MinSizeRel. Default is Debug.

     • -DLLVM_ENABLE_ASSERTIONS=On --- Compile with assertion checks enabled
       (default is Yes for Debug builds, No for all other build types).

   • cmake --build build [-- [options] <target>] or your build system specified above
     directly.

     • The default target (i.e. ninja or make) will build all of LLVM.

     • The check-all target (i.e. ninja check-all) will run the
       regression tests to ensure everything is in working order.

     • CMake will generate targets for each tool and library, and most
       LLVM sub-projects generate their own check-<project> target.

     • Running a serial build will be slow. To improve speed, try running a
       parallel build. That's done by default in Ninja; for make, use the option
       -j NNN, where NNN is the number of parallel jobs to run.
       In most cases, you get the best performance if you specify the number of CPU threads you have.
       On some Unix systems, you can specify this with -j$(nproc).

   • For more information see CMake.

Consult the
Getting Started with LLVM
page for detailed information on configuring and compiling LLVM. You can visit
Directory Layout
to learn about the layout of the source code tree.

Getting in touch

Join LLVM Discourse forums, discord chat or #llvm IRC channel on OFTC.

The LLVM project has adopted a code of conduct for
participants to all modes of communication within the project.