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# The LLVM Compiler Infrastructure
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This directory and its sub-directories contain the source code for LLVM,
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a toolkit for the construction of highly optimized compilers,
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optimizers, and run-time environments.
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The README briefly describes how to get started with building LLVM.
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For more information on how to contribute to the LLVM project, please
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take a look at the
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[Contributing to LLVM](https://llvm.org/docs/Contributing.html) guide.
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## Getting Started with the LLVM System
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Taken from [here](https://llvm.org/docs/GettingStarted.html).
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### Overview
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Welcome to the LLVM project!
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The LLVM project has multiple components. The core of the project is
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itself called "LLVM". This contains all of the tools, libraries, and header
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files needed to process intermediate representations and convert them into
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object files. Tools include an assembler, disassembler, bitcode analyzer, and
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bitcode optimizer. It also contains basic regression tests.
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C-like languages use the [Clang](http://clang.llvm.org/) frontend. This
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component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode
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-- and from there into object files, using LLVM.
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Other components include:
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the [libc++ C++ standard library](https://libcxx.llvm.org),
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the [LLD linker](https://lld.llvm.org), and more.
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### Getting the Source Code and Building LLVM
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The LLVM Getting Started documentation may be out of date. The [Clang
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Getting Started](http://clang.llvm.org/get_started.html) page might have more
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accurate information.
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This is an example work-flow and configuration to get and build the LLVM source:
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1. Checkout LLVM (including related sub-projects like Clang):
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* ``git clone https://github.com/llvm/llvm-project.git``
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* Or, on windows, ``git clone --config core.autocrlf=false
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https://github.com/llvm/llvm-project.git``
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2. Configure and build LLVM and Clang:
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* ``cd llvm-project``
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* ``cmake -S llvm -B build -G <generator> [options]``
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Some common build system generators are:
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* ``Ninja`` --- for generating [Ninja](https://ninja-build.org)
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build files. Most llvm developers use Ninja.
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* ``Unix Makefiles`` --- for generating make-compatible parallel makefiles.
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* ``Visual Studio`` --- for generating Visual Studio projects and
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solutions.
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* ``Xcode`` --- for generating Xcode projects.
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Some common options:
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* ``-DLLVM_ENABLE_PROJECTS='...'`` and ``-DLLVM_ENABLE_RUNTIMES='...'`` ---
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semicolon-separated list of the LLVM sub-projects and runtimes you'd like to
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additionally build. ``LLVM_ENABLE_PROJECTS`` can include any of: clang,
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clang-tools-extra, cross-project-tests, flang, libc, libclc, lld, lldb,
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mlir, openmp, polly, or pstl. ``LLVM_ENABLE_RUNTIMES`` can include any of
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libcxx, libcxxabi, libunwind, compiler-rt, libc or openmp. Some runtime
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projects can be specified either in ``LLVM_ENABLE_PROJECTS`` or in
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``LLVM_ENABLE_RUNTIMES``.
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For example, to build LLVM, Clang, libcxx, and libcxxabi, use
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``-DLLVM_ENABLE_PROJECTS="clang" -DLLVM_ENABLE_RUNTIMES="libcxx;libcxxabi"``.
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* ``-DCMAKE_INSTALL_PREFIX=directory`` --- Specify for *directory* the full
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path name of where you want the LLVM tools and libraries to be installed
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(default ``/usr/local``). Be careful if you install runtime libraries: if
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your system uses those provided by LLVM (like libc++ or libc++abi), you
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must not overwrite your system's copy of those libraries, since that
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could render your system unusable. In general, using something like
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``/usr`` is not advised, but ``/usr/local`` is fine.
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* ``-DCMAKE_BUILD_TYPE=type`` --- Valid options for *type* are Debug,
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Release, RelWithDebInfo, and MinSizeRel. Default is Debug.
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* ``-DLLVM_ENABLE_ASSERTIONS=On`` --- Compile with assertion checks enabled
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(default is Yes for Debug builds, No for all other build types).
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* ``cmake --build build [-- [options] <target>]`` or your build system specified above
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directly.
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* The default target (i.e. ``ninja`` or ``make``) will build all of LLVM.
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* The ``check-all`` target (i.e. ``ninja check-all``) will run the
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regression tests to ensure everything is in working order.
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* CMake will generate targets for each tool and library, and most
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LLVM sub-projects generate their own ``check-<project>`` target.
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* Running a serial build will be **slow**. To improve speed, try running a
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parallel build. That's done by default in Ninja; for ``make``, use the option
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``-j NNN``, where ``NNN`` is the number of parallel jobs to run.
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In most cases, you get the best performance if you specify the number of CPU threads you have.
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On some Unix systems, you can specify this with ``-j$(nproc)``.
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* For more information see [CMake](https://llvm.org/docs/CMake.html).
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Consult the
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[Getting Started with LLVM](https://llvm.org/docs/GettingStarted.html#getting-started-with-llvm)
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page for detailed information on configuring and compiling LLVM. You can visit
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[Directory Layout](https://llvm.org/docs/GettingStarted.html#directory-layout)
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to learn about the layout of the source code tree.
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## Getting in touch
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Join [LLVM Discourse forums](https://discourse.llvm.org/), [discord chat](https://discord.gg/xS7Z362) or #llvm IRC channel on [OFTC](https://oftc.net/).
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The LLVM project has adopted a [code of conduct](https://llvm.org/docs/CodeOfConduct.html) for
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participants to all modes of communication within the project.
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136
README.md
136
README.md
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@ -1,122 +1,32 @@
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# The LLVM Compiler Infrastructure
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# This is the Ventus GPGPU port of LLVM Compiler Infrastructure
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This directory and its sub-directories contain the source code for LLVM,
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Ventus GPGPU is based on RISCV RV32IMAZfinxZve32f ISA with fully redefinition the concept of V-extension.
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a toolkit for the construction of highly optimized compilers,
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optimizers, and run-time environments.
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The README briefly describes how to get started with building LLVM.
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For more architecture detail, please refer to
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For more information on how to contribute to the LLVM project, please
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[Ventus GPGPU Arch](https://github.com/THU-DSP-LAB/ventus-gpgpu/blob/master/docs/Ventus-GPGPU-doc.md)
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take a look at the
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[Contributing to LLVM](https://llvm.org/docs/Contributing.html) guide.
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## Getting Started with the LLVM System
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## Getting Started
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Taken from [here](https://llvm.org/docs/GettingStarted.html).
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### Build the toolchain
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### Overview
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```
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git clone https://github.com/THU-DSP-LAB/llvm-project.git
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cd llvm-project
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mkdir build && cd build
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cmake -DCMAKE_BUILD_TYPE=Debug -DLLVM_ENABLE_PROJECTS="clang;lld;libclc" -DLLVM_TARGETS_TO_BUILD="RISCV" -DCMAKE_INSTALL_PREFIX=../install -G Ninja ../llvm
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```
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Welcome to the LLVM project!
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### Compile a OpenCL C program into Ventus GPGPU assembly
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The LLVM project has multiple components. The core of the project is
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vector_add.cl:
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itself called "LLVM". This contains all of the tools, libraries, and header
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files needed to process intermediate representations and convert them into
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object files. Tools include an assembler, disassembler, bitcode analyzer, and
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bitcode optimizer. It also contains basic regression tests.
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C-like languages use the [Clang](http://clang.llvm.org/) frontend. This
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```
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component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode
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__kernel void vectorAdd(__global float* A, __global float* B) {
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-- and from there into object files, using LLVM.
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unsigned tid = get_global_id(0);
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A[tid] += B[tid];
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}
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```
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Other components include:
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```
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the [libc++ C++ standard library](https://libcxx.llvm.org),
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clang -cl-std=CL2.0 -target riscv32 -mcpu=ventus-gpgpu -O1 -S vector_add.cl -o vector_add.s
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the [LLD linker](https://lld.llvm.org), and more.
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```
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### Getting the Source Code and Building LLVM
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The LLVM Getting Started documentation may be out of date. The [Clang
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Getting Started](http://clang.llvm.org/get_started.html) page might have more
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accurate information.
|
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This is an example work-flow and configuration to get and build the LLVM source:
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1. Checkout LLVM (including related sub-projects like Clang):
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* ``git clone https://github.com/llvm/llvm-project.git``
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* Or, on windows, ``git clone --config core.autocrlf=false
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https://github.com/llvm/llvm-project.git``
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2. Configure and build LLVM and Clang:
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* ``cd llvm-project``
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* ``cmake -S llvm -B build -G <generator> [options]``
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Some common build system generators are:
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* ``Ninja`` --- for generating [Ninja](https://ninja-build.org)
|
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build files. Most llvm developers use Ninja.
|
|
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* ``Unix Makefiles`` --- for generating make-compatible parallel makefiles.
|
|
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* ``Visual Studio`` --- for generating Visual Studio projects and
|
|
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solutions.
|
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* ``Xcode`` --- for generating Xcode projects.
|
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Some common options:
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* ``-DLLVM_ENABLE_PROJECTS='...'`` and ``-DLLVM_ENABLE_RUNTIMES='...'`` ---
|
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semicolon-separated list of the LLVM sub-projects and runtimes you'd like to
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additionally build. ``LLVM_ENABLE_PROJECTS`` can include any of: clang,
|
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clang-tools-extra, cross-project-tests, flang, libc, libclc, lld, lldb,
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mlir, openmp, polly, or pstl. ``LLVM_ENABLE_RUNTIMES`` can include any of
|
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libcxx, libcxxabi, libunwind, compiler-rt, libc or openmp. Some runtime
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projects can be specified either in ``LLVM_ENABLE_PROJECTS`` or in
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``LLVM_ENABLE_RUNTIMES``.
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For example, to build LLVM, Clang, libcxx, and libcxxabi, use
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``-DLLVM_ENABLE_PROJECTS="clang" -DLLVM_ENABLE_RUNTIMES="libcxx;libcxxabi"``.
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* ``-DCMAKE_INSTALL_PREFIX=directory`` --- Specify for *directory* the full
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path name of where you want the LLVM tools and libraries to be installed
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(default ``/usr/local``). Be careful if you install runtime libraries: if
|
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your system uses those provided by LLVM (like libc++ or libc++abi), you
|
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must not overwrite your system's copy of those libraries, since that
|
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could render your system unusable. In general, using something like
|
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``/usr`` is not advised, but ``/usr/local`` is fine.
|
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* ``-DCMAKE_BUILD_TYPE=type`` --- Valid options for *type* are Debug,
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Release, RelWithDebInfo, and MinSizeRel. Default is Debug.
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* ``-DLLVM_ENABLE_ASSERTIONS=On`` --- Compile with assertion checks enabled
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(default is Yes for Debug builds, No for all other build types).
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* ``cmake --build build [-- [options] <target>]`` or your build system specified above
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directly.
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* The default target (i.e. ``ninja`` or ``make``) will build all of LLVM.
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* The ``check-all`` target (i.e. ``ninja check-all``) will run the
|
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regression tests to ensure everything is in working order.
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* CMake will generate targets for each tool and library, and most
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LLVM sub-projects generate their own ``check-<project>`` target.
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* Running a serial build will be **slow**. To improve speed, try running a
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parallel build. That's done by default in Ninja; for ``make``, use the option
|
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``-j NNN``, where ``NNN`` is the number of parallel jobs to run.
|
|
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In most cases, you get the best performance if you specify the number of CPU threads you have.
|
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On some Unix systems, you can specify this with ``-j$(nproc)``.
|
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* For more information see [CMake](https://llvm.org/docs/CMake.html).
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Consult the
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[Getting Started with LLVM](https://llvm.org/docs/GettingStarted.html#getting-started-with-llvm)
|
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page for detailed information on configuring and compiling LLVM. You can visit
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[Directory Layout](https://llvm.org/docs/GettingStarted.html#directory-layout)
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to learn about the layout of the source code tree.
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## Getting in touch
|
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Join [LLVM Discourse forums](https://discourse.llvm.org/), [discord chat](https://discord.gg/xS7Z362) or #llvm IRC channel on [OFTC](https://oftc.net/).
|
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|
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The LLVM project has adopted a [code of conduct](https://llvm.org/docs/CodeOfConduct.html) for
|
|
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participants to all modes of communication within the project.
|
|
||||||
|
|
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