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# 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](https://llvm.org/docs/Contributing.html) guide.
## Getting Started with the LLVM System
Taken from [here](https://llvm.org/docs/GettingStarted.html).
### 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](http://clang.llvm.org/) 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](https://libcxx.llvm.org),
the [LLD linker](https://lld.llvm.org), and more.
### Getting the Source Code and Building LLVM
The LLVM Getting Started documentation may be out of date. The [Clang
Getting Started](http://clang.llvm.org/get_started.html) 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](https://ninja-build.org)
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](https://llvm.org/docs/CMake.html).
Consult the
[Getting Started with LLVM](https://llvm.org/docs/GettingStarted.html#getting-started-with-llvm)
page for detailed information on configuring and compiling LLVM. You can visit
[Directory Layout](https://llvm.org/docs/GettingStarted.html#directory-layout)
to learn about the layout of the source code tree.
## Getting in touch
Join [LLVM Discourse forums](https://discourse.llvm.org/), [discord chat](https://discord.gg/xS7Z362) or #llvm IRC channel on [OFTC](https://oftc.net/).
The LLVM project has adopted a [code of conduct](https://llvm.org/docs/CodeOfConduct.html) for
participants to all modes of communication within the project.

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# The LLVM Compiler Infrastructure
# This is the Ventus GPGPU port of 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.
Ventus GPGPU is based on RISCV RV32IMAZfinxZve32f ISA with fully redefinition the concept of V-extension.
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](https://llvm.org/docs/Contributing.html) guide.
For more architecture detail, please refer to
[Ventus GPGPU Arch](https://github.com/THU-DSP-LAB/ventus-gpgpu/blob/master/docs/Ventus-GPGPU-doc.md)
## Getting Started with the LLVM System
## Getting Started
Taken from [here](https://llvm.org/docs/GettingStarted.html).
### Build the toolchain
### Overview
```
git clone https://github.com/THU-DSP-LAB/llvm-project.git
cd llvm-project
mkdir build && cd build
cmake -DCMAKE_BUILD_TYPE=Debug -DLLVM_ENABLE_PROJECTS="clang;lld;libclc" -DLLVM_TARGETS_TO_BUILD="RISCV" -DCMAKE_INSTALL_PREFIX=../install -G Ninja ../llvm
```
Welcome to the LLVM project!
### Compile a OpenCL C program into Ventus GPGPU assembly
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.
vector_add.cl:
C-like languages use the [Clang](http://clang.llvm.org/) frontend. This
component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode
-- and from there into object files, using LLVM.
```
__kernel void vectorAdd(__global float* A, __global float* B) {
unsigned tid = get_global_id(0);
A[tid] += B[tid];
}
```
Other components include:
the [libc++ C++ standard library](https://libcxx.llvm.org),
the [LLD linker](https://lld.llvm.org), and more.
### Getting the Source Code and Building LLVM
The LLVM Getting Started documentation may be out of date. The [Clang
Getting Started](http://clang.llvm.org/get_started.html) 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](https://ninja-build.org)
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](https://llvm.org/docs/CMake.html).
Consult the
[Getting Started with LLVM](https://llvm.org/docs/GettingStarted.html#getting-started-with-llvm)
page for detailed information on configuring and compiling LLVM. You can visit
[Directory Layout](https://llvm.org/docs/GettingStarted.html#directory-layout)
to learn about the layout of the source code tree.
## Getting in touch
Join [LLVM Discourse forums](https://discourse.llvm.org/), [discord chat](https://discord.gg/xS7Z362) or #llvm IRC channel on [OFTC](https://oftc.net/).
The LLVM project has adopted a [code of conduct](https://llvm.org/docs/CodeOfConduct.html) for
participants to all modes of communication within the project.
```
clang -cl-std=CL2.0 -target riscv32 -mcpu=ventus-gpgpu -O1 -S vector_add.cl -o vector_add.s
```