1e55cf77f3
LLVM IR currently assumes some form of forward progress. This form is not explicitly defined anywhere, and is the cause of miscompilations in most languages that are not C++11 or later. This implicit forward progress guarantee can not be opted out of on a function level nor on a loop level. Languages such as C (C11 and later), C++ (pre-C++11), and Rust have different forward progress requirements and this needs to be evident in the IR. Specifically, C11 and onwards (6.8.5, Paragraph 6) states that "An iteration statement whose controlling expression is not a constant expression, that performs no input/output operations, does not access volatile objects, and performs no synchronization or atomic operations in its body, controlling expression, or (in the case of for statement) its expression-3, may be assumed by the implementation to terminate." C++11 and onwards does not have this assumption, and instead assumes that every thread must make progress as defined in [intro.progress] when it comes to scheduling. This was initially brought up in [0] as a bug, a solution was presented in [1] which is the current workaround, and the predecessor to this change was [2]. After defining a notion of forward progress for IR, there are two options to address this: 1) Set the default to assuming Forward Progress and provide an opt-out for functions and an opt-in for loops. 2) Set the default to not assuming Forward Progress and provide an opt-in for functions, and an opt-in for loops. Option 2) has been selected because only C++11 and onwards have a forward progress requirement and it makes sense for them to opt-into it via the defined `mustprogress` function attribute. The `mustprogress` function attribute indicates that the function is required to make forward progress as defined. This is sharply in contrast to the status quo where this is implicitly assumed. In addition, `willreturn` implies `mustprogress`. The background for why this definition was chosen is in [3] and for why the option was chosen is in [4] and the corresponding thread(s). The implementation is in D85393, the clang patch is in D86841, the LoopDeletion patch is in D86844, the Inliner patches are in D87180 and D87262, and there will be more incoming. [0] https://bugs.llvm.org/show_bug.cgi?id=965#c25 [1] https://lists.llvm.org/pipermail/llvm-dev/2017-October/118558.html [2] https://reviews.llvm.org/D65718 [3] https://lists.llvm.org/pipermail/llvm-dev/2020-September/144919.html [4] https://lists.llvm.org/pipermail/llvm-dev/2020-September/145023.html Reviewed By: jdoerfert, efriedma, nikic Differential Revision: https://reviews.llvm.org/D86233 |
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clang | ||
clang-tools-extra | ||
compiler-rt | ||
debuginfo-tests | ||
flang | ||
libc | ||
libclc | ||
libcxx | ||
libcxxabi | ||
libunwind | ||
lld | ||
lldb | ||
llvm | ||
mlir | ||
openmp | ||
parallel-libs | ||
polly | ||
pstl | ||
utils/arcanist | ||
.arcconfig | ||
.arclint | ||
.clang-format | ||
.clang-tidy | ||
.git-blame-ignore-revs | ||
.gitignore | ||
CONTRIBUTING.md | ||
README.md |
README.md
The LLVM Compiler Infrastructure
This directory and its sub-directories contain 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 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 converts it 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 front end. 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:
-
Checkout LLVM (including related sub-projects like Clang):
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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
-
-
Configure and build LLVM and Clang:
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cd llvm-project
-
mkdir build
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cd build
-
cmake -G <generator> [options] ../llvm
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='...'
--- semicolon-separated list of the LLVM sub-projects you'd like to additionally build. Can include any of: clang, clang-tools-extra, libcxx, libcxxabi, libunwind, lldb, compiler-rt, lld, polly, or debuginfo-tests.For example, to build LLVM, Clang, libcxx, and libcxxabi, use
-DLLVM_ENABLE_PROJECTS="clang;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
). -
-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 . [-- [options] <target>]
or your build system specified above directly.-
The default target (i.e.
ninja
ormake
) 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
, whereNNN
is the number of parallel jobs, e.g. the number of CPUs you have.
-
-
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.