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Andrew Savonichev b702276ad0 [AArch64] Add Machine InstCombiner patterns for FMUL indexed variant
This patch adds DUP+FMUL => FMUL_indexed pattern to InstCombiner.
FMUL_indexed is normally selected during instruction selection, but it
does not work in cases when VDUP and VMUL are in different basic
blocks.

Differential Revision: https://reviews.llvm.org/D99662
2021-11-09 15:30:19 +03:00
.github/workflows Disable lockdown for external forks by default 2021-10-29 14:54:20 -07:00
clang Revert "[OpenCL] Allow optional __generic in __remove_address_space utility" 2021-11-09 09:42:17 +00:00
clang-tools-extra [clang-tidy] Fix lint warning in ClangTidyDiagnosticConsumer.cpp (NFC) 2021-11-10 01:09:35 +13:00
cmake/Modules [libunwind] Try to add --unwindlib=none while configuring and building libunwind 2021-11-05 10:10:19 +02:00
compiler-rt [cmake] By default do not instrument compiler-rt if LLVM_BUILD_INSTRUMENTED_COVERAGE is ON 2021-11-09 10:59:25 +01:00
cross-project-tests DebugInfo: Simplified Template Names: drop unneeded space in arrays 2021-11-05 22:50:57 -07:00
flang Revert "[fir] Add complex operations conversion from FIR LLVM IR" 2021-11-09 13:07:36 +01:00
libc [libc] add stpcpy and stpncpy 2021-11-04 11:39:26 -07:00
libclc Revert "Use GNUInstallDirs to support custom installation dirs. -- LLVM" 2021-11-02 19:11:44 +01:00
libcxx [libc++] [test] Eliminate the libcpp-no-if-constexpr feature flag. 2021-11-08 16:58:47 -05:00
libcxxabi Reland "[libcxxabi][ARM] Make CXX_end_cleanup compatible with Armv6-M" 2021-11-09 12:53:53 +01:00
libunwind [libunwind] Try to add --unwindlib=none while configuring and building libunwind 2021-11-05 10:10:19 +02:00
lld [docs] Remove outdated documentation for the legacy Atom-based LLD 2021-11-08 15:20:16 -08:00
lldb [debugserver] Put building for arm64e behind a CMake flag 2021-11-08 21:01:43 -08:00
llvm [AArch64] Add Machine InstCombiner patterns for FMUL indexed variant 2021-11-09 15:30:19 +03:00
mlir [MLIR][NFC] FlatAffineConstraints: Refactor division representation computation 2021-11-09 14:08:15 +05:30
openmp Revert "[clang][openmp][NFC] Remove arch-specific CGOpenMPRuntimeGPU files" 2021-11-09 02:10:42 -05:00
polly [NFC] Inclusive Language: change master to main for .chm files 2021-11-08 08:23:04 -06:00
pstl [pstl] A hot fix for a reduction parallel pattern of OpenMP backend 2021-10-27 18:52:41 +03:00
runtimes [runtimes] Make sure LLVM_LIT_ARGS is set before including individual runtimes 2021-10-19 08:21:29 -04:00
utils [MLIR] Attribute and type formats in ODS 2021-11-08 17:38:28 +00:00
.arcconfig
.arclint
.clang-format
.clang-tidy
.git-blame-ignore-revs
.gitignore
.mailmap Add self to .mailmap 2021-10-12 15:51:01 +02:00
CONTRIBUTING.md
README.md Remove unused parallel-libs project 2021-10-21 14:34:39 -07:00
SECURITY.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 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 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:

  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='...' --- semicolon-separated list of the LLVM sub-projects you'd like to additionally build. Can include any of: clang, clang-tools-extra, compiler-rt,cross-project-tests, flang, libc, libclc, libcxx, libcxxabi, libunwind, lld, lldb, mlir, openmp, polly, or pstl.

        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 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, 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.