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Kirill Naumov d48c7859fb [InlineCost] GetElementPtr with constant operands
If the GEP instruction contanins only constants as its arguments,
then it should be recognized as a constant. For now, there was
also added a flag to turn off this simplification if it causes
any regressions ("disable-gep-const-evaluation") which is off
by default. Once I gather needed data of the effectiveness of
this simplification, the flag will be deleted.

Reviewers: apilipenko, davidxl, mtrofin

Reviewed By: mtrofin

Differential Revision: https://reviews.llvm.org/D81026
2020-06-25 18:09:51 +00:00
clang [Sema][CodeComplete][ObjC] Don't split the first selector fragment 2020-06-25 13:58:27 -04:00
clang-tools-extra Repair various issues with modernize-avoid-bind 2020-06-25 07:29:53 -04:00
compiler-rt [PGO] Extend the value profile buckets for mem op sizes. 2020-06-25 10:22:56 -07:00
debuginfo-tests [Dexter] Add --source-dir-root flag 2020-06-18 09:29:08 -07:00
flang [flang] add RTBuilder.h 2020-06-23 14:54:45 -07:00
libc [libc] Enable copysignl, frexpl, logbl and modfl on aarch64. 2020-06-24 00:16:23 -07:00
libclc libclc: update website url 2020-05-29 09:18:37 +02:00
libcxx [libc++abi] Allow specifying custom Lit config files 2020-06-25 12:15:15 -04:00
libcxxabi [libc++abi] Allow specifying custom Lit config files 2020-06-25 12:15:15 -04:00
libunwind [libunwind] Allow specifying custom Lit config files 2020-06-25 12:15:15 -04:00
lld [lld-macho] Remove using namespace llvm::MachO 2020-06-24 13:46:13 -07:00
lldb [lldb/Docs] Add more details to the issues with custom Python installs on macOS 2020-06-25 10:53:30 -07:00
llvm [InlineCost] GetElementPtr with constant operands 2020-06-25 18:09:51 +00:00
mlir [mlir][EDSC] Add divis and diviu and vector.extractelement 2020-06-25 08:11:30 -07:00
openmp [OpenMP] Adopt std::set in HostDataToTargetMap 2020-06-24 12:22:45 -04:00
parallel-libs [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
polly [SVE] Eliminate calls to default-false VectorType::get() from polly 2020-05-29 10:04:06 -07:00
pstl [pstl] A fix for move placement-new (and destroy) allocated objects from raw memory. 2020-05-18 17:00:13 +03:00
utils/arcanist Use in-tree clang-format-diff.py as Arcanist linter 2020-04-06 12:02:20 -04:00
.arcconfig [arcconfig] Default base to previous revision 2020-02-24 16:20:25 -08:00
.arclint Fix .arclint on Windows 2020-04-28 09:55:48 -07:00
.clang-format
.clang-tidy - Update .clang-tidy to ignore parameters of main like functions for naming violations in clang and llvm directory 2020-01-31 16:49:45 +00:00
.git-blame-ignore-revs Add some libc++ revisions to .git-blame-ignore-revs 2020-03-17 17:30:20 -04:00
.gitignore [analyzer] SATest: Add a set of initial projects for testing 2020-06-25 12:28:22 +03:00
CONTRIBUTING.md
README.md Revert 'This is a test commit - ded57e1a06 2020-06-18 01:03:42 +05:30

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:

  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

    • mkdir build

    • 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 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.