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sstefan1 73bfb4fd52 [OpenMPOpt] initial tests for ICV tracking. Only nthreads is used.
Summary: Couple of tests to showcase what will be done and what to expect with ICV tracking.

Reviewers: jdoerfert, JonChesterfield

Subscribers: yaxunl, guansong, llvm-commits

Tags: #llvm

Differential Revision: https://reviews.llvm.org/D81114
2020-06-16 11:29:42 +02:00
clang NFC: cleanup the "(void)" case trick since the assertion is wrapped in NDEBUG. 2020-06-16 09:46:29 +02:00
clang-tools-extra [clang-tidy] For `run-clang-tidy.py` escape the paths that are used for analysis. 2020-06-16 12:21:18 +03:00
compiler-rt [asan] Unpoison signal alternate stack. 2020-06-16 02:28:38 -07:00
debuginfo-tests Change filecheck default to dump input on failure 2020-06-09 18:57:46 +00:00
flang [flang] unit test support for out-of-tree and in-tree using google tests framework 2020-06-15 22:09:56 +05:30
libc [lib][NFC] Split the floating point util functions into multiple files. 2020-06-15 23:12:00 -07:00
libclc libclc: update website url 2020-05-29 09:18:37 +02:00
libcxx [libc++] Automatically create the %T directory inside config tests 2020-06-15 19:32:06 -04:00
libcxxabi [libc++abi] Ensure custom libc++ header paths are honoured during libc++abi build 2020-06-15 13:22:51 -04:00
libunwind [libunwind][RISCV] Track PC separately from RA 2020-06-13 08:15:40 +01:00
lld [lld-macho] Specify the complete set of command-line options for ld64 2020-06-15 12:50:20 -07:00
lldb [lldb] Remove redundant access specifiers (NFC) 2020-06-15 21:34:13 -07:00
llvm [OpenMPOpt] initial tests for ICV tracking. Only nthreads is used. 2020-06-16 11:29:42 +02:00
mlir Revert "[mlir][Linalg] Retire C++ MatmulOp in favor of a linalg-ods-gen'd op." 2020-06-16 11:02:28 +02:00
openmp [OpenMP][Tests] fix data race in an OpenMP runtime test 2020-06-15 18:48:35 +02:00
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 Add GNU idutils tag filename to .gitignore. 2020-06-12 16:06:44 -04:00
CONTRIBUTING.md
README.md Revert "This is a test commit." 2020-04-11 15:55:07 -07:00

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.