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Amara Emerson dc84770d55 [GlobalISel] Add a store-merging optimization pass and enable for AArch64.
This is a first attempt at a constant value consecutive store merging pass,
a counterpart to the DAGCombiner's store merging optimization.

The high level goals of this pass:

* Have a simple and efficient algorithm. As close to linear time as we can get.
  Thus, prioritizing scalability of the algorithm over merging every corner case
  we can find. The DAGCombiner's store merging code has been the source of
  compile time and complexity issues in the past and I wanted to avoid that.
* Don't introduce any new data structures for ordering memory operations. In MIR,
  we don't have the concept of chains like we do in the DAG, and the instruction
  order is stricter than enforcing ordering with graph edges. Although I
  considered adding something similar, I couldn't justify the overhead.

The pass is current split into 3 main parts. The main store merging code focuses
on identifying candidate stores and managing the candidate group that's under
consideration for merging. Analyzing addressing of stores is a potentially
complex part and for now there's just a basic implementation to identify easy
cases. Finally, the other main bit of complexity is the alias analysis, which
tries to follow the same logic as the DAG's AA.

Currently this implementation only supports merging of constant stores. Stores
of arbitrary variables are technically possible with a very small change, but
the DAG chooses not to do this. Doing so here makes most code worse since
there's extra overhead in merging values into wider registers.

On AArch64 -Os, this optimization results in very minor savings on CTMark.

Differential Revision: https://reviews.llvm.org/D109131
2021-11-15 21:10:39 -08:00
.github/workflows Disable lockdown for external forks by default 2021-10-29 14:54:20 -07:00
clang [clang] NFC: rename internal `IsPossiblyOpaquelyQualifiedType` overload 2021-11-16 03:09:50 +01:00
clang-tools-extra [clang] retain type sugar in auto / template argument deduction 2021-11-15 23:07:45 +01:00
cmake/Modules [libunwind] Try to add --unwindlib=none while configuring and building libunwind 2021-11-05 10:10:19 +02:00
compiler-rt add tsan shared lib 2021-11-16 00:42:30 +00:00
cross-project-tests llvm-dwarfdump: Lookup type units when prettyprinting types 2021-11-09 16:58:22 -08:00
flang [flang] Allow implicit procedure pointers to associate with explicit procedures 2021-11-15 09:51:25 -08:00
libc [NFC] Trim trailing whitespace in *.rst 2021-11-15 09:17:08 +08:00
libclc Revert "Use `GNUInstallDirs` to support custom installation dirs. -- LLVM" 2021-11-02 19:11:44 +01:00
libcxx [clang] retain type sugar in auto / template argument deduction 2021-11-15 23:07:45 +01:00
libcxxabi [libcxx][CI][AIX] Switch to LLVM_ENABLE_RUNTIMES 2021-11-09 16:04:10 -05:00
libunwind [libunwind] Try to add --unwindlib=none while configuring and building libunwind 2021-11-05 10:10:19 +02:00
lld [NFC][lld] Inclusive language: change master file to merged file 2021-11-15 14:32:09 -06:00
lldb Add the stop count to "statistics dump" in each target's dictionary. 2021-11-15 18:59:09 -08:00
llvm [GlobalISel] Add a store-merging optimization pass and enable for AArch64. 2021-11-15 21:10:39 -08:00
mlir [mlir][linalg][bufferize][NFC] Clean up tensor op bufferization 2021-11-16 11:17:42 +09:00
openmp [NFC] Trim trailing whitespace in *.rst 2021-11-15 09:17:08 +08:00
polly [Polly][Isl] Fix -Wsign-compare after D113101 2021-11-11 00:17:52 -08:00
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 [Bazel] Enable layering_check for MLIR build 2021-11-15 15:53:22 -08:00
.arcconfig Add modern arc config for default "onto" branch 2021-02-22 11:58:13 -08:00
.arclint PR46997: don't run clang-format on clang's testcases. 2020-08-04 17:53:25 -07:00
.clang-format Revert "Title: [RISCV] Add missing part of instruction vmsge {u}. VX Review By: craig.topper Differential Revision : https://reviews.llvm.org/D100115" 2021-04-14 08:04:37 +01:00
.clang-tidy .clang-tidy: Disable misc-no-recursion in general/across the monorepo 2021-06-08 08:31:33 -07:00
.git-blame-ignore-revs [lldb] Add 9494c510af to .git-blame-ignore-revs 2021-06-10 09:29:59 -07:00
.gitignore [NFC] Add CMakeUserPresets.json filename to .gitignore 2021-01-22 12:45:29 +01:00
.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 [docs] Describe reporting security issues on the chromium tracker. 2021-05-19 15:21:50 -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 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.