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Changpeng Fang 5b648df1a8 AMDGPU: Reduce the number of expensive calls in SIFormMemoryClause
Summary:
  RPTracker::reset(MI) is a very expensive call when the number of virtual registers is huge.
We observed a long compilation time issue when RPT::reset() is called once for each cluster.

In this work, we call RPT.reset() only at the first seen cluster, and use advance() to get
the register pressure for the later clusters in the same basic block. This could effectively reduce the number
of the expensive calls and thus reduce the compile time.

Reviewers:
  rampitec

Fixes:
  SWDEV-239161

Differential Revision:
  https://reviews.llvm.org/D95273
2021-01-25 16:08:08 -08:00
.github
clang [NFC] Disallow unused prefixes in clang/test/Analysis 2021-01-25 15:53:00 -08:00
clang-tools-extra [clangd] Allow configuration database to be specified in config. 2021-01-25 23:15:48 +01:00
compiler-rt [scudo][standalone] Enable death tests on Fuchsia 2021-01-25 09:19:10 -08:00
debuginfo-tests
flang [flang] Fix errors in ISO_FORTRAN_ENV module for REAL128 2021-01-25 13:41:32 -08:00
libc [libc] Distinguish compiler and run failures 2021-01-21 15:27:34 -08:00
libclc
libcxx libcxx: Try to fix build after D92044 2021-01-25 15:10:41 -05:00
libcxxabi [libc++] Set CMAKE_FOLDER. NFC. 2021-01-25 09:51:16 +01:00
libunwind
lld [lld-macho] Link against ObjCARCOpts instead of ObjCARC 2021-01-25 19:01:48 -05:00
lldb [lldb/Lua] add support for Lua function breakpoint 2021-01-25 23:40:57 +00:00
llvm AMDGPU: Reduce the number of expensive calls in SIFormMemoryClause 2021-01-25 16:08:08 -08:00
mlir [mlir:Async] Add intermediate async.coro and async.runtime operations to simplify Async to LLVM lowering 2021-01-25 14:04:33 -08:00
openmp [OpenMP][deviceRTLs] Remove omp_is_initial_device 2021-01-25 18:34:23 -05:00
parallel-libs
polly [Polly] Track defined behavior for PHI predecessor computation. 2021-01-23 13:03:49 -06:00
pstl
runtimes
utils/arcanist
.arcconfig
.arclint
.clang-format
.clang-tidy
.git-blame-ignore-revs
.gitignore [NFC] Add CMakeUserPresets.json filename to .gitignore 2021-01-22 12:45:29 +01:00
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:

  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.