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Ricky Taylor 8d3f112f0c [M68k] Update pointer data layout
Fixes PR51626.

The M68k requires that all instruction, word and long word reads are
aligned to word boundaries. From the 68020 onwards, there is a
performance benefit from aligning long words to long word boundaries.

The M68k uses the same data layout for pointers and integers.

In line with this, this commit updates the pointer data layout to
match the layout already set for 32-bit integers: 32:16:32.

Differential Revision: https://reviews.llvm.org/D108792
2021-08-27 11:47:27 +01:00
.github
clang [M68k] Update pointer data layout 2021-08-27 11:47:27 +01:00
clang-tools-extra [clang-tidy] Add bugprone-suspicious-memory-comparison check 2021-08-26 09:23:37 +02:00
compiler-rt [ORC][ORC-RT] Reapply "Introduce ELF/*nix Platform and runtime..." with fixes. 2021-08-27 14:41:58 +10:00
cross-project-tests [cross-project-tests] Add/update check-* targets for cross-project-tests 2021-06-28 11:31:41 +01:00
flang [flang] Take result length into account in ApplyElementwise folding 2021-08-26 09:46:14 +02:00
libc [libc][NFC] Move the mutex implementation into a utility class. 2021-08-26 18:49:20 +00:00
libclc libclc: Fix rounding during type conversion 2021-08-19 22:24:19 -07:00
libcxx [libc++][NFC] Sort headers alphabetically 2021-08-26 14:18:09 -04:00
libcxxabi [libc++abi] Apply simplify scan_eh_tab to SjLj 2021-08-24 16:51:53 -04:00
libunwind [libunwind] Don't include cet.h/immintrin.h unconditionally 2021-08-26 11:37:07 +02:00
lld [lld-macho][nfc] Clean up InputSection constructors 2021-08-26 19:07:48 -04:00
lldb Remove set-but-unused variable 2021-08-26 16:58:47 -07:00
llvm [M68k] Update pointer data layout 2021-08-27 11:47:27 +01:00
mlir [mlir][spirv] Initial support for 64 bit index type and builtins 2021-08-27 01:38:53 +03:00
openmp [libomptarget][NFC] Replaced obsolete name "getOrAllocTgtPtr" with new "getTargetPointer" in debug messages. 2021-08-26 18:01:18 -07:00
parallel-libs
polly polly: remove the old reference to svn in the doc 2021-08-27 10:46:50 +02:00
pstl [libc++] Remove test-suite annotations for unsupported Clang versions 2021-08-20 15:05:13 -04:00
runtimes
utils [mlir][linalg] Replace AffineMinSCFCanonicalizationPattern with SCF reimplementation 2021-08-25 08:52:56 +09:00
.arcconfig
.arclint
.clang-format
.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
.mailmap Simplify a .mailmap entry 2021-08-18 09:16:16 -04:00
CONTRIBUTING.md
README.md [RFC][debuginfo-test] Rename debug-info lit tests for general purposes 2021-06-28 11:31:40 +01:00
SECURITY.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 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, libcxx, libcxxabi, libunwind, lldb, compiler-rt, lld, polly, or cross-project-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 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.