Florian Hahn d8d1cc647d [SLP] Also try to vectorize incoming values of PHIs .
Currently we do not consider incoming values of PHIs as roots for SLP
vectorization. This means we miss scenarios like the one in the test
case and PR47670.

It appears quite straight-forward to consider incoming values of PHIs as
roots for vectorization, but I might be missing something that makes
this problematic.

In terms of vectorized instructions, this applies to quite a few
benchmarks across MultiSource/SPEC2000/SPEC2006 on X86 with -O3 -flto

    Same hash: 185 (filtered out)
    Remaining: 52
    Metric: SLP.NumVectorInstructions

    Program                                        base    patch   diff
     test-suite...ProxyApps-C++/HPCCG/HPCCG.test     9.00   27.00  200.0%
     test-suite...C/CFP2000/179.art/179.art.test     8.00   22.00  175.0%
     test-suite...T2006/458.sjeng/458.sjeng.test    14.00   30.00  114.3%
     test-suite...ce/Benchmarks/PAQ8p/paq8p.test    11.00   18.00  63.6%
     test-suite...s/FreeBench/neural/neural.test    12.00   18.00  50.0%
     test-suite...rimaran/enc-3des/enc-3des.test    65.00   95.00  46.2%
     test-suite...006/450.soplex/450.soplex.test    63.00   89.00  41.3%
     test-suite...ProxyApps-C++/CLAMR/CLAMR.test   177.00  250.00  41.2%
     test-suite...nchmarks/McCat/18-imp/imp.test    13.00   18.00  38.5%
     test-suite.../Applications/sgefa/sgefa.test    26.00   35.00  34.6%
     test-suite...pplications/oggenc/oggenc.test   100.00  133.00  33.0%
     test-suite...6/482.sphinx3/482.sphinx3.test   103.00  134.00  30.1%
     test-suite...oxyApps-C++/miniFE/miniFE.test   169.00  213.00  26.0%
     test-suite.../Benchmarks/Olden/tsp/tsp.test    59.00   73.00  23.7%
     test-suite...TimberWolfMC/timberwolfmc.test   503.00  622.00  23.7%
     test-suite...T2006/456.hmmer/456.hmmer.test    65.00   79.00  21.5%
     test-suite...libquantum/462.libquantum.test    58.00   68.00  17.2%
     test-suite...ternal/HMMER/hmmcalibrate.test    84.00   98.00  16.7%
     test-suite...ications/JM/ldecod/ldecod.test   351.00  401.00  14.2%
     test-suite...arks/VersaBench/dbms/dbms.test    52.00   57.00   9.6%
     test-suite...ce/Benchmarks/Olden/bh/bh.test   118.00  128.00   8.5%
     test-suite.../Benchmarks/Bullet/bullet.test   6355.00 6880.00  8.3%
     test-suite...nsumer-lame/consumer-lame.test   480.00  519.00   8.1%
     test-suite...000/183.equake/183.equake.test   226.00  244.00   8.0%
     test-suite...chmarks/Olden/power/power.test   105.00  113.00   7.6%
     test-suite...6/471.omnetpp/471.omnetpp.test    92.00   99.00   7.6%
     test-suite...ications/JM/lencod/lencod.test   1173.00 1261.00  7.5%
     test-suite...0/253.perlbmk/253.perlbmk.test    55.00   59.00   7.3%
     test-suite...oxyApps-C/miniAMR/miniAMR.test    92.00   98.00   6.5%
     test-suite...chmarks/MallocBench/gs/gs.test   446.00  473.00   6.1%
     test-suite.../CINT2006/403.gcc/403.gcc.test   464.00  491.00   5.8%
     test-suite...6/464.h264ref/464.h264ref.test   998.00  1055.00  5.7%
     test-suite...006/453.povray/453.povray.test   5711.00 6007.00  5.2%
     test-suite...FreeBench/distray/distray.test   102.00  107.00   4.9%
     test-suite...:: External/Povray/povray.test   4184.00 4378.00  4.6%
     test-suite...DOE-ProxyApps-C/CoMD/CoMD.test   112.00  117.00   4.5%
     test-suite...T2006/445.gobmk/445.gobmk.test   104.00  108.00   3.8%
     test-suite...CI_Purple/SMG2000/smg2000.test   789.00  819.00   3.8%
     test-suite...yApps-C++/PENNANT/PENNANT.test   233.00  241.00   3.4%
     test-suite...marks/7zip/7zip-benchmark.test   417.00  428.00   2.6%
     test-suite...arks/mafft/pairlocalalign.test   627.00  643.00   2.6%
     test-suite.../Benchmarks/nbench/nbench.test   259.00  265.00   2.3%
     test-suite...006/447.dealII/447.dealII.test   4641.00 4732.00  2.0%
     test-suite...lications/ClamAV/clamscan.test   106.00  108.00   1.9%
     test-suite...CFP2000/177.mesa/177.mesa.test   1639.00 1664.00  1.5%
     test-suite...oxyApps-C/RSBench/rsbench.test    66.00   65.00  -1.5%
     test-suite.../CINT2000/252.eon/252.eon.test   3416.00 3444.00  0.8%
     test-suite...CFP2000/188.ammp/188.ammp.test   1846.00 1861.00  0.8%
     test-suite.../CINT2000/176.gcc/176.gcc.test   152.00  153.00   0.7%
     test-suite...CFP2006/444.namd/444.namd.test   3528.00 3544.00  0.5%
     test-suite...T2006/473.astar/473.astar.test    98.00   98.00   0.0%
     test-suite...frame_layout/frame_layout.test    NaN     39.00   nan%

On ARM64, there appears to be a slight regression on SPEC2006, which
might be interesting to investigate:

   test-suite...T2006/473.astar/473.astar.test   0.9%

Reviewed By: ABataev

Differential Revision: https://reviews.llvm.org/D88735
2020-11-06 12:50:32 +00:00

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.

Description
No description provided
Readme 5.5 GiB
Languages
LLVM 41.5%
C++ 31.7%
C 13%
Assembly 9.1%
MLIR 1.5%
Other 2.8%