MARTINI

MARTINI: The Little Match and Replace Tool for Automatic Code Rewriting - Published in JOSS (2022)

https://github.com/ajohnson-uoregon/llvm-project

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
  • Committers with academic emails
    117 of 3312 committers (3.5%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords from Contributors

parallelism cpp17 distributed optimisation physics amrex optim unconstrained-optimisation unconstrained-optimization
Last synced: 6 months ago · JSON representation

Repository

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

Basic Info
  • Host: GitHub
  • Owner: ajohnson-uoregon
  • Default Branch: main
  • Homepage: http://llvm.org
  • Size: 1.67 GB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Fork of llvm/llvm-project
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing Security

README.md

The LLVM Compiler Infrastructure

This directory and its sub-directories contain the 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 here.

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 frontend. 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``
  1. 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](https://ninja-build.org)
      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='...'`` and ``-DLLVM_ENABLE_RUNTIMES='...'`` ---
      semicolon-separated list of the LLVM sub-projects and runtimes you'd like to
      additionally build. ``LLVM_ENABLE_PROJECTS`` can include any of: clang,
      clang-tools-extra, cross-project-tests, flang, libc, libclc, lld, lldb,
      mlir, openmp, polly, or pstl. ``LLVM_ENABLE_RUNTIMES`` can include any of
      libcxx, libcxxabi, libunwind, compiler-rt, libc or openmp. Some runtime
      projects can be specified either in ``LLVM_ENABLE_PROJECTS`` or in
      ``LLVM_ENABLE_RUNTIMES``.

      For example, to build LLVM, Clang, libcxx, and libcxxabi, use
      ``-DLLVM_ENABLE_PROJECTS="clang" -DLLVM_ENABLE_RUNTIMES="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``). Be careful if you install runtime libraries: if
      your system uses those provided by LLVM (like libc++ or libc++abi), you
      must not overwrite your system's copy of those libraries, since that
      could render your system unusable. In general, using something like
      ``/usr`` is not advised, but ``/usr/local`` is fine.

    * ``-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 to run.
      In most cases, you get the best performance if you specify the number of CPU threads you have.
      On some Unix systems, you can specify this with ``-j$(nproc)``.

  * For more information see [CMake](https://llvm.org/docs/CMake.html).

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.

Getting in touch

Join LLVM Discourse forums, discord chat or #llvm IRC channel on OFTC.

The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.

Owner

  • Login: ajohnson-uoregon
  • Kind: user

JOSS Publication

MARTINI: The Little Match and Replace Tool for Automatic Code Rewriting
Published
August 13, 2022
Volume 7, Issue 76, Page 4590
Authors
Alister Johnson ORCID
University of Oregon, Eugene, OR, USA
Camille Coti
Université du Québec à Montréal, Montréal, QC, Canada
Allen D. Malony
University of Oregon, Eugene, OR, USA
Johannes Doerfert ORCID
Argonne National Laboratory, Lemont, IL, USA
Editor
Daniel S. Katz ORCID
Tags
Clang meteprogramming refactoring AST matchers Euro-Par

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Ted Kremenek k****k@a****m 6,108
Sanjay Patel s****l@r****m 5,838
Daniel Dunbar d****l@z****g 5,441
Evan Cheng e****g@a****m 5,371
Douglas Gregor d****r@a****m 5,363
Matt Arsenault M****t@a****m 5,080
Benjamin Kramer b****a@g****m 4,900
Dan Gohman g****n@a****m 4,781
Rui Ueyama r****u@g****m 4,591
Richard Smith r****m@m****k 4,540
Chandler Carruth c****c@g****m 3,939
Reid Spencer r****r@r****m 3,704
Bill Wendling i****d@g****m 3,700
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Fangrui Song i@m****e 3,472
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Reid Kleckner r****k@g****m 3,172
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Fariborz Jahanian f****n@a****m 3,009
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