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270 lines
10 KiB
Markdown
270 lines
10 KiB
Markdown
# mold: A Modern Linker
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[![CI](https://github.com/rui314/mold/actions/workflows/ci.yml/badge.svg)](https://github.com/rui314/mold/actions/workflows/ci.yml)
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<i>This repository contains a free version of the mold linker.
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If you are looking for a commercial version that supports macOS
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please visit the
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[repository of the sold linker](https://github.com/bluewhalesystems/sold).</i>
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mold is a faster drop-in replacement for existing Unix linkers. It is several
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times quicker than the LLVM lld linker, the second-fastest open-source linker,
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which I initially developed a few years ago. mold aims to enhance developer
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productivity by minimizing build time, particularly in rapid
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debug-edit-rebuild cycles.
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Here is a performance comparison of GNU gold, LLVM lld, and mold when linking
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final debuginfo-enabled executables for major large programs on a simulated
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8-core, 16-thread machine.
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![Link speed comparison](docs/comparison.png)
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| Program (linker output size) | GNU gold | LLVM lld | mold
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|-------------------------------|----------|----------|--------
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| Chrome 96 (1.89 GiB) | 53.86s | 11.74s | 2.21s
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| Clang 13 (3.18 GiB) | 64.12s | 5.82s | 2.90s
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| Firefox 89 libxul (1.64 GiB) | 32.95s | 6.80s | 1.42s
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mold is so fast that it is only 2x _slower_ than the `cp` command on the same
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machine. If you find that mold is not faster than other linkers, please feel
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free to [file a bug report](https://github.com/rui314/mold/issues).
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mold supports x86-64, i386, ARM64, ARM32, 64-bit/32-bit little/big-endian
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RISC-V, 32-bit PowerPC, 64-bit big-endian PowerPC ELFv1, 64-bit little-endian
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PowerPC ELFv2, s390x, 64-bit/32-bit LoongArch, SPARC64, m68k, SH-4, and DEC
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Alpha.
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mold/macOS is commercial software. For mold/macOS, please visit
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https://github.com/bluewhalesystems/sold.
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## Why does linking speed matter?
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If you are using a compiled language such as C, C++, or Rust, a build consists
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of two phases. In the first phase, a compiler compiles source files into
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object files (`.o` files). In the second phase, a linker takes all object
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files and combines them into a single executable or shared library file.
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The second phase can be time-consuming if your build output is large. mold can
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speed up this process, saving you time and preventing distractions while
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waiting for a lengthy build to finish. The difference is most noticeable
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during rapid debug-edit-rebuild cycles.
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## Installation
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Binary packages for the following systems are currently available:
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[![Packaging status](https://repology.org/badge/vertical-allrepos/mold.svg)](https://repology.org/project/mold/versions)
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## How to Build
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mold is written in C++20, so if you build mold yourself, you will need a
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recent version of a C++ compiler and a C++ standard library. We recommend GCC
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10.2 or Clang 12.0.0 (or later) and libstdc++ 10 or libc++ 7 (or later).
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### Install Dependencies
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To install build dependencies, run `./install-build-deps.sh` in this
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directory. It will detect your Linux distribution and attempt to install the
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necessary packages. You may need to run it as root.
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### Compile mold
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```shell
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git clone https://github.com/rui314/mold.git
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mkdir mold/build
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cd mold/build
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git checkout v2.1.0
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../install-build-deps.sh
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cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMPILER=c++ ..
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cmake --build . -j $(nproc)
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sudo cmake --install .
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```
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You might need to pass a C++20 compiler command name to `cmake`. In the
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example above, `c++` is passed. If that doesn't work for you, try a specific
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version of a compiler, such as `g++-10` or `clang++-12`.
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By default, `mold` is installed to `/usr/local/bin`. You can change the
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installation location by passing `-DCMAKE_INSTALL_PREFIX=<directory>`.
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For other cmake options, see the comments in `CMakeLists.txt`.
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If you are not using a recent enough Linux distribution, or if `cmake` does
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not work for you for any reason, you can use Docker to build mold in a Docker
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environment. To do so, run `./dist.sh` in this directory instead of using
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`cmake`. The shell script will pull a Docker image, build mold and auxiliary
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files inside it, and package them into a single tar file named
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`mold-$version-$arch-linux.tar.gz`. You can extract the tar file anywhere and
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use the mold executable within it.
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## How to use
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<details><summary>A classic way to use mold</summary>
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On Unix, the linker command (usually `/usr/bin/ld`) is indirectly invoked by
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the compiler driver (typically `cc`, `gcc`, or `clang`), which is in turn
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indirectly invoked by `make` or another build system command.
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If you can specify an additional command line option for your compiler driver
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by modifying the build system's config files, add one of the following flags
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to use mold instead of `/usr/bin/ld`:
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- For Clang: pass `-fuse-ld=mold`
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- For GCC 12.1.0 or later: pass `-fuse-ld=mold`
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- For GCC before 12.1.0: the `-fuse-ld` option does not accept `mold` as a
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valid argument, so you need to use the `-B` option instead. The `-B` option
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tells GCC where to look for external commands like `ld`.
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If you have installed mold with `make install`, there should be a directory
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named `/usr/libexec/mold` (or `/usr/local/libexec/mold`, depending on your
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`$PREFIX`), and the `ld` command should be there. The `ld` is actually a
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symlink to `mold`. So, all you need is to pass `-B/usr/libexec/mold` (or
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`-B/usr/local/libexec/mold`) to GCC.
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If you haven't installed `ld.mold` to any `$PATH`, you can still pass
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`-fuse-ld=/absolute/path/to/mold` to clang to use mold. However, GCC does not
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accept an absolute path as an argument for `-fuse-ld`.
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</details>
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<details><summary>If you are using Rust</summary>
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Create `.cargo/config.toml` in your project directory with the following:
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```toml
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[target.x86_64-unknown-linux-gnu]
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linker = "clang"
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rustflags = ["-C", "link-arg=-fuse-ld=/path/to/mold"]
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```
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where `/path/to/mold` is an absolute path to the mold executable. In the
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example above, we use `clang` as a linker driver since it always accepts the
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`-fuse-ld` option. If your GCC is recent enough to recognize the option, you
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may be able to remove the `linker = "clang"` line.
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```toml
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[target.x86_64-unknown-linux-gnu]
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rustflags = ["-C", "link-arg=-fuse-ld=/path/to/mold"]
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```
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If you want to use mold for all projects, add the above snippet to
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`~/.cargo/config.toml`.
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</details>
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<details><summary>If you are using Nim</summary>
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Create `config.nims` in your project directory with the following:
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```nim
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when findExe("mold").len > 0 and defined(linux):
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switch("passL", "-fuse-ld=mold")
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```
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where `mold` must be included in the `PATH` environment variable. In this
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example, `gcc` is used as the linker driver. Use the `-fuse-ld` option if your
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GCC is recent enough to recognize this option.
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If you want to use mold for all projects, add the above snippet to
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`~/.config/config.nims`.
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</details>
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<details><summary>mold -run</summary>
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It is sometimes very hard to pass an appropriate command line option to `cc`
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to specify an alternative linker. To address this situation, mold has a
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feature to intercept all invocations of `ld`, `ld.lld`, or `ld.gold` and
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redirect them to itself. To use this feature, run `make` (or another build
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command) as a subcommand of mold as follows:
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```shell
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mold -run make <make-options-if-any>
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```
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Internally, mold invokes the given command with the `LD_PRELOAD` environment
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variable set to its companion shared object file. The shared object file
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intercepts all function calls to `exec(3)`-family functions to replace
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`argv[0]` with `mold` if it is `ld`, `ld.gold`, or `ld.lld`.
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</details>
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<details><summary>GitHub Actions</summary>
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You can use our [setup-mold](https://github.com/rui314/setup-mold) GitHub
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Action to speed up GitHub-hosted continuous builds. Although GitHub Actions
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run on a two-core machine, mold is still significantly faster than the default
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GNU linker, especially when linking large programs.
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</details>
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<details><summary>Verify that you are using mold</summary>
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mold leaves its identification string in the `.comment` section of an output
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file. You can print it out to verify that you are actually using mold.
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```shell
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$ readelf -p .comment <executable-file>
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String dump of section '.comment':
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[ 0] GCC: (Ubuntu 10.2.0-5ubuntu1~20.04) 10.2.0
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[ 2b] mold 9a1679b47d9b22012ec7dfbda97c8983956716f7
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```
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If `mold` is present in the `.comment` section, the file was created by mold.
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</details>
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<details><summary>Online manual</summary>
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Since mold is a drop-in replacement, you should be able to use it without
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reading its manual. However, if you need it, [mold's man page](docs/mold.md)
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is available. You can read the same manual by running `man mold`.
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</details>
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## Why is mold so fast?
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One reason is that it utilizes faster algorithms and more efficient data
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structures compared to other linkers. Another reason is that mold is highly
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parallelized.
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Here is a side-by-side comparison of per-core CPU usage for lld (left) and
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mold (right), linking the same program, a Chromium executable.
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![CPU usage comparison in htop animation](docs/htop.gif)
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As you can see, mold uses all available cores throughout its execution and
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finishes quickly. In contrast, lld fails to utilize available cores most of
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the time. In this demo, the maximum parallelism is artificially capped at 16,
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so that the bars fit in the GIF.
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For details, please see the [design notes](docs/design.md).
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## Sponsors
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We accept donations via [GitHub Sponsors](https://github.com/sponsors/rui314)
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and [OpenCollective](https://opencollective.com/mold-linker). We thank
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everyone who sponsors our project. In particular, we'd like to acknowledge the
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following people and organizations who have sponsored $128/month or more:
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### Corporate sponsors
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<a href="https://mercury.com"><img src="docs/mercury-logo.png" align=center height=120 width=400 alt=Mercury></a>
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<a href="https://cybozu-global.com"><img src="docs/cyboze-logo.png" align=center height=120 width=133 alt=Cybozu></a>
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<a href="https://www.emergetools.com"><img src="docs/emerge-tools-logo.png" align=center height=120 width=240 alt="Emerge Tools"></a><br>
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- [Uber](https://uber.com)
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- [G-Research](https://www.gresearch.co.uk)
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- [Signal Slot Inc.](https://github.com/signal-slot)
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### Individual sponsors
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- [300baud](https://github.com/300baud)
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- [Johan Andersson](https://github.com/repi)
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- [Wei Wu](https://github.com/lazyparser)
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- [kyle-elliott](https://github.com/kyle-elliott)
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