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Beforehand, it was unclear whether rust was performing the "recommended set" of optimizations provided by LLVM for code. This commit changes the way we run passes to closely mirror that of clang, which in theory does it correctly. The notable changes include: * Passes are no longer explicitly added one by one. This would be difficult to keep up with as LLVM changes and we don't guaranteed always know the best order in which to run passes * Passes are now managed by LLVM's PassManagerBuilder object. This is then used to populate the various pass managers run. * We now run both a FunctionPassManager and a module-wide PassManager. This is what clang does, and I presume that we *may* see a speed boost from the module-wide passes just having to do less work. I have no measured this. * The codegen pass manager has been extracted to its own separate pass manager to not get mixed up with the other passes * All pass managers now include passes for target-specific data layout and analysis passes Some new features include: * You can now print all passes being run with `-Z print-llvm-passes` * When specifying passes via `--passes`, the passes are now appended to the default list of passes instead of overwriting them. * The output of `--passes list` is now generated by LLVM instead of maintaining a list of passes ourselves * Loop vectorization is turned on by default as an optimization pass and can be disabled with `-Z no-vectorize-loops` All of these "copies" of clang are based off their [source code](http://clang.llvm.org/doxygen/BackendUtil_8cpp_source.html) in case anyone is curious what my source is. I was hoping that this would fix #8665, but this does not help the performance issues found there. Hopefully i'll allow us to tweak passes or see what's going on to try to debug that problem. |
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The Rust Programming Language
This is a compiler for Rust, including standard libraries, tools and documentation.
Quick Start
Windows
Note: Windows users should read the detailed getting started notes on the wiki. Even when using the binary installer the Windows build requires a MinGW installation, the precise details of which are not discussed here.
Linux / OS X
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Install the prerequisites (if not already installed)
- g++ 4.4 or clang++ 3.x
- python 2.6 or later (but not 3.x)
- perl 5.0 or later
- gnu make 3.81 or later
- curl
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Download and build Rust You can either download a tarball or build directly from the repo.
To build from the tarball do:
$ curl -O http://static.rust-lang.org/dist/rust-0.7.tar.gz $ tar -xzf rust-0.7.tar.gz $ cd rust-0.7Or to build from the repo do:
$ git clone https://github.com/mozilla/rust.git $ cd rustNow that you have Rust's source code, you can configure and build it:
$ ./configure $ make && make installYou may need to use
sudo make installif you do not normally have permission to modify the destination directory. The install locations can be adjusted by passing a--prefixargument toconfigure. Various other options are also supported, pass--helpfor more information on them.When complete,
make installwill place several programs into/usr/local/bin:rustc, the Rust compiler;rustdoc, the API-documentation tool, andrustpkg, the Rust package manager and build system. -
Read the tutorial.
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Enjoy!
Notes
Since the Rust compiler is written in Rust, it must be built by a precompiled "snapshot" version of itself (made in an earlier state of development). As such, source builds require a connection to the Internet, to fetch snapshots, and an OS that can execute the available snapshot binaries.
Snapshot binaries are currently built and tested on several platforms:
- Windows (7, Server 2008 R2), x86 only
- Linux (various distributions), x86 and x86-64
- OSX 10.6 ("Snow Leopard") or greater, x86 and x86-64
You may find that other platforms work, but these are our "tier 1" supported build environments that are most likely to work.
Rust currently needs about 1.8G of RAM to build without swapping; if it hits swap, it will take a very long time to build.
There is lots more documentation in the wiki.
License
Rust is primarily distributed under the terms of both the MIT license and the Apache License (Version 2.0), with portions covered by various BSD-like licenses.
See LICENSE-APACHE, LICENSE-MIT, and COPYRIGHT for details.