Files
carbon-lang/toolchain/docs
Chandler CarruthandJon Ross-Perkins 13502b7c89 Replace #4505 with a different set of workarounds (#4527)
This restores the symlinks for the installation, but teaches the busybox
info search to look for a relative path to the busybox binary itself
before walking through symlinks. This let's it find the tree structure
when directly invoking `prefix_root/bin/carbon` or similar, either
inside of a Bazel rule or from the command line, and mirrors how we
expect the installed tree to look. This works even when Bazel resolves
the symlink target fully, and potentially to something nonsensical like
a CAS file.

In order to make a convenient Bazel target that can be used with `bazel
run //toolchain`, this adds an override to explicitly set the desired
argv[0] to use when selecting a mode for the busybox and a busybox
binary. Currently, the workaround uses an environment variable because
that required the least amount of plumbing, and seems a useful override
mechanism generally, but I'm open to other approaches.

This should allow a few things to work a bit more nicely:
- It should handle sibling symlinks like `clang++` to `clang` or
  `ld.lld` to `lld`, where that symlink in turn points at the busybox.
  We want to use *initial* `argv[0]` value to select the mode there.
- It avoids bouncing through Python (or other subprocesses) when
  invoking the `carbon` binary in Bazel rules, which will be nice for
  building the example code and benchmarking.

It does come at a cost of removing one feature: the initial symlink
can't be some unrelated alias like `my_carbon_symlink` -- we expect the
*first* argv[0] name to have the meaningful filename for selecting
a busybox mode.

It also trades the complexity of the Python script for some complexity
in the busybox search in order to look for a relative `carbon-busybox`
binary. On the whole, I think that tradeoff is worthwhile, but it isn't
free.

---------

Co-authored-by: Jon Ross-Perkins <jperkins@google.com>
2024-12-20 00:33:29 +00:00
..

Toolchain architecture

Table of contents

Goals

The toolchain represents the production portion of Carbon. At a high level, the toolchain's top priorities are:

  • Correctness.
  • Quality of generated code, including performance.
  • Compilation performance.
  • Quality of diagnostics for incorrect or questionable code.

TODO: Add an expanded document that details the goals and priorities and link to it here.

High-level architecture

The main components are:

Design patterns

A few common design patterns are:

  • Distinct steps: Each step of processing produces an output structure, avoiding callbacks passing data between structures.

    • For example, the parser takes a Lex::TokenizedBuffer as input and produces a Parse::Tree as output.

    • Performance: It should yield better locality versus a callback approach.

    • Understandability: Each step has a clear input and output, versus callbacks which obscure the flow of data.

  • Vectorized storage: Data is stored in vectors and flyweights are passed around, avoiding more typical heap allocation with pointers.

    • For example, the parse tree is stored as a llvm::SmallVector<Parse::Tree::NodeImpl> indexed by Parse::Node which wraps an int32_t.

    • Performance: Vectorization both minimizes memory allocation overhead and enables better read caching because adjacent entries will be cached together.

  • Iterative processing: We rely on state stacks and iterative loops for parsing, avoiding recursive function calls.

    • For example, the parser has a Parse::State enum tracked in state_stack_, and loops in Parse::Tree::Parse.

    • Scalability: Complex code must not cause recursion issues. We have experience in Clang seeing stack frame recursion limits being hit in unexpected ways, and non-recursive approaches largely avoid that risk.

See also Idioms for abbreviations and more implementation techniques.

Adding features

We have a walkthrough for adding features.