[vm/aot/tfa] Use RTA to improve AOT compilation speed

This change introduces Rapid Type Analysis (RTA) and uses it to
calculate initial set of allocated classes for Type Flow Analysis (TFA).
As a result, TFA converges much faster and AOT compilation time
improves.

RTA is less precise than TFA, so the set of allocated classes is
larger compared to the one calculated by TFA. However, it has only
marginal effect on the size of resulting AOT snapshots.

Time of AOT compilation step 2 on a large Flutter application
118.652s -> 59.907s (-49.5% / improved by a factor of 1.98x)
Snapshot size on armv8: -0.13%

Flutter gallery snapshot size in release and release-sizeopt modes
armv7 +0.19%, armv8 +0.2%

Just in case, RTA can be disabled using --no-rta option.

TEST=ci
Issue: https://github.com/dart-lang/sdk/issues/42442
Issue: b/154155290

Change-Id: Iffbdabe7d486cad2e138f7592bffcb70474ddc34
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/222500
Reviewed-by: Ryan Macnak <rmacnak@google.com>
Reviewed-by: Martin Kustermann <kustermann@google.com>
Commit-Queue: Alexander Markov <alexmarkov@google.com>
Reviewed-by: Slava Egorov <vegorov@google.com>
9 files changed
tree: 0822f7561d76de2823507442a76e48ec8c2fb514
  1. .dart_tool/
  2. .github/
  3. benchmarks/
  4. build/
  5. client/
  6. docs/
  7. pkg/
  8. runtime/
  9. samples/
  10. samples-dev/
  11. samples_2/
  12. sdk/
  13. tests/
  14. third_party/
  15. tools/
  16. utils/
  17. .clang-format
  18. .gitattributes
  19. .gitconfig
  20. .gitignore
  21. .gn
  22. .mailmap
  23. .packages
  24. .style.yapf
  25. .vpython
  26. AUTHORS
  27. BUILD.gn
  28. CHANGELOG.md
  29. codereview.settings
  30. CONTRIBUTING.md
  31. DEPS
  32. LICENSE
  33. PATENT_GRANT
  34. PRESUBMIT.py
  35. README.dart-sdk
  36. README.md
  37. sdk_args.gni
  38. SECURITY.md
  39. WATCHLISTS
README.md

Dart

A client-optimized language for fast apps on any platform

Dart is:

  • Optimized for UI: Develop with a programming language specialized around the needs of user interface creation.

  • Productive: Make changes iteratively: use hot reload to see the result instantly in your running app.

  • Fast on all platforms: Compile to ARM & x64 machine code for mobile, desktop, and backend. Or compile to JavaScript for the web.

Dart's flexible compiler technology lets you run Dart code in different ways, depending on your target platform and goals:

  • Dart Native: For programs targeting devices (mobile, desktop, server, and more), Dart Native includes both a Dart VM with JIT (just-in-time) compilation and an AOT (ahead-of-time) compiler for producing machine code.

  • Dart Web: For programs targeting the web, Dart Web includes both a development time compiler (dartdevc) and a production time compiler (dart2js).

Dart platforms illustration

License & patents

Dart is free and open source.

See LICENSE and PATENT_GRANT.

Using Dart

Visit dart.dev to learn more about the language, tools, and to find codelabs.

Browse pub.dev for more packages and libraries contributed by the community and the Dart team.

Our API reference documentation is published at api.dart.dev, based on the stable release. (We also publish docs from our beta and dev channels, as well as from the primary development branch).

Building Dart

If you want to build Dart yourself, here is a guide to getting the source, preparing your machine to build the SDK, and building.

There are more documents on our wiki.

Contributing to Dart

The easiest way to contribute to Dart is to file issues.

You can also contribute patches, as described in Contributing.