Files
sdk/pkg/kernel
Alexander Markov 61f0f5bc43 [vm/bytecode] Declare members in bytecode
This change replaces kernel AST declarations of fields and functions
with bytecode declarations.

Size of dilp files is reduced by 11-12%.

Startup latency:
Time to the first full frame: 1.945s -> 1.687s
FinalizeClass: 554ms -> 277ms
FinishClassLoading: 296ms -> 156ms

There are following regressions in bytecode mode, which will be fixed
in future:

* dart:mirrors are not supported yet (implementation of mirrors relies
  on reading kernel AST in certain cases).

  As the result, lib_2/mirrors/* tests fail.

* native extensions are not supported yet (annotations on libraries
  and classes in AST are cleaned up as they could reference members
  which are now removed from AST).

  As the result, standalone_2/entrypoints_verification_test test fails.

* language_2/spread_collections/const_error_test/* tests fail
  due to https://github.com/dart-lang/sdk/issues/36286.

Change-Id: I5130f401fd7b84038b136136e7ccc1a6e51b6cea
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/97561
Commit-Queue: Alexander Markov <alexmarkov@google.com>
Reviewed-by: Ryan Macnak <rmacnak@google.com>
2019-03-26 21:40:10 +00:00
..
2019-02-25 12:17:54 +00:00
2019-03-20 08:44:33 +00:00

Dart Kernel

Dart Kernel is a small high-level language derived from Dart. It is designed for use as an intermediate format for whole-program analysis and transformations, and to be consumed by codegen and execution backends.

The kernel language has an in-memory representation in Dart and can be serialized as binary or text.

Both the kernel language and its implementations are unstable and are under development.

This package contains the Dart part of the implementation and contains:

  • A transformable IR for the kernel language
  • Serialization of kernel code

Note: The APIs in this package are in an early state; developers should be careful about depending on this package. In particular, there is no semver contract for release versions of this package. Please depend directly on individual versions.

See ast.dart for the in-memory IR, or binary.md for a description of the binary format. For now, the textual format is very ad-hoc and cannot be parsed back in.