- Remove a level of indirection when accessing code units.
- Require a finalizer when constructing an external string.
Change-Id: I3f65246bf0ac50ffad900e2c338623a7684a9d3d
Reviewed-on: https://dart-review.googlesource.com/54300
Commit-Queue: Ryan Macnak <rmacnak@google.com>
Reviewed-by: Siva Annamalai <asiva@google.com>
Relanding 4be50d6fa1 with fixes to DBC
and location summaries: AssertAssignable must save FPU registers.
For now we are limiting this to type checks against type parameter types.
In Dart 1 mode Dart2JS compiles itself in 28s when running from source
and in 23s when running from ideal app-jit snapshot (trained on the
same workload).
Before this change in Dart 2 mode numbers were 51s and 57s respectively.
After this change in Dart 2 mode numbers are 38s and 32s. Meaning
that regression is reduced by 50%.
Issue https://github.com/dart-lang/sdk/issues/31798
Issue https://github.com/dart-lang/sdk/issues/33257
Change-Id: Ifb55f86453bfdf36a2e03bcd7f3197cfde257103
Reviewed-on: https://dart-review.googlesource.com/57980
Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
Reviewed-by: Régis Crelier <regis@google.com>
This reverts commit 4be50d6fa1.
Reason for revert: Failures on SIMDBC64 and Analyzer bots.
Original change's description:
> [vm] Enable type stubs based type checks in JIT mode for some types.
>
> For now we are limiting this to type checks against type parameter types.
>
> # Performance improvements
>
> In Dart 1 mode Dart2JS compiles itself in 28s when running from source
> and in 23s when running from ideal app-jit snapshot (trained on the
> same workload).
>
> Before this change in Dart 2 mode numbers were 51s and 57s respectively.
>
> After this change in Dart 2 mode numbers are 38s and 32s. Meaning
> that regression is reduced by 50%.
>
> Issue https://github.com/dart-lang/sdk/issues/31798
> Issue https://github.com/dart-lang/sdk/issues/33257
>
> Change-Id: I34bf5385a5cc3c7702dc281c6dfa89da85d3dde1
> Reviewed-on: https://dart-review.googlesource.com/57601
> Reviewed-by: Régis Crelier <regis@google.com>
> Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
TBR=vegorov@google.com,kustermann@google.com,regis@google.com
Change-Id: I85a30c962b0cd556310e19193f5993ab76ecf2e7
No-Presubmit: true
No-Tree-Checks: true
No-Try: true
Reviewed-on: https://dart-review.googlesource.com/57840
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
For now we are limiting this to type checks against type parameter types.
# Performance improvements
In Dart 1 mode Dart2JS compiles itself in 28s when running from source
and in 23s when running from ideal app-jit snapshot (trained on the
same workload).
Before this change in Dart 2 mode numbers were 51s and 57s respectively.
After this change in Dart 2 mode numbers are 38s and 32s. Meaning
that regression is reduced by 50%.
Issue https://github.com/dart-lang/sdk/issues/31798
Issue https://github.com/dart-lang/sdk/issues/33257
Change-Id: I34bf5385a5cc3c7702dc281c6dfa89da85d3dde1
Reviewed-on: https://dart-review.googlesource.com/57601
Reviewed-by: Régis Crelier <regis@google.com>
Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
If this array is not snapshotted then optimized code is not invalidated
when new subclasses are finalized leading to execution of incorrect code.
Change-Id: Ib28609a5e6499aedb1b2c19de40ab00fd5a786bc
Reviewed-on: https://dart-review.googlesource.com/55240
Reviewed-by: Martin Kustermann <kustermann@google.com>
Reviewed-by: Ryan Macnak <rmacnak@google.com>
Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
In some cases, bailouts in the bg compiler, e.g. caused by class
finalization, mark functions as unoptimizable, which can significantly
slow down an application.
Instead of doing this, we mark these functions as non-optimizable on the
BG compiler and trigger re-compilations on the main thread.
Change-Id: Ifbb6aa7972818be8fa1313427e38d8b5576053e3
Reviewed-on: https://dart-review.googlesource.com/54886
Commit-Queue: Martin Kustermann <kustermann@google.com>
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
Reviewed-by: Alexander Markov <alexmarkov@google.com>
This code is unused and has been bit-rotting for some time, so we'll
remove support for the kVector{Create,Copy,Get,Set}/kClosureCreation
kernel expressions.
Change-Id: Ie83d35b6d2cd533f3c08084631c5faf0c14ff122
Reviewed-on: https://dart-review.googlesource.com/53940
Commit-Queue: Martin Kustermann <kustermann@google.com>
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
In addition, this removes support for seeding the VM isolate snapshot with Instructions and referencing those Instructions in the isolate snapshot. This was leftover from an earlier experiment to share Instructions between a Core-JIT snapshot and App-JIT snapshots. Removing this reclaims the sign bit on Instruction offsets.
Add missing cases to TypeTestingStubFinder::StubNameFromAddresss.
Change-Id: Ie87216b4e284db1dc3eddb12f38ddbe8a841d312
Reviewed-on: https://dart-review.googlesource.com/50620
Commit-Queue: Ryan Macnak <rmacnak@google.com>
Reviewed-by: Alexander Markov <alexmarkov@google.com>
Original revision is in Patchset 1.
Run against failing kernel-precomp tests in "cl-linux-try".
Change-Id: I997de294150ef7dd0874eeccb8b6187ae64ea813
Reviewed-on: https://dart-review.googlesource.com/51220
Reviewed-by: Erik Corry <erikcorry@google.com>
Relands 165c583d57
[VM] Introduction of type testing stubs - Part 1
This CL:
* Adds a field to [RawAbstractType] which will always hold a pointer
to the entrypoint of a type testing stub
* Makes this new field be initialized to a default stub whenever a
instances are created (e.g. via Type::New(), snapshot reader, ...)
* Makes the clustered snapshotter write a reference to the
corresponding [RawInstructions] object when writing the field and do
the reverse when reading it.
* Makes us call the type testing stub for performing assert-assignable
checks.
To reduce unnecessary loads on callsites, we store the entrypoint of the
type testing stubs directly in the type objects. This means that the
caller of type testing stubs can simply branch there without populating
a code object first. This also means that the type testing stubs
themselves have no access to a pool and we therefore also don't hold on
to the [Code] object, only the [Instruction] object is necessary.
The type testing stubs do not setup a frame themselves and also have no
safepoint. In the case when the type testing stubs could not determine
a positive answer they will tail-call a general-purpose stub.
The general-purpose stub sets up a stub frame, tries to consult a
[SubtypeTestCache] and bails out to runtime if this was unsuccessful.
This CL is just the the first, for ease of reviewing. The actual
type-specialized type testing stubs will be generated in later CLs.
Reviewed-on: https://dart-review.googlesource.com/44787
Relands f226c22424
[VM] Introduction of type testing stubs - Part 2
This CL starts building type testing stubs specialzed for [Type] objects
we test against.
More specifically, it adds support for:
* Handling obvious fast cases on the call sites (while still having a
call to stub for negative case)
* Handling type tests against type parameters, by loading the value
of the type parameter on the call sites and invoking it's type testing stub.
* Specialzed type testing stubs for instantiated types where we can
do [CidRange]-based subtype-checks.
==> e.g. String/List<dynamic>
* Specialzed type testing stubs for instantiated types where we can
do [CidRange]-based subclass-checks for the class and
[CidRange]-based subtype-checks for the type arguments.
==> e.g. Widget<State>, where we know [Widget] is only extended and not
implemented.
* Specialzed type testing stubs for certain non-instantiated types where we
can do [CidRange]-based subclass-checks for the class and
[CidRange]-based subtype-checks for the instantiated type arguments and
cid based comparisons for type parameters. (Note that this fast-case migth
result in some false-negatives!)
==> e.g. _HashMapEntry<K, V>, where we know [_HashMapEntry] is only
extended and not implemented.
This optimizes cases where the caller uses `new HashMap<A, B>()` and only
uses `A` and `B` as key/values (and not subclasses of it). The false-negative
can occur when subtypes of A or B are used. In such cases we fall back to the
[SubtypeTestCache]-based imlementation.
Reviewed-on: https://dart-review.googlesource.com/44788
Relands 25f98bcc75
[VM] Introduction of type testing stubs - Part 3
The changes include:
* Make AssertAssignableInstr no longer have a call-summary, which
helps methods with several parameter checks by not having to
re-load/re-initialize type arguments registers
* Lazily create SubtypeTestCaches: We already go to runtime to warm up
the caches, so we now also create the caches on the first runtime
call and patch the pool entries.
* No longer load the destination name into a register: We only need
the name when we throw an exception, so it is not on the hot path.
Instead we let the runtime look at the call site, decoding a pool
index from the instructions stream. The destination name will be
available in the pool, at a consecutive index to the subtype cache.
* Remove the fall-through to N=1 case for probing subtypeing tests,
since those will always be handled by the optimized stubs.
* Do not generate optimized stubs for FutureOr<T> (so far it just
falled-through to TTS). We can make optimzed version of that later,
but it requires special subtyping rules.
* Local code quality improvement in the type-testing-stubs: Avoid
extra jump at last case of cid-class-range checks.
There are still a number of optimization opportunities we can do in
future changes.
Reviewed-on: https://dart-review.googlesource.com/46984
Relands 2c52480ec8
[VM] Introduction of type testing stubs - Part 4
In order to avoid generating type testing stubs for too many types in
the system - and thereby potentially cause an increase in code size -
this change introduces a smarter way to decide for which types we should
generate optimized type testing stubs.
The precompiler creates a [TypeUsageInfo] which we use to collect
information. More specifically:
a) We collect the destination types for all type checks we emit
(we do this inside AssertAssignableInstr::EmitNativeCode).
-> These are types we might want to generate optimized type testing
stubs for.
b) We collect type argument vectors used in instance creations (we do
this inside AllocateObjectInstr::EmitNativeCode) and keep a set of
of used type argument vectors for each class.
After the precompiler has finished compiling normal code we scan the set
of destination types collected in a) for uninstantiated types (or more
specifically, type parameter types).
We then propagate the type argument vectors used on object allocation sites,
which were collected in b), in order to find out what kind of types are flowing
into those type parameters.
This allows us to extend the set of types which we test against, by
adding the types that flow into type parameters.
We use this final augmented set of destination types as a "filter" when
making the decision whether to generate an optimized type testing stub
for a given type.
Reviewed-on: https://dart-review.googlesource.com/48640
Issue https://github.com/dart-lang/sdk/issues/32603
Closes https://github.com/dart-lang/sdk/issues/32852
Change-Id: Ib79fbe7f043aa88f32bddad62d7656c638914b44
Reviewed-on: https://dart-review.googlesource.com/50944
Commit-Queue: Martin Kustermann <kustermann@google.com>
Reviewed-by: Régis Crelier <regis@google.com>
We add two things:
* --print_instruction_stats makes compiler dump per IL instruction size
breakdown (how many bytes of code were produced from specific instruction
kinds). This was largely implemented by kustermann@ in
https://codereview.chromium.org/2584613002/ and this CL does only few changes
to the original implementation, namely more uniform handling of slow-path code
and puts statistics object into RawInstructions (which has free space due to
alignment) instead of RawCode.
* --print_instructions_sizes_to=symbols.json makes compiler dump per Instruction
object size breakdown into a JSON file. This JSON file can later be processed
with pkg/vm/tool/run_binary_size_analysis.dart script to produce interactive
binary size diagram similar to runtime/third_party/binary_size tool.
Change-Id: Ied4965b9a0a91b3025eefbe981ecd47cdcf782d6
Reviewed-on: https://dart-review.googlesource.com/50501
Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
Reviewed-by: Alexander Markov <alexmarkov@google.com>
Reviewed-by: Martin Kustermann <kustermann@google.com>
Relands 165c583d57
[VM] Introduction of type testing stubs - Part 1
This CL:
* Adds a field to [RawAbstractType] which will always hold a pointer
to the entrypoint of a type testing stub
* Makes this new field be initialized to a default stub whenever a
instances are created (e.g. via Type::New(), snapshot reader, ...)
* Makes the clustered snapshotter write a reference to the
corresponding [RawInstructions] object when writing the field and do
the reverse when reading it.
* Makes us call the type testing stub for performing assert-assignable
checks.
To reduce unnecessary loads on callsites, we store the entrypoint of the
type testing stubs directly in the type objects. This means that the
caller of type testing stubs can simply branch there without populating
a code object first. This also means that the type testing stubs
themselves have no access to a pool and we therefore also don't hold on
to the [Code] object, only the [Instruction] object is necessary.
The type testing stubs do not setup a frame themselves and also have no
safepoint. In the case when the type testing stubs could not determine
a positive answer they will tail-call a general-purpose stub.
The general-purpose stub sets up a stub frame, tries to consult a
[SubtypeTestCache] and bails out to runtime if this was unsuccessful.
This CL is just the the first, for ease of reviewing. The actual
type-specialized type testing stubs will be generated in later CLs.
Reviewed-on: https://dart-review.googlesource.com/44787
Relands f226c22424
[VM] Introduction of type testing stubs - Part 2
This CL starts building type testing stubs specialzed for [Type] objects
we test against.
More specifically, it adds support for:
* Handling obvious fast cases on the call sites (while still having a
call to stub for negative case)
* Handling type tests against type parameters, by loading the value
of the type parameter on the call sites and invoking it's type testing stub.
* Specialzed type testing stubs for instantiated types where we can
do [CidRange]-based subtype-checks.
==> e.g. String/List<dynamic>
* Specialzed type testing stubs for instantiated types where we can
do [CidRange]-based subclass-checks for the class and
[CidRange]-based subtype-checks for the type arguments.
==> e.g. Widget<State>, where we know [Widget] is only extended and not
implemented.
* Specialzed type testing stubs for certain non-instantiated types where we
can do [CidRange]-based subclass-checks for the class and
[CidRange]-based subtype-checks for the instantiated type arguments and
cid based comparisons for type parameters. (Note that this fast-case migth
result in some false-negatives!)
==> e.g. _HashMapEntry<K, V>, where we know [_HashMapEntry] is only
extended and not implemented.
This optimizes cases where the caller uses `new HashMap<A, B>()` and only
uses `A` and `B` as key/values (and not subclasses of it). The false-negative
can occur when subtypes of A or B are used. In such cases we fall back to the
[SubtypeTestCache]-based imlementation.
Reviewed-on: https://dart-review.googlesource.com/44788
Relands 25f98bcc75
[VM] Introduction of type testing stubs - Part 3
The changes include:
* Make AssertAssignableInstr no longer have a call-summary, which
helps methods with several parameter checks by not having to
re-load/re-initialize type arguments registers
* Lazily create SubtypeTestCaches: We already go to runtime to warm up
the caches, so we now also create the caches on the first runtime
call and patch the pool entries.
* No longer load the destination name into a register: We only need
the name when we throw an exception, so it is not on the hot path.
Instead we let the runtime look at the call site, decoding a pool
index from the instructions stream. The destination name will be
available in the pool, at a consecutive index to the subtype cache.
* Remove the fall-through to N=1 case for probing subtypeing tests,
since those will always be handled by the optimized stubs.
* Do not generate optimized stubs for FutureOr<T> (so far it just
falled-through to TTS). We can make optimzed version of that later,
but it requires special subtyping rules.
* Local code quality improvement in the type-testing-stubs: Avoid
extra jump at last case of cid-class-range checks.
There are still a number of optimization opportunities we can do in
future changes.
Reviewed-on: https://dart-review.googlesource.com/46984
Relands 2c52480ec8
[VM] Introduction of type testing stubs - Part 4
In order to avoid generating type testing stubs for too many types in
the system - and thereby potentially cause an increase in code size -
this change introduces a smarter way to decide for which types we should
generate optimized type testing stubs.
The precompiler creates a [TypeUsageInfo] which we use to collect
information. More specifically:
a) We collect the destination types for all type checks we emit
(we do this inside AssertAssignableInstr::EmitNativeCode).
-> These are types we might want to generate optimized type testing
stubs for.
b) We collect type argument vectors used in instance creations (we do
this inside AllocateObjectInstr::EmitNativeCode) and keep a set of
of used type argument vectors for each class.
After the precompiler has finished compiling normal code we scan the set
of destination types collected in a) for uninstantiated types (or more
specifically, type parameter types).
We then propagate the type argument vectors used on object allocation sites,
which were collected in b), in order to find out what kind of types are flowing
into those type parameters.
This allows us to extend the set of types which we test against, by
adding the types that flow into type parameters.
We use this final augmented set of destination types as a "filter" when
making the decision whether to generate an optimized type testing stub
for a given type.
Reviewed-on: https://dart-review.googlesource.com/48640
Issue https://github.com/dart-lang/sdk/issues/32603
Change-Id: I6d33d4ca3d5187a1eb1664078c003061855f0160
Reviewed-on: https://dart-review.googlesource.com/50482
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
Commit-Queue: Martin Kustermann <kustermann@google.com>
Relands 165c583d57
[VM] Introduction of type testing stubs - Part 1
This CL:
* Adds a field to [RawAbstractType] which will always hold a pointer
to the entrypoint of a type testing stub
* Makes this new field be initialized to a default stub whenever a
instances are created (e.g. via Type::New(), snapshot reader, ...)
* Makes the clustered snapshotter write a reference to the
corresponding [RawInstructions] object when writing the field and do
the reverse when reading it.
* Makes us call the type testing stub for performing assert-assignable
checks.
To reduce unnecessary loads on callsites, we store the entrypoint of the
type testing stubs directly in the type objects. This means that the
caller of type testing stubs can simply branch there without populating
a code object first. This also means that the type testing stubs
themselves have no access to a pool and we therefore also don't hold on
to the [Code] object, only the [Instruction] object is necessary.
The type testing stubs do not setup a frame themselves and also have no
safepoint. In the case when the type testing stubs could not determine
a positive answer they will tail-call a general-purpose stub.
The general-purpose stub sets up a stub frame, tries to consult a
[SubtypeTestCache] and bails out to runtime if this was unsuccessful.
This CL is just the the first, for ease of reviewing. The actual
type-specialized type testing stubs will be generated in later CLs.
Reviewed-on: https://dart-review.googlesource.com/44787
Relands f226c22424
[VM] Introduction of type testing stubs - Part 2
This CL starts building type testing stubs specialzed for [Type] objects
we test against.
More specifically, it adds support for:
* Handling obvious fast cases on the call sites (while still having a
call to stub for negative case)
* Handling type tests against type parameters, by loading the value
of the type parameter on the call sites and invoking it's type testing stub.
* Specialzed type testing stubs for instantiated types where we can
do [CidRange]-based subtype-checks.
==> e.g. String/List<dynamic>
* Specialzed type testing stubs for instantiated types where we can
do [CidRange]-based subclass-checks for the class and
[CidRange]-based subtype-checks for the type arguments.
==> e.g. Widget<State>, where we know [Widget] is only extended and not
implemented.
* Specialzed type testing stubs for certain non-instantiated types where we
can do [CidRange]-based subclass-checks for the class and
[CidRange]-based subtype-checks for the instantiated type arguments and
cid based comparisons for type parameters. (Note that this fast-case migth
result in some false-negatives!)
==> e.g. _HashMapEntry<K, V>, where we know [_HashMapEntry] is only
extended and not implemented.
This optimizes cases where the caller uses `new HashMap<A, B>()` and only
uses `A` and `B` as key/values (and not subclasses of it). The false-negative
can occur when subtypes of A or B are used. In such cases we fall back to the
[SubtypeTestCache]-based imlementation.
Reviewed-on: https://dart-review.googlesource.com/44788
Relands 25f98bcc75
[VM] Introduction of type testing stubs - Part 3
The changes include:
* Make AssertAssignableInstr no longer have a call-summary, which
helps methods with several parameter checks by not having to
re-load/re-initialize type arguments registers
* Lazily create SubtypeTestCaches: We already go to runtime to warm up
the caches, so we now also create the caches on the first runtime
call and patch the pool entries.
* No longer load the destination name into a register: We only need
the name when we throw an exception, so it is not on the hot path.
Instead we let the runtime look at the call site, decoding a pool
index from the instructions stream. The destination name will be
available in the pool, at a consecutive index to the subtype cache.
* Remove the fall-through to N=1 case for probing subtypeing tests,
since those will always be handled by the optimized stubs.
* Do not generate optimized stubs for FutureOr<T> (so far it just
falled-through to TTS). We can make optimzed version of that later,
but it requires special subtyping rules.
* Local code quality improvement in the type-testing-stubs: Avoid
extra jump at last case of cid-class-range checks.
There are still a number of optimization opportunities we can do in
future changes.
Reviewed-on: https://dart-review.googlesource.com/46984
Relands 2c52480ec8
[VM] Introduction of type testing stubs - Part 4
In order to avoid generating type testing stubs for too many types in
the system - and thereby potentially cause an increase in code size -
this change introduces a smarter way to decide for which types we should
generate optimized type testing stubs.
The precompiler creates a [TypeUsageInfo] which we use to collect
information. More specifically:
a) We collect the destination types for all type checks we emit
(we do this inside AssertAssignableInstr::EmitNativeCode).
-> These are types we might want to generate optimized type testing
stubs for.
b) We collect type argument vectors used in instance creations (we do
this inside AllocateObjectInstr::EmitNativeCode) and keep a set of
of used type argument vectors for each class.
After the precompiler has finished compiling normal code we scan the set
of destination types collected in a) for uninstantiated types (or more
specifically, type parameter types).
We then propagate the type argument vectors used on object allocation sites,
which were collected in b), in order to find out what kind of types are flowing
into those type parameters.
This allows us to extend the set of types which we test against, by
adding the types that flow into type parameters.
We use this final augmented set of destination types as a "filter" when
making the decision whether to generate an optimized type testing stub
for a given type.
Reviewed-on: https://dart-review.googlesource.com/48640
Issue https://github.com/dart-lang/sdk/issues/32603
Change-Id: I44a1d5d4b27454ae026aef2a301aada3dd399ea0
Reviewed-on: https://dart-review.googlesource.com/49861
Commit-Queue: Martin Kustermann <kustermann@google.com>
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
This CL:
* Adds a field to [RawAbstractType] which will always hold a pointer
to the entrypoint of a type testing stub
* Makes this new field be initialized to a default stub whenever a
instances are created (e.g. via Type::New(), snapshot reader, ...)
* Makes the clustered snapshotter write a reference to the
corresponding [RawInstructions] object when writing the field and do
the reverse when reading it.
* Makes us call the type testing stub for performing assert-assignable
checks.
To reduce unnecessary loads on callsites, we store the entrypoint of the
type testing stubs directly in the type objects. This means that the
caller of type testing stubs can simply branch there without populating
a code object first. This also means that the type testing stubs
themselves have no access to a pool and we therefore also don't hold on
to the [Code] object, only the [Instruction] object is necessary.
The type testing stubs do not setup a frame themselves and also have no
safepoint. In the case when the type testing stubs could not determine
a positive answer they will tail-call a general-purpose stub.
The general-purpose stub sets up a stub frame, tries to consult a
[SubtypeTestCache] and bails out to runtime if this was unsuccessful.
This CL is just the the first, for ease of reviewing. The actual
type-specialized type testing stubs will be generated in later CLs.
Issue https://github.com/dart-lang/sdk/issues/31798
Change-Id: I174a11b3b812799f399a60af799144c2ba3c26ec
Reviewed-on: https://dart-review.googlesource.com/44787
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
Reviewed-by: Régis Crelier <regis@google.com>
The info_array is needed to visit an ObjectPool's pointers, requiring the compactor to move the info_array's body before forwarding the ObjectPool's pointers. Moving the info_array inline remove this constraint on the compactor.
Also saves 3 words per ObjectPool modulo allocation size rounding.
Bug: https://github.com/dart-lang/sdk/issues/30978
Change-Id: I94de0e4b7356d46fb145efee7ab14abd7473eb4c
Reviewed-on: https://dart-review.googlesource.com/27480
Reviewed-by: Erik Corry <erikcorry@google.com>
The introduced "constants" transformation can evaluate constant expressions. The
original use-sites of constant expressions are replaced by a new [ConstantExpression]
node, which points to a subclass of a new [Constant] class hierarchy. Constant
[Field]s and [VariableDeclarations]s will be removed, since all use-sites are
re-written.
The [Constant] class hierarchy is, similarly to the [DartType] class hierarchy, not
part of the AST tree (also has no parent pointer). The constants form a
DAG (directed acyclic graph).
There is no canonicalization requirement of the [Constant] objects referenced by the
AST (via [ConstantExpression]). Although it is beneficial to canonicalize them during
construction, since it reduces time spent in operator==/hashCode.
This CL furthermore adds support for a constant table in the binary format. Similarly
to [String]s, we canonicalize the constants before writing the table to the binary.
The constant table entries in the binary are written in a post-order way, to ensure
easy construction on the backend side.
The text format will be augmented with a "constants { ... }" section at the end,
which lists the constants in the same order as in the binary format.
The transformation can be used by those backends who choose to do so. It is not
enabled by default atm. It should therefore not affect analyzer, fasta or other
components.
Change-Id: I57cd9624fedcf537ab6870db76246149647bed21
Reviewed-on: https://dart-review.googlesource.com/14382
Commit-Queue: Martin Kustermann <kustermann@google.com>
Reviewed-by: Kevin Millikin <kmillikin@google.com>
It was previously an array of Smi values. By converting to TypedData
array of int32_t values, we shave off 70+KB from the kernel based core
snapshots. While 70KB might not seem too high, it is 5% of the excess
size we have wrt to the token stream based core snapshots.
Change-Id: I5b58a1d1ac27391eca1efff179301bb04162e97b
Reviewed-on: https://dart-review.googlesource.com/19800
Commit-Queue: Siva Chandra <sivachandra@google.com>
Reviewed-by: Siva Annamalai <asiva@google.com>
Coverage uses the value of an execution counter to detect executed functions. However non-positive execution counter does not necessary mean that a function was never executed because we sometimes reset the counter.
Introduce additional bit on a function that is set whenever we reset positive execution counter and use this bit when generating coverage data.
Bug: https://github.com/dart-lang/sdk/issues/31326
Change-Id: I5357109603defad7e7c9415c433203f16bcf88f4
Reviewed-on: https://dart-review.googlesource.com/19760
Commit-Queue: Ryan Macnak <rmacnak@google.com>
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
With the current block size, this reduces space for forwarding information from two words per moved object to two words per (kObjectAlignment * kBitsPerWord) bytes of heap (1.6% on 64-bit, 3.1% on 32-bit).
dart2js compiling dart2js:
Compactor/Sweeper Runtime Max RSS
Sliding (binary search table) 105 s 1.085 GB
Sliding (bitvector) 57.8 s 998.566 MB
Evacuating 66.2 s 1.714 GB
Concurrent sweep 53.8 s 1.183 GB
Blocking sweep 55.0 s 1.181 GB
Bug: https://github.com/dart-lang/sdk/issues/30978
Change-Id: Ia6eec4f0162c3959154c5155df24cc06694ecac7
Reviewed-on: https://dart-review.googlesource.com/17721
Reviewed-by: Erik Corry <erikcorry@google.com>
This change brings down core snapshot size by ~750KB, and brings
down app-jit snapshot size of simple "Hello, World" dart script by
~650KB. The bot cycle times will also come down by around ~20%.
Change-Id: I2a01c98bedc7ebfa2a653983995486a71504daf3
Reviewed-on: https://dart-review.googlesource.com/16323
Commit-Queue: Siva Chandra <sivachandra@google.com>
Reviewed-by: Siva Annamalai <asiva@google.com>
Reviewed-by: Jens Johansen <jensj@google.com>
Improves the space overhead of compaction from O(size of live objects) to O(number of live objects).
Future work includes:
- a smaller, faster representation the forwarding table via a bitmap of used allocation units
- sorting class sizes off-heap to allow sliding classes
- running forwarding in parallel
Removes unnecessary sweep from evacuating compactor.
Change-Id: If0991bfb75573201c6e8feed142ca0cc69fccab4
Bug: https://github.com/dart-lang/sdk/issues/30978
Reviewed-on: https://dart-review.googlesource.com/15988
Commit-Queue: Ryan Macnak <rmacnak@google.com>
Reviewed-by: Erik Corry <erikcorry@google.com>
This new object points to program wide data like string offsets,
string data etc. It also holds an array of pointers to all Script
objects corresponding scripts in the program's source table.
This new object type is required for two reasons:
1. The Script objects now have a number of fields which point to
program wide data. All Script objects point to the same data in the
VM heap. By introducing an indirection via this new object, we reduce
the number of pointers in Script objects.
2. Lazy loading of VM objects - Kernel nodes of
entities like fields and functions have a field which point to the
source file in which they are defined. This entry is an index into
the program wide source table and helps in associating
functions/fields with their actual source location. When lazy loading
functions and fields, the pre-loaded script objects in the
program's KernelProgramInfo help in associating the functions and
fields with the correct source script at load time.
Change-Id: Id863284ae7dd98b0832e5dfc115dabad1ed762d8
Reviewed-on: https://dart-review.googlesource.com/13920
Commit-Queue: Siva Chandra <sivachandra@google.com>
Reviewed-by: Siva Annamalai <asiva@google.com>
Devirtualization optimization now adds metadata to kernel AST instead
of transforming nodes to Direct* ones. The direct call metadata
provides information about checking receiver for null, while
Direct* kernel nodes do not support null checking.
VM's kernel binary loader is extended to extract arbitrary metadata
from kernel binaries and keep it for flow graph builder.
Kernel flow graph builder is extended to take direct call metadata
into account and generate CheckNull/StaticCall instructions
for devirtualized PropertyGet, PropertySet and MethodInvocation nodes.
Issue: https://github.com/dart-lang/sdk/issues/30480
Change-Id: I57f56fbf4a8981d33b1571c0d93105cf8ca71d76
Reviewed-on: https://dart-review.googlesource.com/12260
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
Before this change, each function and field had its own kernel data blob
in the VM heap. With this change, the entire kernel data of a library is
stored as one single blob in the VM heap. Functions and fields store an
offset which points to the kernel data, specific to them, in that single
blob.
The pointer to the kernel data for a library is saved in two places:
1. With the library objects themselves.
2. With all the patch classes of the library.
3. With the patch classes created during hot reload.
Change-Id: Ie03e738c4d20f16056a5ef04341b75506fda9c60
Bug:
Reviewed-on: https://dart-review.googlesource.com/6601
Commit-Queue: Siva Chandra <sivachandra@google.com>
Reviewed-by: Jens Johansen <jensj@google.com>
- Weaken assert for identity reloads to account for lazy finalization.
- Store actual field end positions instead of computing from a terminating semicolon.
- Consider unfinalized classes to be unchanged if they have same sequence of tokens.
Change-Id: I3fcd7fed924bfac47dc382702ce63207bb8aa031
Reviewed-on: https://dart-review.googlesource.com/8164
Reviewed-by: Siva Annamalai <asiva@google.com>
Commit-Queue: Ryan Macnak <rmacnak@google.com>
When deciding whether to inline a function that has already been optimized
once, take a look at how many levels of inlining took place when it was
optimized stand-alone. If we don't have that much depth budget left, don't
inline. This is an attempt to avoid the situation where we inline a function
that was already optimized, and then fail to inline important things that are
in the inner loop.
The benchmarking server shows about a 3% improvement on average when running
the DartJS compiler.
This is a reland of https://codereview.chromium.org/2994283002/
Bug
R=vegorov@google.com
Change-Id: Ib2d1f0daad5d68d140bf0266c362dded7a4ea36b
Reviewed-on: https://dart-review.googlesource.com/7706
Commit-Queue: Erik Corry <erikcorry@google.com>
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
When deciding whether to inline a function that has already been optimized
once, take a look at how many levels of inlining took place when it was
optimized stand-alone. If we don't have that much depth budget left, don't
inline. This is an attempt to avoid the situation where we inline a function
that was already optimized, and then fail to inline important things that are
in the inner loop.
The benchmarking server shows about a 3% improvement on average when running
the DartJS compiler
This was reviewed and LGTMed at https://codereview.chromium.org/2994283002
Bug:
Change-Id: Ia731c89f32ac4eacd643965a36dcee35f610c141
Reviewed-on: https://dart-review.googlesource.com/7544
Reviewed-by: Vyacheslav Egorov <vegorov@google.com>
Commit-Queue: Vyacheslav Egorov <vegorov@google.com>
Ryan Macnak