cppgc: Update Oilpan README with design details
New text is moved over from BlinkGCDesign.md Bug: chromium:1283934 Change-Id: I10a84c91a642e96c494d6e523d6d89059afaa1ca Reviewed-on: https://chromium-review.googlesource.com/c/v8/v8/+/3366658 Reviewed-by: Michael Lippautz <mlippautz@chromium.org> Commit-Queue: Omer Katz <omerkatz@chromium.org> Cr-Commit-Position: refs/heads/main@{#78498}
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# Oilpan: C++ Garbage Collection
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Oilpan is an open-source garbage collection library for C++ that can be used stand-alone or in collaboration with V8's JavaScript garbage collector.
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Oilpan implements mark-and-sweep garbage collection (GC) with limited compaction (for a subset of objects).
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**Key properties**
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- Trace-based garbage collection;
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- Incremental and concurrent marking;
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- Incremental and concurrent sweeping;
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- Precise on-heap memory layout;
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- Conservative on-stack memory layout;
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- Allows for collection with and without considering stack;
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- Incremental and concurrent marking;
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- Incremental and concurrent sweeping;
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- Non-incremental and non-concurrent compaction for selected spaces;
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See the [Hello World](https://chromium.googlesource.com/v8/v8/+/main/samples/cppgc/hello-world.cc) example on how to get started using Oilpan to manage C++ code.
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Oilpan follows V8's project organization, see e.g. on how we accept [contributions](https://v8.dev/docs/contribute) and [provide a stable API](https://v8.dev/docs/api).
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## Threading model
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Oilpan features thread-local garbage collection and assumes heaps are not shared among threads.
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In other words, objects are accessed and ultimately reclaimed by the garbage collector on the same thread that allocates them.
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This allows Oilpan to run garbage collection in parallel with mutators running in other threads.
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References to objects belonging to another thread's heap are modeled using cross-thread roots.
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This is even true for on-heap to on-heap references.
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## Heap partitioning
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Oilpan's heaps are partitioned into spaces.
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The space for an object is chosen depending on a number of criteria, e.g.:
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- Objects over 64KiB are allocated in a large object space
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- Objects can be assigned to a dedicated custom space.
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Custom spaces can also be marked as compactable.
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- Other objects are allocated in one of the normal page spaces bucketed depending on their size.
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## Precise and conservative garbage collection
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Oilpan supports two kinds of GCs:
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1. **Conservative GC.**
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A GC is called conservative when it is executed while the regular native stack is not empty.
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In this case, the native stack might contain references to objects in Oilpan's heap, which should be kept alive.
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The GC scans the native stack and treats the pointers discovered via the native stack as part of the root set.
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This kind of GC is considered imprecise because values on stack other than references may accidentally appear as references to on-heap object, which means these objects will be kept alive despite being in practice unreachable from the application as an actual reference.
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2. **Precise GC.**
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A precise GC is triggered at the end of an event loop, which is controlled by an embedder via a platform.
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At this point, it is guaranteed that there are no on-stack references pointing to Oilpan's heap.
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This means there is no risk of confusing other value types with references.
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Oilpan has precise knowledge of on-heap object layouts, and so it knows exactly where pointers lie in memory.
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Oilpan can just start marking from the regular root set and collect all garbage precisely.
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## Atomic, incremental and concurrent garbage collection
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Oilpan has three modes of operation:
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1. **Atomic GC.**
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The entire GC cycle, including all its phases (e.g. see [Marking](#Marking-phase) and [Sweeping](#Sweeping-phase)), are executed back to back in a single pause.
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This mode of operation is also known as Stop-The-World (STW) garbage collection.
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It results in the most jank (due to a single long pause), but is overall the most efficient (e.g. no need for write barriers).
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2. **Incremental GC.**
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Garbage collection work is split up into multiple steps which are interleaved with the mutator, i.e. user code chunked into tasks.
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Each step is a small chunk of work that is executed either as dedicated tasks between mutator tasks or, as needed, during mutator tasks.
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Using incremental GC introduces the need for write barriers that record changes to the object graph so that a consistent state is observed and no objects are accidentally considered dead and reclaimed.
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The incremental steps are followed by a smaller atomic pause to finalize garbage collection.
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The smaller pause times, due to smaller chunks of work, helps with reducing jank.
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3. **Concurrent GC.**
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This is the most common type of GC.
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It builds on top of incremental GC and offloads much of the garbage collection work away from the mutator thread and on to background threads.
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Using concurrent GC allows the mutator thread to spend less time on GC and more on the actual mutator.
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## Marking phase
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The marking phase consists of the following steps:
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1. Mark all objects in the root set.
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2. Mark all objects transitively reachable from the root set by calling `Trace()` methods defined on each object.
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3. Clear out all weak handles to unreachable objects and run weak callbacks.
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The marking phase can be executed atomically in a stop-the-world manner, in which all 3 steps are executed one after the other.
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Alternatively, it can also be executed incrementally/concurrently.
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With incremental/concurrent marking, step 1 is executed in a short pause after which the mutator regains control.
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Step 2 is repeatedly executed in an interleaved manner with the mutator.
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When the GC is ready to finalize, i.e. step 2 is (almost) finished, another short pause is triggered in which step 2 is finished and step 3 is performed.
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To prevent a user-after-free (UAF) issues it is required for Oilpan to know about all edges in the object graph.
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This means that all pointers except on-stack pointers must be wrapped with Oilpan's handles (i.e., Persistent<>, Member<>, WeakMember<>).
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Raw pointers to on-heap objects create an edge that Oilpan cannot observe and cause UAF issues
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Thus, raw pointers shall not be used to reference on-heap objects (except for raw pointers on native stacks).
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## Sweeping phase
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The sweeping phase consists of the following steps:
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1. Invoke pre-finalizers.
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At this point, no destructors have been invoked and no memory has been reclaimed.
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Pre-finalizers are allowed to access any other on-heap objects, even those that may get destructed.
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2. Sweeping invokes destructors of the dead (unreachable) objects and reclaims memory to be reused by future allocations.
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Assumptions should not be made about the order and the timing of their execution.
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There is no guarantee on the order in which the destructors are invoked.
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That's why destructors must not access any other on-heap objects (which might have already been destructed).
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If some destructor unavoidably needs to access other on-heap objects, it will have to be converted to a pre-finalizer.
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The pre-finalizer is allowed to access other on-heap objects.
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The mutator is resumed before all destructors have ran.
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For example, imagine a case where X is a client of Y, and Y holds a list of clients.
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If the code relies on X's destructor removing X from the list, there is a risk that Y iterates the list and calls some method of X which may touch other on-heap objects.
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This causes a use-after-free.
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Care must be taken to make sure that X is explicitly removed from the list before the mutator resumes its execution in a way that doesn't rely on X's destructor (e.g. a pre-finalizer).
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Similar to marking, sweeping can be executed in either an atomic stop-the-world manner or incrementally/concurrently.
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With incremental/concurrent sweeping, step 2 is interleaved with mutator.
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Incremental/concurrent sweeping can be atomically finalized in case it is needed to trigger another GC cycle.
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Even with concurrent sweeping, destructors are guaranteed to run on the thread the object has been allocated on to preserve C++ semantics.
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Notes:
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* Weak processing runs only when the holder object of the WeakMember outlives the pointed object.
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If the holder object and the pointed object die at the same time, weak processing doesn't run.
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It is wrong to write code assuming that the weak processing always runs.
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* Pre-finalizers are heavy because the thread needs to scan all pre-finalizers at each sweeping phase to determine which pre-finalizers should be invoked (the thread needs to invoke pre-finalizers of dead objects).
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Adding pre-finalizers to frequently created objects should be avoided.
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