UE Async and Threading

You are an expert in Unreal Engine's threading model, async task systems, and concurrent programming patterns.

Context Check

Read .agents/ue-project-context.md before proceeding. Engine version matters: UE::Tasks::Launch is the modern preferred API (UE 5.0+), while FAsyncTask and TaskGraph remain fully supported. Determine: What work needs to be offloaded? Is UObject access required? What latency/throughput tradeoff is acceptable?

Information Gathering

Ask the user if unclear:

• Offload type — CPU-bound computation, I/O wait, or periodic background work?
• UObject interaction — Does the background work need to read/write UObject state?
• Lifetime — One-shot task, recurring work, or long-lived thread?
• Result delivery — Fire-and-forget, or does the game thread need results back?

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UE Threading Model

UE runs several named threads plus a scalable worker pool. Understanding which thread owns what prevents the most common threading bugs.

Named threads:

• Game Thread — All UObject access, Blueprint execution, gameplay logic. Check with IsInGameThread().
• Render Thread — Render commands, scene proxy updates. IsInRenderingThread().
• RHI Thread — GPU command submission (platform-dependent).
• Worker Threads — Unnamed pool threads for task dispatch. Count scales with CPU cores.

The golden rule: UObjects are game-thread-only. No UPROPERTY reads, no UFUNCTION calls, no GetWorld(), no spawning from background threads. Violating this causes intermittent crashes that depend on GC timing and are extremely difficult to diagnose.

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Pattern Selection Guide

Choose the simplest API that fits your needs.

Pattern	Best For	Lifetime	Result?
AsyncTask(GameThread, Lambda)	Dispatch to game thread from background	One-shot	No
UE::Tasks::Launch	General async work (preferred, UE5+)	One-shot	TTask<T>
Async(EAsyncExecution, Lambda)	Flexible dispatch with TFuture	One-shot	TFuture<T>
FAsyncTask<T>	Reusable pooled work units	Reusable	Via GetTask()
FAutoDeleteAsyncTask<T>	Fire-and-forget pooled work	One-shot	No
TGraphTask<T>	Complex dependency graphs	One-shot	FGraphEvent
ParallelFor	Data-parallel loops	Blocking	No
FRunnable + FRunnableThread	Long-lived dedicated threads	Persistent	Manual

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FRunnable and FRunnableThread

Use FRunnable only when you need a dedicated, long-lived thread -- a socket listener, a file watcher, or a continuous processing loop. For one-shot work, prefer UE::Tasks::Launch or FAsyncTask.

Lifecycle: Init() (new thread) -> Run() (new thread) -> Exit() (new thread, after Run returns). Stop() is called externally to request shutdown.

FRunnableThread::Create signature: static FRunnableThread* Create(FRunnable*, const TCHAR* ThreadName, uint32 StackSize = 0, EThreadPriority = TPri_Normal, uint64 AffinityMask, EThreadCreateFlags).

Key points: Stop() signals the thread -- it does not block. Kill(true) calls Stop() then waits for completion. Always delete the FRunnableThread* after Kill. Use std::atomic<bool> bShouldStop in Run() loop, set it in Stop().

See references/threading-patterns.md for a complete FRunnable subclass template with proper shutdown.

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FAsyncTask and FAutoDeleteAsyncTask

For reusable work units on the engine thread pool (GThreadPool). Subclass FNonAbandonableTask and implement DoWork() + GetStatId().

class FMyComputeTask : public FNonAbandonableTask
{
    friend class FAsyncTask<FMyComputeTask>;
    int32 Result = 0;
    TArray<int32> InputData;

    FMyComputeTask(TArray<int32> InData) : InputData(MoveTemp(InData)) {}

    void DoWork()
    {
        for (int32 Val : InputData) { Result += Val; }
    }

    FORCEINLINE TStatId GetStatId() const
    {
        RETURN_QUICK_DECLARE_CYCLE_STAT(FMyComputeTask, STATGROUP_ThreadPoolAsyncTasks);
    }
};

Usage:

// Reusable — you manage lifetime
auto* Task = new FAsyncTask<FMyComputeTask>(MoveTemp(Data));
Task->StartBackgroundTask();          // dispatches to GThreadPool
Task->EnsureCompletion();             // blocks or runs inline if not started
int32 R = Task->GetTask().Result;
delete Task;

// Fire-and-forget — auto-deletes on completion
(new FAutoDeleteAsyncTask<FMyComputeTask>(MoveTemp(Data)))->StartBackgroundTask();

IsWorkDone() is the non-blocking completion check. Cancel() prevents execution if not yet started. StartSynchronousTask() runs inline on the calling thread.

---

TaskGraph

For work with complex dependency chains. Each task declares prerequisites; the scheduler handles ordering.

class FMyGraphTask
{
public:
    FMyGraphTask(int32 InValue) : Value(InValue) {}

    static ESubsequentsMode::Type GetSubsequentsMode()
    { return ESubsequentsMode::TrackSubsequents; }

    ENamedThreads::Type GetDesiredThread()
    { return ENamedThreads::AnyThread; }

    TStatId GetStatId() const
    { RETURN_QUICK_DECLARE_CYCLE_STAT(FMyGraphTask, STATGROUP_TaskGraphTasks); }

    void DoTask(ENamedThreads::Type CurrentThread, const FGraphEventRef& MyCompletionGraphEvent)
    { /* work here */ }

private:
    int32 Value;
};

Dispatching with prerequisites:

FGraphEventArray Prerequisites;  // TArray<FGraphEventRef, TInlineAllocator<4>>
Prerequisites.Add(SomePriorEvent);

FGraphEventRef TaskEvent = TGraphTask<FMyGraphTask>::CreateTask(&Prerequisites)
    .ConstructAndDispatchWhenReady(42);  // args forwarded to constructor

FTaskGraphInterface::Get().WaitUntilTaskCompletes(TaskEvent, ENamedThreads::GameThread);

Quick dispatch (no custom class needed):

AsyncTask(ENamedThreads::GameThread, [this]()
{
    MyActor->UpdateHealth(NewValue); // safe — runs on game thread
});

---

UE::Tasks::Launch (Modern Preferred API)

Recommended for new code (UE 5.0+). Simpler syntax than TaskGraph, automatic thread pool dispatch, built-in chaining.

#include "Tasks/Task.h"

UE::Tasks::TTask<int32> Task = UE::Tasks::Launch(
    UE_SOURCE_LOCATION,
    []() { return ExpensiveComputation(); }
);
int32 Result = Task.GetResult(); // blocks until complete

// With prerequisites
UE::Tasks::TTask<FVector> TaskA = UE::Tasks::Launch(UE_SOURCE_LOCATION,
    []() { return ComputePosition(); });

UE::Tasks::TTask<void> TaskB = UE::Tasks::Launch(UE_SOURCE_LOCATION,
    [&TaskA]() { ProcessPosition(TaskA.GetResult()); },
    UE::Tasks::Prerequisites(TaskA)
);

TTask API: GetResult() blocks and returns result. IsCompleted() non-blocking. Wait() / Wait(FTimespan) for timed blocking. TryRetractAndExecute() runs inline if not yet started (work stealing).

FTaskEvent for manual synchronization -- call Trigger() to unblock dependent tasks.

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Async, TFuture, and TPromise

Async() is the most flexible one-shot dispatch. Returns TFuture<T> with execution context control.

TFuture<FMyResult> Future = Async(EAsyncExecution::ThreadPool,
    []() -> FMyResult { return ComputeResult(); },
    []() { /* completion callback — runs on unspecified thread */ }
);
FMyResult R = Future.Get(); // blocks, does NOT invalidate (unlike std::future)

EAsyncExecution modes:

Mode	Thread
TaskGraph	Worker via TaskGraph
TaskGraphMainThread	Game thread via TaskGraph
Thread	New dedicated thread
ThreadPool	GThreadPool worker
LargeThreadPool	GLargeThreadPool (WITH_EDITOR only)

Convenience: AsyncPool(GThreadPool, Lambda), AsyncThread(Lambda, StackSize, Priority).

TFuture API

Key difference from std::future: Get() does not invalidate. Call it multiple times safely. Consume() invalidates like std::future::get().

• IsReady() -- non-blocking check
• Wait() / WaitFor(FTimespan) -- block without consuming
• Then(Continuation) / Next(Continuation) -- chaining, continuation runs on any thread
• Share() -- convert to shared future

TPromise

For producer-consumer patterns where producing and consuming sides are decoupled.

TPromise<FMyData> Promise;
TFuture<FMyData> Future = Promise.GetFuture(); // call once

Async(EAsyncExecution::ThreadPool, [P = MoveTemp(Promise)]() mutable
{
    P.SetValue(GenerateData()); // or EmplaceValue()
});

FMyData Result = Future.Get(); // blocks on game thread

---

ParallelFor

For data-parallel loops where each iteration is independent. The calling thread participates -- ParallelFor blocks until all iterations complete.

ParallelFor(Meshes.Num(), [&Meshes](int32 Index)
{
    ProcessMesh(Meshes[Index]);
});

// With MinBatchSize — prevents overhead for small workloads
ParallelFor(TEXT("ProcessMeshes"), Meshes.Num(), 64,
    [&Meshes](int32 Index) { ProcessMesh(Meshes[Index]); }
);

EParallelForFlags:

Flag	Value	Effect
None	0	Default behavior
ForceSingleThread	1	Debug: run sequentially
Unbalanced	2	Iterations have variable cost
PumpRenderingThread	4	Pump render commands while waiting
BackgroundPriority	8	Lower priority for workers

ParallelForWithTaskContext provides a per-worker context object -- use when workers need scratch memory to avoid per-iteration allocation.

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Game Thread Safety

Threading bugs in UE are silent -- they corrupt state, cause GC races, and produce bugs that only reproduce under load. See references/thread-safety-guide.md for complete patterns.

UObject Access Rules

1. All UObject access must happen on the game thread. No reads, writes, or function calls from background threads.
2. GC can destroy UObjects between ticks. A raw UObject* captured in a lambda may be dangling by execution time.
3. Spawning, destroying, modifying components -- game thread only.

Safe Dispatch Pattern

AsyncTask(ENamedThreads::GameThread, [WeakActor = TWeakObjectPtr<AActor>(MyActor)]()
{
    if (AActor* Actor = WeakActor.Get()) // nullptr if GC'd
    {
        Actor->UpdateFromBackgroundWork(NewData);
    }
});

Always capture TWeakObjectPtr, never raw UObject*. For non-UObject shared data, use TSharedPtr<T, ESPMode::ThreadSafe> -- the default ESPMode::NotThreadSafe has non-atomic refcounting.

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Synchronization Primitives

FCriticalSection (Recursive Mutex)

FCriticalSection is UE::FPlatformRecursiveMutex. Same thread can lock multiple times without deadlocking.

FCriticalSection DataLock;
void AddPosition(const FVector& Pos)
{
    FScopeLock Lock(&DataLock);  // RAII — unlocks on scope exit
    SharedPositions.Add(Pos);
}

FRWLock (Read-Write Lock)

Multiple readers OR one exclusive writer. FRWLock is not recursive -- do not nest.

FRWLock CacheLock;
FVector Read(FName Key)  { FReadScopeLock  RL(CacheLock); return Cache.FindRef(Key); }
void Write(FName K, FVector V) { FWriteScopeLock WL(CacheLock); Cache.Add(K, V); }

FEventRef and Atomics

FEventRef is the RAII wrapper for thread signaling. Prefer over raw FEvent*.

FEventRef WorkReady(EEventMode::AutoReset);
WorkReady->Trigger(); // producer signals
WorkReady->Wait();    // consumer blocks

FThreadSafeCounter and FThreadSafeBool are deprecated -- use std::atomic<int32> and std::atomic<bool> directly.

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TQueue (Lock-Free Queue)

Thread-safe queue for producer-consumer without locks.

TQueue<FMyMessage, EQueueMode::Mpsc> MessageQueue;

// Producer (any thread)
MessageQueue.Enqueue(FMyMessage{...});

// Consumer (game thread tick)
FMyMessage Msg;
while (MessageQueue.Dequeue(Msg)) { ProcessMessage(Msg); }

Spsc -- single-producer, single-consumer (slightly faster). Mpsc -- multiple-producer, single-consumer (most common). Peek() reads without dequeuing.

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Common Mistakes

Accessing UObject from background thread -- dispatch results back:

// WRONG — UObject access off game thread
Async(EAsyncExecution::ThreadPool, [this]()
{ MyActor->Health = ComputeNewHealth(); });

// RIGHT — compute off-thread, apply on game thread via weak pointer
Async(EAsyncExecution::ThreadPool, [WeakActor = TWeakObjectPtr<AActor>(MyActor)]()
{
    float NewHealth = ComputeNewHealth();
    AsyncTask(ENamedThreads::GameThread, [WeakActor, NewHealth]()
    { if (AActor* A = WeakActor.Get()) { A->SetHealth(NewHealth); } });
});

TSharedPtr with default ESPMode across threads:

// WRONG — non-atomic refcount
auto Data = MakeShared<FMyData>();
// RIGHT
auto Data = MakeShared<FMyData, ESPMode::ThreadSafe>();

FRWLock nested acquisition -- deadlock:

// WRONG — FRWLock is NOT recursive
FReadScopeLock Outer(Lock);
FReadScopeLock Inner(Lock);  // DEADLOCK on some platforms
// RIGHT — acquire once, do all reads, release

ParallelFor with shared mutable state:

// WRONG — concurrent writes
int32 Total = 0;
ParallelFor(Data.Num(), [&](int32 i) { Total += Data[i]; });
// RIGHT — atomic accumulation
std::atomic<int32> Total{0};
ParallelFor(Data.Num(), [&](int32 i)
{ Total.fetch_add(Data[i], std::memory_order_relaxed); });

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Related Skills

• ue-cpp-foundations -- TSharedPtr, TWeakObjectPtr, GC lifetime, smart pointer rules
• ue-gameplay-framework -- game thread tick flow, actor lifecycle ordering
• ue-networking-replication -- RPC dispatch threads, replication callbacks
• ue-data-assets-tables -- FStreamableManager async loading, soft references