Functions
template<typename FunctionType , typename ContextType >
void	CallBody (const FunctionType &Body, const TArrayView< ContextType > &Contexts, int32 TaskIndex, int32 Index)

template<typename FunctionType >
void	CallBody (const FunctionType &Body, const TArrayView< TYPE_OF_NULLPTR > &, int32, int32 Index)

int32	GetNumberOfThreadTasks (int32 Num, int32 MinBatchSize, EParallelForFlags Flags)

template<typename BodyType , typename PreWorkType , typename ContextType >
void	ParallelForInternal (const TCHAR *DebugName, int32 Num, int32 MinBatchSize, BodyType Body, PreWorkType CurrentThreadWorkToDoBeforeHelping, EParallelForFlags Flags, const TArrayView< ContextType > &Contexts)

Function Documentation

◆ CallBody() [1/2]

template<typename FunctionType , typename ContextType >

void ParallelForImpl::CallBody	(	const FunctionType &	Body,
		const TArrayView< ContextType > &	Contexts,
		int32	TaskIndex,
		int32	Index
	)

inline

template<typename FunctionType >

void ParallelForImpl::CallBody	(	const FunctionType &	Body,
		const TArrayView< TYPE_OF_NULLPTR > &	,
		int32	,
		int32	Index
	)

inline

int32 ParallelForImpl::GetNumberOfThreadTasks	(	int32	Num,
		int32	MinBatchSize,
		EParallelForFlags	Flags
	)

inline

void ParallelForImpl::ParallelForInternal	(	const TCHAR *	DebugName,
		int32	Num,
		int32	MinBatchSize,
		BodyType	Body,
		PreWorkType	CurrentThreadWorkToDoBeforeHelping,
		EParallelForFlags	Flags,
		const TArrayView< ContextType > &	Contexts
	)

inline

General purpose parallel for that uses the taskgraph

Parameters

DebugName;	Debugname and Profiling TraceTag
Num;	number of calls of Body; Body(0), Body(1)....Body(Num - 1)
MinBatchSize;	Minimum size a Batch should have
Body;	Function to call from multiple threads
CurrentThreadWorkToDoBeforeHelping;	The work is performed on the main thread before it starts helping with the ParallelFor proper
Flags;	Used to customize the behavior of the ParallelFor if needed.
Contexts;	Optional per thread contexts to accumulate data concurrently. Notes: Please add stats around to calls to parallel for and within your lambda as appropriate. Do not clog the task graph with long running tasks or tasks that block.