Functions
template<Target target = Target::HostTask, typename scalar_t >
void	slate::internal::ttlqt (Matrix< scalar_t > &&A, Matrix< scalar_t > &&T)
	Distributed LQ triangle-triangle factorization of row of tiles.

template<typename scalar_t >
void	slate::internal::ttlqt (internal::TargetType< Target::HostTask >, Matrix< scalar_t > &A, Matrix< scalar_t > &T)
	Distributed LQ triangle-triangle factorization, host implementation.

template<Target target = Target::HostTask, typename scalar_t >
void	slate::internal::ttmlq (Side side, Op op, Matrix< scalar_t > &&A, Matrix< scalar_t > &&T, Matrix< scalar_t > &&C, int tag)
	Distributed multiply matrix by Q from LQ triangle-triangle factorization of row of tiles.

template<typename scalar_t >
void	slate::internal::ttmlq (internal::TargetType< Target::HostTask >, Side side, Op op, Matrix< scalar_t > &A, Matrix< scalar_t > &T, Matrix< scalar_t > &C, int tag)
	Distributed multiply matrix by Q from LQ triangle-triangle factorization of row of tiles, host implementation.

template<Target target = Target::HostTask, typename scalar_t >
void	slate::internal::unmlq (Side side, Op op, Matrix< scalar_t > &&V, Matrix< scalar_t > &&T, Matrix< scalar_t > &&C, Matrix< scalar_t > &&W, int priority, int64_t queue_index)
	Multiply matrix by Q from local LQ factorization.

template<Target target, typename scalar_t >
void	slate::internal::unmlq (internal::TargetType< target >, Side side, Op op, Matrix< scalar_t > V, Matrix< scalar_t > &T, Matrix< scalar_t > &C, Matrix< scalar_t > &W, int priority, int64_t queue_index)
	Multiply matrix by Q from local LQ factorization.

Detailed Description

Function Documentation

◆ ttlqt() [1/2]

template<typename scalar_t >

void slate::internal::ttlqt	(	internal::TargetType< Target::HostTask >	,
		Matrix< scalar_t > &	A,
		Matrix< scalar_t > &	T
	)

Distributed LQ triangle-triangle factorization, host implementation.

Assumes panel tiles reside on host.

◆ ttlqt() [2/2]

template<Target target = Target::HostTask, typename scalar_t >

void slate::internal::ttlqt	(	Matrix< scalar_t > &&	A,
		Matrix< scalar_t > &&	T
	)

Distributed LQ triangle-triangle factorization of row of tiles.

Each rank has one triangular tile, the result of local gelqf panel. Dispatches to target implementations.

◆ ttmlq()

template<Target target = Target::HostTask, typename scalar_t >

void slate::internal::ttmlq	(	Side	side,
		Op	op,
		Matrix< scalar_t > &&	A,
		Matrix< scalar_t > &&	T,
		Matrix< scalar_t > &&	C,
		int	tag
	)

Distributed multiply matrix by Q from LQ triangle-triangle factorization of row of tiles.

Dispatches to target implementations. todo: This assumes A and T have already been communicated as needed. However, it necessarily handles communication for C. Tag is used in gelqf to differentiate communication for look-ahead panel from rest of trailing matrix.

◆ unmlq()

template<Target target, typename scalar_t >

void slate::internal::unmlq	(	internal::TargetType< target >	,
		Side	side,
		Op	op,
		Matrix< scalar_t >	V,
		Matrix< scalar_t > &	T,
		Matrix< scalar_t > &	C,
		Matrix< scalar_t > &	W,
		int	priority,
		int64_t	queue_index
	)

Multiply matrix by Q from local LQ factorization.