TSQR::DistTsqrRB< LocalOrdinal, Scalar > Class Template Reference

Reduce-and-Broadcast (RB) version of DistTsqr. More...

#include <Tsqr_DistTsqrRB.hpp>

List of all members.

Public Member Functions
	DistTsqrRB (const Teuchos::RCP< MessengerBase< scalar_type > > &messenger)
void	getStats (std::vector< TimeStats > &stats) const
void	getStatsLabels (std::vector< std::string > &labels) const
bool	QR_produces_R_factor_with_nonnegative_diagonal () const
void	factorExplicit (matview_type R_mine, matview_type Q_mine)
	Internode TSQR with explicit Q factor.

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Detailed Description

template<class LocalOrdinal, class Scalar>
class TSQR::DistTsqrRB< LocalOrdinal, Scalar >

Reduce-and-Broadcast (RB) version of DistTsqr.

Reduce-and-Broadcast (RB) version of DistTsqr, which factors a vertical stack of n by n R factors, one per MPI process. Only the final R factor is broadcast; the implicit Q factor data stay on the MPI process where they are computed.

Definition at line 29 of file Tsqr_DistTsqrRB.hpp.

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Constructor & Destructor Documentation

template<class LocalOrdinal, class Scalar>

TSQR::DistTsqrRB< LocalOrdinal, Scalar >::DistTsqrRB

(

const Teuchos::RCP< MessengerBase< scalar_type > > &

messenger

)

[inline]

Constructor

Parameters:

messenger

[in/out] Smart pointer to a wrapper handling communication between MPI process(es).

Definition at line 43 of file Tsqr_DistTsqrRB.hpp.

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Member Function Documentation

template<class LocalOrdinal, class Scalar>

void TSQR::DistTsqrRB< LocalOrdinal, Scalar >::getStats

(

std::vector< TimeStats > &

stats

)

const [inline]

Fill in the timings vector with cumulative timings from factorExplicit(). The vector gets resized to fit all the timings.

Definition at line 56 of file Tsqr_DistTsqrRB.hpp.

template<class LocalOrdinal, class Scalar>

void TSQR::DistTsqrRB< LocalOrdinal, Scalar >::getStatsLabels

(

std::vector< std::string > &

labels

)

const [inline]

Fill in the labels vector with the string labels for the timings from factorExplicit(). The vector gets resized to fit all the labels.

Definition at line 72 of file Tsqr_DistTsqrRB.hpp.

template<class LocalOrdinal, class Scalar>

bool TSQR::DistTsqrRB< LocalOrdinal, Scalar >::QR_produces_R_factor_with_nonnegative_diagonal

(

)

const [inline]

Whether or not all diagonal entries of the R factor computed by the QR factorization are guaranteed to be nonnegative.

Definition at line 86 of file Tsqr_DistTsqrRB.hpp.

template<class LocalOrdinal, class Scalar>

void TSQR::DistTsqrRB< LocalOrdinal, Scalar >::factorExplicit	(	matview_type	R_mine,
		matview_type	Q_mine
	)		[inline]

Internode TSQR with explicit Q factor.

Parameters:

R_mine	[in/out] View of a matrix with at least as many rows as columns. On input: upper triangular matrix (R factor from intranode TSQR); different on each process.. On output: R factor from intranode QR factorization; bitwise identical on all processes, since it is effectively broadcast from Proc 0.
Q_mine	[out] View of a matrix with the same number of rows as R_mine has columns. On output: this process' component of the internode Q factor. (Write into the top block of this process' entire Q factor, fill the rest of Q with zeros, and call intranode TSQR's apply() on it, to get the final explicit Q factor.)

Definition at line 107 of file Tsqr_DistTsqrRB.hpp.

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The documentation for this class was generated from the following file:

• Tsqr_DistTsqrRB.hpp