Storage format for a Dense matrix. More...

#include <DenseStorage.hpp>

Inheritance diagram for lama::DenseStorageView< T >:

Public Types
typedef T	ValueType
	This is the type of the matrix values.
Public Member Functions
	DenseStorageView (LAMAArray< ValueType > &data, const IndexType numRows, const IndexType numColumns, bool initializedData=true)
	Creates a dense matrix with referenced data array.
virtual	~DenseStorageView ()
	Destructor of Dense matrix reference.
virtual DenseStorageView < ValueType > *	copy () const
	Implementation of MatrixStorage::copy for derived class.
virtual DenseStorageView < ValueType > *	create () const
	Implementation of MatrixStorage::create for derived class.
void	check (const char *msg) const
	Test the storage data for inconsistencies.
virtual void	assign (const _MatrixStorage &other)
	Override default assignment for more efficient solutions.
virtual Scalar::ScalarType	getValueType () const
	Getter routine for the data type of the elements.
virtual MatrixStorageFormat	getFormat () const
	Getter routine for the enum value that stands for this format.
void	setIdentity (const IndexType size)
	sets data for identity matrix.
void	setIdentity ()
	Sets current dense matrix to identity.
void	setZero ()
	Sets allocated dense matrix to zero.
template<typename OtherValueType >
void	setCSRDataImpl (const IndexType numRows, const IndexType numColumns, const IndexType numValues, const LAMAArray< IndexType > &ia, const LAMAArray< IndexType > &ja, const LAMAArray< OtherValueType > &values, const ContextPtr loc)
	fills dense storage by csr sparse data.
virtual void	writeAt (std::ostream &stream) const
	Print relevant information about matrix storage format.
ValueType	getValue (IndexType i, IndexType j) const
	Get a value of the matrix.
void	prefetch (const ContextPtr location) const
	Initiate an asynchronous data transfer to a specified location.
void	wait () const
	Will wait for all outstanding asynchronous data transfers.
LAMAArray< ValueType > &	getData ()
	Getter routine for the matrix data array (write)
const LAMAArray< ValueType > &	getData () const
	Getter routine for the matrix data array (read-only)
virtual IndexType	getNumValues () const
	Getter routine for the number of stored values.
virtual void	clear ()
	Implementation for pure method of _MatrixStorage.
virtual void	purge ()
	Purge clears the matrix and even frees the allocated memory.
template<typename OtherValueType >
void	buildCSR (LAMAArray< IndexType > &ia, LAMAArray< IndexType > ja, LAMAArray< OtherValueType > values, const ContextPtr) const
	Help routine to build any kind of CSR storage.
virtual void	invert (const MatrixStorage< ValueType > &other)
	Implementation of MatrixStorage::invert for dense storage.
virtual void	matrixTimesVector (LAMAArrayView< ValueType > result, const ValueType alpha, const LAMAArrayConstView< ValueType > x, const ValueType beta, const LAMAArrayConstView< ValueType > y) const
	Implementation of MatrixStorage::matrixTimesVector for Dense.
virtual void	matrixTimesMatrix (const ValueType alpha, const MatrixStorage< ValueType > &a, const MatrixStorage< ValueType > &b, const ValueType beta, const MatrixStorage< ValueType > &c)
	Implementation of MatrixStorage::matrixTimesTimes for Dense.
virtual ValueType	maxDiffNorm (const MatrixStorage< ValueType > &other)
	Implementation for MatrixStorage::maxDiffNorm.
virtual ValueType	maxDiffNormImpl (const DenseStorageView< ValueType > &other)
	Implementation of maxDiffNorm for dense matrices.
template<typename OtherType >
void	getRowImpl (LAMAArray< OtherType > &row, const IndexType i) const
	Template method for getting row.
template<typename OtherType >
void	getDiagonalImpl (LAMAArray< OtherType > &diagonal) const
	Template method for getting diagonal.
template<typename OtherType >
void	setDiagonalImpl (const LAMAArray< OtherType > &diagonal)
	This method replaces the diagonal.
void	setDiagonalImpl (const Scalar scalar)
	Implementation of pure method.
template<typename OtherType >
void	scaleImpl (const LAMAArray< OtherType > &values)
	Template version used for virtual routine scale with known value type.
virtual void	scaleImpl (const Scalar value)
	Implementation of pure method.
virtual size_t	getMemoryUsageImpl () const
	Returns the number of bytes needed for the current matrix.
void	swap (DenseStorageView< ValueType > &other)
void	allocate (const IndexType numRows, const IndexType numColumns)
	This method allocates new matrix storage for the matrix.
void	print () const
	Print dense matrix on output; use it carefully.
template<>
const char *	typeName ()
template<>
const char *	typeName ()
template<typename OtherValueType >
void	assignDenseStorageImpl (const DenseStorageView< OtherValueType > &other)
void	setCSRData (const IndexType numRows, const IndexType numColumns, const IndexType numValues, const LAMAArray< IndexType > &ia, const LAMAArray< IndexType > &ja, const _LAMAArray &values)
	Implementation of _MatrixStorage::setCSRData for derived class.
void	buildCSRSizes (LAMAArray< IndexType > &ia) const
	Implementation for _MatrixStorage::buildCSRSizes.
void	buildCSRData (LAMAArray< IndexType > &ia, LAMAArray< IndexType > &ja, _LAMAArray &values) const
	Get the matrix data of the storage in CSR format.
void	getRow (_LAMAArray &row, const IndexType i) const
	Get the i-th row of a storage as LAMA array.
void	getDiagonal (_LAMAArray &diagonal) const
	This method returns the diagonal of the matrix.
void	setDiagonal (const Scalar value)
void	setDiagonal (const _LAMAArray &diagonal)
	This method sets the diagonal of a matrix storage.
void	scale (const Scalar value)
	This method scales all matrix values with a scalar.
void	scale (const _LAMAArray &diagonal)
	Polymorph implementation for MatrixStorage<T>::scale.
virtual const char *	getTypeName () const
	Implementation of MatrixStorage::getTypeName for derived class.
template<typename OtherValueType >
void	setRawDenseData (const IndexType numRows, const IndexType numColumns, const OtherValueType values[], const ValueType eps=0.0)
	Construct a matrix from a dense matrix in row-major order (C-style).
template<typename OtherValueType >
void	setRawCSRData (const IndexType numRows, const IndexType numColumns, const IndexType numValues, const IndexType const ia, const IndexType const ja, const OtherValueType *const values)
	fills matrix storage by csr sparse data.
virtual void	joinHalo (const _MatrixStorage &localData, const _MatrixStorage &haloData, const class Halo &halo, const class Distribution &colDist)
	Join local and halo storage back into one storage as needed for NoDistribution.
virtual void	splitHalo (MatrixStorage< ValueType > &localData, MatrixStorage< ValueType > &haloData, class Halo &halo, const class Distribution &colDist, const class Distribution *rowDist) const
	Splitting of matrix storage for halo.
virtual void	buildHalo (class Halo &halo, const class Distribution &colDist)
	Special version of splitHalo where this matrix contains no local data and where haloData is aliased to this matrix.
virtual void	localize (const _MatrixStorage &globalData, const class Distribution &rowDist)
	This method build for this matrix the local part of a global matrix.
virtual void	localize (const _MatrixStorage &global, const Distribution &rowDist)
	This operation localizes the matrix storage of a full matrix to the part that is owned by this processor.
virtual void	replicate (const _MatrixStorage &localData, const class Distribution &rowDist)
	This routine builds the full matrix storage for a distributed matrix.
virtual void	buildCSCData (LAMAArray< IndexType > &cscIA, LAMAArray< IndexType > &cscJA, LAMAArray< ValueType > &cscValues) const
	This method builds CSC sparse data (column sizes, row indexes and data values) for a matrix storage.
virtual void	copyTo (_MatrixStorage &other) const
	The opposite routine to assign, for convenience as the other way around is sometimes more efficient.
virtual void	assignTranspose (const MatrixStorage< ValueType > &other)
	Transpose of matrix storage.
virtual void	redistribute (const _MatrixStorage &other, const class Redistributor &redistributor)
	This methods assigns a redistributed matrix.
virtual void	exchangeHalo (const class Halo &halo, const MatrixStorage< ValueType > &matrix, const class Communicator &comm)
	Build a halo matrix with all rows of required indexes.
virtual void	writeToFile (const std::string &fileName, const File::FileType fileType=File::BINARY, const File::DataType dataType=File::INTERNAL, const File::IndexDataType indexDataTypeIA=File::INT, const File::IndexDataType indexDataTypeJA=File::INT) const
	get the number of elements left/right of the diagonal for the given row
virtual void	writeToFile (const PartitionId size, const PartitionId rank, const std::string &fileName, const File::FileType fileType=File::BINARY, const File::DataType dataType=File::INTERNAL, const File::IndexDataType indexDataTypeIA=File::INT, const File::IndexDataType indexDataTypeJA=File::INT) const
virtual void	readFromFile (const std::string &fileName)
virtual void	matrixTimesVectorN (LAMAArrayView< ValueType > result, const IndexType n, const ValueType alpha, const LAMAArrayConstView< ValueType > x, const ValueType beta, const LAMAArrayConstView< ValueType > y) const
virtual std::auto_ptr< SyncToken >	matrixTimesVectorAsync (LAMAArrayView< ValueType > result, const ValueType alpha, const LAMAArrayConstView< ValueType > x, const ValueType beta, const LAMAArrayConstView< ValueType > y) const
	This method implements result = alpha * thisMatrix * x + beta * y that is executed asynchronously.
virtual void	matrixTimesScalar (const ValueType alpha, const MatrixStorage< ValueType > &a)
	Assign this = alpha * a.
virtual void	jacobiIterate (LAMAArrayView< ValueType > solution, const LAMAArrayConstView< ValueType > oldSolution, const LAMAArrayConstView< ValueType > rhs, const ValueType omega) const
	Jacobi iteration step on a local storage.
virtual std::auto_ptr< SyncToken >	jacobiIterateAsync (LAMAArrayView< ValueType > solution, const LAMAArrayConstView< ValueType > oldSolution, const LAMAArrayConstView< ValueType > rhs, const ValueType omega) const
	Asynchrounous version of jacobiIterate.
virtual void	jacobiIterateHalo (LAMAArrayView< ValueType > localSolution, const MatrixStorage< ValueType > &localStorage, const LAMAArrayConstView< ValueType > haloOldSolution, const ValueType omega) const
	Jacobi iteration step on a halo storage.
void	init (const IndexType numRows, const IndexType numColumns)
	Initialization of base class due to a resize.
void	setContext (ContextPtr context)
	Set the preferred context for the matrix storage.
ContextPtr	getContextPtr () const
	Getter for the preferred context of the storage data, returns pointer.
const Context &	getContext () const
	Getter for the preferred context of the storage data.
void	prefetch () const
	Method that prefetches storage data to its preferred location.
void	setCompressThreshold (float ratio)
	Allow for additional row compression.
IndexType	getNumRows () const
IndexType	getNumColumns () const
void	resetDiagonalProperty ()
bool	hasDiagonalProperty () const
const LAMAArray< IndexType > &	getRowIndexes () const
size_t	getMemoryUsage () const
	Returns the number of bytes needed for the current matrix.
Static Public Member Functions
static const char *	typeName ()
	get typename of the matrix storage format.
static void	convertCSR2CSC (LAMAArray< IndexType > &colIA, LAMAArray< IndexType > &colJA, LAMAArray< ValueType > &colValues, const IndexType numColumns, const LAMAArray< IndexType > &rowIA, const LAMAArray< IndexType > &rowJA, const LAMAArray< ValueType > &rowValues, const ContextPtr loc)
	Conversion routine of Compressed Sparse Row data to Compressed Sparse Column.
static void	joinRows (LAMAArray< IndexType > &outIA, LAMAArray< IndexType > &outJA, LAMAArray< ValueType > &outValues, const IndexType numRows, const LAMAArray< IndexType > &rowIndexes, const LAMAArray< IndexType > &inIA, const LAMAArray< IndexType > &inJA, const LAMAArray< ValueType > &inValues)
	Method that joins rows of another matrix storage.
static void	offsets2sizes (LAMAArray< IndexType > &offsets)
	Help routines to convert arrays with sizes to offsets and vice versa.
static void	offsets2sizes (LAMAArray< IndexType > &sizes, const LAMAArray< IndexType > &offsets)
static IndexType	sizes2offsets (LAMAArray< IndexType > &sizes)
	Utitily to compute the offset array from a sizes array.
Protected Member Functions
	LAMA_LOG_DECL_STATIC_LOGGER (logger)
	logger for this matrix format
void	swap (MatrixStorage< ValueType > &other)
	Swap member variables of base class MatrixStorage<T>
void	swap (_MatrixStorage &other)
	Swaps this with other.
virtual void	_assignTranspose (const _MatrixStorage &other)
virtual void	_assign (const _MatrixStorage &other)
Protected Attributes
LAMAArray< ValueType > &	mData
	Reference to the matrix value array.
ValueType	mEpsilon
	The value mEpsilon is an individual value for each matrix storage that specifies a threshold when a matrix values can be considered as zero.
IndexType	mNumRows
IndexType	mNumColumns
LAMAArray< IndexType >	mRowIndexes
	used in case of sparse representation of ia
float	mCompressThreshold
	ratio at which compression is done, 0 for never, 1 for always
bool	mDiagonalProperty
	if true, diagonal elements are always stored at first position in each row
ContextPtr	mContext
	preferred context for the storage
Private Member Functions
	DenseStorageView ()
virtual bool	checkDiagonalProperty () const
	checkDiagonalProperty checks if the diagonal property of this is full filled.
template<typename OtherType >
void	assignDenseStorageImpl (const DenseStorageView< OtherType > &otherDenseStorage)
void	matrixTimesMatrixDense (const ValueType alpha, const DenseStorageView< ValueType > &a, const DenseStorageView< ValueType > &b, const ValueType beta, const DenseStorageView< ValueType > &c)
	Implementation of matrix times matrix for dense matrices.
void	invertDense (const DenseStorageView< ValueType > &other)
	invert only for DenseStorage.

Detailed Description

template<typename T>
class lama::DenseStorageView< T >

Storage format for a Dense matrix.

Template Parameters:

T	is the value type for the matrix elements.

Member Typedef Documentation

template<typename T>

typedef T lama::DenseStorageView< T >::ValueType

This is the type of the matrix values.

Reimplemented from lama::MatrixStorage< T >.

Reimplemented in lama::DenseStorage< T >.

Constructor & Destructor Documentation

template<typename ValueType >

lama::DenseStorageView< ValueType >::DenseStorageView	(	LAMAArray< ValueType > &	data,
		const IndexType	numRows,
		const IndexType	numColumns,
		bool	initializedData = `true`
	)

Creates a dense matrix with referenced data array.

Parameters:

[in]	data	is an array whose values will be copied
[in]	numRows	the number of rows of the matrix
[in]	numColumns	the number of columns of the matrix
[in]	intializedData	should be true for existing data to verify good sizes

References lama::DenseStorageView< T >::checkDiagonalProperty(), LAMA_ASSERT_EQUAL_ERROR, lama::_MatrixStorage::mDiagonalProperty, and lama::_LAMAArray::size().

template<typename ValueType >

lama::DenseStorageView< ValueType >::~DenseStorageView ( ) [virtual]

Destructor of Dense matrix reference.

template<typename T>

lama::DenseStorageView< T >::DenseStorageView ( ) [private]

Member Function Documentation

void lama::_MatrixStorage::_assign ( const _MatrixStorage & other ) [protected, virtual, inherited]

References lama::LAMAArray< T >::clear(), lama::_MatrixStorage::mCompressThreshold, lama::_MatrixStorage::mDiagonalProperty, lama::_MatrixStorage::mNumColumns, lama::_MatrixStorage::mNumRows, and lama::_MatrixStorage::mRowIndexes.

Referenced by lama::CSRStorage< T >::assign(), lama::DenseStorageView< T >::assignDenseStorageImpl(), and lama::JDSStorage< T >::assignJDS().

void lama::_MatrixStorage::_assignTranspose ( const _MatrixStorage & other ) [protected, virtual, inherited]

References lama::LAMAArray< T >::clear(), lama::_MatrixStorage::mCompressThreshold, lama::_MatrixStorage::mDiagonalProperty, lama::_MatrixStorage::mNumColumns, lama::_MatrixStorage::mNumRows, and lama::_MatrixStorage::mRowIndexes.

Referenced by lama::CSRStorage< T >::assignTranspose().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::allocate	(	const IndexType	numRows,
		const IndexType	numColumns
	)		`[virtual]`

This method allocates new matrix storage for the matrix.

The matrix contains only zero elements.

Note: This method contains an implicit clear, but not a purge. So allocation of a much smaller matrix compared to the existing one might result in some waste of memory.

Implements lama::_MatrixStorage.

Referenced by lama::DenseMatrix< T >::localize().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::assign ( const _MatrixStorage & other ) [virtual]

Override default assignment for more efficient solutions.

Reimplemented from lama::MatrixStorage< T >.

References lama::MatrixStorage< T >::assign(), lama::DENSE, lama::Scalar::DOUBLE, lama::Scalar::FLOAT, lama::_MatrixStorage::getFormat(), lama::_MatrixStorage::getValueType(), and LAMA_ASSERT_DEBUG.

Referenced by lama::DenseMatrix< T >::assign(), and lama::DenseStorage< T >::DenseStorage().

template<typename T>

template<typename OtherType >

void lama::DenseStorageView< T >::assignDenseStorageImpl ( const DenseStorageView< OtherType > & otherDenseStorage ) [private]

template<typename T>

template<typename OtherValueType >

void lama::DenseStorageView< T >::assignDenseStorageImpl ( const DenseStorageView< OtherValueType > & other )

References lama::_MatrixStorage::_assign(), lama::OpenMPDenseUtils::copyDenseValues(), lama::WriteAccess< T >::get(), and lama::DenseStorageView< T >::getData().

template<typename ValueType >

void lama::MatrixStorage< ValueType >::assignTranspose ( const MatrixStorage< ValueType > & other ) [virtual, inherited]

Transpose of matrix storage.

A default implementation is provided using CSR data. Derived clauses might override this method with more efficient solutions.

Note: type conversion is not supported here

Reimplemented in lama::CSRStorage< T >.

References lama::MatrixStorage< T >::buildCSCData(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), and lama::_LAMAArray::size().

template<typename T >

void lama::MatrixStorage< T >::buildCSCData	(	LAMAArray< IndexType > &	cscIA,
		LAMAArray< IndexType > &	cscJA,
		LAMAArray< ValueType > &	cscValues
	)		const `[virtual, inherited]`

This method builds CSC sparse data (column sizes, row indexes and data values) for a matrix storage.

For efficiency a derived class might override this method, e.g. for CSR storage.

Reimplemented in lama::CSRStorage< T >.

Referenced by lama::CSRStorage< T >::assignTranspose(), lama::MatrixStorage< T >::assignTranspose(), and lama::SparseMatrix< T >::assignTransposeImpl().

template<typename ValueType >

template<typename OtherValueType >

void lama::DenseStorageView< ValueType >::buildCSR	(	LAMAArray< IndexType > &	ia,
		LAMAArray< IndexType > *	ja,
		LAMAArray< OtherValueType > *	values,
		const ContextPtr
	)		const

Help routine to build any kind of CSR storage.

References lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::OpenMPDenseUtils::getCSRSizes(), lama::OpenMPDenseUtils::getCSRValues(), lama::WriteAccess< T >::resize(), and lama::OpenMPCSRUtils::sizes2offsets().

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::buildCSRData	(	LAMAArray< IndexType > &	csrIA,
		LAMAArray< IndexType > &	csrJA,
		_LAMAArray &	csrValues
	)		const `[inline, virtual, inherited]`

Get the matrix data of the storage in CSR format.

Parameters:

[out]	csrIA	offset array for rows, csrIA.size() == numRows + 1
[out]	csrJA	column indexes, csrJA.size() == csrIA[ csrIA.size() ]
[out]	csrValues	are the non-zero matrix values, csrJA.size() == csrValues.size()

The csr data will have the diagonal property if this->hasDiagonalProperty() is true.

Note: This routine supports also type conversion between different value types.

     DenseStorage<double> dense( ... )
     LAMAArray<IndexType> ia, ja;
     LAMAArray<float> values;
     // get non-zero values of dense matrix as float values
     dense.buildCSRData( ia, ja, values );

This routine must be provided by each matrix storage format.

Implements lama::_MatrixStorage.

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::buildCSRSizes ( LAMAArray< IndexType > & ia ) const [inline, virtual, inherited]

Implementation for _MatrixStorage::buildCSRSizes.

Implements lama::_MatrixStorage.

template<typename T>

void lama::MatrixStorage< ValueType >::buildHalo	(	class Halo &	halo,
		const class Distribution &	colDist
	)		`[virtual, inherited]`

Special version of splitHalo where this matrix contains no local data and where haloData is aliased to this matrix.

This routine is used to translate the non-local column indexes (required values) to local halo indexes and to set up the exchange schedule.

References lama::Distribution::getGlobalSize(), LAMA_ASSERT_EQUAL, and lama::_LAMAArray::size().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::check ( const char * msg ) const [virtual]

Test the storage data for inconsistencies.

Parameters:

[in] msg is additional message string that should be used to identify calling routine

Exceptions:

Exception in case of any inconsistency.

Implements lama::_MatrixStorage.

References LAMA_ASSERT_EQUAL_ERROR.

template<typename ValueType >

bool lama::DenseStorageView< ValueType >::checkDiagonalProperty ( ) const [private, virtual]

checkDiagonalProperty checks if the diagonal property of this is full filled.

Returns:: true if the diagonal property is fulfilled for the matrix data

Implements lama::_MatrixStorage.

Referenced by lama::DenseStorageView< T >::DenseStorageView().

template<typename T>

virtual void lama::DenseStorageView< T >::clear ( ) [inline, virtual]

Implementation for pure method of _MatrixStorage.

Implements lama::_MatrixStorage.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::convertCSR2CSC	(	LAMAArray< IndexType > &	colIA,
		LAMAArray< IndexType > &	colJA,
		LAMAArray< ValueType > &	colValues,
		const IndexType	numColumns,
		const LAMAArray< IndexType > &	rowIA,
		const LAMAArray< IndexType > &	rowJA,
		const LAMAArray< ValueType > &	rowValues,
		const ContextPtr	loc
	)		`[static, inherited]`

Conversion routine of Compressed Sparse Row data to Compressed Sparse Column.

References lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), LAMA_ASSERT_EQUAL_DEBUG, LAMA_CONTEXT_ACCESS, LAMA_INTERFACE_FN_T, LAMA_REGION, and lama::_LAMAArray::size().

template<typename ValueType >

DenseStorageView< ValueType > * lama::DenseStorageView< ValueType >::copy ( ) const [virtual]

Implementation of MatrixStorage::copy for derived class.

Implements lama::MatrixStorage< T >.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::copyTo ( _MatrixStorage< T > & other ) const [virtual, inherited]

The opposite routine to assign, for convenience as the other way around is sometimes more efficient.

Implements lama::_MatrixStorage.

Reimplemented in lama::CSRStorage< T >.

References LAMA_ASSERT_EQUAL_DEBUG, lama::_MatrixStorage::setCSRData(), and lama::_LAMAArray::size().

template<typename ValueType >

DenseStorageView< ValueType > * lama::DenseStorageView< ValueType >::create ( ) const [virtual]

Implementation of MatrixStorage::create for derived class.

Implements lama::MatrixStorage< T >.

template<typename T>

void lama::MatrixStorage< ValueType >::exchangeHalo	(	const class Halo &	halo,
		const MatrixStorage< ValueType > &	matrix,
		const class Communicator &	comm
	)		`[virtual, inherited]`

Build a halo matrix with all rows of required indexes.

References lama::_MatrixStorage::buildCSRData(), lama::_MatrixStorage::getNumColumns(), and lama::_LAMAArray::size().

Referenced by lama::SparseMatrix< T >::matrixTimesMatrixImpl().

const Context& lama::_MatrixStorage::getContext ( ) const [inline, inherited]

Getter for the preferred context of the storage data.

Referenced by lama::ELLStorage< T >::ELLStorage().

ContextPtr lama::_MatrixStorage::getContextPtr ( ) const [inline, inherited]

Getter for the preferred context of the storage data, returns pointer.

Referenced by lama::SpecializedJacobi::iterateTyped(), and lama::JDSStorage< T >::JDSStorage().

template<typename ValueType >

LAMAArray< ValueType > & lama::DenseStorageView< ValueType >::getData ( )

Getter routine for the matrix data array (write)

Referenced by lama::DenseStorageView< T >::assignDenseStorageImpl(), lama::LUSolver::computeLUFactorization(), lama::InverseSolver::decompose(), lama::InverseSolver::invert(), lama::DenseMatrix< T >::invertCyclic(), lama::DenseMatrix< T >::joinColumnData(), lama::DenseMatrix< T >::localize(), lama::DenseStorageView< T >::matrixTimesMatrixDense(), lama::LUSolver::piamax_own(), lama::LUSolver::ptrsm(), lama::DenseMatrix< T >::redistributeRows(), lama::replicate(), and lama::DenseMatrix< T >::splitColumnData().

template<typename ValueType >

const LAMAArray< ValueType > & lama::DenseStorageView< ValueType >::getData ( ) const

Getter routine for the matrix data array (read-only)

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::getDiagonal ( _LAMAArray & diagonal ) const [inline, virtual, inherited]

This method returns the diagonal of the matrix.

Parameters:

[out] diagonal is the destination array

The values will be stored in diagonal that can be of any type for which implicit conversion is available.

Implements lama::_MatrixStorage.

template<typename ValueType >

template<typename OtherType >

void lama::DenseStorageView< ValueType >::getDiagonalImpl ( LAMAArray< OtherType > & diagonal ) const

Template method for getting diagonal.

References lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::OpenMPDenseUtils::getDiagonal(), and lama::min().

template<typename ValueType >

MatrixStorageFormat lama::DenseStorageView< ValueType >::getFormat ( ) const [virtual]

Getter routine for the enum value that stands for this format.

Implements lama::_MatrixStorage.

References lama::DENSE.

size_t lama::_MatrixStorage::getMemoryUsage ( ) const [inherited]

Returns the number of bytes needed for the current matrix.

Note: This routine does not tell how many memory is really allocated. Storage data might be allocated on more than one device. Furthermore, it is possible that arrays have more memory reserved than needed for its current size.

References lama::_MatrixStorage::getMemoryUsageImpl(), lama::_MatrixStorage::mRowIndexes, and lama::_LAMAArray::size().

template<typename ValueType >

size_t lama::DenseStorageView< ValueType >::getMemoryUsageImpl ( ) const [virtual]

Returns the number of bytes needed for the current matrix.

This pure function must be implemented by each derived class. Relevant for the number of bytes is the current size of the used (LAMA) arrays.

Note: This routine does not tell how many memory is really allocated. Storage data might be allocated on more than one device. Furthermore, it is possible that arrays have more memory reserved than needed for its current size.

Implements lama::_MatrixStorage.

IndexType lama::_MatrixStorage::getNumColumns ( ) const [inline, inherited]

References lama::_MatrixStorage::mNumColumns.

IndexType lama::_MatrixStorage::getNumRows ( ) const [inline, inherited]

References lama::_MatrixStorage::mNumRows.

Referenced by lama::SparseMatrix< T >::assign(), lama::DenseMatrix< T >::assign(), lama::MatrixStorage< T >::assign(), lama::MatrixStorage< T >::assignTranspose(), lama::InverseSolver::decompose(), lama::InverseSolver::invert(), lama::DenseMatrix< T >::invertCyclic(), lama::SOR::iterateImpl(), lama::JDSStorage< T >::jacobiIterateHalo(), lama::ELLStorage< T >::jacobiIterateHalo(), lama::CSRStorage< T >::jacobiIterateHalo(), lama::DenseMatrix< T >::joinColumnData(), lama::MatrixStorage< T >::joinHalo(), lama::_MatrixStorage::localize(), lama::DenseMatrix< T >::localize(), lama::MatrixStorage< T >::localize(), lama::CSRStorage< T >::matrixAddMatrixCSR(), lama::ELLStorage< T >::matrixAddMatrixELL(), lama::CSRStorage< T >::matrixTimesMatrixCSR(), lama::DenseStorageView< T >::matrixTimesMatrixDense(), lama::ELLStorage< T >::matrixTimesMatrixELL(), lama::DenseStorageView< T >::maxDiffNorm(), lama::CSRStorage< T >::maxDiffNorm(), lama::MatrixStorage< T >::maxDiffNorm(), lama::MatrixStorage< T >::redistribute(), lama::MatrixStorage< T >::replicate(), lama::replicate(), lama::SparseMatrix< T >::set(), lama::DenseMatrix< T >::splitColumnData(), lama::DIASparseMatrix< T >::swapLocalStorage(), lama::CSRSparseMatrix< T >::swapLocalStorage(), lama::ELLSparseMatrix< T >::swapLocalStorage(), lama::COOSparseMatrix< T >::swapLocalStorage(), and lama::JDSSparseMatrix< T >::swapLocalStorage().

template<typename ValueType >

IndexType lama::DenseStorageView< ValueType >::getNumValues ( ) const [virtual]

Getter routine for the number of stored values.

Reimplemented from lama::_MatrixStorage.

References lama::abs().

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::getRow	(	_LAMAArray &	row,
		const IndexType	i
	)		const `[inline, virtual, inherited]`

Get the i-th row of a storage as LAMA array.

Implements lama::_MatrixStorage.

template<typename ValueType >

template<typename OtherType >

void lama::DenseStorageView< ValueType >::getRowImpl	(	LAMAArray< OtherType > &	row,
		const IndexType	i
	)		const

Template method for getting row.

References LAMA_ASSERT_DEBUG.

const LAMAArray< IndexType > & lama::_MatrixStorage::getRowIndexes ( ) const [inline, inherited]

References lama::_MatrixStorage::mRowIndexes.

virtual const char* lama::CRTPMatrixStorage< DenseStorageView< T > , T >::getTypeName ( ) const [inline, virtual, inherited]

Implementation of MatrixStorage::getTypeName for derived class.

Implements lama::_MatrixStorage.

Reimplemented in lama::DenseStorage< T >.

template<typename ValueType >

ValueType lama::DenseStorageView< ValueType >::getValue	(	IndexType	i,
		IndexType	j
	)		const `[virtual]`

Get a value of the matrix.

Parameters:

[in]	i	is the row index, 0 <= i < mNumRows
[in]	j	is the colum index, 0 <= j < mNumRows

Out-of-range check is enabled for DEBUG version.

Implements lama::MatrixStorage< T >.

template<typename ValueType >

Scalar::ScalarType lama::DenseStorageView< ValueType >::getValueType ( ) const [virtual]

Getter routine for the data type of the elements.

Reimplemented from lama::MatrixStorage< T >.

bool lama::_MatrixStorage::hasDiagonalProperty ( ) const [inline, inherited]

References lama::_MatrixStorage::mDiagonalProperty.

Referenced by lama::SOR::iterateImpl(), lama::JDSStorage< T >::jacobiIterateHalo(), lama::ELLStorage< T >::jacobiIterateHalo(), lama::CSRStorage< T >::jacobiIterateHalo(), and lama::MatrixStorage< T >::joinHalo().

void lama::_MatrixStorage::init	(	const IndexType	numRows,
		const IndexType	numColumns
	)		`[inherited]`

Initialization of base class due to a resize.

References lama::_MatrixStorage::mCompressThreshold, lama::_MatrixStorage::mDiagonalProperty, lama::_MatrixStorage::mNumColumns, and lama::_MatrixStorage::mNumRows.

Referenced by lama::_MatrixStorage::_MatrixStorage(), lama::SparseAssemblyStorage< T >::allocate(), lama::CSRStorage< T >::allocate(), lama::ELLStorage< T >::setCSRDataImpl(), lama::JDSStorage< T >::setCSRDataImpl(), lama::DIAStorage< T >::setCSRDataImpl(), and lama::CSRStorage< T >::setIdentity().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::invert ( const MatrixStorage< ValueType > & other ) [virtual]

Implementation of MatrixStorage::invert for dense storage.

Note: other matrix storage can be aliased with this storage.

Reimplemented from lama::MatrixStorage< T >.

References lama::DENSE, lama::_MatrixStorage::getFormat(), LAMA_ASSERT_ERROR, and LAMA_UNSUPPORTED.

Referenced by lama::MatrixStorage< T >::invert().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::invertDense ( const DenseStorageView< ValueType > & other ) [private]

invert only for DenseStorage.

References lama::WriteAccess< T >::get(), lama::ContextFactory::getContext(), lama::LAMAInterface::getLAPACKInterface(), lama::Context::Host, LAMA_ASSERT_EQUAL_ERROR, and LAMA_ASSERT_ERROR.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::jacobiIterate	(	LAMAArrayView< ValueType >	solution,
		const LAMAArrayConstView< ValueType >	oldSolution,
		const LAMAArrayConstView< ValueType >	rhs,
		const ValueType	omega
	)		const `[virtual, inherited]`

Jacobi iteration step on a local storage.

solution = omega * ( rhs + B * oldSolution) * dinv + ( 1 - omega ) * oldSolution

where B is this storage without diagonal, dinv the inverse diagonal

Parameters:

[out]	solution	is the solution vector to be computed
[in]	oldSolution	is the old solution vector
[in]	rhs	is the right hand side of equation system to solve
[in]	omega	is the scaling factor

Reimplemented in lama::CSRStorage< T >, lama::ELLStorage< T >, lama::COOStorage< T >, lama::DIAStorage< T >, and lama::JDSStorage< T >.

References lama::CSRStorage< T >::jacobiIterate(), and LAMA_UNSUPPORTED.

Referenced by lama::SpecializedJacobi::iterateTyped().

template<typename ValueType >

std::auto_ptr< SyncToken > lama::MatrixStorage< ValueType >::jacobiIterateAsync	(	LAMAArrayView< ValueType >	solution,
		const LAMAArrayConstView< ValueType >	oldSolution,
		const LAMAArrayConstView< ValueType >	rhs,
		const ValueType	omega
	)		const `[virtual, inherited]`

Asynchrounous version of jacobiIterate.

Referenced by lama::SpecializedJacobi::iterateTyped().

template<typename ValueType >

void lama::MatrixStorage< ValueType >::jacobiIterateHalo	(	LAMAArrayView< ValueType >	localSolution,
		const MatrixStorage< ValueType > &	localStorage,
		const LAMAArrayConstView< ValueType >	haloOldSolution,
		const ValueType	omega
	)		const `[virtual, inherited]`

Jacobi iteration step on a halo storage.

solution -= omega * ( B(halo) * oldSolution) * dinv

Parameters:

[in,out]	localSolution	is the solution vector that is updated
[in]	localStorage	is needed to get the diagonal
[in]	haloOldSolution	is the old solution vector of halo part
[in]	omega	is the scaling factor.

While local storage must be square and have the diagonal property, this matrix storage does not have to be square.

Reimplemented in lama::CSRStorage< T >, lama::ELLStorage< T >, and lama::JDSStorage< T >.

References lama::CSRStorage< T >::jacobiIterateHalo(), and LAMA_UNSUPPORTED.

Referenced by lama::SpecializedJacobi::iterateTyped().

template<typename T>

void lama::MatrixStorage< ValueType >::joinHalo	(	const _MatrixStorage< T > &	localData,
		const _MatrixStorage< T > &	haloData,
		const class Halo &	halo,
		const class Distribution &	colDist
	)		`[virtual, inherited]`

Join local and halo storage back into one storage as needed for NoDistribution.

This matrix storage is used as output matrix.

Parameters:

[in]	localData	is matrix storage with local data
[in]	haloData	is the matrix storage with halo data
[in]	halo	is the communicaton halo, contains also mapping halo to global indexes
[in]	colDist	is the distribution that has be used for getting the local data

Attention: localData might be aliased with this matrix storage, while haloData must not

Derived classes might use a default implementation that is based on joining CSR data with corresponding conversions.

References lama::_MatrixStorage::buildCSRData(), lama::Distribution::getGlobalSize(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), lama::Halo::getRequiredIndexes(), lama::_MatrixStorage::hasDiagonalProperty(), lama::Distribution::local2global(), lama::min(), and lama::_LAMAArray::size().

Referenced by lama::SparseMatrix< T >::writeToFile().

template<typename ValueType >

void lama::MatrixStorage< ValueType >::joinRows	(	LAMAArray< IndexType > &	outIA,
		LAMAArray< IndexType > &	outJA,
		LAMAArray< ValueType > &	outValues,
		const IndexType	numRows,
		const LAMAArray< IndexType > &	rowIndexes,
		const LAMAArray< IndexType > &	inIA,
		const LAMAArray< IndexType > &	inJA,
		const LAMAArray< ValueType > &	inValues
	)		`[static, inherited]`

Method that joins rows of another matrix storage.

row(i) of out contains all elements of in(k) with rowIndexes[k] == i

References lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::WriteAccess< T >::resize(), lama::ReadAccess< T >::size(), and lama::WriteAccess< T >::size().

template<typename T>

lama::DenseStorageView< T >::LAMA_LOG_DECL_STATIC_LOGGER ( logger ) [protected]

logger for this matrix format

Reimplemented from lama::_MatrixStorage.

void lama::_MatrixStorage::localize	(	const _MatrixStorage &	global,
		const Distribution &	rowDist
	)		`[virtual, inherited]`

This operation localizes the matrix storage of a full matrix to the part that is owned by this processor.

This means that only the owned rows of the matrix will be kept.

Notes:

* routine can also be used if global is aliased with this matrix. * this routine is the same as an assign in case of a replicated distribution

References lama::Distribution::getGlobalSize(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), LAMA_ASSERT_EQUAL_ERROR, and LAMA_THROWEXCEPTION.

template<typename T>

void lama::MatrixStorage< ValueType >::localize	(	const _MatrixStorage< T > &	globalData,
		const class Distribution &	rowDist
	)		`[virtual, inherited]`

This method build for this matrix the local part of a global matrix.

The row distribution specifies which rows of the global matrix will be used for this storage locally.

Attention: globalMatrix might be aliased to this storage.

References lama::_MatrixStorage::buildCSRData(), lama::Distribution::getGlobalSize(), lama::Distribution::getLocalSize(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), lama::Distribution::isReplicated(), LAMA_ASSERT_EQUAL_ERROR, and lama::_LAMAArray::size().

Referenced by lama::DenseMatrix< T >::assign(), and lama::MatrixStorage< T >::splitHalo().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::matrixTimesMatrix	(	const ValueType	alpha,
		const MatrixStorage< ValueType > &	a,
		const MatrixStorage< ValueType > &	b,
		const ValueType	beta,
		const MatrixStorage< ValueType > &	c
	)		`[virtual]`

Implementation of MatrixStorage::matrixTimesTimes for Dense.

Reimplemented from lama::MatrixStorage< T >.

References lama::DENSE, lama::_MatrixStorage::getFormat(), LAMA_ASSERT_DEBUG, and LAMA_UNSUPPORTED.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::matrixTimesMatrixDense	(	const ValueType	alpha,
		const DenseStorageView< ValueType > &	a,
		const DenseStorageView< ValueType > &	b,
		const ValueType	beta,
		const DenseStorageView< ValueType > &	c
	)		`[private]`

Implementation of matrix times matrix for dense matrices.

References lama::CblasNoTrans, lama::CblasRowMajor, lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::LAMAInterface::getBLAS3Interface(), lama::DenseStorageView< T >::getData(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), LAMA_ASSERT_EQUAL_ERROR, LAMA_CONTEXT_ACCESS, and LAMA_INTERFACE_FN_T.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::matrixTimesScalar	(	const ValueType	alpha,
		const MatrixStorage< ValueType > &	a
	)		`[virtual, inherited]`

Assign this = alpha * a.

The default implementation assigns the matrix a and scales it afterwards.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::matrixTimesVector	(	LAMAArrayView< ValueType >	result,
		const ValueType	alpha,
		const LAMAArrayConstView< ValueType >	x,
		const ValueType	beta,
		const LAMAArrayConstView< ValueType >	y
	)		const `[virtual]`

Implementation of MatrixStorage::matrixTimesVector for Dense.

Reimplemented from lama::MatrixStorage< T >.

References lama::CblasNoTrans, lama::CblasRowMajor, lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::LAMAInterface::getBLAS1Interface(), lama::LAMAInterface::getBLAS2Interface(), LAMA_ASSERT_EQUAL_ERROR, LAMA_ASSERT_ERROR, LAMA_CONTEXT_ACCESS, and lama::LAMAArrayConstView< T >::size().

Referenced by lama::DenseMatrix< T >::matrixTimesVectorImpl().

template<typename ValueType >

std::auto_ptr< SyncToken > lama::MatrixStorage< ValueType >::matrixTimesVectorAsync	(	LAMAArrayView< ValueType >	result,
		const ValueType	alpha,
		const LAMAArrayConstView< ValueType >	x,
		const ValueType	beta,
		const LAMAArrayConstView< ValueType >	y
	)		const `[virtual, inherited]`

This method implements result = alpha * thisMatrix * x + beta * y that is executed asynchronously.

Each matrix storage should provide this kind of matrix-vector multiplication.

A default implementation is provided that does the operation synchronsly and returns a NoSyncToken.

Reimplemented in lama::CSRStorage< T >, and lama::ELLStorage< T >.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::matrixTimesVectorN	(	LAMAArrayView< ValueType >	result,
		const IndexType	n,
		const ValueType	alpha,
		const LAMAArrayConstView< ValueType >	x,
		const ValueType	beta,
		const LAMAArrayConstView< ValueType >	y
	)		const `[virtual, inherited]`

Reimplemented in lama::CSRStorage< T >.

References LAMA_UNSUPPORTED, and lama::CSRStorage< T >::matrixTimesVectorN().

template<typename ValueType >

ValueType lama::DenseStorageView< ValueType >::maxDiffNorm ( const MatrixStorage< ValueType > & other ) [virtual]

Implementation for MatrixStorage::maxDiffNorm.

Reimplemented from lama::MatrixStorage< T >.

References lama::DENSE, lama::_MatrixStorage::getFormat(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), lama::MatrixStorage< T >::getValueType(), LAMA_ASSERT_EQUAL_ERROR, LAMA_ASSERT_ERROR, and LAMA_UNSUPPORTED.

Referenced by lama::MatrixStorage< T >::maxDiffNorm().

template<typename ValueType >

ValueType lama::DenseStorageView< ValueType >::maxDiffNormImpl ( const DenseStorageView< ValueType > & other ) [virtual]

Implementation of maxDiffNorm for dense matrices.

References lama::ReadAccess< T >::get(), LAMA_CONTEXT_ACCESS, LAMA_INTERFACE_FN_DEFAULT_T, and lama::DenseStorageView< T >::mData.

void lama::_MatrixStorage::offsets2sizes ( LAMAArray< IndexType > & offsets ) [static, inherited]

Help routines to convert arrays with sizes to offsets and vice versa.

References lama::WriteAccess< T >::resize(), and lama::_LAMAArray::size().

Referenced by lama::_MatrixStorage::offsets2sizes().

void lama::_MatrixStorage::offsets2sizes	(	LAMAArray< IndexType > &	sizes,
		const LAMAArray< IndexType > &	offsets
	)		`[static, inherited]`

References lama::WriteAccess< T >::clear(), lama::_MatrixStorage::offsets2sizes(), lama::WriteAccess< T >::resize(), and lama::_LAMAArray::size().

void lama::_MatrixStorage::prefetch ( ) const [inline, inherited]

Method that prefetches storage data to its preferred location.

References lama::_MatrixStorage::prefetch().

Referenced by lama::_MatrixStorage::prefetch().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::prefetch ( const ContextPtr location ) const [virtual]

Initiate an asynchronous data transfer to a specified location.

Implements lama::_MatrixStorage.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::print ( ) const

Print dense matrix on output; use it carefully.

References lama::ReadAccess< T >::get().

template<typename T>

virtual void lama::DenseStorageView< T >::purge ( ) [inline, virtual]

Purge clears the matrix and even frees the allocated memory.

Implements lama::_MatrixStorage.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::readFromFile ( const std::string & fileName ) [virtual, inherited]

References lama::_LAMAArray::size().

template<typename T>

void lama::MatrixStorage< ValueType >::redistribute	(	const _MatrixStorage< T > &	other,
		const class Redistributor &	redistributor
	)		`[virtual, inherited]`

This methods assigns a redistributed matrix.

Parameters:

[in]	other	is the local part of the matrix data to redistribute
[in]	redistributor	contains source distribution of other and target distribution of this

References lama::_MatrixStorage::buildCSRData(), lama::Distribution::getLocalSize(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), lama::Redistributor::getSourceDistributionPtr(), lama::Redistributor::getTargetDistributionPtr(), lama::Distribution::isReplicated(), LAMA_ASSERT_EQUAL_ERROR, and lama::_LAMAArray::size().

template<typename T>

void lama::MatrixStorage< ValueType >::replicate	(	const _MatrixStorage< T > &	localData,
		const class Distribution &	rowDist
	)		`[virtual, inherited]`

This routine builds the full matrix storage for a distributed matrix.

This routine is exactly the inverse routine to the localize routine. After this operation this matrix storage will contain on each processor the global matrix data.

References lama::Distribution::getGlobalSize(), lama::Distribution::getLocalSize(), lama::_MatrixStorage::getNumColumns(), lama::_MatrixStorage::getNumRows(), lama::Distribution::isReplicated(), LAMA_ASSERT_EQUAL_ERROR, and lama::_LAMAArray::size().

void lama::_MatrixStorage::resetDiagonalProperty ( ) [inherited]

References lama::_MatrixStorage::checkDiagonalProperty(), and lama::_MatrixStorage::mDiagonalProperty.

Referenced by lama::COOStorage< T >::COOStorage(), lama::ELLStorage< T >::ELLStorage(), and lama::JDSStorage< T >::JDSStorage().

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::scale ( const Scalar value ) [inline, virtual, inherited]

This method scales all matrix values with a scalar.

Parameters:

[in] value is the source value

Implements lama::_MatrixStorage.

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::scale ( const _LAMAArray & diagonal ) [inline, virtual, inherited]

Polymorph implementation for MatrixStorage<T>::scale.

Implements lama::_MatrixStorage.

template<typename ValueType >

template<typename OtherType >

void lama::DenseStorageView< ValueType >::scaleImpl ( const LAMAArray< OtherType > & values )

Template version used for virtual routine scale with known value type.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::scaleImpl ( const Scalar value ) [virtual]

Implementation of pure method.

References lama::WriteAccess< T >::get(), lama::Scalar::getValue(), and lama::OpenMPDenseUtils::scaleValue().

void lama::_MatrixStorage::setCompressThreshold ( float ratio ) [inherited]

Allow for additional row compression.

References LAMA_THROWEXCEPTION, and lama::_MatrixStorage::mCompressThreshold.

Referenced by lama::MatrixStorage< T >::splitHalo().

void lama::_MatrixStorage::setContext ( ContextPtr context ) [inherited]

Set the preferred context for the matrix storage.

Parameters:

[in] context specifies where the storage should be allocated and where operations should be done

References lama::_MatrixStorage::mContext.

Referenced by lama::CSRStorage< T >::CSRStorage(), lama::DenseStorage< T >::DenseStorage(), and lama::ELLStorage< T >::ELLStorage().

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::setCSRData	(	const IndexType	numRows,
		const IndexType	numColumns,
		const IndexType	numValues,
		const LAMAArray< IndexType > &	ia,
		const LAMAArray< IndexType > &	ja,
		const _LAMAArray &	values
	)		`[inline, virtual, inherited]`

Implementation of _MatrixStorage::setCSRData for derived class.

This routine requires that the derived class provides a corresponding routine setCSRDataImpl that can deal with a typed version of values.

Implements lama::_MatrixStorage.

template<typename ValueType >

template<typename OtherValueType >

void lama::DenseStorageView< ValueType >::setCSRDataImpl	(	const IndexType	numRows,
		const IndexType	numColumns,
		const IndexType	numValues,
		const LAMAArray< IndexType > &	ia,
		const LAMAArray< IndexType > &	ja,
		const LAMAArray< OtherValueType > &	values,
		const ContextPtr	loc
	)

fills dense storage by csr sparse data.

Parameters:

[in]	numRows	number of rows
[in]	numColumns	number of columns
[in]	numValues	the number of stored elements in the matrix
[in]	ia	row pointer of the input csr sparse matrix
[in]	ja	column indexes of the input csr sparse matrix
[in]	values	the data values of the input csr sparse matrix

References lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::ContextFactory::getContext(), lama::Context::Host, LAMA_THROWEXCEPTION, lama::OpenMPDenseUtils::setCSRValues(), lama::OpenMPUtils::validIndexes(), and lama::OpenMPCSRUtils::validOffsets().

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::setDiagonal ( const Scalar value ) [inline, virtual, inherited]

Implements lama::_MatrixStorage.

void lama::CRTPMatrixStorage< DenseStorageView< T > , T >::setDiagonal ( const _LAMAArray & diagonal ) [inline, virtual, inherited]

This method sets the diagonal of a matrix storage.

Implementation of this routine must be provided by all derived classes.

Implements lama::_MatrixStorage.

template<typename ValueType >

template<typename OtherType >

void lama::DenseStorageView< ValueType >::setDiagonalImpl ( const LAMAArray< OtherType > & diagonal )

This method replaces the diagonal.

Parameters:

[in] diagonal is the source array

Calculations are dependent to the diagonal property

References lama::ReadAccess< T >::get(), lama::WriteAccess< T >::get(), lama::min(), and lama::OpenMPDenseUtils::setDiagonal().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::setDiagonalImpl ( const Scalar scalar )

Implementation of pure method.

References lama::WriteAccess< T >::get(), lama::Scalar::getValue(), and lama::OpenMPDenseUtils::setDiagonalValue().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::setIdentity ( const IndexType size ) [virtual]

sets data for identity matrix.

Parameters:

[in] size is the size of the square matrix

Implements lama::_MatrixStorage.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::setIdentity ( )

Sets current dense matrix to identity.

References lama::WriteAccess< T >::get(), lama::OpenMPDenseUtils::scaleValue(), lama::OpenMPDenseUtils::setDiagonalValue(), and lama::zero.

template<typename ValueType >

template<typename OtherValueType >

void lama::MatrixStorage< ValueType >::setRawCSRData	(	const IndexType	numRows,
		const IndexType	numColumns,
		const IndexType	numValues,
		const IndexType *const	ia,
		const IndexType *const	ja,
		const OtherValueType *const	values
	)		`[inherited]`

fills matrix storage by csr sparse data.

Parameters:

[in]	numRows	number of rows
[in]	numColumns	number of columns
[in]	numValues	the number of stored elements in the matrix
[in]	ia	row pointer of the input csr sparse matrix
[in]	ja	column indexes of the input csr sparse matrix
[in]	values	the data values of the input csr sparse matrix

Referenced by lama::MatrixCreator< T >::fillRandom().

template<typename ValueType >

template<typename OtherValueType >

template LAMA_DLL_IMPORTEXPORT void lama::MatrixStorage< T >::setRawDenseData	(	const IndexType	numRows,
		const IndexType	numColumns,
		const OtherValueType	values[],
		const ValueType	eps = `0.0`
	)		`[inherited]`

Construct a matrix from a dense matrix in row-major order (C-style).

Values of the matrix will be considered as zero if their absolute value is smaller than eps.

Parameters:

[in]	numRows	number of rows
[in]	numColumns	number of columns
[in]	values	the dense matrix values in row-major order (C-style)
[in]	eps	threshold value for non-zero elements

Sparse matrix formats will have the diagonal property if numRows == numColums

References LAMA_ASSERT_ERROR, and lama::_LAMAArray::size().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::setZero ( )

Sets allocated dense matrix to zero.

References lama::WriteAccess< T >::get(), lama::OpenMPDenseUtils::scaleValue(), and lama::zero.

IndexType lama::_MatrixStorage::sizes2offsets ( LAMAArray< IndexType > & sizes ) [static, inherited]

Utitily to compute the offset array from a sizes array.

References lama::WriteAccess< T >::resize(), and lama::_LAMAArray::size().

Referenced by lama::SparseAssemblyStorage< T >::buildCSR().

template<typename T>

void lama::MatrixStorage< ValueType >::splitHalo	(	MatrixStorage< ValueType > &	localData,
		MatrixStorage< ValueType > &	haloData,
		class Halo &	halo,
		const class Distribution &	colDist,
		const class Distribution *	rowDist
	)		const `[virtual, inherited]`

Splitting of matrix storage for halo.

Parameters:

[out]	localData	will contain all columns owned by this processor
[out]	haloData	will contain all columns not owned by this processor
[out]	halo	will be the exchange schedule
[in]	colDist	specifies the distribution of the columns
[in]	rowDist	optional, localizes the rows before splitting

References lama::_MatrixStorage::allocate(), lama::MatrixStorage< T >::assign(), lama::_MatrixStorage::check(), lama::Distribution::getGlobalSize(), lama::Distribution::getLocalSize(), lama::Distribution::isReplicated(), LAMA_ASSERT_EQUAL, LAMA_ASSERT_EQUAL_DEBUG, lama::MatrixStorage< T >::localize(), lama::_MatrixStorage::setCompressThreshold(), lama::_MatrixStorage::setCSRData(), and lama::_LAMAArray::size().

Referenced by lama::SparseMatrix< T >::set().

template<typename ValueType >

void lama::DenseStorageView< ValueType >::swap ( DenseStorageView< ValueType > & other )

References lama::DenseStorageView< T >::mData, and lama::MatrixStorage< T >::swap().

Referenced by lama::DenseMatrix< T >::redistributeRows().

void lama::_MatrixStorage::swap ( _MatrixStorage & other ) [protected, inherited]

Swaps this with other.

swap is protected to avoid accidently wrong swaps of base classes which do not implement their own swap.

Parameters:

[in,out] other the _MatrixStorage to swap this with

References lama::_MatrixStorage::mCompressThreshold, lama::_MatrixStorage::mContext, lama::_MatrixStorage::mDiagonalProperty, lama::_MatrixStorage::mNumColumns, lama::_MatrixStorage::mNumRows, lama::_MatrixStorage::mRowIndexes, and lama::LAMAArray< T >::swap().

template<typename ValueType >

void lama::MatrixStorage< ValueType >::swap ( MatrixStorage< ValueType > & other ) [protected, inherited]

Swap member variables of base class MatrixStorage<T>

Parameters:

[in,out] other the MatrixStorage to swap this with

swap is protected to avoid accidently wrong swaps of derived classes which do not implement their own swap or where storages of different format or types are involved.

 CSRStorage<float> csr;
 CSRStorage<double> csr1;
 ELLStorage<float> ell;
 csr.swap( ell ); // NOT ALLOWED, different format
 csr.swap( csr1 ); // NOT ALLOWED, different type

References lama::MatrixStorage< T >::mEpsilon.

Referenced by lama::SparseAssemblyStorage< T >::swap(), lama::DenseStorageView< T >::swap(), lama::JDSStorage< T >::swap(), lama::COOStorage< T >::swap(), lama::DIAStorage< T >::swap(), lama::CSRStorage< T >::swap(), and lama::ELLStorage< T >::swap().

template<>

const char * lama::DenseStorageView< float >::typeName ( )

Reimplemented in lama::DenseStorage< T >, lama::DenseStorage< T >, and lama::DenseStorage< T >.

template<>

const char * lama::DenseStorageView< double >::typeName ( )

Reimplemented in lama::DenseStorage< T >, lama::DenseStorage< T >, and lama::DenseStorage< T >.

template<typename T>

static const char* lama::DenseStorageView< T >::typeName ( ) [static]

get typename of the matrix storage format.

Reimplemented in lama::DenseStorage< T >, lama::DenseStorage< T >, and lama::DenseStorage< T >.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::wait ( ) const [virtual]

Will wait for all outstanding asynchronous data transfers.

Implements lama::_MatrixStorage.

template<typename ValueType >

void lama::DenseStorageView< ValueType >::writeAt ( std::ostream & stream ) const [virtual]

Print relevant information about matrix storage format.

Reimplemented from lama::_MatrixStorage.

template<typename ValueType >

void lama::MatrixStorage< ValueType >::writeToFile	(	const std::string &	fileName,
		const File::FileType	fileType = `File::BINARY`,
		const File::DataType	dataType = `File::INTERNAL`,
		const File::IndexDataType	indexDataTypeIA = `File::INT`,
		const File::IndexDataType	indexDataTypeJA = `File::INT`
	)		const `[virtual, inherited]`

get the number of elements left/right of the diagonal for the given row

Parameters:

[in]	row	global Index of row
[out]	left	maximal distance of non-zero element to diagonal from the left
[out]	right	maximal distance of non-zero element to diagonal from the right

Referenced by lama::SparseMatrix< T >::writeToFile().

template<typename ValueType >

void lama::MatrixStorage< ValueType >::writeToFile	(	const PartitionId	size,
		const PartitionId	rank,
		const std::string &	fileName,
		const File::FileType	fileType = `File::BINARY`,
		const File::DataType	dataType = `File::INTERNAL`,
		const File::IndexDataType	indexDataTypeIA = `File::INT`,
		const File::IndexDataType	indexDataTypeJA = `File::INT`
	)		const `[virtual, inherited]`