Kokkos::PackedSparseMultiply< OrdinalType, ScalarType > Class Template Reference

Kokkos::PackedSparseMultiply: A reference class for computing sparse matrix multiplication operations. More...

#include <Kokkos_PackedSparseMultiply.hpp>

Inheritance diagram for Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >:

[legend]Collaboration diagram for Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >:

[legend]List of all members.

Public Member Functions
Constructors/Destructor
	PackedSparseMultiply ()
	PackedSparseMultiply constuctor with variable number of indices per row.
	PackedSparseMultiply (const PackedSparseMultiply &source)
	Copy constructor.
virtual	~PackedSparseMultiply ()
	PackedSparseMultiply Destructor.
Abstract Kokkos::CisMatrix Interface Initialization Methods
virtual int	initializeStructure (const CisMatrix< OrdinalType, ScalarType > &A, bool willKeepStructure=false)
	Initialize structure of matrix.
virtual int	initializeValues (const CisMatrix< OrdinalType, ScalarType > &A, bool willKeepValues=false, bool checkStructure=false)
	Initialize values of matrix.
Computational methods
virtual int	apply (const Vector< OrdinalType, ScalarType > &x, Vector< OrdinalType, ScalarType > &y, bool transA=false, bool conjA=false) const
	Returns the result of a Kokkos_PackedSparseMultiply multiplied by a vector x in y.
virtual int	apply (const MultiVector< OrdinalType, ScalarType > &x, MultiVector< OrdinalType, ScalarType > &y, bool transA=false, bool conjA=false) const
	Returns the result of a Kokkos_PackedSparseMultiply multiplied by multiple vectors in x, results in y.
Operator attribute access methods
virtual bool	getCanUseStructure () const
	Returns false for this implementation.
virtual bool	getCanUseValues () const
	Returns false for this implementation.
virtual const CisMatrix< OrdinalType, ScalarType > &	getMatrix () const
	Returns a reference to the most recent Kokkos::CisMatrix that was passed into the this object.
Protected Types
typedef EntryStruct	Entry
Protected Member Functions
void	copyEntries ()
void	deleteStructureAndValues ()
Protected Attributes
CisMatrix< OrdinalType, ScalarType > *	matrixForStructure_
CisMatrix< OrdinalType, ScalarType > *	matrixForValues_
bool	isRowOriented_
bool	haveStructure_
bool	haveValues_
bool	hasUnitDiagonal_
OrdinalType	numRows_
OrdinalType	numCols_
OrdinalType	numRC_
OrdinalType	numEntries_
OrdinalType *	profile_
double	costOfMatVec_
Entry *	allEntries_

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Detailed Description

template<typename OrdinalType, typename ScalarType>
class Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >

Kokkos::PackedSparseMultiply: A reference class for computing sparse matrix multiplication operations.

The Kokkos::PackedSparseMultiply provide basic functionality for computing sparse matrix times vector, or sparse matrix times multivector operations. This class is templated on the ordinal (integer) and scalar (floating point) types, so it can compute using any reasonable data type.

Constructing Kokkos::PackedSparseMultiply objects

Constructing Kokkos::PackedSparseMultiply objects is a multi-step process. The basic steps are as follows:

1. Create Kokkos::PackedSparseMultiply instance: The constructor takes no arguments.
2. Register the structure of a Kokkos::CisMatrix object using initializeStructure(): We provide this method so that derived implementations can take advantage of multiple problems that have the same structure. In this situation, initializeStructure() would be called once and then initializeValues() would be called repeatedly, amortizing the cost of setting up the structure. This method may be called only once.
3. Register the values of a Kokkos::CisMatrix object using initializeValues(): This method is used to pass values to the multiply class. It can be called repeatedly if multiple matrices have the same structure.

Counting Floating Point Operations

Each Kokkos::PackedSparseMultiply object keeps track of the number of floating point operations performed using the specified object as the this argument to the function. The getFlops() function returns this number as a double precision number. Using this information, in conjunction with the Kokkos::Time class, one can get accurate performance numbers. The resetFlops() function resets the floating point counter.

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Member Function Documentation

template<typename OrdinalType, typename ScalarType> int Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >::apply (  const MultiVector< OrdinalType, ScalarType > &  x, MultiVector< OrdinalType, ScalarType > &  y, bool  transA = false, bool  conjA = false )  const [virtual]

Returns the result of a Kokkos_PackedSparseMultiply multiplied by multiple vectors in x, results in y. Parameters: x  (In) A Kokkos::MultiVector to multiply by. y  (Out) A Kokkos::MultiVector containing results. transA  (In) If true, multiply by the transpose of matrix, otherwise just use matrix. conjA  (In) If true, multiply by the conjugate of matrix values, otherwise just use matrix values. Returns: Integer error code, set to 0 if successful. Implements Kokkos::SparseOperation< OrdinalType, ScalarType >.

template<typename OrdinalType, typename ScalarType> int Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >::apply (  const Vector< OrdinalType, ScalarType > &  x, Vector< OrdinalType, ScalarType > &  y, bool  transA = false, bool  conjA = false )  const [virtual]

Returns the result of a Kokkos_PackedSparseMultiply multiplied by a vector x in y. Parameters: x  (In) A Kokkos::Vector to multiply by. y  (Out) A Kokkos::Vector containing results. transA  (In) If true, multiply by the transpose of matrix, otherwise just use matrix. conjA  (In) If true, multiply by the conjugate of matrix values, otherwise just use matrix values. Returns: Integer error code, set to 0 if successful. Implements Kokkos::SparseOperation< OrdinalType, ScalarType >.

template<typename OrdinalType, typename ScalarType> virtual bool Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >::getCanUseStructure (   )  const [inline, virtual]

Returns false for this implementation. This implementation will not use the user's copy of the matrix structure. Implements Kokkos::SparseOperation< OrdinalType, ScalarType >.

template<typename OrdinalType, typename ScalarType> virtual bool Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >::getCanUseValues (   )  const [inline, virtual]

Returns false for this implementation. This implementation will not use the user's copy of the matrix values. Implements Kokkos::SparseOperation< OrdinalType, ScalarType >.

template<typename OrdinalType, typename ScalarType> int Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >::initializeStructure (  const CisMatrix< OrdinalType, ScalarType > &  A, bool  willKeepStructure = false )  [virtual]

Initialize structure of matrix. This interface supports matrices that implement the Kokkos::CisMatrix matrix interface. Parameters: A  (In) An instance of a class that implements the Kokkos::CisMatrix. All necessary information about the matrix can be obtained via this interface. willKeepStructure  (In) This argument is unused by this implementation of the BaseSparseMultiply class since structure and values will be copied. Returns: Integer error code, set to 0 if successful. Implements Kokkos::SparseOperation< OrdinalType, ScalarType >.

template<typename OrdinalType, typename ScalarType> int Kokkos::PackedSparseMultiply< OrdinalType, ScalarType >::initializeValues (  const CisMatrix< OrdinalType, ScalarType > &  A, bool  willKeepValues = false, bool  checkStructure = false )  [virtual]

Initialize values of matrix. This interface supports matrices that implement the Kokkos::CisMatrix matrix interface. Parameters: A  (In) An instance of a class that implements the Kokkos::CisMatrix. All necessary information about the matrix can be obtained via this interface. willKeepValues  (In) This argument is unused by this implementation of the BaseSparseMultiply class since structure and values will be copied. checkStructure  (In) If set to true, the structure of A will be checked against the structure of the matrix passed in to the initializeStructure() methods. This parameter is false by default. Returns: Integer error code, set to 0 if successful, returns - 1 if checkStructure is true and structure is changed. Implements Kokkos::SparseOperation< OrdinalType, ScalarType >.

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

• Kokkos_PackedSparseMultiply.hpp

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