lama::ELLUtilsInterface::Mult< ValueType > Struct Template Reference

Define structure for multiplication routines. More...

#include <LAMAInterface.hpp>

Public Types
typedef void(*	normalGEMV )(ValueType result[], const ValueType alpha, const ValueType x[], const ValueType beta, const ValueType y[], const IndexType numRows, const IndexType numNonZerosPerRows, const IndexType ellIA[], const IndexType ellJA[], const ValueType ellValues[], class SyncToken *syncToken)
	result = alpha * ELL-Matrix * x + b * y.
typedef void(*	sparseGEMV )(ValueType result[], const IndexType numRows, const IndexType numNonZerosPerRows, const ValueType alpha, const ValueType x[], const IndexType numNonZeroRows, const IndexType rowIndexes[], const IndexType ellIA[], const IndexType ellJA[], const ValueType ellValues[], class SyncToken *syncToken)
	result = alpha * ELL-Matrix * x, CSR matrix has only some non-zero rows

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Detailed Description

template<typename ValueType>
struct lama::ELLUtilsInterface::Mult< ValueType >

Define structure for multiplication routines.

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Member Typedef Documentation

template<typename ValueType >

typedef void( * lama::ELLUtilsInterface::Mult< ValueType >::normalGEMV)(ValueType result[], const ValueType alpha, const ValueType x[], const ValueType beta, const ValueType y[], const IndexType numRows, const IndexType numNonZerosPerRows, const IndexType ellIA[], const IndexType ellJA[], const ValueType ellValues[], class SyncToken *syncToken)

result = alpha * ELL-Matrix * x + b * y.

Parameters:

result	is the result vector
alpha	is scaling factor for matrix x vector
x	is input vector for matrix multiplication
beta	is scaling factor for additional vector
y	is additional input vector to add
numRows	is number of elements for all vectors and rows of matrix
ellIA,ellJA,csrValues	are arrays of ELL storage
syncToken	optional, if available starts asynchronous computation

template<typename ValueType >

typedef void( * lama::ELLUtilsInterface::Mult< ValueType >::sparseGEMV)(ValueType result[], const IndexType numRows, const IndexType numNonZerosPerRows, const ValueType alpha, const ValueType x[], const IndexType numNonZeroRows, const IndexType rowIndexes[], const IndexType ellIA[], const IndexType ellJA[], const ValueType ellValues[], class SyncToken *syncToken)

result = alpha * ELL-Matrix * x, CSR matrix has only some non-zero rows

Parameters:

result	is the result vector
alpha	is scaling factor for matrix x vector
x	is input vector for matrix multiplication
numNonZeroRows	is size of rowIndexes
rowIndexes	are indexes of non-empty rows in matrix
ellIA,ellJA,csrValues	are arrays of ELL storage
syncToken	optional, if available starts asynchronous computation

Note: this routine does not provide the term 'beta * y' as it would require to run over the full result vector

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

• /home/brandes/workspace/LAMA/src/lama/LAMAInterface.hpp