#include <OperationMultiEvalStreamingModOCLUnified.hpp>

Inheritance diagram for sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >:

Public Member Functions
double	getDuration ()

void	mult (sgpp::base::DataVector &alpha, sgpp::base::DataVector &result) override
	Multiplication of \(B^T\) with vector \(\alpha\). More...

void	multTranspose (sgpp::base::DataVector &source, sgpp::base::DataVector &result) override
	Multiplication of \(B\) with vector \(\alpha\). More...

	OperationMultiEvalStreamingModOCLUnified (base::Grid &grid, base::DataMatrix &dataset, std::shared_ptr< base::OCLManagerMultiPlatform > manager, std::shared_ptr< base::OCLOperationConfiguration > parameters)

void	prepare () override
	Used for kernel-specific setup like special data structures that are defined from the current state of the grid. More...

	~OperationMultiEvalStreamingModOCLUnified ()

Public Member Functions inherited from sgpp::base::OperationMultipleEval
void	eval (DataVector &alpha, DataVector &result)
	Evaluate multiple datapoints with the specified grid. More...

virtual std::string	getImplementationName ()
	Name of this implementation of the operation. More...

virtual void	mult (DataVector &alpha, DataVector &result, size_t startIndexData, size_t endIndexData)
	Multiplication of \(B^T\) with vector \(\alpha\). More...

virtual void	multTranspose (DataVector &source, DataVector &result, size_t startIndexGrid, size_t endIndexGrid)
	Multiplication of \(B\) with vector \(\alpha\). More...

	OperationMultipleEval (sgpp::base::Grid &grid, DataMatrix &dataset)
	Constructor. More...

virtual	~OperationMultipleEval ()
	Destructor. More...

Protected Attributes
size_t	datasetSizePadded

size_t	datasetSizeUnpadded

std::vector< std::shared_ptr< base::OCLDevice > >	devices

size_t	dims

double	duration

size_t	gridSizePadded

size_t	gridSizeUnpadded

std::vector< T >	index

std::vector< T >	kernelDataset

std::vector< T >	level

std::shared_ptr< base::OCLManagerMultiPlatform >	manager

std::vector< StreamingModOCLUnified::KernelMult< T > >	multKernels

std::vector< StreamingModOCLUnified::KernelMultTranspose< T > >	multTransposeKernels

sgpp::base::SGppStopwatch	myTimer
	Timer object to handle time measurements. More...

size_t	overallDataBlockingSize

size_t	overallGridBlockingSize

std::shared_ptr< base::OCLOperationConfiguration >	parameters

sgpp::base::DataMatrix	preparedDataset

std::shared_ptr< sgpp::base::QueueLoadBalancerOpenMP >	queueLoadBalancerMult

std::shared_ptr< sgpp::base::QueueLoadBalancerOpenMP >	queueLoadBalancerMultTrans

std::vector< T >	scaling

base::GridStorage &	storage

bool	verbose

Protected Attributes inherited from sgpp::base::OperationMultipleEval
DataMatrix &	dataset

Grid &	grid

bool	isPrepared

Constructor & Destructor Documentation

◆ OperationMultiEvalStreamingModOCLUnified()

template<typename T>

sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::OperationMultiEvalStreamingModOCLUnified	(	base::Grid &	grid,
		base::DataMatrix &	dataset,
		std::shared_ptr< base::OCLManagerMultiPlatform >	manager,
		std::shared_ptr< base::OCLOperationConfiguration >	parameters
	)

inline

References sgpp::datadriven::StreamingModOCLUnified::Configuration::getKernelName(), sgpp::base::DataMatrix::getNcols(), sgpp::base::DataMatrix::getNrows(), sgpp::base::DataMatrix::getSize(), python.statsfileInfo::i, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::multTransposeKernels, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::prepare(), sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::queueLoadBalancerMultTrans, and sgpp::base::DataMatrix::transpose().

◆ ~OperationMultiEvalStreamingModOCLUnified()

template<typename T>

sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::~OperationMultiEvalStreamingModOCLUnified ( )

inline

Member Function Documentation

◆ getDuration()

template<typename T>

double sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::getDuration ( )

inlinevirtual

Implements sgpp::base::OperationMultipleEval.

References sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::duration.

◆ mult()

template<typename T>

void sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::mult	(	sgpp::base::DataVector &	alpha,
		sgpp::base::DataVector &	result
	)

inlineoverridevirtual

Multiplication of \(B^T\) with vector \(\alpha\).

Parameters

alpha	vector, to which \(B\) is applied. Typically the coefficient vector
result	the result vector of the matrix vector multiplication

Implements sgpp::base::OperationMultipleEval.

References sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::datasetSizePadded, sgpp::base::DataVector::getSize(), sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::gridSizePadded, python.statsfileInfo::i, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::prepare(), sgpp::base::SGppStopwatch::start(), python.leja::start, and sgpp::base::SGppStopwatch::stop().

◆ multTranspose()

template<typename T>

void sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::multTranspose	(	sgpp::base::DataVector &	source,
		sgpp::base::DataVector &	result
	)

inlineoverridevirtual

Multiplication of \(B\) with vector \(\alpha\).

Parameters

source	vector, to which \(B^T\) is applied. Typically the coefficient vector
result	the result vector of the matrix vector multiplication

Implements sgpp::base::OperationMultipleEval.

References sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::datasetSizePadded, sgpp::base::DataVector::getSize(), sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::gridSizePadded, python.statsfileInfo::i, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::multTransposeKernels, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::prepare(), sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::queueLoadBalancerMultTrans, sgpp::base::SGppStopwatch::start(), python.leja::start, and sgpp::base::SGppStopwatch::stop().

◆ prepare()

template<typename T>

void sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::prepare ( )

inlineoverridevirtual

Used for kernel-specific setup like special data structures that are defined from the current state of the grid.

This function is by default called with each "mult()", "multTranspose()" or evaluation operation and can be ignored from an external perspective. This is not overridden by every kernel.

Reimplemented from sgpp::base::OperationMultipleEval.

References sgpp::base::OperationMultipleEval::dataset, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::datasetSizePadded, chess::dim, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::dims, sgpp::base::HashGridPoint::get(), sgpp::base::HashGridStorage::getDimension(), sgpp::datadriven::StreamingModOCLUnified::Configuration::getKernelName(), sgpp::base::DataMatrix::getNcols(), sgpp::base::DataMatrix::getNrows(), sgpp::base::HashGridStorage::getPoint(), sgpp::base::DataMatrix::getRow(), sgpp::base::HashGridStorage::getSize(), sgpp::base::Grid::getStorage(), sgpp::base::OperationMultipleEval::grid, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::gridSizePadded, python.statsfileInfo::i, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::multTransposeKernels, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >::overallGridBlockingSize, sgpp::base::DataMatrix::resize(), and sgpp::base::DataMatrix::setRow().