sgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T > Class Template Reference

Kernel that provide the transposed MultiEval operation \(v':= B v\) for a single OpenCL device. More...

#include <KernelMultTranspose.hpp>

Public Member Functions
double	getBuildDuration ()
	KernelMultTranspose (std::shared_ptr< base::OCLDevice > device, size_t dims, std::shared_ptr< base::OCLManagerMultiPlatform > manager, json::Node &kernelConfiguration, std::shared_ptr< base::QueueLoadBalancerOpenMP > queueBalancerMultTranspose)
	Constructs a new KernelMultTranspose object. More...
double	multTranspose (std::vector< T > &level, std::vector< T > &index, std::vector< T > &dataset, std::vector< T > &source, std::vector< T > &result, const size_t start_index_data, const size_t end_index_data)
	Perform the transposed MultiEval operator \(v':= B v\) with the device this kernel manages. More...
	~KernelMultTranspose ()
	Destructor. More...

Detailed Description

template<typename T>
class sgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T >

Kernel that provide the transposed MultiEval operation \(v':= B v\) for a single OpenCL device.

This class manages the OpenCL data structures required for a OpenCL kernel invocation. To that end, it makes heavy use of OpenCL buffer abstraction. It makes use of a queue of work packages to find out whether still device has any remaining work available. For the creation of the device-side compute kernel code, a code generator is used.

See also

base::OCLBufferWrapperSD

base::QueueLoadBalancer

SourceBuilderMultTranspose

Constructor & Destructor Documentation

KernelMultTranspose()

template<typename T>

sgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T >::KernelMultTranspose ( std::shared_ptr< base::OCLDevice >  device, size_t  dims, std::shared_ptr< base::OCLManagerMultiPlatform >  manager, json::Node &  kernelConfiguration, std::shared_ptr< base::QueueLoadBalancerOpenMP >  queueBalancerMultTranspose  )

inline

Constructs a new KernelMultTranspose object.

Parameters

device	The OpenCL device this kernel instance manages
dims	Dimensionality of the problem
manager	The OpenCL manager to reduce OpenCL boilerplate
kernelConfiguration	The configuration of this specific device
queueBalancerMultTranspose	Load balance for query work from for the device

References json::Node::getBool(), and json::Node::getUInt().

~KernelMultTranspose()

template<typename T>

sgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T >::~KernelMultTranspose ( )

inline

Destructor.

Member Function Documentation

getBuildDuration()

template<typename T>

double sgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T >::getBuildDuration ( )

inline

Returns

The time it took to compile the OpenCL kernel code

References dataset, python.statsfileInfo::i, sgpp::base::OCLBufferWrapperSD< T >::intializeTo(), and level.

multTranspose()

template<typename T>

double sgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T >::multTranspose ( std::vector< T > &  level, std::vector< T > &  index, std::vector< T > &  dataset, std::vector< T > &  source, std::vector< T > &  result, const size_t  start_index_data, const size_t  end_index_data  )

inline

Perform the transposed MultiEval operator \(v':= B v\) with the device this kernel manages.

Has additional, currently unused parameters to enable further MPI parallelization in the future.

Parameters

level	Vector containing the d-dimensional levels of the grid, the order matches the index vector
index	Vector containing the d-dimensional indices of the grid, the order matches the level vector
dataset	Vector containing the d-dimensional data points
source	Vector \(v\)
result	The results vector \(v'\) of the operation
start_index_data	start of range of data points to work on, currently not used
end_index_data	end of range of data points to work on, currently not used

References sgpp::datadriven::StreamingOCLMultiPlatform::SourceBuilderMultTranspose< real_type >::generateSource(), sgpp::base::OCLBufferWrapperSD< T >::getBuffer(), sgpp::base::OCLBufferWrapperSD< T >::getHostPointer(), python.statsfileInfo::i, sgpp::base::OCLBufferWrapperSD< T >::readFromBuffer(), and python.leja::start.

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

• datadriven/src/sgpp/datadriven/operation/hash/OperationMultipleEvalStreamingOCLMultiPlatform/KernelMultTranspose.hpp