sgpp::base::LinearLoadBalancer Class Reference

#include <LinearLoadBalancer.hpp>

Public Member Functions
void	getPartitionSegments (size_t start, size_t end, size_t blockSize, size_t *segmentStart, size_t *segmentEnd)
	LinearLoadBalancer (std::shared_ptr< OCLManager > manager, std::shared_ptr< base::OCLOperationConfiguration > parameters)
void	update (double *timings)
	~LinearLoadBalancer ()

Constructor & Destructor Documentation

LinearLoadBalancer()

sgpp::base::LinearLoadBalancer::LinearLoadBalancer ( std::shared_ptr< OCLManager >  manager, std::shared_ptr< base::OCLOperationConfiguration >  parameters  )

inline

References python.statsfileInfo::i.

~LinearLoadBalancer()

sgpp::base::LinearLoadBalancer::~LinearLoadBalancer ( )

inline

Member Function Documentation

getPartitionSegments()

void sgpp::base::LinearLoadBalancer::getPartitionSegments ( size_t  start, size_t  end, size_t  blockSize, size_t *  segmentStart, size_t *  segmentEnd  )

inline

References python.statsfileInfo::i, and python.leja::start.

Referenced by sgpp::datadriven::StreamingBSplineOCLKernelImpl< T >::mult(), and sgpp::datadriven::StreamingBSplineOCLKernelImpl< T >::multTranspose().

update()

void sgpp::base::LinearLoadBalancer::update ( double *  timings )

inline

References python.statsfileInfo::i.

Referenced by sgpp::datadriven::StreamingBSplineOCLKernelImpl< T >::mult(), sgpp::datadriven::StreamingBSplineOCLKernelImpl< T >::multTranspose(), python.uq.refinement.RefinementStrategy.Ranking::rank(), and python.learner.LearnedKnowledge.LearnedKnowledge::setMemento().

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

• base/src/sgpp/base/opencl/LinearLoadBalancer.hpp