/data/development/ViennaCL/dev/viennacl/compressed_matrix.hpp File Reference

Implementation of the compressed_matrix class. More...

#include <vector>
#include <list>
#include <map>
#include "viennacl/forwards.h"
#include "viennacl/ocl/backend.hpp"
#include "viennacl/vector.hpp"
#include "viennacl/linalg/compressed_matrix_operations.hpp"
#include "viennacl/tools/tools.hpp"

Go to the source code of this file.

Data Structures
class	compressed_matrix< SCALARTYPE, ALIGNMENT >
	A sparse square matrix in compressed sparse rows format. More...
Namespaces
namespace	viennacl
Functions
template<typename CPU_MATRIX , typename SCALARTYPE , unsigned int ALIGNMENT>
void	copy (const CPU_MATRIX &cpu_matrix, compressed_matrix< SCALARTYPE, ALIGNMENT > &gpu_matrix)
	Copies a sparse matrix from the host to the OpenCL device (either GPU or multi-core CPU).
template<typename SCALARTYPE , unsigned int ALIGNMENT>
void	copy (const std::vector< std::map< unsigned int, SCALARTYPE > > &cpu_matrix, compressed_matrix< SCALARTYPE, ALIGNMENT > &gpu_matrix)
	Copies a sparse matrix in the std::vector< std::map < > > format to an OpenCL device.
template<typename CPU_MATRIX , typename SCALARTYPE , unsigned int ALIGNMENT>
void	copy (const compressed_matrix< SCALARTYPE, ALIGNMENT > &gpu_matrix, CPU_MATRIX &cpu_matrix)
	Copies a sparse matrix from the OpenCL device (either GPU or multi-core CPU) to the host.
template<typename SCALARTYPE , unsigned int ALIGNMENT>
void	copy (const compressed_matrix< SCALARTYPE, ALIGNMENT > &gpu_matrix, std::vector< std::map< unsigned int, SCALARTYPE > > &cpu_matrix)
	Copies a sparse matrix from an OpenCL device to the host. The host type is the std::vector< std::map < > > format .

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Detailed Description

Implementation of the compressed_matrix class.