|
ViennaCL - The Vienna Computing Library
1.5.1
|
Implementation of the compressed_compressed_matrix class (CSR format with a relatively small number of nonzero rows) More...
#include <vector>#include <list>#include <map>#include "viennacl/forwards.h"#include "viennacl/vector.hpp"#include "viennacl/linalg/sparse_matrix_operations.hpp"#include "viennacl/tools/tools.hpp"#include "viennacl/tools/entry_proxy.hpp"Go to the source code of this file.
Data Structures | |
| class | compressed_compressed_matrix< SCALARTYPE > |
| A sparse square matrix in compressed sparse rows format optimized for the case that only a few rows carry nonzero entries. More... | |
Namespaces | |
| namespace | viennacl |
Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them. | |
| namespace | viennacl::detail |
Holds implementation details for functionality in the main viennacl-namespace. Not intended for direct use by library users. | |
Functions | |
| template<typename CPU_MATRIX , typename SCALARTYPE > | |
| void | copy_impl (const CPU_MATRIX &cpu_matrix, compressed_compressed_matrix< SCALARTYPE > &gpu_matrix, vcl_size_t nonzero_rows, vcl_size_t nonzeros) |
| template<typename CPU_MATRIX , typename SCALARTYPE > | |
| void | copy (const CPU_MATRIX &cpu_matrix, compressed_compressed_matrix< SCALARTYPE > &gpu_matrix) |
| Copies a sparse matrix from the host to the OpenCL device (either GPU or multi-core CPU) | |
| template<typename SizeType , typename SCALARTYPE > | |
| void | copy (const std::vector< std::map< SizeType, SCALARTYPE > > &cpu_matrix, compressed_compressed_matrix< SCALARTYPE > &gpu_matrix) |
| Copies a sparse square matrix in the std::vector< std::map < > > format to an OpenCL device. Use viennacl::tools::sparse_matrix_adapter for non-square matrices. | |
| template<typename CPU_MATRIX , typename SCALARTYPE > | |
| void | copy (const compressed_compressed_matrix< SCALARTYPE > &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 > | |
| void | copy (const compressed_compressed_matrix< SCALARTYPE > &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 . | |
Implementation of the compressed_compressed_matrix class (CSR format with a relatively small number of nonzero rows)
1.7.6.1