ViennaCL - The Vienna Computing Library  1.5.1
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sparse_matrix_operations_solve.hpp File Reference

Implementations of direct triangular solvers for sparse matrices using CUDA. More...

#include "viennacl/forwards.h"

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Namespaces

 viennacl
 Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them.
 
 viennacl::linalg
 Provides all linear algebra operations which are not covered by operator overloads.
 
 viennacl::linalg::cuda
 Holds all CUDA compute kernels used by ViennaCL.
 

Functions

template<typename T >
__global__ void csr_unit_lu_forward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_lu_forward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_unit_lu_backward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_lu_backward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_trans_lu_forward_kernel2 (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_trans_unit_lu_forward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_trans_lu_forward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, const T *diagonal_entries, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_trans_unit_lu_backward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_trans_lu_backward_kernel2 (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, const T *diagonal_entries, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_trans_lu_backward_kernel (const unsigned int *row_indices, const unsigned int *column_indices, const T *elements, const T *diagonal_entries, T *vector, unsigned int size)
 
template<typename T >
__global__ void csr_block_trans_unit_lu_forward (const unsigned int *row_jumper_L, const unsigned int *column_indices_L, const T *elements_L, const unsigned int *block_offsets, T *result, unsigned int size)
 
template<typename T >
__global__ void csr_block_trans_lu_backward (const unsigned int *row_jumper_U, const unsigned int *column_indices_U, const T *elements_U, const T *diagonal_U, const unsigned int *block_offsets, T *result, unsigned int size)
 

Detailed Description

Implementations of direct triangular solvers for sparse matrices using CUDA.