1 #ifndef VIENNACL_LINALG_MISC_OPERATIONS_HPP_
2 #define VIENNACL_LINALG_MISC_OPERATIONS_HPP_
32 #ifdef VIENNACL_WITH_OPENCL
36 #ifdef VIENNACL_WITH_CUDA
48 template<
typename ScalarType>
67 #ifdef VIENNACL_WITH_OPENCL
72 #ifdef VIENNACL_WITH_CUDA
Exception class in case of memory errors.
Implementation of the dense matrix class.
This file provides the forward declarations for the main types used within ViennaCL.
void level_scheduling_substitute(viennacl::vector< NumericT > &vec, std::list< viennacl::backend::mem_handle > const &row_index_arrays, std::list< viennacl::backend::mem_handle > const &row_buffers, std::list< viennacl::backend::mem_handle > const &col_buffers, std::list< viennacl::backend::mem_handle > const &element_buffers, std::list< vcl_size_t > const &row_elimination_num_list)
Implementations of miscellaneous operations on the CPU using a single thread or OpenMP.
Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them.
Implementations of operations using compressed_matrix and OpenCL.
void level_scheduling_substitute(vector< NumericT > &x, viennacl::backend::mem_handle const &row_index_array, viennacl::backend::mem_handle const &row_buffer, viennacl::backend::mem_handle const &col_buffer, viennacl::backend::mem_handle const &element_buffer, vcl_size_t num_rows)
The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...
void level_scheduling_substitute(vector< NumericT > &vec, viennacl::backend::mem_handle const &row_index_array, viennacl::backend::mem_handle const &row_buffer, viennacl::backend::mem_handle const &col_buffer, viennacl::backend::mem_handle const &element_buffer, vcl_size_t num_rows)
Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...
viennacl::backend::mem_handle & handle(T &obj)
Returns the generic memory handle of an object. Non-const version.
void level_scheduling_substitute(vector< NumericT > &vec, viennacl::backend::mem_handle const &row_index_array, viennacl::backend::mem_handle const &row_buffer, viennacl::backend::mem_handle const &col_buffer, viennacl::backend::mem_handle const &element_buffer, vcl_size_t num_rows)
Implementations of miscellaneous operations using CUDA.
Implementation of the ViennaCL scalar class.
memory_types get_active_handle_id() const
Returns an ID for the currently active memory buffer. Other memory buffers might contain old or no da...