A sparse square matrix in compressed sparse rows format. More...
#include <compressed_matrix.hpp>
Public Types | |
typedef viennacl::backend::mem_handle | handle_type |
typedef scalar< typename viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT< NumericT >::ResultType > | value_type |
typedef vcl_size_t | size_type |
Public Member Functions | |
compressed_matrix () | |
Default construction of a compressed matrix. No memory is allocated. More... | |
compressed_matrix (vcl_size_t rows, vcl_size_t cols, vcl_size_t nonzeros=0, viennacl::context ctx=viennacl::context()) | |
Construction of a compressed matrix with the supplied number of rows and columns. If the number of nonzeros is positive, memory is allocated. More... | |
compressed_matrix (vcl_size_t rows, vcl_size_t cols, viennacl::context ctx) | |
Construction of a compressed matrix with the supplied number of rows and columns. If the number of nonzeros is positive, memory is allocated. More... | |
compressed_matrix (viennacl::context ctx) | |
Creates an empty compressed_matrix, but sets the respective context information. More... | |
compressed_matrix (matrix_expression< const compressed_matrix, const compressed_matrix, op_prod > const &proxy) | |
Assignment a compressed matrix from the product of two compressed_matrix objects (C = A * B). More... | |
compressed_matrix & | operator= (compressed_matrix const &other) |
Assignment a compressed matrix from possibly another memory domain. More... | |
compressed_matrix & | operator= (matrix_expression< const compressed_matrix, const compressed_matrix, op_prod > const &proxy) |
Assignment a compressed matrix from the product of two compressed_matrix objects (C = A * B). More... | |
void | set (const void *row_jumper, const void *col_buffer, const NumericT *elements, vcl_size_t rows, vcl_size_t cols, vcl_size_t nonzeros) |
Sets the row, column and value arrays of the compressed matrix. More... | |
void | reserve (vcl_size_t new_nonzeros, bool preserve=true) |
Allocate memory for the supplied number of nonzeros in the matrix. Old values are preserved. More... | |
void | resize (vcl_size_t new_size1, vcl_size_t new_size2, bool preserve=true) |
Resize the matrix. More... | |
void | clear () |
Resets all entries in the matrix back to zero without changing the matrix size. Resets the sparsity pattern. More... | |
entry_proxy< NumericT > | operator() (vcl_size_t i, vcl_size_t j) |
Returns a reference to the (i,j)-th entry of the sparse matrix. If (i,j) does not exist (zero), it is inserted (slow!) More... | |
const vcl_size_t & | size1 () const |
Returns the number of rows. More... | |
const vcl_size_t & | size2 () const |
Returns the number of columns. More... | |
const vcl_size_t & | nnz () const |
Returns the number of nonzero entries. More... | |
const vcl_size_t & | blocks1 () const |
Returns the internal number of row blocks for an adaptive SpMV. More... | |
const handle_type & | handle1 () const |
Returns the OpenCL handle to the row index array. More... | |
const handle_type & | handle2 () const |
Returns the OpenCL handle to the column index array. More... | |
const handle_type & | handle3 () const |
Returns the OpenCL handle to the row block array. More... | |
const handle_type & | handle () const |
Returns the OpenCL handle to the matrix entry array. More... | |
handle_type & | handle1 () |
Returns the OpenCL handle to the row index array. More... | |
handle_type & | handle2 () |
Returns the OpenCL handle to the column index array. More... | |
handle_type & | handle3 () |
Returns the OpenCL handle to the row block array. More... | |
handle_type & | handle () |
Returns the OpenCL handle to the matrix entry array. More... | |
void | switch_memory_context (viennacl::context new_ctx) |
Switches the memory context of the matrix. More... | |
viennacl::memory_types | memory_context () const |
Returns the current memory context to determine whether the matrix is set up for OpenMP, OpenCL, or CUDA. More... | |
void | generate_row_block_information () |
Builds the row block information needed for fast sparse matrix-vector multiplications. More... | |
A sparse square matrix in compressed sparse rows format.
NumericT | The floating point type (either float or double, checked at compile time) |
AlignmentV | The internal memory size for the entries in each row is given by (size()/AlignmentV + 1) * AlignmentV. AlignmentV must be a power of two. Best values or usually 4, 8 or 16, higher values are usually a waste of memory. |
Definition at line 559 of file compressed_matrix.hpp.
typedef viennacl::backend::mem_handle viennacl::compressed_matrix< NumericT, AlignmentV >::handle_type |
Definition at line 562 of file compressed_matrix.hpp.
typedef vcl_size_t viennacl::compressed_matrix< NumericT, AlignmentV >::size_type |
Definition at line 564 of file compressed_matrix.hpp.
typedef scalar<typename viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT<NumericT>::ResultType> viennacl::compressed_matrix< NumericT, AlignmentV >::value_type |
Definition at line 563 of file compressed_matrix.hpp.
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inline |
Default construction of a compressed matrix. No memory is allocated.
Definition at line 567 of file compressed_matrix.hpp.
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inlineexplicit |
Construction of a compressed matrix with the supplied number of rows and columns. If the number of nonzeros is positive, memory is allocated.
rows | Number of rows |
cols | Number of columns |
nonzeros | Optional number of nonzeros for memory preallocation |
ctx | Optional context in which the matrix is created (one out of multiple OpenCL contexts, CUDA, host) |
Definition at line 576 of file compressed_matrix.hpp.
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inlineexplicit |
Construction of a compressed matrix with the supplied number of rows and columns. If the number of nonzeros is positive, memory is allocated.
rows | Number of rows |
cols | Number of columns |
ctx | Context in which to create the matrix |
Definition at line 610 of file compressed_matrix.hpp.
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inlineexplicit |
Creates an empty compressed_matrix, but sets the respective context information.
This is useful if you want to want to populate e.g. a viennacl::compressed_matrix<> on the host with copy(), but the default backend is OpenCL.
Definition at line 637 of file compressed_matrix.hpp.
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Assignment a compressed matrix from the product of two compressed_matrix objects (C = A * B).
Definition at line 691 of file compressed_matrix.hpp.
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Returns the internal number of row blocks for an adaptive SpMV.
Definition at line 926 of file compressed_matrix.hpp.
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Resets all entries in the matrix back to zero without changing the matrix size. Resets the sparsity pattern.
Definition at line 881 of file compressed_matrix.hpp.
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Builds the row block information needed for fast sparse matrix-vector multiplications.
Required when manually populating the memory buffers with values. Not necessary when using viennacl::copy() or .set()
Definition at line 992 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the matrix entry array.
Definition at line 935 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the matrix entry array.
Definition at line 944 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the row index array.
Definition at line 929 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the row index array.
Definition at line 938 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the column index array.
Definition at line 931 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the column index array.
Definition at line 940 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the row block array.
Definition at line 933 of file compressed_matrix.hpp.
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Returns the OpenCL handle to the row block array.
Definition at line 942 of file compressed_matrix.hpp.
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Returns the current memory context to determine whether the matrix is set up for OpenMP, OpenCL, or CUDA.
Definition at line 959 of file compressed_matrix.hpp.
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Returns the number of nonzero entries.
Definition at line 924 of file compressed_matrix.hpp.
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Returns a reference to the (i,j)-th entry of the sparse matrix. If (i,j) does not exist (zero), it is inserted (slow!)
Definition at line 895 of file compressed_matrix.hpp.
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Assignment a compressed matrix from possibly another memory domain.
Definition at line 716 of file compressed_matrix.hpp.
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Assignment a compressed matrix from the product of two compressed_matrix objects (C = A * B).
Definition at line 735 of file compressed_matrix.hpp.
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Allocate memory for the supplied number of nonzeros in the matrix. Old values are preserved.
Definition at line 790 of file compressed_matrix.hpp.
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Resize the matrix.
new_size1 | New number of rows |
new_size2 | New number of columns |
preserve | If true, the old values are preserved. At present, old values are always discarded. |
Definition at line 825 of file compressed_matrix.hpp.
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Sets the row, column and value arrays of the compressed matrix.
Type of row_jumper and col_buffer is 'unsigned int' for CUDA and OpenMP (host) backend, but must be cl_uint for OpenCL. The reason is that 'unsigned int' might have a different bit representation on the host than 'unsigned int' on the OpenCL device. cl_uint is guaranteed to have the correct bit representation for OpenCL devices.
row_jumper | Pointer to an array holding the indices of the first element of each row (starting with zero). E.g. row_jumper[10] returns the index of the first entry of the 11th row. The array length is 'cols + 1' |
col_buffer | Pointer to an array holding the column index of each entry. The array length is 'nonzeros' |
elements | Pointer to an array holding the entries of the sparse matrix. The array length is 'elements' |
rows | Number of rows of the sparse matrix |
cols | Number of columns of the sparse matrix |
nonzeros | Number of nonzeros |
Definition at line 760 of file compressed_matrix.hpp.
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Returns the number of rows.
Definition at line 920 of file compressed_matrix.hpp.
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Returns the number of columns.
Definition at line 922 of file compressed_matrix.hpp.
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Switches the memory context of the matrix.
Allows for e.g. an migration of the full matrix from OpenCL memory to host memory for e.g. computing a preconditioner.
Definition at line 950 of file compressed_matrix.hpp.