rocsparse_scsr2bsr Interface Reference

rocsparse_scsr2bsr Interface Reference#

HIPFORT API Reference: hipfort_rocsparse::rocsparse_scsr2bsr Interface Reference
hipfort_rocsparse::rocsparse_scsr2bsr Interface Reference

Convert a sparse CSR matrix into a sparse BSR matrix. More...

Public Member Functions

integer(kind(rocsparse_status_success)) function rocsparse_scsr2bsr_ (handle, dir, m, n, csr_descr, csr_val, csr_row_ptr, csr_col_ind, block_dim, bsr_descr, bsr_val, bsr_row_ptr, bsr_col_ind)
 
integer(kind(rocsparse_status_success)) function rocsparse_scsr2bsr_rank_0 (handle, dir, m, n, csr_descr, csr_val, csr_row_ptr, csr_col_ind, block_dim, bsr_descr, bsr_val, bsr_row_ptr, bsr_col_ind)
 
integer(kind(rocsparse_status_success)) function rocsparse_scsr2bsr_rank_1 (handle, dir, m, n, csr_descr, csr_val, csr_row_ptr, csr_col_ind, block_dim, bsr_descr, bsr_val, bsr_row_ptr, bsr_col_ind)
 

Detailed Description

Convert a sparse CSR matrix into a sparse BSR matrix.

rocsparse_csr2bsr converts a CSR matrix into a BSR matrix. It is assumed that bsr_val, bsr_col_ind, and bsr_row_ptr are allocated. The allocation size for bsr_row_ptr is computed as mb+1, where mb is the number of block rows and nb is the number of block columns in the BSR matrix:

\[ mb = (m + block\_dim - 1) / block\_dim \\% nb = (n + block\_dim - 1) / block\_dim \]

The allocation size for bsr_val and bsr_col_ind is computed using rocsparse_csr2bsr_nnz (), which also fills in bsr_row_ptr.

Converting from a sparse CSR matrix to a sparse BSR matrix requires two steps. First, allocate the bsr_row_ptr array to have length mb+1 and pass this to the function rocsparse_csr2bsr_nnz. This will fill the bsr_row_ptr array and also compute the total number of non-zero blocks in the BSR matrix. Now that the total number of non-zero blocks is known, allocate the bsr_col_ind and bsr_val arrays. Finally, call rocsparse_csr2bsr to complete the conversion. See the example below.

rocsparse_csr2bsr requires extra temporary storage that is allocated internally if block_dim>16.

Note
This function is blocking with respect to the host.
This routine does not support execution in a hipGraph context.
Parameters
[in]handle- handle to the rocSPARSE library context queue.
[in]dir- the storage format of the blocks, rocsparse_direction_row or rocsparse_direction_column.
[in]m- number of rows in the sparse CSR matrix.
[in]n- number of columns in the sparse CSR matrix.
[in]csr_descr- descriptor of the sparse CSR matrix. Currently, only rocsparse_matrix_type_general is supported.
[in]csr_val- array of nnz elements containing the values of the sparse CSR matrix.
[in]csr_row_ptr- array of m+1 elements that point to the start of every row of the sparse CSR matrix.
[in]csr_col_ind- array of nnz elements containing the column indices of the sparse CSR matrix.
[in]block_dim- size of the blocks in the sparse BSR matrix.
[in]bsr_descr- descriptor of the sparse BSR matrix. Currently, only rocsparse_matrix_type_general is supported.
[out]bsr_val- array of nnzb*block_dim*block_dim containing the values of the sparse BSR matrix.
[out]bsr_row_ptr- array of mb+1 elements that point to the start of every block row of the sparse BSR matrix.
[out]bsr_col_ind- array of nnzb elements containing the block column indices of the sparse BSR matrix.
Return values
rocsparse_status_successthe operation completed successfully.
rocsparse_status_invalid_handlethe library context was not initialized.
rocsparse_status_invalid_sizem, n, or block_dim is invalid.
rocsparse_status_invalid_pointerbsr_val, bsr_row_ptr, bsr_col_ind, csr_val, csr_row_ptr, or csr_col_ind pointer is invalid.
Example
This example converts a CSR matrix into an BSR matrix.

Member Function/Subroutine Documentation

◆ rocsparse_scsr2bsr_()

integer(kind(rocsparse_status_success)) function hipfort_rocsparse::rocsparse_scsr2bsr::rocsparse_scsr2bsr_ ( type(c_ptr), value  handle,
integer(kind(rocsparse_direction_row)), value  dir,
integer(c_int), value  m,
integer(c_int), value  n,
type(c_ptr), value  csr_descr,
type(c_ptr), value  csr_val,
type(c_ptr), value  csr_row_ptr,
type(c_ptr), value  csr_col_ind,
integer(c_int), value  block_dim,
type(c_ptr), value  bsr_descr,
type(c_ptr), value  bsr_val,
type(c_ptr), value  bsr_row_ptr,
type(c_ptr), value  bsr_col_ind 
)

◆ rocsparse_scsr2bsr_rank_0()

integer(kind(rocsparse_status_success)) function hipfort_rocsparse::rocsparse_scsr2bsr::rocsparse_scsr2bsr_rank_0 ( type(c_ptr)  handle,
integer(kind(rocsparse_direction_row))  dir,
integer(c_int)  m,
integer(c_int)  n,
type(c_ptr)  csr_descr,
real(c_float), target  csr_val,
integer(c_int), target  csr_row_ptr,
integer(c_int), target  csr_col_ind,
integer(c_int)  block_dim,
type(c_ptr)  bsr_descr,
real(c_float), target  bsr_val,
integer(c_int), target  bsr_row_ptr,
integer(c_int), target  bsr_col_ind 
)

◆ rocsparse_scsr2bsr_rank_1()

integer(kind(rocsparse_status_success)) function hipfort_rocsparse::rocsparse_scsr2bsr::rocsparse_scsr2bsr_rank_1 ( type(c_ptr)  handle,
integer(kind(rocsparse_direction_row))  dir,
integer(c_int)  m,
integer(c_int)  n,
type(c_ptr)  csr_descr,
real(c_float), dimension(:), target  csr_val,
integer(c_int), dimension(:), target  csr_row_ptr,
integer(c_int), dimension(:), target  csr_col_ind,
integer(c_int)  block_dim,
type(c_ptr)  bsr_descr,
real(c_float), dimension(:), target  bsr_val,
integer(c_int), dimension(:), target  bsr_row_ptr,
integer(c_int), dimension(:), target  bsr_col_ind 
)

The documentation for this interface was generated from the following file: