Developer Reference for Intel® oneAPI Math Kernel Library for C
mkl_sparse_set_mm_hint
Provides estimate of number and type of upcoming matrix-matrix multiplication operations.
Syntax
sparse_status_t mkl_sparse_set_mm_hint (const sparse_matrix_t A, const sparse_operation_t operation, const struct matrix_descr descr, const sparse_layout_t layout, const MKL_INT dense_matrix_size, const MKL_INT expected_calls);
Include Files
- mkl_spblas.h
 
Description
The mkl_sparse_set_mm_hint routine provides an estimate of the number of upcoming matrix-matrix multiplication operations and type of these operations for performance optimization purposes.
Product and Performance Information  |  
       
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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201  |  
       
Input Parameters
- operation
 -  
     
Specifies operation op() on input matrix.
SPARSE_OPERATION_NON_TRANSPOSE
Non-transpose, op(A) = A.
SPARSE_OPERATION_TRANSPOSE
Transpose, op(A) = AT.
SPARSE_OPERATION_CONJUGATE_TRANSPOSE
Conjugate transpose, op(A) = AH.
 - descr
 -  
     
Structure specifying sparse matrix properties.
sparse_matrix_type_t type - Specifies the type of a sparse matrix:
SPARSE_MATRIX_TYPE_GENERAL
The matrix is processed as is.
SPARSE_MATRIX_TYPE_SYMMETRIC
The matrix is symmetric (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_HERMITIAN
The matrix is Hermitian (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_TRIANGULAR
The matrix is triangular (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_DIAGONAL
The matrix is diagonal (only diagonal elements are processed).
SPARSE_MATRIX_TYPE_BLOCK_TRIANGULAR
The matrix is block-triangular (only requested triangle is processed). Applies to BSR format only.
SPARSE_MATRIX_TYPE_BLOCK_DIAGONAL
The matrix is block-diagonal (only diagonal blocks are processed). Applies to BSR format only.
sparse_fill_mode_t mode - Specifies the triangular matrix part for symmetric, Hermitian, triangular, and block-triangular matrices:
SPARSE_FILL_MODE_LOWER
The lower triangular matrix part is processed.
SPARSE_FILL_MODE_UPPER
The upper triangular matrix part is processed.
sparse_diag_type_t diag - Specifies diagonal type for non-general matrices:
SPARSE_DIAG_NON_UNIT
Diagonal elements might not be equal to one.
SPARSE_DIAG_UNIT
Diagonal elements are equal to one.  - layout
 -  
     
Specifies layout of elements:
SPARSE_LAYOUT_COLUMN_MAJOR
Storage of elements uses column major layout.
SPARSE_LAYOUT_ROW_MAJOR
Storage of elements uses row major layout.
 - dense_matrix_size
 -  
     
Number of columns in dense matrix.
 - expected_calls
 -  
     
Number of expected calls to execution routine.
 
Output Parameters
- A
 -  
     
Handle containing internal data.
 
Return Values
The function returns a value indicating whether the operation was successful or not, and why.
SPARSE_STATUS_SUCCESS  |  
      The operation was successful or an additional optimization is currently not available.  |  
     
SPARSE_STATUS_NOT_INITIALIZED  |  
      The routine encountered an empty handle or matrix array.  |  
     
SPARSE_STATUS_ALLOC_FAILED  |  
      Internal memory allocation failed.  |  
     
SPARSE_STATUS_INVALID_VALUE  |  
      The input parameters contain an invalid value.  |  
     
SPARSE_STATUS_EXECUTION_FAILED  |  
      Execution failed.  |  
     
SPARSE_STATUS_INTERNAL_ERROR  |  
      An error in algorithm implementation occurred.  |