Developer Reference for Intel® oneAPI Math Kernel Library for C
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mkl_sparse_set_sorv_hint
Sets an estimate of the number and type of upcoming mkl_sparse_?_sorv operations.
Syntax
sparse_status_t  mkl_sparse_set_sorv_hint(
    const sparse_sor_type_t type,
    const sparse_matrix_t A,
    const struct matrix_descr descr,
    const MKL_INT expected_calls
);
       
  Include Files
- mkl_spblas.h
 
Description
Use the mkl_sparse_set_sorv_hint routine to provide the Inspector-Executor Sparse BLAS API an estimate of the number of upcoming forward/backward sweeps or symmetric SOR preconditioner operations for performance optimization.
Product and Performance Information  |  
       
|---|
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201  |  
       
Input Parameters
- type
 -  
     
Specifies the operation performed by the SORV preconditioner.
SPARSE_SOR_FORWARD
Performs forward sweep as defined by:
 
         
SPARSE_SOR_BACKWARD
Performs backward sweep as defined by:
 
         
SPARSE_SOR_SYMMETRIC
Preconditioner matrix could be expressed as:
 
         
 - 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.
 - A
 -  
     
Handle containing internal data.
 - expected_calls
 -  
     
Estimate of the number of calls to the 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.  |  
     
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.  |  
     
SPARSE_STATUS_NOT_SUPPORTED  |  
      The requested operation is not supported.  |