This type indicates if the matrix diagonal entries are unity. The diagonal elements are always assumed to be present, but if CUSPARSE_DIAG_TYPE_UNIT is passed to an API routine, then the routine will assume that all diagonal entries are unity and will not read or modify those entries. Note that in this case the routine assumes the diagonal entries are equal to one, regardless of what those entries are actuall set to in memory.

cusparseDirection

This type indicates whether the elements of a dense matrix should be parsed by rows or by columns (assuming column-major storage in memory of the dense matrix).

cusparseFillMode

This type indicates if the lower or upper part of a matrix is stored in sparse storage.

cusparseHybPartition

This type indicates how to perform the partitioning of the matrix into regular (ELL) and irregular (COO) parts of the HYB format.

The partitioning is performed during the conversion of the matrix from a dense or sparse format into the HYB format and is governed by the following rules. When CUSPARSE_HYB_PARTITION_AUTO is selected, the CUSPARSE library automatically decides how much data to put into the regular and irregular parts of the HYB format. When CUSPARSE_HYB_PARTITION_USER is selected, the width of the regular part of the HYB format should be specified by the caller. When CUSPARSE_HYB_PARTITION_MAX is selected, the width of the regular part of the HYB format equals to the maximum number of non-zero elements per row, in other words, the entire matrix is stored in the regular part of the HYB format.

The default is to let the library automatically decide how to split the data.

cusparseIndexBase

This type indicates if the base of the matrix indices is zero or one.

cusparseMatrixType

This type indicates the type of matrix stored in sparse storage. Notice that for symmetric, Hermitian and triangular matrices only their lower or upper part is assumed to be stored.

cusparseOperation

This type indicates which operations need to be performed with the sparse matrix.

cusparsePointerMode

This type indicates whether the scalar values are passed by reference on the host or device. It is important to point out that if several scalar values are passed by reference in the function call, all of them will conform to the same single pointer mode. The pointer mode can be set and retrieved using SetPointerMode(cusparsePointerMode) and GetPointerMode() routines, respectively.