Inspector-Executor Sparse BLAS Execution Routines

Execution Routines and Their Data Types
Routine or Function Group	Data Types	Description
mkl_sparse_?_lu_smoother	s, d, c, z	Computes an action of a preconditioner which corresponds to the approximate matrix decomposition A ≈ (L+D)E(U+D) for the system Ax = b
mkl_sparse_?_mv	s, d, c, z	Computes a sparse matrix-vector product.
mkl_sparse_?_ trsv	s, d, c, z	Solves a system of linear equations for a square sparse matrix.
mkl_sparse_?_mm	s, d, c, z	Computes the product of a sparse matrix and a dense matrix and stores the result as a dense matrix.
mkl_sparse_?_trsm	s, d, c, z	Solves a system of linear equations with multiple right-hand sides for a square sparse matrix.
mkl_sparse_?_add	s, d, c, z	Computes the sum of two sparse matrices. The result is stored in a newly allocated sparse matrix.
mkl_sparse_spmm	s, d, c, z	Computes the product of two sparse matrices and stores the result in a newly allocated sparse matrix.
mkl_sparse_?_spmmd	s, d, c, z	Computes the product of two sparse matrices and stores the result as a dense matrix.
mkl_sparse_sp2m	s, d, c, z	Computes the product of two sparse matrices (support operations on both matrices) and stores the result in a newly allocated sparse matrix.
mkl_sparse_?_sp2md	s, d, c, z	Computes the product of two sparse matrices (support operations on both matrices) and stores the result as a dense matrix.
mkl_sparse_sypr	s, d, c, z	Computes the symmetric product of three sparse matrices and stores the result in a newly allocated sparse matrix.
mkl_sparse_?_syprd	s, d, c, z	Computes the symmetric triple product of a sparse matrix and a dense matrix and stores the result as a dense matrix.
mkl_sparse_?_symgs	s, d, c, z	Computes an action of a symmetric Gauss-Seidel preconditioner.
mkl_sparse_?_symgs_mv	s, d, c, z	Computes an action of a symmetric Gauss-Seidel preconditioner followed by a matrix-vector multiplication at the end.
mkl_sparse_?_syrkd	s, d, c, z	Computes the product of sparse matrix with its transpose (or conjugate transpose) and stores the result as a dense matrix.
mkl_sparse_syrk	s, d, c, z	Computes the product of a sparse matrix with its transpose (or conjugate transpose) and stores the result in a newly allocated sparse matrix.
mkl_sparse_?_dotmv	s, d, c, z	Computes a sparse matrix-vector product followed by a dot product.