When the matrix descriptor is created, its fields are initialized to:
CUSPARSE_MATRIX_TYPE_GENERAL
CUSPARSE_INDEX_BASE_ZERO
All other fields are uninitialized
Description: Matrix-vector multiplication y = alpha * op(A) * x + beta * y,
where A is a sparse matrix in BSR storage format, x and y are dense vectors.
Description: Matrix-vector multiplication y = alpha * op(A) * x + beta * y,
where A is a sparse matrix in extended BSR storage format, x and y are dense
vectors.
Description: Compute the incomplete-Cholesky factorization with 0 fill-in (IC0)
based on the information in the opaque structure info that was obtained
from the analysis phase (csrsv_analysis).
Description: Compute the incomplete-LU factorization with 0 fill-in (ILU0)
based on the information in the opaque structure info that was obtained
from the analysis phase (csrsv_analysis).
Description: Matrix-vector multiplication y = alpha * op(A) * x + beta * y,
where A is a sparse matrix in CSR storage format, x and y are dense vectors.
Description: Solution of triangular linear system op(A) * Y = alpha * X,
with multiple right-hand-sides, where A is a sparse matrix in CSR storage
format, X and Y are dense and usually tall matrices.
Description: Matrix-vector multiplication y = alpha * op(A) * x + beta * y,
where A is a sparse matrix in HYB storage format, x and y are dense vectors.