rocsolver_sgetf2_batched Interface Reference

rocsolver_sgetf2_batched Interface Reference#

HIPFORT API Reference: hipfort_rocsolver::rocsolver_sgetf2_batched Interface Reference

GETF2_BATCHED computes the LU factorization of a batch of general m-by-n matrices using partial pivoting with row interchanges. More...

Public Member Functions
integer(kind(rocblas_status_success)) function	rocsolver_sgetf2_batched_ (handle, m, n, A, lda, ipiv, strideP, myInfo, batch_count)

integer(kind(rocblas_status_success)) function	rocsolver_sgetf2_batched_full_rank (handle, m, n, A, lda, ipiv, strideP, myInfo, batch_count)

integer(kind(rocblas_status_success)) function	rocsolver_sgetf2_batched_rank_0 (handle, m, n, A, lda, ipiv, strideP, myInfo, batch_count)

integer(kind(rocblas_status_success)) function	rocsolver_sgetf2_batched_rank_1 (handle, m, n, A, lda, ipiv, strideP, myInfo, batch_count)

Detailed Description

GETF2_BATCHED computes the LU factorization of a batch of general m-by-n matrices using partial pivoting with row interchanges.

(This is the unblocked Level-2-BLAS version of the algorithm. An optimized internal implementation without rocBLAS calls could be executed with small and mid-size matrices if optimizations are enabled (default option). For more details, see the "Tuning rocSOLVER performance" section of the Library Design Guide).

The factorization of matrix \(A_i\) in the batch has the form

\[ A_i = P_iL_iU_i \]

where \(P_i\) is a permutation matrix, \(L_i\) is lower triangular with unit diagonal elements (lower trapezoidal if m > n), and \(U_i\) is upper triangular (upper trapezoidal if m < n).

Parameters

[in]	handle	rocblas_handle.
[in]	m	rocblas_int. m >= 0. The number of rows of all matrices A_i in the batch.
[in]	n	rocblas_int. n >= 0. The number of columns of all matrices A_i in the batch.
[in,out]	A	array of pointers to type. Each pointer points to an array on the GPU of dimension lda*n. On entry, the m-by-n matrices A_i to be factored. On exit, the factors L_i and U_i from the factorizations. The unit diagonal elements of L_i are not stored.
[in]	lda	rocblas_int. lda >= m. Specifies the leading dimension of matrices A_i.
[out]	ipiv	pointer to rocblas_int. Array on the GPU (the size depends on the value of strideP). Contains the vectors of pivot indices ipiv_i (corresponding to A_i). Dimension of ipiv_i is min(m,n). Elements of ipiv_i are 1-based indices. For each instance A_i in the batch and for 1 <= j <= min(m,n), the row j of the matrix A_i was interchanged with row ipiv_i[j]. Matrix P_i of the factorization can be derived from ipiv_i.
[in]	strideP	rocblas_stride. Stride from the start of one vector ipiv_i to the next one ipiv_(i+1). There is no restriction for the value of strideP. Normal use case is strideP >= min(m,n).
[out]	info	pointer to rocblas_int. Array of batch_count integers on the GPU. If info[i] = 0, successful exit for factorization of A_i. If info[i] = j > 0, U_i is singular. U_i[j,j] is the first zero pivot.
[in]	batch_count	rocblas_int. batch_count >= 0. Number of matrices in the batch.

Member Function/Subroutine Documentation