rocsolver_sgesv_strided_batched Interface Reference#
hipfort_rocsolver::rocsolver_sgesv_strided_batched Interface Reference
GESV_STRIDED_BATCHED solves a batch of general systems of n linear equations on n variables. More...
Public Member Functions | |
integer(kind(rocblas_status_success)) function | rocsolver_sgesv_strided_batched_ (handle, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batch_count) |
integer(kind(rocblas_status_success)) function | rocsolver_sgesv_strided_batched_full_rank (handle, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batch_count) |
integer(kind(rocblas_status_success)) function | rocsolver_sgesv_strided_batched_rank_0 (handle, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batch_count) |
integer(kind(rocblas_status_success)) function | rocsolver_sgesv_strided_batched_rank_1 (handle, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batch_count) |
Detailed Description
GESV_STRIDED_BATCHED solves a batch of general systems of n linear equations on n variables.
The linear systems are of the form
\[ A_j X_j = B_j \]
where \(A_j\) is a general n-by-n matrix. Matrix \(A_j\) is first factorized in triangular factors \(L_j\) and \(U_j\) using GETRF_STRIDED_BATCHED; then, the solutions are computed with GETRS_STRIDED_BATCHED.
- Parameters
-
[in] handle rocblas_handle. [in] n rocblas_int. n >= 0.
The order of the system, i.e. the number of columns and rows of all A_j matrices.[in] nrhs rocblas_int. nrhs >= 0.
The number of right hand sides, i.e., the number of columns of all the matrices B_j.[in] A pointer to type. Array on the GPU (the size depends on the value of strideA).
On entry, the matrices A_j. On exit, if info_j = 0, the factors L_j and U_j of the LU decomposition of A_j returned by GETRF_STRIDED_BATCHED.[in] lda rocblas_int. lda >= n.
The leading dimension of matrices A_j.[in] strideA rocblas_stride.
Stride from the start of one matrix A_j to the next one A_(j+1). There is no restriction for the value of strideA. Normal use case is strideA >= lda*n.[out] ipiv pointer to rocblas_int. Array on the GPU (the size depends on the value of strideP).
The vectors ipiv_j of pivot indices returned by GETRF_STRIDED_BATCHED.[in] strideP rocblas_stride.
Stride from the start of one vector ipiv_j to the next one ipiv_(j+1). There is no restriction for the value of strideP. Normal use case is strideP >= n.[in,out] B pointer to type. Array on the GPU (size depends on the value of strideB).
On entry, the right hand side matrices B_j. On exit, the solution matrix X_j of each system in the batch.[in] ldb rocblas_int. ldb >= n.
The leading dimension of matrices B_j.[in] strideB rocblas_stride.
Stride from the start of one matrix B_j to the next one B_(j+1). There is no restriction for the value of strideB. Normal use case is strideB >= ldb*nrhs.[out] info pointer to rocblas_int. Array of batch_count integers on the GPU.
If info[j] = 0, successful exit for A_j. If info[i] = j > 0, U_i is singular, and the solution could not be computed. U_j[i,i] is the first zero element in the diagonal.[in] batch_count rocblas_int. batch_count >= 0.
Number of instances (systems) in the batch.
Member Function/Subroutine Documentation
◆ rocsolver_sgesv_strided_batched_()
integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_sgesv_strided_batched::rocsolver_sgesv_strided_batched_ | ( | type(c_ptr), value | handle, |
integer(c_int), value | n, | ||
integer(c_int), value | nrhs, | ||
type(c_ptr), value | A, | ||
integer(c_int), value | lda, | ||
integer(c_int64_t), value | strideA, | ||
type(c_ptr), value | ipiv, | ||
integer(c_int64_t), value | strideP, | ||
type(c_ptr), value | B, | ||
integer(c_int), value | ldb, | ||
integer(c_int64_t), value | strideB, | ||
integer(c_int) | myInfo, | ||
integer(c_int), value | batch_count | ||
) |
◆ rocsolver_sgesv_strided_batched_full_rank()
integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_sgesv_strided_batched::rocsolver_sgesv_strided_batched_full_rank | ( | type(c_ptr) | handle, |
integer(c_int) | n, | ||
integer(c_int) | nrhs, | ||
real(c_float), dimension(:,:), target | A, | ||
integer(c_int) | lda, | ||
integer(c_int64_t) | strideA, | ||
integer(c_int), dimension(:), target | ipiv, | ||
integer(c_int64_t) | strideP, | ||
real(c_float), dimension(:,:), target | B, | ||
integer(c_int) | ldb, | ||
integer(c_int64_t) | strideB, | ||
integer(c_int) | myInfo, | ||
integer(c_int) | batch_count | ||
) |
◆ rocsolver_sgesv_strided_batched_rank_0()
integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_sgesv_strided_batched::rocsolver_sgesv_strided_batched_rank_0 | ( | type(c_ptr) | handle, |
integer(c_int) | n, | ||
integer(c_int) | nrhs, | ||
real(c_float), target | A, | ||
integer(c_int) | lda, | ||
integer(c_int64_t) | strideA, | ||
integer(c_int), target | ipiv, | ||
integer(c_int64_t) | strideP, | ||
real(c_float), target | B, | ||
integer(c_int) | ldb, | ||
integer(c_int64_t) | strideB, | ||
integer(c_int) | myInfo, | ||
integer(c_int) | batch_count | ||
) |
◆ rocsolver_sgesv_strided_batched_rank_1()
integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_sgesv_strided_batched::rocsolver_sgesv_strided_batched_rank_1 | ( | type(c_ptr) | handle, |
integer(c_int) | n, | ||
integer(c_int) | nrhs, | ||
real(c_float), dimension(:), target | A, | ||
integer(c_int) | lda, | ||
integer(c_int64_t) | strideA, | ||
integer(c_int), dimension(:), target | ipiv, | ||
integer(c_int64_t) | strideP, | ||
real(c_float), dimension(:), target | B, | ||
integer(c_int) | ldb, | ||
integer(c_int64_t) | strideB, | ||
integer(c_int) | myInfo, | ||
integer(c_int) | batch_count | ||
) |
The documentation for this interface was generated from the following file: