rocsolver_sgesv_strided_batched Interface Reference

rocsolver_sgesv_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocsolver::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]handlerocblas_handle.
[in]nrocblas_int. n >= 0.
The order of the system, i.e. the number of columns and rows of all A_j matrices.
[in]nrhsrocblas_int. nrhs >= 0.
The number of right hand sides, i.e., the number of columns of all the matrices B_j.
[in]Apointer 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]ldarocblas_int. lda >= n.
The leading dimension of matrices A_j.
[in]strideArocblas_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]ipivpointer 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]strideProcblas_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]Bpointer 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]ldbrocblas_int. ldb >= n.
The leading dimension of matrices B_j.
[in]strideBrocblas_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]infopointer 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_countrocblas_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: