# hipblaszsyrkstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblaszsyrkstridedbatched Interface Reference
hipfort_hipblas::hipblaszsyrkstridedbatched Interface Reference

BLAS Level 3 API. More...

## Public Member Functions

integer(kind(hipblas_status_success)) function hipblaszsyrkstridedbatched_ (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount)

integer(kind(hipblas_status_success)) function hipblaszsyrkstridedbatched_full_rank (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount)

integer(kind(hipblas_status_success)) function hipblaszsyrkstridedbatched_rank_0 (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount)

integer(kind(hipblas_status_success)) function hipblaszsyrkstridedbatched_rank_1 (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount)

## Detailed Description

BLAS Level 3 API.

syrkStridedBatched performs a batch of the matrix-matrix operations for a symmetric rank-k update

C_i := alpha*op( A_i )*op( A_i )^T + beta*C_i

where alpha and beta are scalars, op(A_i) is an n by k matrix, and C_i is a symmetric n x n matrix stored as either upper or lower.

op( A_i ) = A_i, and A_i is n by k if transA == HIPBLAS_OP_N
op( A_i ) = A_i^T and A_i is k by n if transA == HIPBLAS_OP_T

Parameters
 [in] handle [hipblasHandle_t] handle to the hipblas library context queue. [in] uplo [hipblasFillMode_t] HIPBLAS_FILL_MODE_UPPER: C_i is an upper triangular matrix HIPBLAS_FILL_MODE_LOWER: C_i is a lower triangular matrix [in] transA [hipblasOperation_t] HIPBLAS_OP_T: op(A) = A^T HIPBLAS_OP_N: op(A) = A HIPBLAS_OP_C: op(A) = A^T

HIPBLAS_OP_C is not supported for complex types, see cherk and zherk.

Parameters
 [in] n [int] n specifies the number of rows and columns of C_i. n >= 0. [in] k [int] k specifies the number of columns of op(A). k >= 0. [in] alpha alpha specifies the scalar alpha. When alpha is zero then A is not referenced and A need not be set before entry. [in] A Device pointer to the first matrix A_1 on the GPU of dimension (lda, k) when transA is HIPBLAS_OP_N, otherwise of dimension (lda, n) [in] lda [int] lda specifies the first dimension of A_i. if transA = HIPBLAS_OP_N, lda >= max( 1, n ), otherwise lda >= max( 1, k ). [in] strideA [hipblasStride] stride from the start of one matrix (A_i) and the next one (A_i+1) [in] beta beta specifies the scalar beta. When beta is zero then C need not be set before entry. [in] C Device pointer to the first matrix C_1 on the GPU. on the GPU. [in] ldc [int] ldc specifies the first dimension of C. ldc >= max( 1, n ). [in,out] strideC [hipblasStride] stride from the start of one matrix (C_i) and the next one (C_i+1) [in] batchCount [int] number of instances in the batch.

## ◆ hipblaszsyrkstridedbatched_()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsyrkstridedbatched::hipblaszsyrkstridedbatched_ ( type(c_ptr), value handle, integer(kind(hipblas_fill_mode_upper)), value uplo, integer(kind(hipblas_op_n)), value transA, integer(c_int), value n, integer(c_int), value k, complex(c_double_complex) alpha, type(c_ptr), value A, integer(c_int), value lda, integer(c_int64_t), value strideA, complex(c_double_complex) beta, type(c_ptr), value C, integer(c_int), value ldc, integer(c_int64_t), value strideC, integer(c_int), value batchCount )

## ◆ hipblaszsyrkstridedbatched_full_rank()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsyrkstridedbatched::hipblaszsyrkstridedbatched_full_rank ( type(c_ptr) handle, integer(kind(hipblas_fill_mode_upper)) uplo, integer(kind(hipblas_op_n)) transA, integer(c_int) n, integer(c_int) k, complex(c_double_complex) alpha, complex(c_double_complex), dimension(:,:), target A, integer(c_int) lda, integer(c_int64_t) strideA, complex(c_double_complex) beta, complex(c_double_complex), dimension(:,:), target C, integer(c_int) ldc, integer(c_int64_t) strideC, integer(c_int) batchCount )

## ◆ hipblaszsyrkstridedbatched_rank_0()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsyrkstridedbatched::hipblaszsyrkstridedbatched_rank_0 ( type(c_ptr) handle, integer(kind(hipblas_fill_mode_upper)) uplo, integer(kind(hipblas_op_n)) transA, integer(c_int) n, integer(c_int) k, complex(c_double_complex) alpha, complex(c_double_complex), target A, integer(c_int) lda, integer(c_int64_t) strideA, complex(c_double_complex) beta, complex(c_double_complex), target C, integer(c_int) ldc, integer(c_int64_t) strideC, integer(c_int) batchCount )

## ◆ hipblaszsyrkstridedbatched_rank_1()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsyrkstridedbatched::hipblaszsyrkstridedbatched_rank_1 ( type(c_ptr) handle, integer(kind(hipblas_fill_mode_upper)) uplo, integer(kind(hipblas_op_n)) transA, integer(c_int) n, integer(c_int) k, complex(c_double_complex) alpha, complex(c_double_complex), dimension(:), target A, integer(c_int) lda, integer(c_int64_t) strideA, complex(c_double_complex) beta, complex(c_double_complex), dimension(:), target C, integer(c_int) ldc, integer(c_int64_t) strideC, integer(c_int) batchCount )

The documentation for this interface was generated from the following file: