hipblasssyrkxbatched Interface Reference

hipblasssyrkxbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblasssyrkxbatched Interface Reference
hipfort_hipblas::hipblasssyrkxbatched Interface Reference

BLAS Level 3 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblasssyrkxbatched_ (handle, uplo, transa, n, k, alpha, ap, lda, bp, ldb, beta, cp, ldc, batchcount)
 

Detailed Description

BLAS Level 3 API.

The syrkxBatched functions perform a batch of the matrix-matrix operations for a symmetric rank-k update:

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

where alpha and beta are scalars, op(A_i) and op(B_i) are an n by k matrix, and C_i is a symmetric n x n matrix stored as either upper or lower. This routine should only be used when the caller can guarantee that the result of op( A_i )*op( B_i )^T will be symmetric.

op( A_i ) = A_i, op( B_i ) = B_i, and A_i and B_i are n by k if trans == HIPBLAS_OP_N
op( A_i ) = A_i^T, op( B_i ) = B_i^T, and A_i and B_i are k by n if trans ==
HIPBLAS_OP_T
  • Supported precisions in rocBLAS : s, d, c, and z.
  • Supported precisions in cuBLAS : No support.
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_i ) = A_i^T, op( B_i ) = B_i^T
  • HIPBLAS_OP_N: op( A_i ) = A_i, op( B_i ) = B_i
[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]alphaalpha specifies the scalar alpha. When alpha is zero, then A is not referenced and A does not need to be set before entry.
[in]AP- device array of device pointers storing each matrix_i A of dimension (lda, k) when trans is HIPBLAS_OP_N. Otherwise, of dimension (lda, n).
[in]lda- [int] lda specifies the first dimension of A_i. If trans = HIPBLAS_OP_N, lda >= max( 1, n ). Otherwise, lda >= max( 1, k ).
[in]BP- device array of device pointers storing each matrix_i B of dimension (ldb, k) when trans is HIPBLAS_OP_N. Otherwise, of dimension (ldb, n).
[in]ldb- [int] ldb specifies the first dimension of B. If trans = HIPBLAS_OP_N, ldb >= max( 1, n ). Otherwise, ldb >= max( 1, k ).
[in]betabeta specifies the scalar beta. When beta is zero, then C does not need to be set before entry.
[in]CP- device array of device pointers storing each matrix C_i on the GPU.
[in]ldc- [int] ldc specifies the first dimension of C. ldc >= max( 1, n ).
[in]batchCount- [int] number of instances in the batch.

Member Function/Subroutine Documentation

◆ hipblasssyrkxbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasssyrkxbatched::hipblasssyrkxbatched_ ( 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,
real(c_float)  alpha,
type(c_ptr), value  ap,
integer(c_int), value  lda,
type(c_ptr), value  bp,
integer(c_int), value  ldb,
real(c_float)  beta,
type(c_ptr), value  cp,
integer(c_int), value  ldc,
integer(c_int), value  batchcount 
)

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