rocblas_sspmv_strided_batched Interface Reference

rocblas_sspmv_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_sspmv_strided_batched Interface Reference
hipfort_rocblas::rocblas_sspmv_strided_batched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_sspmv_strided_batched_ (handle, uplo, n, alpha, a, stridea, x, incx, stridex, beta, y, incy, stridey, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_sspmv_strided_batched_rank_0 (handle, uplo, n, alpha, a, stridea, x, incx, stridex, beta, y, incy, stridey, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_sspmv_strided_batched_rank_1 (handle, uplo, n, alpha, a, stridea, x, incx, stridex, beta, y, incy, stridey, batch_count)
 

Detailed Description

BLAS Level 2 API.

The spmv_strided_batched functions perform the matrix-vector operation:

y_i := alpha*A_i*x_i + beta*y_i

where (A_i, x_i, y_i) is the i-th instance of the batch, alpha and beta are scalars, x_ and y_i are vectors, and A_i is an n by n symmetric matrix, for i = 1, ..., batch_count. A should contain an upper or lower triangular n by n packed symmetric matrix.

Parameters
[in]handle- [rocblas_handle] handle to the rocBLAS library context queue.
[in]uplo- [rocblas_fill] specifies either upper (rocblas_fill_upper) or lower (rocblas_fill_lower).
  • if rocblas_fill_upper, the lower part of A is not referenced.
  • if rocblas_fill_lower, the upper part of A is not referenced.
[in]n- [rocblas_int] number of rows and columns of each matrix A_i.
[in]alphadevice pointer or host pointer to scalar alpha.
[in]A- Device pointer to the first matrix A_1 on the GPU.
[in]strideA- [rocblas_stride] stride from the start of one matrix (A_i) to the next one (A_i+1).
[in]x- Device pointer to the first vector x_1 on the GPU.
[in]incx- [rocblas_int] specifies the increment for the elements of each vector x_i.
[in]stridex- [rocblas_stride] stride from the start of one vector (x_i) to the next one (x_i+1). There are no restrictions placed on stridex. However, ensure that stridex is of an appropriate size. This typically means stridex >= n * incx. stridex should be non zero.
[in]beta- device pointer or host pointer to scalar beta.
[out]y- Device pointer to the first vector y_1 on the GPU.
[in]incy- [rocblas_int] specifies the increment for the elements of each vector y_i.
[in]stridey- [rocblas_stride] stride from the start of one vector (y_i) to the next one (y_i+1). There are no restrictions placed on stridey. However, ensure that stridey is of an appropriate size. This typically means stridey >= n * incy. stridey should be non zero.
[in]batch_count- [rocblas_int] number of instances in the batch.

Member Function/Subroutine Documentation

◆ rocblas_sspmv_strided_batched_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sspmv_strided_batched::rocblas_sspmv_strided_batched_ ( type(c_ptr), value  handle,
integer(kind(rocblas_fill_upper)), value  uplo,
integer(c_int), value  n,
real(c_float)  alpha,
type(c_ptr), value  a,
integer(c_int64_t), value  stridea,
type(c_ptr), value  x,
integer(c_int), value  incx,
integer(c_int64_t), value  stridex,
real(c_float)  beta,
type(c_ptr), value  y,
integer(c_int), value  incy,
integer(c_int64_t), value  stridey,
integer(c_int), value  batch_count 
)

◆ rocblas_sspmv_strided_batched_rank_0()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sspmv_strided_batched::rocblas_sspmv_strided_batched_rank_0 ( type(c_ptr)  handle,
integer(kind(rocblas_fill_upper))  uplo,
integer(c_int)  n,
real(c_float)  alpha,
real(c_float), target  a,
integer(c_int64_t)  stridea,
real(c_float), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
real(c_float)  beta,
real(c_float), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batch_count 
)

◆ rocblas_sspmv_strided_batched_rank_1()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sspmv_strided_batched::rocblas_sspmv_strided_batched_rank_1 ( type(c_ptr)  handle,
integer(kind(rocblas_fill_upper))  uplo,
integer(c_int)  n,
real(c_float)  alpha,
real(c_float), dimension(:), target  a,
integer(c_int64_t)  stridea,
real(c_float), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
real(c_float)  beta,
real(c_float), dimension(:), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batch_count 
)

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