?gemv_batch_strided

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 4/28/2026

Version

Public

?gemv_batch_strided

Computes groups of matrix-vector product with general matrices.

Syntax

void cblas_sgemv_batch_strided(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE trans,
                               const MKL_INT m, const MKL_INT n, const float alpha,
                               const float *a, const MKL_INT lda, const MKL_INT stridea,
                               const float *x, const MKL_INT incx, const MKL_INT stridex,
                               const float beta, float *y, const MKL_INT incy,
                               const MKL_INT stridey, const MKL_INT batch_size);

void cblas_dgemv_batch_strided(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE trans,
                               const MKL_INT m, const MKL_INT n, const double alpha,
                               const double *a, const MKL_INT lda, const MKL_INT stridea,
                               const double *x, const MKL_INT incx, const MKL_INT stridex,
                               const double beta, double *y, const MKL_INT incy,
                               const MKL_INT stridey, const MKL_INT batch_size);

void cblas_cgemv_batch_strided(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE trans,
                               const MKL_INT m, const MKL_INT n, const void *alpha,
                               const void *a, const MKL_INT lda, const MKL_INT stridea,
                               const void *x, const MKL_INT incx, const MKL_INT stridex,
                               const void *beta, void *y, const MKL_INT incy,
                               const MKL_INT stridey, const MKL_INT batch_size);

void cblas_zgemv_batch_strided(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE trans,
                               const MKL_INT m, const MKL_INT n, const void *alpha,
                               const void *a, const MKL_INT lda, const MKL_INT stridea,
                               const void *x, const MKL_INT incx, const MKL_INT stridex,
                               const void *beta, void *y, const MKL_INT incy,
                               const MKL_INT stridey, const MKL_INT batch_size);

Include Files

mkl.h

Description

The ?gemv_batch_stridedcblas_?gemv_batch_strided routines perform a series of matrix-vector product added to a scaled vector. They are similar to the ?gemvcblas_?gemv routine counterparts, but the ?gemv_batch_stridedcblas_?gemv_batch_strided routines perform matrix-vector operations with groups of matrices and vectors.

All matrices a and vectors x and y have the same parameters (size, increments) and are stored at constant stridea , stridex , and stridey from each other. The operation is defined as

for i = 0 … batch_size – 1
    A is a matrix at offset i * stridea in a
    X and Y are vectors at offset i * stridex and i * stridey in x and y
    Y = alpha * op(A) * X + beta * Y
end for

Input Parameters

layout: Specifies whether two-dimensional array storage is row-major (CblasRowMajor) or column-major (CblasColMajor).

trans

Specifies op(A) the transposition operation applied to the A matrices.

if trans = CblasNoTrans , then op(A) = A;

if trans = CblasTrans , then op(A) = A’;

if trans = CblasConjTrans , then op(A) = conjg(A’).

m

Number of rows of the matrices A . The value of m must be at least 0.

n

Number of columns of the matrices A . The value of n must be at least 0.

alpha: REAL for sgemv_batch_strided DOUBLE PRECISION for dgemv_batch_strided COMPLEX for cgemv_batch_strided DOUBLE COMPLEX for zgemv_batch_strided Specifies the scalar alpha .
a: REAL for sgemv_batch_strided DOUBLE PRECISION for dgemv_batch_strided COMPLEX for cgemv_batch_strided DOUBLE COMPLEX for zgemv_batch_strided Array holding all the input matrix A . Must be of size at least lda * k + stridea * ( batch_size -1) where k is n if column major layout is used or m if row major layout is used.

lda

Specifies the leading dimension of the matrix A . It must be positive and at least m if column major layout is used or at least n if row major layout is used .

stridea

Stride between two consecutive A matrices. Must be at least 0.

x: REAL for sgemv_batch_strided DOUBLE PRECISION for dgemv_batch_strided COMPLEX for cgemv_batch_strided DOUBLE COMPLEX for zgemv_batch_strided Array holding all the input vector x . Must be of size at least (1 + ( len -1)*abs( incx )) + stridex * ( batch_size - 1) where len is n if the A matrix is not transposed or m otherwise.

incx

Stride between two consecutive elements of the x vectors. Must not be zero.

stridex

Stride between two consecutive x vectors, must be at least 0.

beta: REAL for sgemv_batch_strided DOUBLE PRECISION for dgemv_batch_strided COMPLEX for cgemv_batch_strided DOUBLE COMPLEX for zgemv_batch_strided Specifies the scalar beta .
y: REAL for sgemv_batch_strided DOUBLE PRECISION for dgemv_batch_strided COMPLEX for cgemv_batch_strided DOUBLE COMPLEX for zgemv_batch_strided Array holding all the input vectors y . Must be of size at least batch_size * stridey .
incy: INTEGER . Stride between two consecutive elements of the y vectors. Must not be zero.
stridey: INTEGER . Stride between two consecutive y vectors, must be at least (1 + (len-1)*abs( incy )) where len is m if the matrix A is non transpose or n otherwise.
batch_size: INTEGER . Number of gemv computations to perform and a matrices, x and y vectors. Must be at least 0.

Output Parameters

y: Array holding the batch_size updated vector y .

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Developer Reference for Intel® oneAPI Math Kernel Library for C

?gemv_batch_strided

Syntax

Include Files

Description

Input Parameters

Output Parameters