ger

oneMKL - Data Parallel C++ Developer Reference

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ID 772045

Date 10/31/2024

Version

Public

Visible to Intel only — GUID: GUID-6DF87B59-E494-4348-BDE8-7D5862AF6D99

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ger

Computes a rank-1 update of a general matrix.

Description

The ger routines compute a scalar-vector-vector product and add the result to a general matrix. The operation is defined as:

where:

alpha is scalar
A is m x n matrix
x is a vector length m
y is a vector length n

ger supports the following precisions:

T
`float`
`double`

ger (Buffer Version)

Syntax

namespace oneapi::mkl::blas::column_major {
    void ger(sycl::queue &queue,
             std::int64_t m,
             std::int64_t n,
             T alpha,
             sycl::buffer<T,1> &x,
             std::int64_t incx,
             sycl::buffer<T,1> &y,
             std::int64_t incy,
             sycl::buffer<T,1> &a,
             std::int64_t lda)
}

namespace oneapi::mkl::blas::row_major {
    void ger(sycl::queue &queue,
             std::int64_t m,
             std::int64_t n,
             T alpha,
             sycl::buffer<T,1> &x,
             std::int64_t incx,
             sycl::buffer<T,1> &y,
             std::int64_t incy,
             sycl::buffer<T,1> &a,
             std::int64_t lda)
}

Input Parameters

queue: The queue where the routine should be executed.
m: Number of rows of matrix A. Must be at least zero.
n: Number of columns of matrix A. Must be at least zero.
alpha: Scaling factor for the matrix-vector product.
x: Buffer holding input vector x. Size of the buffer must be at least (1 + (m - 1)*abs(incx)). See Matrix Storage for more details.
incx: Stride of vector x. Must not be zero.
y: Buffer holding input/output vector y. Size of the buffer must be at least (1 + (n - 1)*abs(incy)). See Matrix Storage for more details.
incy: Stride of vector y. Must not be zero.
a: Buffer holding input matrix A. Size of the buffer must be at least lda * n if column major layout is used, or at least lda * m if row major layout is used.
lda: Leading dimension of matrix A. Must be positive and at least m if column major layout is used or at least n if row major layout is used.

Output Parameters

a: Buffer holding updated matrix A.

ger (USM Version)

Syntax

namespace oneapi::mkl::blas::column_major {
    sycl::event ger(sycl::queue &queue,
                    std::int64_t m,
                    std::int64_t n,
                    oneapi::mkl::value_or_pointer<T> alpha,
                    const T *x,
                    std::int64_t incx,
                    const T *y,
                    std::int64_t incy,
                    T *a,
                    std::int64_t lda,
                    const std::vector<sycl::event> &dependencies = {})
}

namespace oneapi::mkl::blas::row_major {
    sycl::event ger(sycl::queue &queue,
                    std::int64_t m,
                    std::int64_t n,
                    oneapi::mkl::value_or_pointer<T> alpha,
                    const T *x,
                    std::int64_t incx,
                    const T *y,
                    std::int64_t incy,
                    T *a,
                    std::int64_t lda,
                    const std::vector<sycl::event> &dependencies = {})
}

Input Parameters

queue: The queue where the routine should be executed.
m: Number of rows of matrix A. Must be at least zero.
n: Number of columns of matrix A. Must be at least zero.
alpha: Scaling factor for the matrix-vector product. See Scalar Arguments for more information on the value_or_pointer data type.
x: Pointer to input vector x. Size of the array holding input vector x must be at least (1 + (m - 1)*abs(incx)). See Matrix Storage for more details.
incx: Stride of vector x. Must not be zero.
y: Pointer to input/output vector y. Size of the array holding input/output vector y must be at least (1 + (n - 1)*abs(incy)). See Matrix Storage for more details.
incy: Stride of vector y. Must not be zero.
a: Pointer to input matrix A. Size of the array must be at least lda * n if column major layout is used, or at least lda * m if row major layout is used.
lda: Leading dimension of matrix A. Must be positive and at least m if column major layout is used or at least n if row major layout is used.
dependencies: List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.

Output Parameters

a: Pointer to updated matrix A.

Return Values

Output event to wait on to ensure computation is complete.

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oneMKL - Data Parallel C++ Developer Reference

ger

Description

ger (Buffer Version)

ger (USM Version)