omatcopy

Intel® oneAPI Math Kernel Library (oneMKL) - Data Parallel C++ Developer Reference

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ID 772045

Date 12/16/2022

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omatcopy

Computes an out-of-place scaled matrix transpose or copy operation using a general matrix.

Description

The omatcopy routine performs an out-of-place scaled matrix copy or transposition. The operation is defined as:

where:

op(X) is one of op(X) = X, or op(X) = X^T, or op(X) = X^H
alpha is a scalar
A and B are matrices
A is m x n matrix
B is m x n matrix if op is non-transpose and an n x m matrix otherwise.

omatcopy supports the following precisions:

T
`float`
`double`
`std::complex<float>`
`std::complex<double>`

omatcopy (Buffer Version)

Syntax

namespace oneapi::mkl::blas::column_major {
    void omatcopy(sycl::queue &queue,
                  oneapi::mkl::transpose trans,
                  std::int64_t m,
                  std::int64_t n,
                  T alpha,
                  sycl::buffer<T, 1> &a,
                  std::int64_t lda,
                  sycl::buffer<T, 1> &b,
                  std::int64_t ldb);
}

namespace oneapi::mkl::blas::row_major {
    void omatcopy(sycl::queue &queue,
                  oneapi::mkl::transpose trans,
                  std::int64_t m,
                  std::int64_t n,
                  T alpha,
                  sycl::buffer<T, 1> &a,
                  std::int64_t lda,
                  sycl::buffer<T, 1> &b,
                  std::int64_t ldb);
}

Input Parameters

queue

The queue where the routine will be executed.

trans

Specifies op(A), the transposition operation applied to the matrix A. See Data Types for more details.

m

Number of rows for the matrix A. Must be at least zero.

n

Number of columns for the matrix A. Must be at least zero.

alpha

Scaling factor for the matrix transposition or copy.

a

Buffer holding the input matrix A. Must have size at least lda * n for column-major and at least lda * m for row-major.

lda

Leading dimension of the matrix A. If matrices are stored using column major layout, lda must be at least m. If matrices are stored using row major layout, lda must be at least n. Must be positive.

ldb

Leading dimension of the matrix B. Must be positive.

	`trans` = `transpose::nontrans`	`trans` = `transpose::trans` or `trans` = `transpose::conjtrans`
Column major	Must be at least `m`	Must be at least `n`
Row major	Must be at least `n`	Must be at least `m`

Output Parameters

b

Output buffer, overwritten by alpha * op(A).

	`trans` = `transpose::nontrans`	`trans` = `transpose::trans` or `trans` = `transpose::conjtrans`
Column major	`B` is `m` x `n` matrix. Size of array `b` must be at least `ldb` * `n`	`B` is `n` x `m` matrix. Size of array `a` must be at least `ldb` * `m`
Row major	`B` is `m` x `n` matrix. Size of array `b` must be at least `ldb` * `m`	`B` is `n` x `m` matrix. Size of array `b` must be at least `ldb` * `n`

omatcopy (USM Version)

Syntax

USM arrays:

namespace oneapi::mkl::blas::column_major {
    sycl::event omatcopy(sycl::queue &queue,
                         oneapi::mkl::transpose trans,
                         std::int64_t m,
                         std::int64_t n,
                         T alpha,
                         const T *a,
                         std::int64_t lda,
                         T *b,
                         std::int64_t ldb,
                         const std::vector<sycl::event> &dependencies = {});
}

namespace oneapi::mkl::blas::row_major {
    sycl::event omatcopy(sycl::queue &queue,
                         oneapi::mkl::transpose trans,
                         std::int64_t m,
                         std::int64_t n,
                         T alpha,
                         const T *a,
                         std::int64_t lda,
                         T *b,
                         std::int64_t ldb,
                         const std::vector<sycl::event> &dependencies = {});
}

Input Parameters

queue

The queue where the routine will be executed.

trans

Specifies op(A), the transposition operation applied to matrix A. See Data Types for more details.

m

Number of rows for the matrix A. Must be at least zero.

n

Number of columns for the matrix A. Must be at least zero.

alpha

Scaling factor for the matrix transposition or copy.

a

Pointer to input matrix A. Must have size at least lda * n for column-major and at least lda * m for row-major.

lda

ldb

Leading dimension of the matrix B. Must be positive.

	`trans` = `transpose::nontrans`	`trans` = `transpose::trans` or `trans` = `transpose::conjtrans`
Column major	Must be at least `m`	Must be at least `n`
Row major	Must be at least `n`	Must be at least `m`

dependencies

List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.

Output Parameters

b

Pointer to output matrix B overwritten by alpha * op(A).

	`trans` = `transpose::nontrans`	`trans` = `transpose::trans` or `trans` = `transpose::conjtrans`
Column major	`B` is `m` x `n` matrix. Size of array `b` must be at least `ldb` * `n`	`B` is `n` x `m` matrix. Size of array `a` must be at least `ldb` * `m`
Row major	`B` is `m` x `n` matrix. Size of array `b` must be at least `ldb` * `m`	`B` is `n` x `m` matrix. Size of array `b` must be at least `ldb` * `n`

Return Values

Output event to wait for to ensure computation is complete.

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Intel® oneAPI Math Kernel Library (oneMKL) - Data Parallel C++ Developer Reference

omatcopy

Description

omatcopy (Buffer Version)

omatcopy (USM Version)