Contents

# 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
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.
b
Buffer holding the output matrix
B
.
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
ldb
B
. Must be positive.
transb
=
transpose::nontrans
transb
=
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
).

## 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
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.
b
Pointer to output matrix
B
.
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
ldb
B
. Must be positive.
transb
=
transpose::nontrans
transb
=
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
).
Return Values
Output event to wait for to ensure computation is complete.

#### Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.